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Seong-Whan Lee
Person information
- affiliation: Korea University, Seoul, South Korea
- affiliation (former): Chungbuk National University, Cheongju, South Korea
- affiliation (PhD 1989): Korea Advanced Institute of Science and Technology, Seoul, South Korea
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2020 – today
- 2026
[j225]Yeong-Jin Kim
, Ho-Joong Kim
, Seong-Whan Lee
:
InterHier: Learning Interconnected Hierarchical Semantics for Open-Vocabulary Object Detection. IEEE Access 14: 14709-14721 (2026)
[j224]Jae-Wook Han
, Hayoung Jo
, Jung-Ho Hong
, Seong-Whan Lee
:
Negative Contrastive Chain-of-Thought Distillation for Transfer Reasoning Capability to Small Language Models. IEEE Access 14: 118580-118590 (2026)
[j223]Young-Seok Kweon
, Gi-Hwan Shin, Ji-Yong Kim
, Bokyeong Ryu, Seong-Whan Lee:
Consciousness-ECG transformer for conscious state estimation system with real-time monitoring. Expert Syst. Appl. 299: 130091 (2026)
[j222]Seo-Hyun Lee
, Shin-Hye Lee
, Seong-Whan Lee
:
Domain transfer learning for multi-class EEG decoding based on lateral feature connected diffusion model. Expert Syst. Appl. 324: 132526 (2026)
[j221]Hanna Zubkova
, Ji-Hoon Park
, Seong-Whan Lee
:
Leveraging contextual confidence for smarter retrieval in large language models. Neural Networks 200: 108862 (2026)
[j220]Suneung Kim, Seong-Whan Lee
:
Negative prompt-guided optimization: Enhancing soft prompt generalization in vision-language models. Neural Networks 203: 109093 (2026)
[j219]Yehna Kim
, Young-Eun Kim
, Seong-Whan Lee
:
Enhancing spatio-temporal zero-shot action recognition with language-driven description attributes. Pattern Recognit. 172: 112687 (2026)
[j218]Gunho Jung
, Heejo Kong
, Seong-Whan Lee
:
Text-guided weakly supervised framework for dynamic facial expression recognition. Pattern Recognit. 173: 112910 (2026)
[j217]Beom-Chul Park, Minsu Koh, Heejo Kong, Seong-Whan Lee:
Compositional meta-learning for mitigating task heterogeneity in physics-informed neural networks. Pattern Recognit. 179: 113797 (2026)
[j216]Jun-Hyoung Park
, Ho-Jun Song
, Seong-Whan Lee
:
ChemFixer: Correcting Invalid Molecules to Unlock Previously Unseen Chemical Space. IEEE J. Biomed. Health Informatics 30(2): 1772-1784 (2026)
[j215]Young-Seok Kweon
, Gi-Hwan Shin
, Dae-Hyeok Lee
, Seong-Whan Lee
:
SSF-SET: A Discrete EEG Token-Based Framework for Sleep Stage Forecasting. IEEE J. Biomed. Health Informatics 30(8): 6579-6592 (2026)
[j214]Dan Li
, Hye-Bin Shin
, Seong-Whan Lee
:
Toward Memory-Efficient Continual Adaptation for MI-EEG Decoding in BCIs. IEEE Trans. Syst. Man Cybern. Syst. 56(1): 766-778 (2026)
[j213]Seungwon Oh
, Young-Seok Kweon
, Gi-Hwan Shin
, Seong-Whan Lee
:
Pre-Estimation System of Falling Asleep Process Using Distribution-Based Deep Learning Model With Polysomnography. IEEE Trans. Syst. Man Cybern. Syst. 56(6): 3895-3906 (2026)
[c396]Deok-Hyeon Cho, Hyung-Seok Oh, Seung-Bin Kim, Seong-Whan Lee:
Affectron: Emotional Speech Synthesis with Affective and Contextually Aligned Nonverbal Vocalizations. ACL (Findings) 2026: 27502-27525
[c395]Jun-Hak Yun, Seung-Bin Kim, Seong-Whan Lee:
ImmersiveTTS: Environment-Aware Text-to-Speech with Multimodal Diffusion Transformer and Domain-Specific Representation Alignment. ACL (1) 2026: 38295-38314
[c394]Yearang Lee, Ho-Joong Kim, Seong-Whan Lee:
TF-CADE: Foreground-Concentrated Text-Video Alignment for Zero-Shot Temporal Action Detection. CVPR 2026: 2843-2852
[c393]Hyung-Seok Oh, Deok-Hyeon Cho, Seung-Bin Kim, Seong-Whan Lee:
Toward Complex-Valued Neural Networks for Waveform Generation. ICLR 2026
[c392]Ji-Hyeon Kim
, Ho-Joong Kim
, Seong-Whan Lee
:
ClipTBP: Clip-Pair Based Temporal Boundary Prediction with Boundary-Aware Learning for Moment Retrieval. ICPR (5) 2026: 235-250
[i168]Geon Park, Ji-Hoon Park, Seong-Whan Lee:
DQE-CIR: Distinctive Query Embeddings through Learnable Attribute Weights and Target Relative Negative Sampling in Composed Image Retrieval. CoRR abs/2603.04037 (2026)
[i167]Hyung-Seok Oh, Deok-Hyeon Cho, Seung-Bin Kim, Seong-Whan Lee:
Toward Complex-Valued Neural Networks for Waveform Generation. CoRR abs/2603.11589 (2026)
[i166]Deok-Hyeon Cho, Hyung-Seok Oh, Seung-Bin Kim, Seong-Whan Lee:
Affectron: Emotional Speech Synthesis with Affective and Contextually Aligned Nonverbal Vocalizations. CoRR abs/2603.14432 (2026)
[i165]Beom-Chul Park, Minsu Koh, Heejo Kong, Seong-Whan Lee:
Compositional Meta-Learning for Mitigating Task Heterogeneity in Physics-Informed Neural Networks. CoRR abs/2604.26999 (2026)
[i164]Ji-Hyeon Kim, Ho-Joong Kim, Seong-Whan Lee:
ClipTBP: Clip-Pair based Temporal Boundary Prediction with Boundary-Aware Learning for Moment Retrieval. CoRR abs/2604.27591 (2026)
[i163]Yeong-Joon Ju, Seong-Whan Lee:
Citation-Closure Retrieval and Per-Rule Attribution for Real-World Regulatory Compliance Question Answering. CoRR abs/2605.29742 (2026)
[i162]Jun-Hak Yun, Seung-Bin Kim, Seong-Whan Lee:
ImmersiveTTS: Environment-Aware Text-to-Speech with Multimodal Diffusion Transformer and Domain-Specific Representation Alignment. CoRR abs/2605.30965 (2026)
[i161]Joon-Seung Choi, Dong-Min Byun, Seong-Whan Lee:
Vibrato Expression Control for Singing Voice Conversion with Improving Independent Control. CoRR abs/2606.17126 (2026)
[i160]Hyung-Seok Oh, Deok-Hyeon Cho, Seung-Bin Kim, Seong-Whan Lee:
L-Proto: Language-Aware Episodic Prototypical Training for Multilingual Speaker Verification. CoRR abs/2606.17416 (2026)
[i159]Heejo Kong, Beom-Chul Park, Sung-Jin Kim, Seong-Whan Lee:
Modularity-Free Conflict-Averse Training for Generalized PINNs. CoRR abs/2606.20156 (2026)
[i158]Gunho Jung, Jeong-Woo Park, Seon Bin Kim, Seong-Whan Lee:
Thinking Before Retrieving: Robust Zero-Shot Composed Image Retrieval via Strategic Planning and Self-Criticism. CoRR abs/2606.31222 (2026)
[i157]Jae-Ryung Hong, Ho-Joong Kim, Seong-Whan Lee:
ProCal: Inference-Time Proposal Calibration for Open-Vocabulary Object Detection. CoRR abs/2607.01759 (2026)
[i156]Gwangho Na, Ho-Joong Kim, Seong-Whan Lee:
DiCE-CIR: Direct Composition Learning for Efficient Zero-Shot Composed Image Retrieval. CoRR abs/2607.04665 (2026)
[i155]Stepanida Alekseeva, Jenifer Kalafatovich, Seong-Whan Lee:
Tree-of-Thoughts Reasoning for Text-to-Image In-Context Learning. CoRR abs/2607.07117 (2026)
[i154]Ji-Hoon Heo, Aleksandra Joanna Wisniewska, Seo-Hyun Lee, Seong-Whan Lee:
Cross-Subject Semantic Decoding with Shared-Space Alignment for Generalized Neural Representation Learning. CoRR abs/2607.19394 (2026)
[i153]Yixin Liu, Kang Yin, Hye-Bin Shin, Seong-Whan Lee:
Decoding Error-Related Potentials under Multisensory Feedback with Varying Congruency. CoRR abs/2607.24806 (2026)
[i152]Myeong-Ju Cho, Hye-Bin Shin, Seo-Hyun Lee, Seong-Whan Lee:
Continuous-Latent Predictive Modeling with Semantic Alignment for EEG-Language Foundation Models. CoRR abs/2608.11656 (2026)
[i151]Yearang Lee, Ho-Joong Kim, Seong-Whan Lee:
TF-CADE: Foreground-Concentrated Text-Video Alignment for Zero-Shot Temporal Action Detection. CoRR abs/2608.17422 (2026)
[i150]Yeong-Jin Kim, Ho-Joong Kim, Seong-Whan Lee:
InterHier: Learning Interconnected Hierarchical Semantics for Open-Vocabulary Object Detection. CoRR abs/2609.24026 (2026)- 2025
[j212]Dong-Kyun Han
, Minji Lee
, Seong-Whan Lee
:
Multi-layer prototype learning with Dirichlet mixup for open-set EEG recognition. Expert Syst. Appl. 266: 126047 (2025)
[j211]Yun Kwan Kim
, Insung Choi
, Sun Jung Lee
, Hye-Bin Shin
, Gyung Chul Kim
, Hee Seok Song
, Minji Lee
, Seong-Whan Lee
:
A brain-inspired model for multi-step forecasting of malignant arrhythmias. Expert Syst. Appl. 270: 126373 (2025)
[j210]Byoung-Hee Kwon
, Minji Lee
, Seong-Whan Lee
:
Functional connectivity guided deep neural network for decoding high-level visual imagery. Expert Syst. Appl. 294: 128734 (2025)
[j209]Ji-Sang Hwang
, Sang-Hoon Lee
, Seong-Whan Lee
:
HiddenSinger: High-quality singing voice synthesis via neural audio codec and latent diffusion models. Neural Networks 181: 106762 (2025)
[j208]Suneung Kim, Seong-Whan Lee
:
AmbiBias Contrast: Enhancing debiasing networks via disentangled space from ambiguity-bias clusters. Neural Networks 181: 106857 (2025)
[j207]Lintong Zhang, Kang Yin
, Seong-Whan Lee
:
Semantic prioritization in visual counterfactual explanations with weighted segmentation and auto-adaptive region selection. Neural Networks 184: 107097 (2025)
[j206]Sun-Hyuk Choi, Hayoung Jo, Seong-Whan Lee
:
MTCM: Multi-context temporal consistent modeling for referring video object segmentation. Neural Networks 190: 107701 (2025)
[j205]Woo-Jeoung Nam
, Seong-Whan Lee
:
Illuminating Salient Contributions in Neuron Activation With Attribution Equilibrium. IEEE Trans. Pattern Anal. Mach. Intell. 47(2): 1120-1131 (2025)
[j204]Minsoo Kang
, Seong-Whan Lee
, Suhyun Kim
:
Model-Agnostic and Efficient Mixup Augmentation Guided by Saliency Maps. IEEE Trans. Pattern Anal. Mach. Intell. 47(8): 6946-6958 (2025)
[j203]Hyung-Seok Oh
, Sang-Hoon Lee
, Deok-Hyeon Cho
, Seong-Whan Lee
:
DurFlex-EVC: Duration-Flexible Emotional Voice Conversion Leveraging Discrete Representations Without Text Alignment. IEEE Trans. Affect. Comput. 16(3): 1660-1674 (2025)
[j202]Deok-Hyeon Cho
, Hyung-Seok Oh
, Seung-Bin Kim
, Seong-Whan Lee
:
EmoSphere++: Emotion-Controllable Zero-Shot Text-to-Speech Via Emotion-Adaptive Spherical Vector. IEEE Trans. Affect. Comput. 16(3): 2365-2380 (2025)
[j201]Myoung-Ki Kim
, Hye-Bin Shin
, Jeong-Hyun Cho
, Seong-Whan Lee
:
Developing Brain-Based Bare-Handed Human-Machine Interaction via On-Skin Input. IEEE Trans. Cybern. 55(4): 1554-1567 (2025)
[j200]Seo-Hyeon Park, Dong-Kyun Han
, Geun-Deok Jang
, Seong-Whan Lee
:
Dynamic Multi-Biosignal Fusion for Detecting the Mental States of Drivers and Passengers in Vehicles. IEEE J. Biomed. Health Informatics 29(10): 7104-7115 (2025)
[j199]Dong-Young Kim
, Dong-Kyun Han
, Ji-Hoon Jeong
, Seong-Whan Lee
:
Calibration-Free Driver Drowsiness Classification With Prototype-Based Multi-Domain Mixup. IEEE Trans. Intell. Transp. Syst. 26(3): 2955-2966 (2025)
[j198]Heejo Kong
, Sung-Jin Kim
, Gunho Jung
, Seong-Whan Lee
:
Diversify and Conquer: Open-Set Disagreement for Robust Semi-Supervised Learning With Outliers. IEEE Trans. Neural Networks Learn. Syst. 36(6): 9879-9892 (2025)
[j197]Young-Eun Kim
, Gyeong-Min Bak, Seong-Whan Lee
:
Language-Driven Spatial-Semantic Cross-Attention for Face Attribute Recognition With Limited Labeled Data. IEEE Trans. Neural Networks Learn. Syst. 36(6): 10981-10992 (2025)
[j196]Seung-Hyup Na
, Seong-Whan Lee
:
Counterfactual Explanation Through Latent Adjustment in Disentangled Space of Diffusion Model. IEEE Trans. Neural Networks Learn. Syst. 36(10): 18355-18368 (2025)
[j195]Sang-Hoon Lee
, Ha-Yeong Choi
, Seung-Bin Kim
, Seong-Whan Lee
:
HierSpeech++: Bridging the Gap Between Semantic and Acoustic Representation of Speech by Hierarchical Variational Inference for Zero-Shot Speech Synthesis. IEEE Trans. Neural Networks Learn. Syst. 36(10): 18422-18436 (2025)
[j194]Yeon-Woo Choi
, Hye-Bin Shin
, Seong-Whan Lee
:
Brain-Guided Self-Paced Curriculum Learning for Adaptive Human-Machine Interfaces. IEEE Trans. Syst. Man Cybern. Syst. 55(7): 4693-4704 (2025)
[j193]Yun Kwan Kim
, Minji Lee
, Hee Seok Song
, Seong-Whan Lee
:
Local-Global Temporal Fusion Network With an Attention Mechanism for Multiple and Multiclass Arrhythmia Classification. IEEE Trans. Syst. Man Cybern. Syst. 55(10): 6569-6584 (2025)
[c391]Jumin Han, Jun-Hee Kim, Seong-Whan Lee:
ProPose: Probabilistic 3D Human Pose Estimation with Instance-Level Distribution and Normalizing Flow. AAAI 2025: 3338-3346
[c390]Yeong-Joon Ju, Ho-Joong Kim, Seong-Whan Lee:
MIRe: Enhancing Multimodal Queries Representation via Fusion-Free Modality Interaction for Multimodal Retrieval. ACL (Findings) 2025: 5350-5363
[c389]Heon-Gyu Kwak, Gi-Hwan Shin, Yeon-Woo Choi, Dong-Hoon Lee, Yoo-In Jeon, Jun-Su Kang, Seong-Whan Lee:
Towards Personalized Brain-Computer Interface Application Based on Endogenous EEG Paradigms. BCI 2025: 1-4
[c388]Ji-Ha Park, Seo-Hyun Lee, Soowon Kim, Seong-Whan Lee:
Dynamic Neural Communication: Convergence of Computer Vision and Brain-Computer Interface. BCI 2025: 1-4
[c387]Kang Yin
, Hye-Bin Shin, Dan Li, Seong-Whan Lee:
EEG-Based Multimodal Representation Learning for Emotion Recognition. BCI 2025: 1-4
[c386]Ho-Joong Kim, Yearang Lee, Jung-Ho Hong, Seong-Whan Lee:
DiGIT: Multi-Dilated Gated Encoder and Central-Adjacent Region Integrated Decoder for Temporal Action Detection Transformer. CVPR 2025: 24286-24296
[c385]Jung-Ho Hong, Ho-Joong Kim, Kyu-Sung Jeon, Seong-Whan Lee:
Comprehensive Information Bottleneck for Unveiling Universal Attribution to Interpret Vision Transformers. CVPR 2025: 25166-25175
[c384]Lintong Zhang, Kang Yin, Seong-Whan Lee:
Towards Fine-Grained Interpretability: Counterfactual Explanations for Misclassification with Saliency Partition. CVPR 2025: 30053-30062
[c383]Keon-Woo Roh, Yeong-Joon Ju, Seong-Whan Lee:
XLQA: A Benchmark for Locale-Aware Multilingual Open-Domain Question Answering. EMNLP 2025: 28809-28821
[c382]Seung-Bin Kim, Junhyeok Cha
, Hyung-Seok Oh, Heejin Choi, Seong-Whan Lee:
FillerSpeech: Towards Human-Like Text-to-Speech Synthesis with Filler Insertion and Filler Style Control. EMNLP 2025: 34108-34125
[c381]Junhyeok Cha
, Seung-Bin Kim, Hyung-Seok Oh, Seong-Whan Lee:
JELLY: Joint Emotion Recognition and Context Reasoning with LLMs for Conversational Speech Synthesis. ICASSP 2025: 1-5
[c380]Sun-Hyuk Choi, Hayoung Jo, Seong-Whan Lee:
Multi-Context Temporal Consistent Modeling for Referring Video Object Segmentation. ICASSP 2025: 1-5
[c379]Ji-Ha Park, Seo-Hyun Lee, Soowon Kim, Seong-Whan Lee:
Towards Dynamic Neural Communication and Speech Neuroprosthesis Based on Viseme Decoding. ICASSP 2025: 1-5
[c378]Jun-Hak Yun, Seung-Bin Kim, Seong-Whan Lee:
FLowHigh: Towards Efficient and High-Quality Audio Super-Resolution with Single-Step Flow Matching. ICASSP 2025: 1-5
[c377]Hanna Zubkova, Ji-Hoon Park, Seong-Whan Lee:
SUGAR: Leveraging Contextual Confidence for Smarter Retrieval. ICASSP 2025: 1-5
[c376]Jun-Hee Kim, Jumin Han, Seong-Whan Lee:
PoseAnchor: Robust Root Position Estimation for 3D Human Pose Estimation. ICCV 2025: 7079-7088
[c375]Sang-Hoon Lee, Ha-Yeong Choi, Seong-Whan Lee:
PeriodWave: Multi-Period Flow Matching for High-Fidelity Waveform Generation. ICLR 2025
[c374]Singon Kim, Gunho Jung, Seong-Whan Lee:
ACoRN: Noise-Robust Abstractive Compression in Retrieval-Augmented Language Models. IJCNN 2025: 1-8
[c373]Kun-Woo Kim, Ji-Hoon Park, Ju-Min Han, Seong-Whan Lee:
GRAIL: Gradient-Based Adaptive Unlearning for Privacy and Copyright in LLMs. IJCNN 2025: 1-8
[c372]Minsu Koh, Beom-Chul Park, Heejo Kong, Seong-Whan Lee:
Integrating Locality-Aware Attention with Transformers for General Geometry PDEs. IJCNN 2025: 1-8
[c371]Ebenezer Tarubinga
, Jenifer Kalafatovich
, Seong-Whan Lee:
CW-BASS: Confidence-Weighted Boundary-Aware Learning for Semi-Supervised Semantic Segmentation. IJCNN 2025: 1-8
[c370]Deok-Hyeon Cho, Hyung-Seok Oh, Seung-Bin Kim, Seong-Whan Lee:
DiEmo-TTS: Disentangled Emotion Representations via Self-Supervised Distillation for Cross-Speaker Emotion Transfer in Text-to-Speech. INTERSPEECH 2025
[c369]Deok-Hyeon Cho, Hyung-Seok Oh, Seung-Bin Kim, Seong-Whan Lee:
EmoSphere-SER: Enhancing Speech Emotion Recognition Through Spherical Representation with Auxiliary Classification. INTERSPEECH 2025
[c368]Joon-Seung Choi, Dong-Min Byun, Hyung-Seok Oh, Seong-Whan Lee:
VibE-SVC: Vibrato Extraction with High-frequency F0 Contour for Singing Voice Conversion. INTERSPEECH 2025
[c367]Nam-Gyu Kim, Deok-Hyeon Cho, Seung-Bin Kim, Seong-Whan Lee:
Spotlight-TTS: Spotlighting the Style via Voiced-Aware Style Extraction and Style Direction Adjustment for Expressive Text-to-Speech. INTERSPEECH 2025
[c366]Jumin Han, Jun-Hui Kim, Seong-Whan Lee:
Towards Generalizable 3D Human Pose Estimation via Ensembles on Flat Loss Landscapes. NeurIPS 2025
[c365]Min-Jeong Lee, Hee-Dong Kim, Seong-Whan Lee:
Local Representative Token Guided Merging for Text-to-Image Generation. SMC 2025: 966-971
[c364]Juyoung Oh, Ho-Joong Kim, Seong-Whan Lee:
FIQ: Fundamental Question Generation with the Integration of Question Embeddings for Video Question Answering. SMC 2025: 972-977
[c363]Hyun-Jun Jin, Young-Eun Kim, Seong-Whan Lee:
ID-EA: Identity-driven Text Enhancement and Adaptation with Textual Inversion for Personalized Text-to-Image Generation. SMC 2025: 978-983
[c362]Jeong-Woo Park, Seong-Whan Lee:
MCoT-RE: Multi-Faceted Chain-of-Thought and Re-Ranking for Training-Free Zero-Shot Composed Image Retrieval. SMC 2025: 984-989
[c361]Jeong-Woo Park, Young-Eun Kim, Seong-Whan Lee:
FAR-Net: Multi-Stage Fusion Network with Enhanced Semantic Alignment and Adaptive Reconciliation for Composed Image Retrieval. SMC 2025: 990-995
[c360]Young-Beom Woo, Sun-Eung Kim, Seong-Whan Lee:
FlipConcept: Tuning-Free Multi-Concept Personalization for Text-to-Image Generation. SMC 2025: 4390-4395
[c359]Namrah Siddiqua, Sun-Eung Kim, Seong-Whan Lee:
LUMINA-Net: Low-light Upgrade through Multi-stage Illumination and Noise Adaptation Network for Image Enhancement. SMC 2025: 4396-4401
[c358]Suzie Kim, Hye-Bin Shin, Seong-Whan Lee:
Aligning Humans and Robots via Reinforcement Learning from Implicit Human Feedback. SMC 2025: 4579-4584
[c357]Woo-Chan Kim, Ji-Hoon Park, Seong-Whan Lee:
KiC: Keyword-inspired Cascade for Cost-Efficient Text Generation with LLMs. SMC 2025: 6365-6370
[c356]Geon Park, Seon Bin Kim, Gunho Jung, Seong-Whan Lee:
RaDL: Relation-aware Disentangled Learning for Multi-Instance Text-to-Image Generation. SMC 2025: 6371-6376
[c355]Hyo-Jeong Jang, Hye-Bin Shin, Seong-Whan Lee:
Uncertainty-Aware Cross-Modal Knowledge Distillation with Prototype Learning for Multimodal Brain-Computer Interfaces. SMC 2025: 6682-6687
[i149]Hanna Zubkova, Ji-Hoon Park, Seong-Whan Lee:
SUGAR: Leveraging Contextual Confidence for Smarter Retrieval. CoRR abs/2501.04899 (2025)
[i148]Junhyeok Cha, Seung-Bin Kim, Hyung-Seok Oh, Seong-Whan Lee:
JELLY: Joint Emotion Recognition and Context Reasoning with LLMs for Conversational Speech Synthesis. CoRR abs/2501.04904 (2025)
[i147]Jun-Hak Yun, Seung-Bin Kim, Seong-Whan Lee:
FLowHigh: Towards Efficient and High-Quality Audio Super-Resolution with Single-Step Flow Matching. CoRR abs/2501.04926 (2025)
[i146]Sun-Hyuk Choi, Hayoung Jo, Seong-Whan Lee:
Multi-Context Temporal Consistent Modeling for Referring Video Object Segmentation. CoRR abs/2501.04939 (2025)
[i145]Ji-Ha Park, Seo-Hyun Lee, Soowon Kim, Seong-Whan Lee:
Towards Dynamic Neural Communication and Speech Neuroprosthesis Based on Viseme Decoding. CoRR abs/2501.14790 (2025)
[i144]Singon Kim, Gunho Jung, Seong-Whan Lee:
ACoRN: Noise-Robust Abstractive Compression in Retrieval-Augmented Language Models. CoRR abs/2504.12673 (2025)
[i143]Kun-Woo Kim, Ji-Hoon Park, Ju-Min Han, Seong-Whan Lee:
GRAIL: Gradient-Based Adaptive Unlearning for Privacy and Copyright in LLMs. CoRR abs/2504.12681 (2025)
[i142]Minsu Koh, Beom-Chul Park, Heejo Kong, Seong-Whan Lee:
Integrating Locality-Aware Attention with Transformers for General Geometry PDEs. CoRR abs/2504.13480 (2025)
[i141]Ho-Joong Kim, Yearang Lee, Jung-Ho Hong, Seong-Whan Lee:
DiGIT: Multi-Dilated Gated Encoder and Central-Adjacent Region Integrated Decoder for Temporal Action Detection Transformer. CoRR abs/2505.05711 (2025)
[i140]Deok-Hyeon Cho, Hyung-Seok Oh, Seung-Bin Kim, Seong-Whan Lee:
DiEmo-TTS: Disentangled Emotion Representations via Self-Supervised Distillation for Cross-Speaker Emotion Transfer in Text-to-Speech. CoRR abs/2505.19687 (2025)
[i139]Deok-Hyeon Cho, Hyung-Seok Oh, Seung-Bin Kim, Seong-Whan Lee:
EmoSphere-SER: Enhancing Speech Emotion Recognition Through Spherical Representation with Auxiliary Classification. CoRR abs/2505.19693 (2025)
[i138]Joon-Seung Choi, Dong-Min Byun, Hyung-Seok Oh, Seong-Whan Lee:
VibE-SVC: Vibrato Extraction with High-frequency F0 Contour for Singing Voice Conversion. CoRR abs/2505.20794 (2025)
[i137]Nam-Gyu Kim, Deok-Hyeon Cho, Seung-Bin Kim, Seong-Whan Lee:
Spotlight-TTS: Spotlighting the Style via Voiced-Aware Style Extraction and Style Direction Adjustment for Expressive Text-to-Speech. CoRR abs/2505.20868 (2025)
[i136]Heejo Kong, Sung-Jin Kim, Gunho Jung, Seong-Whan Lee:
Diversify and Conquer: Open-set Disagreement for Robust Semi-supervised Learning with Outliers. CoRR abs/2505.24443 (2025)
[i135]Ebenezer Tarubinga
, Jenifer Kalafatovich
, Seong-Whan Lee:
FARCLUSS: Fuzzy Adaptive Rebalancing and Contrastive Uncertainty Learning for Semi-Supervised Semantic Segmentation. CoRR abs/2506.11142 (2025)
[i134]Jung-Ho Hong, Ho-Joong Kim, Kyu-Sung Jeon, Seong-Whan Lee:
Comprehensive Information Bottleneck for Unveiling Universal Attribution to Interpret Vision Transformers. CoRR abs/2507.04388 (2025)
[i133]Geon Park, Seon Bin Kim, Gunho Jung, Seong-Whan Lee:
RaDL: Relation-aware Disentangled Learning for Multi-Instance Text-to-Image Generation. CoRR abs/2507.11947 (2025)
[i132]Hyun-Jun Jin, Young-Eun Kim, Seong-Whan Lee:
ID-EA: Identity-driven Text Enhancement and Adaptation with Textual Inversion for Personalized Text-to-Image Generation. CoRR abs/2507.11990 (2025)
[i131]Min-Jeong Lee, Hee-Dong Kim, Seong-Whan Lee:
Local Representative Token Guided Merging for Text-to-Image Generation. CoRR abs/2507.12771 (2025)
[i130]Ju-Young Oh, Ho-Joong Kim, Seong-Whan Lee:
FIQ: Fundamental Question Generation with the Integration of Question Embeddings for Video Question Answering. CoRR abs/2507.12816 (2025)
[i129]Jeong-Woo Park, Seong-Whan Lee:
MCoT-RE: Multi-Faceted Chain-of-Thought and Re-Ranking for Training-Free Zero-Shot Composed Image Retrieval. CoRR abs/2507.12819 (2025)
[i128]Jeong-Woo Park, Young-Eun Kim, Seong-Whan Lee:
FAR-Net: Multi-Stage Fusion Network with Enhanced Semantic Alignment and Adaptive Reconciliation for Composed Image Retrieval. CoRR abs/2507.12823 (2025)
[i127]Hyo-Jeong Jang, Hye-Bin Shin, Seong-Whan Lee:
Uncertainty-Aware Cross-Modal Knowledge Distillation with Prototype Learning for Multimodal Brain-Computer Interfaces. CoRR abs/2507.13092 (2025)
[i126]Suzie Kim, Hye-Bin Shin, Seong-Whan Lee:
Aligning Humans and Robots via Reinforcement Learning from Implicit Human Feedback. CoRR abs/2507.13171 (2025)
[i125]Woo-Chan Kim, Ji-Hoon Park, Seong-Whan Lee:
KiC: Keyword-inspired Cascade for Cost-Efficient Text Generation with LLMs. CoRR abs/2507.13666 (2025)
[i124]Yeong-Joon Ju, Seong-Whan Lee:
From Generator to Embedder: Harnessing Innate Abilities of Multimodal LLMs via Building Zero-Shot Discriminative Embedding Model. CoRR abs/2508.00955 (2025)
[i123]Keon-Woo Roh, Yeong-Joon Ju, Seong-Whan Lee:
XLQA: A Benchmark for Locale-Aware Multilingual Open-Domain Question Answering. CoRR abs/2508.16139 (2025)
[i122]Jung-Woo Shim, Yeong-Joon Ju, Ji-Hoon Park, Seong-Whan Lee:
CPR: Mitigating Large Language Model Hallucinations with Curative Prompt Refinement. CoRR abs/2510.12029 (2025)
[i121]Jung-Woo Shim, Yeong-Joon Ju, Ji-Hoon Park, Seong-Whan Lee:
Multi-stage Prompt Refinement for Mitigating Hallucinations in Large Language Models. CoRR abs/2510.12032 (2025)
[i120]Byoung-Hee Kwon, Minji Lee, Seong-Whan Lee:
Functional connectivity guided deep neural network for decoding high-level visual imagery. CoRR abs/2510.27075 (2025)
[i119]Deok-Seon Kim, Seo-Hyun Lee, Kang Yin, Seong-Whan Lee:
Reconstructing Unseen Sentences from Speech-related Biosignals for Open-vocabulary Neural Communication. CoRR abs/2510.27247 (2025)
[i118]Yehna Kim, Young-Eun Kim, Seong-Whan Lee:
Enhancing Spatio-Temporal Zero-shot Action Recognition with Language-driven Description Attributes. CoRR abs/2510.27255 (2025)
[i117]Young-Seok Kweon, Gi-Hwan Shin, Ji-Yong Kim, Bokyeong Ryu, Seong-Whan Lee:
Consciousness-ECG Transformer for Conscious State Estimation System with Real-Time Monitoring. CoRR abs/2511.02853 (2025)
[i116]Si-Hyun Kim, Heon-Gyu Kwak, Byoung-Hee Kwon, Seong-Whan Lee:
Meta-cognitive Multi-scale Hierarchical Reasoning for Motor Imagery Decoding. CoRR abs/2511.07884 (2025)
[i115]Jun-Young Kim, Young-Seok Kweon, Gi-Hwan Shin, Seong-Whan Lee:
Neurophysiological Characteristics of Adaptive Reasoning for Creative Problem-Solving Strategy. CoRR abs/2511.07912 (2025)
[i114]Ji-Ha Park, Heon-Gyu Kwak, Gi-Hwan Shin, Yoo-In Jeon, Sun-Min Park, Ji-Yeon Hwang, Seong-Whan Lee:
Toward Practical BCI: A Real-time Wireless Imagined Speech EEG Decoding System. CoRR abs/2511.07936 (2025)
[i113]Lintong Zhang, Kang Yin, Seong-Whan Lee:
Towards Fine-Grained Interpretability: Counterfactual Explanations for Misclassification with Saliency Partition. CoRR abs/2511.07974 (2025)
[i112]Gunho Jung, Heejo Kong, Seong-Whan Lee:
Text-guided Weakly Supervised Framework for Dynamic Facial Expression Recognition. CoRR abs/2511.10958 (2025)
[i111]Lintong Zhang, Kang Yin, Seong-Whan Lee:
Semantic Prioritization in Visual Counterfactual Explanations with Weighted Segmentation and Auto-Adaptive Region Selection. CoRR abs/2511.12992 (2025)
[i110]Jun-Hyoung Park, Ho-Jun Song, Seong-Whan Lee:
ChemFixer: Correcting Invalid Molecules to Unlock Previously Unseen Chemical Space. CoRR abs/2511.13758 (2025)
[i109]Gi-Hwan Shin, Young-Seok Kweon, Seungwon Oh, Seong-Whan Lee:
Personalized targeted memory reactivation enhances consolidation of challenging memories via slow wave and spindle dynamics. CoRR abs/2511.15013 (2025)
[i108]Geun-Deok Jang, Dong-Kyun Han, Seo-Hyeon Park, Seong-Whan Lee:
Calibration-Free EEG-based Driver Drowsiness Detection with Online Test-Time Adaptation. CoRR abs/2511.22030 (2025)- 2024
[j192]Ji-Hoon Park
, Yeong-Joon Ju
, Seong-Whan Lee
:
Explaining generative diffusion models via visual analysis for interpretable decision-making process. Expert Syst. Appl. 248: 123231 (2024)
[j191]Hee-Dong Kim
, Yeong-Joon Ju
, Jung-Ho Hong
, Seong-Whan Lee:
CIRF: Importance of related features for plausible counterfactual explanations. Inf. Sci. 678: 120974 (2024)
[j190]Hayoung Jo
, Seong-Whan Lee:
Edge conditional node update graph neural network for multivariate time series anomaly detection. Inf. Sci. 679: 121062 (2024)
[j189]Minsoo Kang, Minkoo Kang, Seong-Whan Lee, Suhyun Kim
:
Mixup Mask Adaptation: Bridging the gap between input saliency and representations via attention mechanism in feature mixup. Image Vis. Comput. 146: 105013 (2024)
[j188]Kyung-Min Jin, Gun-Hee Lee, Woo-Jeoung Nam
, Tae-Kyung Kang
, Hyun-Woo Kim, Seong-Whan Lee
:
Masked Kinematic Continuity-aware Hierarchical Attention Network for pose estimation in videos. Neural Networks 169: 282-292 (2024)
[j187]Geon-Jun Yang, Jun-Hee Kim
, Seong-Whan Lee
:
Geometry-driven self-supervision for 3D human pose estimation. Neural Networks 174: 106237 (2024)
[j186]Ho-Joong Kim
, Seong-Whan Lee
:
Ensuring spatial scalability with temporal-wise spatial attentive pooling for temporal action detection. Neural Networks 176: 106321 (2024)
[j185]Daniel Shrewsbury, Suneung Kim, Seong-Whan Lee
:
Adaptive ambiguity-aware weighting for multi-label recognition with limited annotations. Neural Networks 180: 106642 (2024)
[j184]Hyun-Woo Kim, Gun-Hee Lee, Woo-Jeoung Nam, Kyung-Min Jin, Tae-Kyung Kang, Geon-Jun Yang, Seong-Whan Lee:
MHCanonNet: Multi-Hypothesis Canonical lifting Network for self-supervised 3D human pose estimation in the wild video. Pattern Recognit. 145: 109908 (2024)
[j183]Kang Yin
, Elissa Yanting Lim, Seong-Whan Lee
:
GITGAN: Generative inter-subject transfer for EEG motor imagery analysis. Pattern Recognit. 146: 110015 (2024)
[j182]Young-Eun Kim
, Yu-Won Lee, Seong-Whan Lee:
LC-MSM: Language-Conditioned Masked Segmentation Model for unsupervised domain adaptation. Pattern Recognit. 148: 110201 (2024)
[j181]Kang Yin
, Elissa Yanting Lim, Seong-Whan Lee:
Corrigendum to "GITGAN: Generative inter-subject transfer for EEG motor imagery analysis" [Pattern Recognition 146 (2024) 110015]. Pattern Recognit. 148: 110217 (2024)
[j180]Suneung Kim, Woo-Jeoung Nam, Seong-Whan Lee:
Appearance debiased gaze estimation via stochastic subject-wise adversarial learning. Pattern Recognit. 152: 110441 (2024)
[j179]Seung-Bin Kim
, Sang-Hoon Lee
, Ha-Yeong Choi
, Seong-Whan Lee
:
Audio Super-Resolution With Robust Speech Representation Learning of Masked Autoencoder. IEEE ACM Trans. Audio Speech Lang. Process. 32: 1012-1022 (2024)
[j178]Hyung-Seok Oh
, Sang-Hoon Lee
, Seong-Whan Lee
:
DiffProsody: Diffusion-Based Latent Prosody Generation for Expressive Speech Synthesis With Prosody Conditional Adversarial Training. IEEE ACM Trans. Audio Speech Lang. Process. 32: 2654-2666 (2024)
[j177]Ji-Hoon Jeong
, In-Gyu Lee
, Sung-Kyung Kim
, Tae-Eui Kam
, Seong-Whan Lee
, Euijong Lee
:
DeepHealthNet: Adolescent Obesity Prediction System Based on a Deep Learning Framework. IEEE J. Biomed. Health Informatics 28(4): 2282-2293 (2024)
[j176]Seungwon Oh
, Young-Seok Kweon
, Gi-Hwan Shin
, Seong-Whan Lee
:
MEDi-SOL: Multi Ensemble Distribution Model for Estimating Sleep Onset Latency. IEEE J. Biomed. Health Informatics 28(7): 4249-4259 (2024)
[j175]Kidon Park
, Hong-Gyu Jung
, Tae-San Eom
, Seong-Whan Lee
:
Uncertainty-Aware Portfolio Management With Risk-Sensitive Multiagent Network. IEEE Trans. Neural Networks Learn. Syst. 35(1): 362-375 (2024)
[c354]Heejo Kong, Suneung Kim, Ho-Joong Kim, Seong-Whan Lee:
Unknown-Aware Graph Regularization for Robust Semi-supervised Learning from Uncurated Data. AAAI 2024: 13265-13273
[c353]Ha-Yeong Choi, Sang-Hoon Lee
, Seong-Whan Lee:
DDDM-VC: Decoupled Denoising Diffusion Models with Disentangled Representation and Prior Mixup for Verified Robust Voice Conversion. AAAI 2024: 17862-17870
[c352]Dong-Kyun Han, Sung-Jin Kim, Heon-Gyu Kwak, Byoung-Hee Kwon, Byeong-Hoo Lee, Seong-Whan Lee:
EEG-Based Target Recognition for Multi-camera Surveillance Systems. BCI 2024: 1-5
[c351]Soowon Kim, Seo-Hyun Lee, Young-Eun Lee, Ji-Won Lee, Ji-Ha Park, Peter Kazanzides, Seong-Whan Lee:
Brain-Driven Representation Learning Based on Diffusion Model. BCI 2024: 1-4
[c350]Hye-Bin Shin, Kang Yin
, Seong-Whan Lee:
Sparse Multitask Learning for Efficient Neural Representation of Motor Imagery and Execution. BCI 2024: 1-4
[c349]Ho-Joong Kim, Jung-Ho Hong, Heejo Kong, Seong-Whan Lee:
TE-TAD: Towards Full End-to-End Temporal Action Detection via Time-Aligned Coordinate Expression. CVPR 2024: 18837-18846
[c348]Hyeon-Taek Han, Sung-Jin Kim, Dae-Hyeok Lee, Seong-Whan Lee:
Proxy-based Masking Module for Revealing Relevance of Characteristics in Motor Imagery. EMBC 2024: 1-4
[c347]Deok-Seon Kim
, Seo-Hyun Lee, Young-Eun Lee, Seong-Whan Lee:
Towards Speech Synthesis of Unconstrained Sentences from Speech-related Biosignals. EMBC 2024: 1-5
[c346]Dan Li, Hye-Bin Shin, Kang Yin, Seong-Whan Lee:
Domain-Incremental Learning Framework for Continual Motor Imagery EEG Classification Task. EMBC 2024: 1-5
[c345]Elissa Yanting Lim, Kang Yin, Hye-Bin Shin, Seong-Whan Lee:
Baseline-Guided Representation Learning for Noise-Robust EEG Signal Classification. EMBC 2024: 1-4
[c344]Seo-Hyeon Park, Dong-Kyun Han, Seong-Whan Lee:
Dynamic Multi-modal Fusion for Biosignal-based Motion Sickness Prediction in Vehicles. EMBC 2024: 1-5
[c343]Ji-Ha Park, Seo-Hyun Lee, Seong-Whan Lee:
Towards EEG-based Talking-face Generation for Brain Signal-driven Dynamic Communication. EMBC 2024: 1-5
[c342]Sang-Hoon Lee
, Ha-Yeong Choi, Seong-Whan Lee:
Cross-Lingual Text-to-Speech via Hierarchical Style Transfer. ICASSP Workshops 2024: 25-26
[c341]Dong-Min Byun, Sang-Hoon Lee
, Ji-Sang Hwang
, Seong-Whan Lee:
Midi-Voice: Expressive Zero-Shot Singing Voice Synthesis via Midi-Driven Priors. ICASSP 2024: 12622-12626
[c340]Seung-Bin Kim, Sang-Hoon Lee, Seong-Whan Lee:
TranSentence: speech-to-speech Translation via Language-Agnostic Sentence-Level Speech Encoding without Language-Parallel Data. ICASSP 2024: 12722-12726
[c339]Vitaliy Kim, Gunho Jung
, Seong-Whan Lee
:
AM-SORT: Adaptable Motion Predictor with Historical Trajectory Embedding for Multi-Object Tracking. ICPRAI (1) 2024: 92-107
[c338]Byoung-Sung Lim
, Seong-Whan Lee
:
TIFu: Tri-Directional Implicit Function for High-Fidelity 3D Character Reconstruction. ICPRAI (2) 2024: 151-165
[c337]Yehna Kim, Ho-Joong Kim
, Seong-Whan Lee
:
Description Attribute-Enhanced Spatio-Temporal Zero-Shot Action Recognition. ICPRAI (2) 2024: 296-309
[c336]Woo-Seok Jo
, Yeong-Joon Ju
, Seong-Whan Lee
:
Enhancing Robustness of Over-Parameterized Models via Feature Reweighting Using Logit-Wise Mixup. ICPRAI (1) 2024: 322-336
[c335]Geun-Deok Jang
, Dong-Kyun Han
, Seong-Whan Lee
:
Test-Time Adaptation for EEG-Based Driver Drowsiness Classification. ICPRAI (1) 2024: 410-424
[c334]Pavel Tsoi, Young-Seok Kweon, Seong-Whan Lee:
Clustering-based Augmentation for Effective Self-supervised Learning in Sleep Staging. IJCNN 2024: 1-8
[c333]Deok-Hyeon Cho, Hyung-Seok Oh, Seung-Bin Kim, Sang-Hoon Lee, Seong-Whan Lee:
EmoSphere-TTS: Emotional Style and Intensity Modeling via Spherical Emotion Vector for Controllable Emotional Text-to-Speech. INTERSPEECH 2024
[c332]Jun-Hui Kim, Seong-Whan Lee:
Toward Approaches to Scalability in 3D Human Pose Estimation. NeurIPS 2024
[c331]Yearang Lee, Ho-Joong Kim, Seong-Whan Lee:
Text-Infused Attention and Foreground-Aware Modeling for Zero-Shot Temporal Action Detection. NeurIPS 2024
[c330]Daniel Shrewsbury, Suneung Kim, Young-Eun Kim, Heejo Kong, Seong-Whan Lee:
Instance-Ambiguity Weighting for Multi-label Recognition with Limited Annotations. PAKDD (1) 2024: 156-167
[c329]Jong-Hyun An, Jung-Ho Hong, Hee-Dong Kim, Seong-Whan Lee:
RoPAR: Enhancing Adversarial Robustness with Progressive Image Aggregation and Reordering Noise. SMC 2024: 1137-1142
[c328]Ji-Eun Lee, Seung-Bin Kim, Deok-Hyeon Cho, Seong-Whan Lee:
PromotiCon: Prompt-based Emotion Controllable Text-to-Speech via Prompt Generation and Matching. SMC 2024: 1151-1156
[c327]Seung Wook Jung, Jung-Ho Hong, Hee-Dong Kim, Seong-Whan Lee:
CHBaR: Conditional Hilbert Schmidt Bottleneck as Regularization for Adversarial Robustness. SMC 2024: 1157-1162
[c326]Jung-Woo Shim, Yeong-Joon Ju, Ji-Hoon Park, Seong-Whan Lee:
CPR: Mitigating Large Language Model Hallucinations with Curative Prompt Refinement. SMC 2024: 1604-1609
[c325]Si-Hyun Kim, Sung-Jin Kim, Dae-Hyeok Lee, Heon-Gyu Kwak, Seong-Whan Lee:
Adaptive Integrating General and Personalized Features for Enhanced Decoding of Motor Imagery EEG Signals via HyperNet-Based Module. SMC 2024: 2004-2009
[d2]Minho Lee, Adai Shomanov
, Adnan Yazici
, Zhuldyz Kabidenova
, Balgyn Begim
, Aruna Nyssanbay
, Seong-Whan Lee
:
EAV: EEG-Audio-Video Dataset for Emotion Recognition in Conversational Contexts. Version 3. Zenodo, 2024 [all versions]
[i107]Hyoung-Seok Oh, Sang-Hoon Lee
, Deok-Hyun Cho, Seong-Whan Lee:
DurFlex-EVC: Duration-Flexible Emotional Voice Conversion with Parallel Generation. CoRR abs/2401.08095 (2024)
[i106]Seung-Bin Kim, Sang-Hoon Lee
, Seong-Whan Lee:
TranSentence: Speech-to-speech Translation via Language-agnostic Sentence-level Speech Encoding without Language-parallel Data. CoRR abs/2401.12992 (2024)
[i105]Suneung Kim, Woo-Jeoung Nam, Seong-Whan Lee:
Appearance Debiased Gaze Estimation via Stochastic Subject-Wise Adversarial Learning. CoRR abs/2401.13865 (2024)
[i104]Hayoung Jo, Seong-Whan Lee:
Edge Conditional Node Update Graph Neural Network for Multi-variate Time Series Anomaly Detection. CoRR abs/2401.13872 (2024)
[i103]Vitaliy Kim, Gunho Jung, Seong-Whan Lee:
AM-SORT: Adaptable Motion Predictor with Historical Trajectory Embedding for Multi-Object Tracking. CoRR abs/2401.13950 (2024)
[i102]Byoung-Sung Lim, Seong-Whan Lee:
TIFu: Tri-directional Implicit Function for High-Fidelity 3D Character Reconstruction. CoRR abs/2401.14565 (2024)
[i101]Ji-Hoon Park, Yeong-Joon Ju, Seong-Whan Lee:
Explaining generative diffusion models via visual analysis for interpretable decision-making process. CoRR abs/2402.10404 (2024)
[i100]Ho-Joong Kim, Jung-Ho Hong, Heejo Kong, Seong-Whan Lee:
TE-TAD: Towards Full End-to-End Temporal Action Detection via Time-Aligned Coordinate Expression. CoRR abs/2404.02405 (2024)
[i99]Deok-Hyeon Cho, Hyung-Seok Oh, Seung-Bin Kim, Sang-Hoon Lee
, Seong-Whan Lee:
EmoSphere-TTS: Emotional Style and Intensity Modeling via Spherical Emotion Vector for Controllable Emotional Text-to-Speech. CoRR abs/2406.07803 (2024)
[i98]Sang-Hoon Lee
, Ha-Yeong Choi, Seong-Whan Lee:
PeriodWave: Multi-Period Flow Matching for High-Fidelity Waveform Generation. CoRR abs/2408.07547 (2024)
[i97]Sang-Hoon Lee
, Ha-Yeong Choi, Seong-Whan Lee:
Accelerating High-Fidelity Waveform Generation via Adversarial Flow Matching Optimization. CoRR abs/2408.08019 (2024)
[i96]Kang Yin, Hye-Bin Shin, Dan Li, Seong-Whan Lee:
EEG-based Multimodal Representation Learning for Emotion Recognition. CoRR abs/2411.00822 (2024)
[i95]Deok-Hyeon Cho, Hyung-Seok Oh, Seung-Bin Kim, Seong-Whan Lee:
EmoSphere++: Emotion-Controllable Zero-Shot Text-to-Speech via Emotion-Adaptive Spherical Vector. CoRR abs/2411.02625 (2024)
[i94]Yeong-Joon Ju
, Ho-Joong Kim, Seong-Whan Lee:
Enhancing Multimodal Query Representation via Visual Dialogues for End-to-End Knowledge Retrieval. CoRR abs/2411.08334 (2024)
[i93]Ji-Ha Park, Seo-Hyun Lee, Soowon Kim, Seong-Whan Lee:
Dynamic Neural Communication: Convergence of Computer Vision and Brain-Computer Interface. CoRR abs/2411.09211 (2024)
[i92]Heon-Gyu Kwak, Gi-Hwan Shin, Yeon-Woo Choi, Dong-Hoon Lee, Yoo-In Jeon, Jun-Su Kang, Seong-Whan Lee:
Towards Personalized Brain-Computer Interface Application Based on Endogenous EEG Paradigms. CoRR abs/2411.11302 (2024)- 2023
[j174]Sunil Kumar Prabhakar, Seong-Whan Lee:
Holistic Approaches to Music Genre Classification using Efficient Transfer and Deep Learning Techniques. Expert Syst. Appl. 211: 118636 (2023)
[j173]Young-Eun Kim
, Woo-Jeoung Nam
, Kyungseo Min
, Seong-Whan Lee
:
Style selective normalization with meta learning for test-time adaptive face anti-spoofing. Expert Syst. Appl. 214: 119106 (2023)
[j172]Seung-Hyup Na
, Woo-Jeoung Nam
, Seong-Whan Lee
:
Toward practical and plausible counterfactual explanation through latent adjustment in disentangled space. Expert Syst. Appl. 233: 120982 (2023)
[j171]Honggyu Jung, Woo-Jeoung Nam, Hyun-Woo Kim, Seong-Whan Lee:
Weakly supervised thoracic disease localization via disease masks. Neurocomputing 517: 34-43 (2023)
[j170]Wooyeol Hyun, Woo-Jeoung Nam, Seong-Whan Lee:
Dissimilate-and-assimilate strategy for video anomaly detection and localization. Neurocomputing 522: 203-213 (2023)
[j169]Ji-Hoon Jeong
, Jeong-Hyun Cho
, Byeong-Hoo Lee
, Seong-Whan Lee
:
Real-Time Deep Neurolinguistic Learning Enhances Noninvasive Neural Language Decoding for Brain-Machine Interaction. IEEE Trans. Cybern. 53(12): 7469-7482 (2023)
[j168]Dong-Ok Won
, Yong-Nam Jang
, Seong-Whan Lee
:
PlausMal-GAN: Plausible Malware Training Based on Generative Adversarial Networks for Analogous Zero-Day Malware Detection. IEEE Trans. Emerg. Top. Comput. 11(1): 82-94 (2023)
[j167]Ji-Seon Bang
, Dong-Ok Won
, Tae-Eui Kam
, Seong-Whan Lee
:
Motion Sickness Prediction Based on Dry EEG in Real Driving Environment. IEEE Trans. Intell. Transp. Syst. 24(5): 5442-5455 (2023)
[j166]Dae-Hyeok Lee
, Ji-Hoon Jeong
, Baek-Woon Yu, Tae-Eui Kam
, Seong-Whan Lee
:
Autonomous System for EEG-Based Multiple Abnormal Mental States Classification Using Hybrid Deep Neural Networks Under Flight Environment. IEEE Trans. Syst. Man Cybern. Syst. 53(10): 6426-6437 (2023)
[c324]Young-Eun Lee
, Seo-Hyun Lee, Sang-Ho Kim, Seong-Whan Lee:
Towards Voice Reconstruction from EEG during Imagined Speech. AAAI 2023: 6030-6038
[c323]Jung-Ho Hong, Woo-Jeoung Nam, Kyu-Sung Jeon, Seong-Whan Lee:
Towards Better Visualizing the Decision Basis of Networks via Unfold and Conquer Attribution Guidance. AAAI 2023: 7884-7892
[c322]Ji-Sang Hwang
, Sang-Hoon Lee
, Seong-Whan Lee:
PauseSpeech: Natural Speech Synthesis via Pre-trained Language Model and Pause-Based Prosody Modeling. ACPR (1) 2023: 415-427
[c321]Myoung-Ki Kim
, Jeong-Hyun Cho, Hye-Bin Shin, Seong-Whan Lee:
Towards Brain-based Interface for Communication and Control by Skin Touch. BCI 2023: 1-5
[c320]Young-Eun Lee, Sang-Ho Kim, Seo-Hyun Lee, Jung-Sun Lee, Soowon Kim, Seong-Whan Lee:
Speech Synthesis from Brain Signals Based on Generative Model. BCI 2023: 1-4
[c319]Seo-Hyun Lee, Young-Eun Lee, Soowon Kim, Byung-Kwan Ko, Seong-Whan Lee:
Towards Neural Decoding of Imagined Speech based on Spoken Speech. BCI 2023: 1-4
[c318]Ha-Na Jo, Young-Seok Kweon, Gi-Hwan Shin, Heon-Gyu Kwak, Seong-Whan Lee:
Neurophysiological Response Based on Auditory Sense for Brain Modulation Using Monaural Beat. EMBC 2023: 1-4
[c317]Tae-Jin Woo, Woo-Jeoung Nam, Yeong-Joon Ju
, Seong-Whan Lee:
Compensatory Debiasing For Gender Imbalances In Language Models. ICASSP 2023: 1-5
[c316]Yu-Won Lee, Myeong-Seok Oh, Ho-Joong Kim, Seong-Whan Lee:
Enhancing Discriminative Ability among Similar Classes with Guidance of Text-Image Correlation for Unsupervised Domain Adaptation. IJCNN 2023: 1-8
[c315]Geon-Jun Yang, Jun-Hee Kim, Hyun-Woo Kim, Gun-Hee Lee, Seong-Whan Lee:
EGPose: Explicit and Geometric Self-Supervision for 3D Human Pose Estimation. INNS DLIA@IJCNN 2023: 387-396
[c314]Soowon Kim, Young-Eun Lee
, Seo-Hyun Lee, Seong-Whan Lee:
Diff-E: Diffusion-based Learning for Decoding Imagined Speech EEG. INTERSPEECH 2023: 1159-1163
[c313]Ha-Yeong Choi, Sang-Hoon Lee
, Seong-Whan Lee:
Diff-HierVC: Diffusion-based Hierarchical Voice Conversion with Robust Pitch Generation and Masked Prior for Zero-shot Speaker Adaptation. INTERSPEECH 2023: 2283-2287
[c312]Sang-Hoon Lee
, Ha-Yeong Choi, Hyung-Seok Oh, Seong-Whan Lee:
HierVST: Hierarchical Adaptive Zero-shot Voice Style Transfer. INTERSPEECH 2023: 4439-4443
[c311]Tae-Hyung Kim, Woo-Jeoung Nam, Seong-Whan Lee:
Enhancing Robustness of Prototype with Attentive Information Guided Alignment in Few-Shot Classification. PAKDD (1) 2023: 183-194
[c310]Jin-Ha Lim, Myeong-Seok Oh, Seong-Whan Lee:
Enhancing the Discriminative Ability for Multi-Label Classification by Handling Data Imbalance. SMC 2023: 799-804
[c309]Ji-Won Lee, Seo-Hyun Lee, Young-Eun Lee, Soowon Kim, Seong-Whan Lee:
Sentence Reconstruction Leveraging Contextual Meaning from Speech-Related Brain Signals. SMC 2023: 3721-3726
[c308]Dae-Hyeok Lee, Sung-Jin Kim, Hyeon-Taek Han, Seong-Whan Lee:
TOINet: Transfer Learning from Overt Speech- to Imagined Speech-Based EEG Signals with Convolutional Autoencoder. SMC 2023: 4441-4446
[c307]Kyung-Min Jin, Byoung-Sung Lim, Gun-Hee Lee, Tae-Kyung Kang, Seong-Whan Lee:
Kinematic-aware Hierarchical Attention Network for Human Pose Estimation in Videos. WACV 2023: 5714-5723
[c306]Heejo Kong, Gun-Hee Lee, Suneung Kim, Seong-Whan Lee:
Pruning-Guided Curriculum Learning for Semi-Supervised Semantic Segmentation. WACV 2023: 5903-5912
[c305]Tae-Kyung Kang, Gun-Hee Lee, Kyung-Min Jin, Seong-Whan Lee:
Action-aware Masking Network with Group-based Attention for Temporal Action Localization. WACV 2023: 6047-6056
[d1]Minho Lee, Adai Shomanov
, Adnan Yazici
, Zhuldyz Kabidenova
, Balgyn Begim
, Aruna Nyssanbay
, Seong-Whan Lee
:
EAV: EEG-Audio-Video Dataset for Emotion Recognition in Conversational Contexts. Version 0.1.0. Zenodo, 2023 [all versions]
[i91]Young-Eun Lee, Seo-Hyun Lee, Sang-Ho Kim, Seong-Whan Lee:
Towards Voice Reconstruction from EEG during Imagined Speech. CoRR abs/2301.07173 (2023)
[i90]Ha-Yeong Choi, Sang-Hoon Lee, Seong-Whan Lee:
DDDM-VC: Decoupled Denoising Diffusion Models with Disentangled Representation and Prior Mixup for Verified Robust Voice Conversion. CoRR abs/2305.15816 (2023)
[i89]Ji-Sang Hwang, Sang-Hoon Lee, Seong-Whan Lee:
HiddenSinger: High-Quality Singing Voice Synthesis via Neural Audio Codec and Latent Diffusion Models. CoRR abs/2306.06814 (2023)
[i88]Ji-Sang Hwang, Sang-Hoon Lee, Seong-Whan Lee:
PauseSpeech: Natural Speech Synthesis via Pre-trained Language Model and Pause-based Prosody Modeling. CoRR abs/2306.07489 (2023)
[i87]Soowon Kim, Young-Eun Lee, Seo-Hyun Lee, Seong-Whan Lee:
Diff-E: Diffusion-based Learning for Decoding Imagined Speech EEG. CoRR abs/2307.14389 (2023)
[i86]Sang-Hoon Lee
, Ha-Yeong Choi, Hyung-Seok Oh, Seong-Whan Lee:
HierVST: Hierarchical Adaptive Zero-shot Voice Style Transfer. CoRR abs/2307.16171 (2023)
[i85]Hyung-Seok Oh, Sang-Hoon Lee
, Seong-Whan Lee:
DiffProsody: Diffusion-based Latent Prosody Generation for Expressive Speech Synthesis with Prosody Conditional Adversarial Training. CoRR abs/2307.16549 (2023)
[i84]Yun Kwan Kim, Minji Lee, Kunwook Jo, Hee Seok Song, Seong-Whan Lee:
Local-Global Temporal Fusion Network with an Attention Mechanism for Multiple and Multiclass Arrhythmia Classification. CoRR abs/2308.02416 (2023)
[i83]Ji-Hoon Jeong, In-Gyu Lee, Sung-Kyung Kim, Tae-Eui Kam, Seong-Whan Lee, Euijong Lee:
DeepHealthNet: Adolescent Obesity Prediction System Based on a Deep Learning Framework. CoRR abs/2308.14657 (2023)
[i82]Euijong Lee, Jaemin Jung, Gee-Myung Moon, Seong-Whan Lee, Ji-Hoon Jeong:
WUDI: A Human Involved Self-Adaptive Framework to Prevent Childhood Obesity in Internet of Things Environment. CoRR abs/2308.15944 (2023)
[i81]Yeong-Joon Ju
, Ji-Hoon Park, Seong-Whan Lee:
NeuroInspect: Interpretable Neuron-based Debugging Framework through Class-conditional Visualizations. CoRR abs/2310.07184 (2023)
[i80]Ha-Yeong Choi, Sang-Hoon Lee
, Seong-Whan Lee:
Diff-HierVC: Diffusion-based Hierarchical Voice Conversion with Robust Pitch Generation and Masked Prior for Zero-shot Speaker Adaptation. CoRR abs/2311.04693 (2023)
[i79]Byeong-Hoo Lee, Byoung-Hee Kwon, Seong-Whan Lee:
Sample Dominance Aware Framework via Non-Parametric Estimation for Spontaneous Brain-Computer Interface. CoRR abs/2311.07079 (2023)
[i78]Young-Seok Kweon, Gi-Hwan Shin, Heon-Gyu Kwak, Ha-Na Jo, Seong-Whan Lee:
Multi-Signal Reconstruction Using Masked Autoencoder From EEG During Polysomnography. CoRR abs/2311.07868 (2023)
[i77]Soowon Kim, Seo-Hyun Lee, Young-Eun Lee, Ji-Won Lee, Ji-Ha Park, Seong-Whan Lee:
Brain-Driven Representation Learning Based on Diffusion Model. CoRR abs/2311.07925 (2023)
[i76]Ha-Na Jo, Young-Seok Kweon, Gi-Hwan Shin, Heon-Gyu Kwak, Seong-Whan Lee:
Relationship Between Mood, Sleepiness, and EEG Functional Connectivity by 40 Hz Monaural Beats. CoRR abs/2311.07962 (2023)
[i75]Heon-Gyu Kwak, Sung-Jin Kim, Hyeon-Taek Han, Ji-Hoon Jeong, Seong-Whan Lee:
Influence of Video Dynamics on EEG-based Single-Trial Video Target Surveillance Syste. CoRR abs/2311.08631 (2023)
[i74]Gi-Hwan Shin, Young-Seok Kweon, Heon-Gyu Kwak, Ha-Na Jo, Seong-Whan Lee:
Impact of Nap on Performance in Different Working Memory Tasks Using EEG. CoRR abs/2311.08703 (2023)
[i73]Ha-Na Jo, Young-Seok Kweon, Gi-Hwan Shin, Heon-Gyu Kwak, Seong-Whan Lee:
Neurophysiological Response Based on Auditory Sense for Brain Modulation Using Monaural Beat. CoRR abs/2311.08735 (2023)
[i72]Sang-Hoon Lee
, Ha-Yeong Choi, Seung-Bin Kim, Seong-Whan Lee:
HierSpeech++: Bridging the Gap between Semantic and Acoustic Representation of Speech by Hierarchical Variational Inference for Zero-shot Speech Synthesis. CoRR abs/2311.12454 (2023)
[i71]Young-Eun Lee, Seo-Hyun Lee, Soowon Kim, Jung-Sun Lee, Deok-Seon Kim, Seong-Whan Lee:
Enhanced Generative Adversarial Networks for Unseen Word Generation from EEG Signals. CoRR abs/2311.17923 (2023)
[i70]Seo-Hyun Lee, Young-Eun Lee, Soowon Kim, Byung-Kwan Ko, Jun-Young Kim, Seong-Whan Lee:
Neural Speech Embeddings for Speech Synthesis Based on Deep Generative Networks. CoRR abs/2312.05814 (2023)
[i69]Hye-Bin Shin, Kang Yin, Seong-Whan Lee:
Sparse Multitask Learning for Efficient Neural Representation of Motor Imagery and Execution. CoRR abs/2312.05828 (2023)
[i68]Dae-Hyeok Lee, Sung-Jin Kim, Si-Hyun Kim, Seong-Whan Lee:
Decoding EEG-based Workload Levels Using Spatio-temporal Features Under Flight Environment. CoRR abs/2312.09423 (2023)
[i67]Sung-Jin Kim, Heon-Gyu Kwak, Hyeon-Taek Han, Dae-Hyeok Lee, Ji-Hoon Jeong, Seong-Whan Lee:
A Distributed Inference System for Detecting Task-wise Single Trial Event-Related Potential in Stream of Satellite Images. CoRR abs/2312.09446 (2023)
[i66]Kang Yin, Hye-Bin Shin, Hee-Dong Kim, Seong-Whan Lee:
Pioneering EEG Motor Imagery Classification Through Counterfactual Analysis. CoRR abs/2312.09456 (2023)
[i65]Dong-Young Kim, Dong-Kyun Han, Seo-Hyeon Park, Geun-Deok Jang, Seong-Whan Lee:
Improving Generalization of Drowsiness State Classification by Domain-Specific Normalization. CoRR abs/2312.09461 (2023)
[i64]Jung-Ho Hong, Woo-Jeoung Nam, Kyu-Sung Jeon, Seong-Whan Lee:
Towards Better Visualizing the Decision Basis of Networks via Unfold and Conquer Attribution Guidance. CoRR abs/2312.14201 (2023)- 2022
[j165]Sung-Jin Kim, Dae-Hyeok Lee
, Seong-Whan Lee
:
Rethinking CNN Architecture for Enhancing Decoding Performance of Motor Imagery-Based EEG Signals. IEEE Access 10: 96984-96996 (2022)
[j164]Sunil Kumar Prabhakar
, Seong-Whan Lee:
ENIC: Ensemble and Nature Inclined Classification with Sparse Depiction based Deep and Transfer Learning for Biosignal Classification. Appl. Soft Comput. 117: 108416 (2022)
[j163]Sunil Kumar Prabhakar, Seong-Whan Lee:
Improved Sparse Representation based Robust Hybrid Feature Extraction Models with Transfer and Deep Learning for EEG Classification. Expert Syst. Appl. 198: 116783 (2022)
[j162]Kyungseo Min
, Gun-Hee Lee, Seong-Whan Lee
:
Attentional feature pyramid network for small object detection. Neural Networks 155: 439-450 (2022)
[j161]Dong-Gyu Lee
, Seong-Whan Lee
:
Human interaction recognition framework based on interacting body part attention. Pattern Recognit. 128: 108645 (2022)
[j160]Honggyu Jung, Sin-Han Kang, Hee-Dong Kim
, Dong-Ok Won, Seong-Whan Lee
:
Counterfactual explanation based on gradual construction for deep networks. Pattern Recognit. 132: 108958 (2022)
[j159]Sang-Hoon Lee
, Hyeong-Rae Noh
, Woo-Jeoung Nam
, Seong-Whan Lee
:
Duration Controllable Voice Conversion via Phoneme-Based Information Bottleneck. IEEE ACM Trans. Audio Speech Lang. Process. 30: 1173-1183 (2022)
[j158]Yanfang Xue
, Yining Zhang, Limei Zhang, Seong-Whan Lee
, Lishan Qiao, Dinggang Shen
:
Learning Brain Functional Networks With Latent Temporal Dependency for MCI Identification. IEEE Trans. Biomed. Eng. 69(2): 590-601 (2022)
[j157]Feng Zhao
, Xiangfei Zhang
, Kim-Han Thung
, Ning Mao, Seong-Whan Lee
, Dinggang Shen
:
Constructing Multi-View High-Order Functional Connectivity Networks for Diagnosis of Autism Spectrum Disorder. IEEE Trans. Biomed. Eng. 69(3): 1237-1250 (2022)
[j156]Minji Lee
, Yun-Hee Kim
, Seong-Whan Lee
:
Motor Impairment in Stroke Patients Is Associated With Network Properties During Consecutive Motor Imagery. IEEE Trans. Biomed. Eng. 69(8): 2604-2615 (2022)
[j155]Jeong-Hyun Cho
, Ji-Hoon Jeong
, Seong-Whan Lee
:
NeuroGrasp: Real-Time EEG Classification of High-Level Motor Imagery Tasks Using a Dual-Stage Deep Learning Framework. IEEE Trans. Cybern. 52(12): 13279-13292 (2022)
[j154]Yun Kwan Kim
, Minji Lee
, Hee Seok Song
, Seong-Whan Lee
:
Automatic Cardiac Arrhythmia Classification Using Residual Network Combined With Long Short-Term Memory. IEEE Trans. Instrum. Meas. 71: 1-17 (2022)
[j153]Sun-Hee Kim
, Hyung-Jeong Yang
, Thi Anh Ngoc Nguyen
, Sunil Kumar Prabhakar
, Seong-Whan Lee
:
WeDea: A New EEG-Based Framework for Emotion Recognition. IEEE J. Biomed. Health Informatics 26(1): 264-275 (2022)
[j152]Ji-Seon Bang
, Min-Ho Lee
, Siamac Fazli
, Cuntai Guan
, Seong-Whan Lee
:
Spatio-Spectral Feature Representation for Motor Imagery Classification Using Convolutional Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 33(7): 3038-3049 (2022)
[c304]Hyun-Woo Kim, Gun-Hee Lee, Myeong-Seok Oh, Seong-Whan Lee:
Cross-View Self-fusion for Self-supervised 3D Human Pose Estimation in the Wild. ACCV (1) 2022: 193-210
[c303]Ji-Hoon Han, Woo-Jeoung Nam, Seong-Whan Lee:
SAR Image Denoising in High Dynamic Range with Speckle and Thermal Noise Refinement Modeling. AVSS 2022: 1-8
[c302]Seong-Yun Jeong, Ho-Joong Kim, Myeong-Seok Oh, Gun-Hee Lee, Seong-Whan Lee:
Temporal-Invariant Video Representation Learning with Dynamic Temporal Resolutions. AVSS 2022: 1-8
[c301]Ji-Seon Bang, Seong-Whan Lee:
Interpretable Convolutional Neural Networks for Subject-Independent Motor Imagery Classification. BCI 2022: 1-5
[c300]Jeong-Hyun Cho, Byoung-Hee Kwon, Byeong-Hoo Lee, Seong-Whan Lee:
Decoding Continual Muscle Movements Related to Complex Hand Grasping from EEG Signals. BCI 2022: 1-5
[c299]Seo-Hyun Lee, Young Eun Lee
, Seong-Whan Lee:
Toward Imagined Speech based Smart Communication System: Potential Applications on Metaverse Conditions. BCI 2022: 1-4
[c298]Seong-Whan Lee, Klaus-Robert Müller:
Welcome Message from the General Chairs. BCI 2022: 1-
[c297]Serkan Musellim, Dong-Kyun Han, Ji-Hoon Jeong, Seong-Whan Lee:
Prototype-based Domain Generalization Framework for Subject-Independent Brain-Computer Interfaces. EMBC 2022: 711-714
[c296]Keon-Woo Lee, Dae-Hyeok Lee, Sung-Jin Kim, Seong-Whan Lee:
Decoding Neural Correlation of Language-Specific Imagined Speech using EEG Signals. EMBC 2022: 1977-1980
[c295]Sang-Hoon Lee
, Ji-Hoon Kim, Kangeun Lee, Seong-Whan Lee:
FRE-GAN 2: Fast and Efficient Frequency-Consistent Audio Synthesis. ICASSP 2022: 6192-6196
[c294]Ji-Hyun Lee, Sang-Hoon Lee
, Ji-Hoon Kim, Seong-Whan Lee:
PVAE-TTS: Adaptive Text-to-Speech via Progressive Style Adaptation. ICASSP 2022: 6312-6316
[c293]Chae-Bin Im, Sang-Hoon Lee
, Seung-Bin Kim, Seong-Whan Lee:
EMOQ-TTS: Emotion Intensity Quantization for Fine-Grained Controllable Emotional Text-to-Speech. ICASSP 2022: 6317-6321
[c292]In-Sun Hwang, Sang-Hoon Lee
, Seong-Whan Lee:
StyleVC: Non-Parallel Voice Conversion with Adversarial Style Generalization. ICPR 2022: 23-30
[c291]Joo-Yeon Lee, Woo-Jeoung Nam, Seong-Whan Lee:
Multi-Contextual Predictions with Vision Transformer for Video Anomaly Detection. ICPR 2022: 1012-1018
[c290]Byeong-Hoo Lee, Jeong-Hyun Cho, Byoung-Hee Kwon, Seong-Whan Lee:
Factorization Approach for Sparse Spatio-Temporal Brain-Computer Interface. ICPR 2022: 1090-1097
[c289]Harim Jung, Myeong-Seok Oh, Cheoljong Yang, Seong-Whan Lee:
Neural Architecture Adaptation for Object Detection by Searching Channel Dimensions and Mapping Pre-trained Parameters. ICPR 2022: 2393-2400
[c288]Dongoh Kang, Myung-Cheol Roh, Hansaem Kim, Yonghyun Kim, Seong-Whan Lee:
Classification-based Multi-task Learning for Efficient Pose Estimation Network. ICPR 2022: 3295-3302
[c287]Sueyeon Kim, Woo-Jeoung Nam, Seong-Whan Lee:
Few-Shot Object Detection with Proposal Balance Refinement. ICPR 2022: 4700-4707
[c286]Kevin Meng, Seo-Hyun Lee, Farhad Goodarzy, Simon J. Vogrin
, Mark J. Cook, Seong-Whan Lee, David B. Grayden:
Evidence of Onset and Sustained Neural Responses to Isolated Phonemes from Intracranial Recordings in a Voice-based Cursor Control Task. INTERSPEECH 2022: 4063-4067
[c285]Paul Bertens, Seong-Whan Lee:
Emergence of Hierarchical Layers in a Single Sheet of Self-Organizing Spiking Neurons. NeurIPS 2022
[c284]Sang-Hoon Lee, Seung-Bin Kim, Ji-Hyun Lee, Eunwoo Song, Min-Jae Hwang, Seong-Whan Lee:
HierSpeech: Bridging the Gap between Text and Speech by Hierarchical Variational Inference using Self-supervised Representations for Speech Synthesis. NeurIPS 2022
[c283]Tae-Kyung Kang, Gun-Hee Lee, Seong-Whan Lee:
HTNet: Anchor-free Temporal Action Localization with Hierarchical Transformers. SMC 2022: 365-370
[c282]Ji-Un Hwang, Ji-Seon Bang, Seong-Whan Lee:
Classification of Motion Sickness Levels using Multimodal Biosignals in Real Driving Conditions. SMC 2022: 1304-1309
[c281]So-Hyun Han, Dong-Kyun Han, Seong-Whan Lee:
Ordinal Distance-based Domain Adaptation Framework for Motion Sickness Classification. SMC 2022: 2275-2280
[c280]Sung-Jin Kim, Dae-Hyeok Lee, Seong-Whan Lee:
An EEGgram-based Neural Network Enhancing the Decoding Performance of Visual Imagery EEG Signals to Control the Drone Swarm. SMC 2022: 2281-2286
[c279]Dong-Young Kim, Dong-Kyun Han, Ji-Hoon Jeong, Seong-Whan Lee:
EEG-based Driver Drowsiness Classification via Calibration-Free Framework with Domain Generalization. SMC 2022: 2293-2298
[c278]Kyung-Min Jin, Gun-Hee Lee, Seong-Whan Lee:
OTPose: Occlusion-Aware Transformer for Pose Estimation in Sparsely-Labeled Videos. SMC 2022: 3255-3260
[c277]Wooyeol Hyun, Woo-Jeoung Nam, Jooyeon Lee, Seong-Whan Lee:
Learning Temporal Context of Normality for Unsupervised Anomaly Detection in Videos. SMC 2022: 3261-3266
[c276]Yeong-Joon Ju
, Gun-Hee Lee, Jung-Ho Hong, Seong-Whan Lee:
Complete Face Recovery GAN: Unsupervised Joint Face Rotation and De-Occlusion from a Single-View Image. WACV 2022: 1173-1183
[i63]Serkan Musellim, Dong-Kyun Han, Ji-Hoon Jeong, Seong-Whan Lee:
Prototype-based Domain Generalization Framework for Subject-Independent Brain-Computer Interfaces. CoRR abs/2204.07358 (2022)
[i62]Keon-Woo Lee, Dae-Hyeok Lee, Sung-Jin Kim, Seong-Whan Lee:
Decoding Neural Correlation of Language-Specific Imagined Speech using EEG Signals. CoRR abs/2204.07362 (2022)
[i61]Sueyeon Kim, Woo-Jeoung Nam, Seong-Whan Lee:
Few-Shot Object Detection with Proposal Balance Refinement. CoRR abs/2204.10527 (2022)
[i60]Woo-Jeoung Nam, Seong-Whan Lee:
Gradient Hedging for Intensively Exploring Salient Interpretation beyond Neuron Activation. CoRR abs/2205.11109 (2022)
[i59]Byeong-Hoo Lee, Jeong-Hyun Cho, Byoung-Hee Kwon, Seong-Whan Lee:
Factorization Approach for Sparse Spatio-Temporal Brain-Computer Interface. CoRR abs/2206.08494 (2022)
[i58]Harim Jung, Myeong-Seok Oh, Cheoljong Yang, Seong-Whan Lee:
Neural Architecture Adaptation for Object Detection by Searching Channel Dimensions and Mapping Pre-trained Parameters. CoRR abs/2206.08509 (2022)
[i57]Joo-Yeon Lee, Woo-Jeoung Nam, Seong-Whan Lee:
Multi-Contextual Predictions with Vision Transformer for Video Anomaly Detection. CoRR abs/2206.08568 (2022)
[i56]Tae-Kyung Kang, Gun-Hee Lee, Seong-Whan Lee:
HTNet: Anchor-free Temporal Action Localization with Hierarchical Transformers. CoRR abs/2207.09662 (2022)
[i55]Kyung-Min Jin, Gun-Hee Lee, Seong-Whan Lee:
OTPose: Occlusion-Aware Transformer for Pose Estimation in Sparsely-Labeled Videos. CoRR abs/2207.09725 (2022)
[i54]Geonuk Kim, Honggyu Jung, Seong-Whan Lee:
Spatial Reasoning for Few-Shot Object Detection. CoRR abs/2211.01080 (2022)
[i53]Kyung-Min Jin, Byoung-Sung Lim, Gun-Hee Lee, Tae-Kyung Kang, Seong-Whan Lee:
Kinematic-aware Hierarchical Attention Network for Human Pose Estimation in Videos. CoRR abs/2211.15868 (2022)
[i52]Seo-Hyun Lee, Young-Eun Lee, Soowon Kim, Byung-Kwan Ko, Seong-Whan Lee:
Effect of Spoken Speech in Decoding Imagined Speech from Non-Invasive Human Brain Signals. CoRR abs/2212.02047 (2022)- 2021
[j151]Kaishuo Zhang
, Neethu Robinson
, Seong-Whan Lee
, Cuntai Guan
:
Adaptive transfer learning for EEG motor imagery classification with deep Convolutional Neural Network. Neural Networks 136: 1-10 (2021)
[j150]Jin-Woo Seo, Honggyu Jung
, Seong-Whan Lee
:
Self-augmentation: Generalizing deep networks to unseen classes for few-shot learning. Neural Networks 138: 140-149 (2021)
[j149]Jung-Jun Kim, Dong-Gyu Lee
, Jialin Wu, Honggyu Jung
, Seong-Whan Lee
:
Visual question answering based on local-scene-aware referring expression generation. Neural Networks 139: 158-167 (2021)
[j148]Geonuk Kim, Honggyu Jung, Seong-Whan Lee:
Spatial reasoning for few-shot object detection. Pattern Recognit. 120: 108118 (2021)
[j147]Kiduk Kim
, Ji-Hoon Jeong
, Jeong-Hyun Cho
, Sunghyun Kim
, Jeonggoo Kang
, Jeha Ryu
, Seong-Whan Lee
:
Development of a Human-Display Interface with Vibrotactile Feedback for Real-World Assistive Applications. Sensors 21(2): 592 (2021)
[j146]Jie Xue
, Kelei He
, Dong Nie
, Ehsan Adeli
, Zhenshan Shi, Seong-Whan Lee
, Yuanjie Zheng
, Xiyu Liu
, Dengwang Li
, Dinggang Shen
:
Cascaded MultiTask 3-D Fully Convolutional Networks for Pancreas Segmentation. IEEE Trans. Cybern. 51(4): 2153-2165 (2021)
[j145]Sun-Hee Kim
, Thi Anh Ngoc Nguyen
, Hyung-Jeong Yang
, Seong-Whan Lee
:
eRAD-Fe: Emotion Recognition-Assisted Deep Learning Framework. IEEE Trans. Instrum. Meas. 70: 1-12 (2021)
[j144]Sun-Hee Kim
, Hyung-Jeong Yang
, Thi Anh Ngoc Nguyen
, Seong-Whan Lee
:
AsEmo: Automatic Approach for EEG-Based Multiple Emotional State Identification. IEEE J. Biomed. Health Informatics 25(5): 1508-1518 (2021)
[c275]Woo-Jeoung Nam, Jaesik Choi, Seong-Whan Lee:
Interpreting Deep Neural Networks with Relative Sectional Propagation by Analyzing Comparative Gradients and Hostile Activations. AAAI 2021: 11604-11612
[c274]Sang-Hoon Lee
, Hyun-Wook Yoon, Hyeong-Rae Noh, Ji-Hoon Kim, Seong-Whan Lee:
Multi-SpectroGAN: High-Diversity and High-Fidelity Spectrogram Generation with Adversarial Style Combination for Speech Synthesis. AAAI 2021: 13198-13206
[c273]Ji-Seon Bang, Seong-Whan Lee:
Motor Imagery Classification Based on CNN-GRU Network with Spatio-Temporal Feature Representation. ACPR (1) 2021: 104-115
[c272]Gun-Hee Lee, Han-Bin Ko, Seong-Whan Lee:
Joint Dermatological Lesion Classification and Confidence Modeling with Uncertainty Estimation. ACPR (2) 2021: 234-246
[c271]Young-Eun Kim, Seong-Whan Lee:
Domain Generalization with Pseudo-Domain Label for Face Anti-spoofing. ACPR (1) 2021: 431-442
[c270]Jeong-Hyun Cho, Ji-Hoon Jeong, Myoung-Ki Kim
, Seong-Whan Lee:
Towards Neurohaptics: Brain-Computer Interfaces for Decoding Intuitive Sense of Touch. BCI 2021: 1-5
[c269]Dae-Hyeok Lee, Ji-Hoon Jeong, Hyung-Ju Ahn, Seong-Whan Lee:
Design of an EEG-based Drone Swarm Control System using Endogenous BCI Paradigms. BCI 2021: 1-5
[c268]Young Eun Lee, Seong-Whan Lee:
Decoding Event-related Potential from Ear-EEG Signals based on Ensemble Convolutional Neural Networks in Ambulatory Environment. BCI 2021: 1-5
[c267]Seo-Hyun Lee, Minji Lee, Seong-Whan Lee:
Functional Connectivity of Imagined Speech and Visual Imagery based on Spectral Dynamics. BCI 2021: 1-6
[c266]Gun-Hee Lee, Seong-Whan Lee:
Uncertainty-Aware Human Mesh Recovery from Video by Learning Part-Based 3D Dynamics. ICCV 2021: 12355-12364
[c265]Ji-Hoon Kim, Sang-Hoon Lee
, Ji-Hyun Lee, Seong-Whan Lee:
Fre-GAN: Adversarial Frequency-Consistent Audio Synthesis. Interspeech 2021: 2197-2201
[c264]Hyunseung Chung, Sang-Hoon Lee
, Seong-Whan Lee:
Reinforce-Aligner: Reinforcement Alignment Search for Robust End-to-End Text-to-Speech. Interspeech 2021: 3635-3639
[c263]Sang-Hoon Lee, Ji-Hoon Kim, Hyunseung Chung, Seong-Whan Lee:
VoiceMixer: Adversarial Voice Style Mixup. NeurIPS 2021: 294-308
[c262]Ji-Hoon Kim, Sang-Hoon Lee
, Ji-Hyun Lee, Honggyu Jung, Seong-Whan Lee:
GC-TTS: Few-shot Speaker Adaptation with Geometric Constraints. SMC 2021: 1172-1177
[c261]Kyungseo Min, Gun-Hee Lee, Seong-Whan Lee:
ACNet: Mask-Aware Attention with Dynamic Context Enhancement for Robust Acne Detection. SMC 2021: 2724-2729
[c260]Harim Jung, Myeong-Seok Oh, Seong-Whan Lee:
Learning Free-Form Deformation for 3D Face Reconstruction from In-The-Wild Images. SMC 2021: 2737-2742
[c259]Dae-Hyeok Lee, Dong-Kyun Han, Sung-Jin Kim, Ji-Hoon Jeong, Seong-Whan Lee:
Subject-Independent Brain-Computer Interface for Decoding High-Level Visual Imagery Tasks. SMC 2021: 3396-3401
[i51]Dong-Gyu Lee
, Seong-Whan Lee:
Human Interaction Recognition Framework based on Interacting Body Part Attention. CoRR abs/2101.08967 (2021)
[i50]Jung-Jun Kim, Dong-Gyu Lee
, Jialin Wu, Honggyu Jung, Seong-Whan Lee:
Visual Question Answering based on Local-Scene-Aware Referring Expression Generation. CoRR abs/2101.08978 (2021)
[i49]Hyun-Woo Kim, Honggyu Jung, Seong-Whan Lee:
Weakly Supervised Thoracic Disease Localization via Disease Masks. CoRR abs/2101.09915 (2021)
[i48]Young Eun Lee, Seong-Whan Lee:
Decoding Event-related Potential from Ear-EEG Signals based on Ensemble Convolutional Neural Networks in Ambulatory Environment. CoRR abs/2103.02197 (2021)
[i47]Ravikiran Mane, Effie Chew, Karen Sui Geok Chua, Kai Keng Ang, Neethu Robinson, A. Prasad Vinod, Seong-Whan Lee, Cuntai Guan:
FBCNet: A Multi-view Convolutional Neural Network for Brain-Computer Interface. CoRR abs/2104.01233 (2021)
[i46]Seo-Hyun Lee, Young Eun Lee, Seong-Whan Lee:
Voice of Your Brain: Cognitive Representations of Imagined Speech, Overt Speech, and Speech Perception Based on EEG. CoRR abs/2105.14787 (2021)
[i45]Harim Jung, Myeong-Seok Oh, Seong-Whan Lee:
Learning Free-Form Deformation for 3D Face Reconstruction from In-The-Wild Images. CoRR abs/2105.14857 (2021)
[i44]Kyungseo Min, Gun-Hee Lee, Seong-Whan Lee:
ACNet: Mask-Aware Attention with Dynamic Context Enhancement for Robust Acne Detection. CoRR abs/2105.14891 (2021)
[i43]Ji-Hoon Kim, Sang-Hoon Lee
, Ji-Hyun Lee, Seong-Whan Lee:
Fre-GAN: Adversarial Frequency-consistent Audio Synthesis. CoRR abs/2106.02297 (2021)
[i42]Dae-Hyeok Lee, Dong-Kyun Han, Sung-Jin Kim, Ji-Hoon Jeong, Seong-Whan Lee:
Subject-Independent Brain-Computer Interface for Decoding High-Level Visual Imagery Tasks. CoRR abs/2106.04026 (2021)
[i41]Suneung Kim, Seong-Whan Lee:
Detection of Abnormal Behavior with Self-Supervised Gaze Estimation. CoRR abs/2107.06530 (2021)
[i40]Young-Eun Kim, Seong-Whan Lee:
Domain Generalization with Pseudo-Domain Label for Face Anti-Spoofing. CoRR abs/2107.06552 (2021)
[i39]Ji-Seon Bang, Seong-Whan Lee:
Motor Imagery Classification based on CNN-GRU Network with Spatio-Temporal Feature Representation. CoRR abs/2107.07062 (2021)
[i38]Dae-Hyeok Lee, Sung-Jin Kim, Seong-Whan Lee:
DAL: Feature Learning from Overt Speech to Decode Imagined Speech-based EEG Signals with Convolutional Autoencoder. CoRR abs/2107.07064 (2021)
[i37]Hyung-Ju Ahn, Dae-Hyeok Lee, Ji-Hoon Jeong, Seong-Whan Lee:
Towards Natural Brain-Machine Interaction using Endogenous Potentials based on Deep Neural Networks. CoRR abs/2107.07335 (2021)
[i36]Woo-Jeoung Nam, Seong-Whan Lee:
Improving Interpretability of Deep Neural Networks in Medical Diagnosis by Investigating the Individual Units. CoRR abs/2107.08767 (2021)
[i35]Myeong-Seok Oh, Yong-Ju Lee, Seong-Whan Lee:
Precise Aerial Image Matching based on Deep Homography Estimation. CoRR abs/2107.08768 (2021)
[i34]Gun-Hee Lee, Han-Bin Ko, Seong-Whan Lee:
Joint Dermatological Lesion Classification and Confidence Modeling with Uncertainty Estimation. CoRR abs/2107.08770 (2021)
[i33]Hayoung Jo, Seong-Whan Lee:
One-Class Classification for Wafer Map using Adversarial Autoencoder with DSVDD Prior. CoRR abs/2107.08823 (2021)
[i32]Ji-Hoon Kim, Sang-Hoon Lee
, Ji-Hyun Lee, Honggyu Jung, Seong-Whan Lee:
GC-TTS: Few-shot Speaker Adaptation with Geometric Constraints. CoRR abs/2108.06890 (2021)
[i31]Young Eun Lee, Gi-Hwan Shin, Minji Lee, Seong-Whan Lee:
Mobile BCI dataset of scalp- and ear-EEGs with ERP and SSVEP paradigms while standing, walking, and running. CoRR abs/2112.04176 (2021)
[i30]Ji-Seon Bang, Seong-Whan Lee:
Interpretable Convolutional Neural Networks for Subject-Independent Motor Imagery Classification. CoRR abs/2112.07208 (2021)
[i29]Jeong-Hyun Cho, Byoung-Hee Kwon, Byeong-Hoo Lee, Seong-Whan Lee:
Decoding Continual Muscle Movements Related to Complex Hand Grasping from EEG Signals. CoRR abs/2112.07943 (2021)
[i28]Seo-Hyun Lee, Young Eun Lee, Seong-Whan Lee:
Toward Imagined Speech based Smart Communication System: Potential Applications on Metaverse Conditions. CoRR abs/2112.08569 (2021)- 2020
[j143]Sunil Kumar Prabhakar
, Harikumar Rajaguru
, Seong-Whan Lee
:
A Framework for Schizophrenia EEG Signal Classification With Nature Inspired Optimization Algorithms. IEEE Access 8: 39875-39897 (2020)
[j142]Ji-Hoon Jeong
, Byeong-Hoo Lee
, Dae-Hyeok Lee
, Yong-Deok Yun
, Seong-Whan Lee
:
EEG Classification of Forearm Movement Imagery Using a Hierarchical Flow Convolutional Neural Network. IEEE Access 8: 66941-66950 (2020)
[j141]Minji Lee
, Gi-Hwan Shin, Seong-Whan Lee
:
Frontal EEG Asymmetry of Emotion for the Same Auditory Stimulus. IEEE Access 8: 107200-107213 (2020)
[j140]Dae-Hyeok Lee
, Ji-Hoon Jeong
, Kiduk Kim, Baek-Woon Yu, Seong-Whan Lee
:
Continuous EEG Decoding of Pilots' Mental States Using Multiple Feature Block-Based Convolutional Neural Network. IEEE Access 8: 121929-121941 (2020)
[j139]Sunil Kumar Prabhakar
, Seong-Whan Lee
:
Transformation Based Tri-Level Feature Selection Approach Using Wavelets and Swarm Computing for Prostate Cancer Classification. IEEE Access 8: 127462-127476 (2020)
[j138]Sunil Kumar Prabhakar
, Seong-Whan Lee:
An Integrated Approach for Ovarian Cancer Classification With the Application of Stochastic Optimization. IEEE Access 8: 127866-127882 (2020)
[j137]Byeong-Hoo Lee
, Ji-Hoon Jeong
, Seong-Whan Lee
:
SessionNet: Feature Similarity-Based Weighted Ensemble Learning for Motor Imagery Classification. IEEE Access 8: 134524-134535 (2020)
[j136]Shengzhou Xu
, Ehsan Adeli
, Jie-Zhi Cheng, Lei Xiang, Yang Li, Seong-Whan Lee, Dinggang Shen:
Mammographic mass segmentation using multichannel and multiscale fully convolutional networks. Int. J. Imaging Syst. Technol. 30(4): 1095-1107 (2020)
[j135]Paul Bertens
, Seong-Whan Lee
:
Network of evolvable neural units can learn synaptic learning rules and spiking dynamics. Nat. Mach. Intell. 2(12): 791-799 (2020)
[j134]Ye-Ji Kim, Dong-Gyu Lee
, Seong-Whan Lee:
Three-stream fusion network for first-person interaction recognition. Pattern Recognit. 103: 107279 (2020)
[j133]Da-Hye Yoon, Nam-Gyu Cho
, Seong-Whan Lee:
A novel online action detection framework from untrimmed video streams. Pattern Recognit. 106: 107396 (2020)
[j132]Min-Sub Yun
, Woo-Jeoung Nam
, Seong-Whan Lee
:
Coarse-to-Fine Deep Metric Learning for Remote Sensing Image Retrieval. Remote. Sens. 12(2): 219 (2020)
[j131]Jae-Hyun Park
, Woo-Jeoung Nam
, Seong-Whan Lee
:
A Two-Stream Symmetric Network with Bidirectional Ensemble for Aerial Image Matching. Remote. Sens. 12(3): 465 (2020)
[j130]Dong-Ok Won
, Klaus-Robert Müller
, Seong-Whan Lee
:
An adaptive deep reinforcement learning framework enables curling robots with human-like performance in real-world conditions. Sci. Robotics 5(46): 9764 (2020)
[j129]No-Sang Kwak
, Seong-Whan Lee
:
Error Correction Regression Framework for Enhancing the Decoding Accuracies of Ear-EEG Brain-Computer Interfaces. IEEE Trans. Cybern. 50(8): 3654-3667 (2020)
[j128]Sun-Hee Kim
, Hyung-Jeong Yang
, Thi Anh Ngoc Nguyen
, Raja Majid Mehmood
, Seong-Whan Lee
:
Parameter Estimation Using Unscented Kalman Filter on the Gray-Box Model for Dynamic EEG System Modeling. IEEE Trans. Instrum. Meas. 69(9): 6175-6185 (2020)
[j127]Sung-Soo Kim
, In-Youb Gwak
, Seong-Whan Lee
:
Coarse-to-Fine Deep Learning of Continuous Pedestrian Orientation Based on Spatial Co-Occurrence Feature. IEEE Trans. Intell. Transp. Syst. 21(6): 2522-2533 (2020)
[j126]Yinghuan Shi
, Heung-Il Suk
, Yang Gao
, Seong-Whan Lee
, Dinggang Shen
:
Leveraging Coupled Interaction for Multimodal Alzheimer's Disease Diagnosis. IEEE Trans. Neural Networks Learn. Syst. 31(1): 186-200 (2020)
[j125]O-Yeon Kwon
, Min-Ho Lee
, Cuntai Guan
, Seong-Whan Lee
:
Subject-Independent Brain-Computer Interfaces Based on Deep Convolutional Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 31(10): 3839-3852 (2020)
[j124]Honggyu Jung
, Seong-Whan Lee
:
Few-Shot Learning With Geometric Constraints. IEEE Trans. Neural Networks Learn. Syst. 31(11): 4660-4672 (2020)
[c258]Woo-Jeoung Nam, Shir Gur, Jaesik Choi
, Lior Wolf, Seong-Whan Lee:
Relative Attributing Propagation: Interpreting the Comparative Contributions of Individual Units in Deep Neural Networks. AAAI 2020: 2501-2508
[c257]Jeong-Hyun Cho, Ji-Hoon Jeong, Dong-Joo Kim, Seong-Whan Lee:
A Novel Approach to Classify Natural Grasp Actions by Estimating Muscle Activity Patterns from EEG Signals. BCI 2020: 1-4
[c256]Ji-Hoon Jeong, Dae-Hyeok Lee, Hyung-Ju Ahn
, Seong-Whan Lee:
Towards Brain-Computer Interfaces for Drone Swarm Control. BCI 2020: 1-4
[c255]Sunil Kumar Prabhakar, Harikumar Rajaguru
, Seong-Whan Lee:
Eigen Vector Method with Swarm and Non Swarm Intelligence Techniques for Epileptic Seizure Classification. BCI 2020: 1-6
[c254]Gun-Hee Lee, Seong-Whan Lee:
Uncertainty-Aware Mesh Decoder for High Fidelity 3D Face Reconstruction. CVPR 2020: 6099-6108
[c253]Ravikiran Mane, Neethu Robinson, A. Prasad Vinod
, Seong-Whan Lee, Cuntai Guan
:
A Multi-view CNN with Novel Variance Layer for Motor Imagery Brain Computer Interface. EMBC 2020: 2950-2953
[c252]Gi-Hwan Shin, Minji Lee, Hyeong-Jin Kim, Seong-Whan Lee:
Prediction of Event Related Potential Speller Performance Using Resting-State EEG. EMBC 2020: 2973-2976
[c251]Jeong-Hyun Cho, Ji-Hoon Jeong, Seong-Whan Lee:
Decoding of Grasp Motions from EEG Signals Based on a Novel Data Augmentation Strategy. EMBC 2020: 3015-3018
[c250]Jenifer Kalafatovich
, Minji Lee, Seong-Whan Lee:
Prediction of Memory Retrieval Performance Using Ear-EEG Signals. EMBC 2020: 3363-3366
[c249]Hyeong-Jin Kim, Minji Lee, Seong-Whan Lee:
End-to-End Automatic Sleep Stage Classification Using Spectral-Temporal Sleep Features. EMBC 2020: 3452-3455
[c248]Do-Yeun Lee, Ji-Hoon Jeong, Kyung-Hwan Shim, Seong-Whan Lee:
Decoding Movement Imagination and Execution From Eeg Signals Using Bci-Transfer Learning Method Based on Relation Network. ICASSP 2020: 1354-1358
[c247]Byeong-Hoo Lee, Ji-Hoon Jeong, Kyung-Hwan Shim, Seong-Whan Lee:
Classification of High-Dimensional Motor Imagery Tasks Based on An End-To-End Role Assigned Convolutional Neural Network. ICASSP 2020: 1359-1363
[c246]Hyunseung Chung, Woo-Jeoung Nam, Seong-Whan Lee:
Rotation Invariant Aerial Image Retrieval with Group Convolutional Metric Learning. ICPR 2020: 6431-6438
[c245]Jenifer Kalafatovich
, Minji Lee
, Seong-Whan Lee
:
Prediction of Subsequent Memory Effects Using Convolutional Neural Network. ICPRAI 2020: 251-263
[c244]Hyun-Wook Yoon, Sang-Hoon Lee
, Hyeong-Rae Noh, Seong-Whan Lee:
Audio Dequantization for High Fidelity Audio Generation in Flow-Based Neural Vocoder. INTERSPEECH 2020: 3545-3549
[c243]Gi-Hwan Shin, Minji Lee, Seong-Whan Lee:
Assessment of Unconsciousness for Memory Consolidation Using EEG Signals. SMC 2020: 513-519
[c242]Seung-Bo Lee, Min-Kyung Jung, Hakseung Kim, Seong-Whan Lee, Dong-Joo Kim:
Complex Motor Imagery-based Brain-Computer Interface System: A Comparison Between Different Classifiers. SMC 2020: 2496-2501
[c241]Byoung-Hee Kwon, Ji-Hoon Jeong, Jeong-Hyun Cho, Seong-Whan Lee:
Decoding of Intuitive Visual Motion Imagery Using Convolutional Neural Network under 3D-BCI Training Environment. SMC 2020: 2966-2971
[c240]Dong-Yeon Lee, Minji Lee, Seong-Whan Lee:
Classification of Imagined Speech Using Siamese Neural Network. SMC 2020: 2979-2984
[c239]Jenifer Kalafatovich
, Minji Lee, Seong-Whan Lee:
Decoding Visual Recognition of Objects from EEG Signals based on Attention-Driven Convolutional Neural Network. SMC 2020: 2985-2990
[c238]Geonuk Kim, Honggyu Jung, Seong-Whan Lee:
Few-Shot Object Detection via Knowledge Transfer. SMC 2020: 3564-3569
[i27]Yeongtae Hwang, Hyemin Cho, Hongsun Yang, Insoo Oh, Seong-Whan Lee:
Mel-spectrogram augmentation for sequence to sequence voice conversion. CoRR abs/2001.01401 (2020)
[i26]Byeong-Hoo Lee, Ji-Hoon Jeong, Kyung-Hwan Shim, Seong-Whan Lee:
Classification of High-Dimensional Motor Imagery Tasks based on An End-to-end role assigned convolutional neural network. CoRR abs/2002.00210 (2020)
[i25]Ji-Hoon Jeong, Dae-Hyeok Lee, Hyung-Ju Ahn, Seong-Whan Lee:
Towards Brain-Computer Interfaces for Drone Swarm Control. CoRR abs/2002.00519 (2020)
[i24]Jeong-Hyun Cho, Ji-Hoon Jeong, Dong-Joo Kim, Seong-Whan Lee:
A novel approach to classify natural grasp actions by estimating muscle activity patterns from EEG signals. CoRR abs/2002.00556 (2020)
[i23]Seo-Hyun Lee, Minji Lee, Seong-Whan Lee:
Spatio-Temporal Dynamics of Visual Imagery for Intuitive Brain-Computer Interface. CoRR abs/2002.01117 (2020)
[i22]Jae-Hyun Park, Woo-Jeoung Nam, Seong-Whan Lee:
A Two-Stream Symmetric Network with Bidirectional Ensemble for Aerial Image Matching. CoRR abs/2002.01325 (2020)
[i21]Ye-Ji Kim, Dong-Gyu Lee
, Seong-Whan Lee:
Three-Stream Fusion Network for First-Person Interaction Recognition. CoRR abs/2002.08219 (2020)
[i20]Da-Hye Yoon, Nam-Gyu Cho, Seong-Whan Lee:
A Novel Online Action Detection Framework from Untrimmed Video Streams. CoRR abs/2003.07734 (2020)
[i19]Honggyu Jung, Seong-Whan Lee:
Few-Shot Learning with Geometric Constraints. CoRR abs/2003.09151 (2020)
[i18]Jin-Woo Seo, Honggyu Jung
, Seong-Whan Lee:
Self-Augmentation: Generalizing Deep Networks to Unseen Classes for Few-Shot Learning. CoRR abs/2004.00251 (2020)
[i17]Gi-Hwan Shin, Minji Lee, Hyeong-Jin Kim, Seong-Whan Lee:
Prediction of Event Related Potential Speller Performance Using Resting-State EEG. CoRR abs/2005.01325 (2020)
[i16]Kyung-Hwan Shim, Ji-Hoon Jeong, Seong-Whan Lee:
Gradual Relation Network: Decoding Intuitive Upper Extremity Movement Imaginations Based on Few-Shot EEG Learning. CoRR abs/2005.02602 (2020)
[i15]Jeong-Hyun Cho, Ji-Hoon Jeong, Seong-Whan Lee:
Decoding of Grasp Motions from EEG Signals Based on a Novel Data Augmentation Strategy. CoRR abs/2005.04881 (2020)
[i14]Young Eun Lee, Minji Lee, Seong-Whan Lee:
Reconstructing ERP Signals Using Generative Adversarial Networks for Mobile Brain-Machine Interface. CoRR abs/2005.08430 (2020)
[i13]Gi-Hwan Shin, Minji Lee, Seong-Whan Lee:
Assessment of Unconsciousness for Memory Consolidation Using EEG Signals. CoRR abs/2005.08620 (2020)
[i12]Byoung-Hee Kwon, Ji-Hoon Jeong, Jeong-Hyun Cho, Seong-Whan Lee:
Decoding of Intuitive Visual Motion Imagery Using Convolutional Neural Network under 3D-BCI Training Environment. CoRR abs/2005.08879 (2020)
[i11]Sin-Han Kang, Honggyu Jung, Dong-Ok Won, Seong-Whan Lee:
Counterfactual Explanation Based on Gradual Construction for Deep Networks. CoRR abs/2008.01897 (2020)
[i10]Hyun-Wook Yoon, Sang-Hoon Lee
, Hyeong-Rae Noh, Seong-Whan Lee:
Audio Dequantization for High Fidelity Audio Generation in Flow-based Neural Vocoder. CoRR abs/2008.06867 (2020)
[i9]Geonuk Kim, Honggyu Jung, Seong-Whan Lee:
Few-Shot Object Detection via Knowledge Transfer. CoRR abs/2008.12496 (2020)
[i8]Hyunseung Chung, Woo-Jeoung Nam, Seong-Whan Lee:
Rotation Invariant Aerial Image Retrieval with Group Convolutional Metric Learning. CoRR abs/2010.09202 (2020)
[i7]Woo-Jeoung Nam, Jaesik Choi, Seong-Whan Lee:
Interpreting Deep Neural Networks with Relative Sectional Propagation by Analyzing Comparative Gradients and Hostile Activations. CoRR abs/2012.03434 (2020)
[i6]Dae-Hyeok Lee, Hyung-Ju Ahn
, Ji-Hoon Jeong, Seong-Whan Lee:
Design of an EEG-based Drone Swarm Control System using Endogenous BCI Paradigms. CoRR abs/2012.03507 (2020)
[i5]Seo-Hyun Lee, Minji Lee, Seong-Whan Lee:
Functional Connectivity of Imagined Speech and Visual Imagery based on Spectral Dynamics. CoRR abs/2012.03520 (2020)
[i4]Jeong-Hyun Cho, Ji-Hoon Jeong, Myoung-Ki Kim, Seong-Whan Lee:
Towards Neurohaptics: Brain-Computer Interfaces for Decoding Intuitive Sense of Touch. CoRR abs/2012.06753 (2020)
2010 – 2019
- 2019
[j123]Sunil Kumar Prabhakar
, Harikumar Rajaguru
, Seong-Whan Lee
:
Metaheuristic-Based Dimensionality Reduction and Classification Analysis of PPG Signals for Interpreting Cardiovascular Disease. IEEE Access 7: 165181-165206 (2019)
[j122]Feng Zhao
, Islem Rekik
, Seong-Whan Lee
, Jing Liu
, Junying Zhang
, Dinggang Shen
:
Two-Phase Incremental Kernel PCA for Learning Massive or Online Datasets. Complex. 2019: 5937274:1-5937274:17 (2019)
[j121]Seung-Bo Lee, Hyun-Ji Kim, Hakseung Kim, Ji-Hoon Jeong
, Seong-Whan Lee, Dong-Joo Kim
:
Comparative analysis of features extracted from EEG spatial, spectral and temporal domains for binary and multiclass motor imagery classification. Inf. Sci. 502: 190-200 (2019)
[j120]Longwei Fang
, Lichi Zhang, Dong Nie
, Xiaohuan Cao
, Islem Rekik, Seong-Whan Lee, Huiguang He
, Dinggang Shen:
Automatic brain labeling via multi-atlas guided fully convolutional networks. Medical Image Anal. 51: 157-168 (2019)
[j119]Han Zhang
, Panteleimon Giannakopoulos, Sven Haller
, Seong-Whan Lee, Shijun Qiu
, Dinggang Shen:
Inter-Network High-Order Functional Connectivity (IN-HOFC) and its Alteration in Patients with Mild Cognitive Impairment. Neuroinformatics 17(4): 547-561 (2019)
[j118]Dong-Gyu Lee
, Seong-Whan Lee:
Prediction of partially observed human activity based on pre-trained deep representation. Pattern Recognit. 85: 198-206 (2019)
[j117]Woo-Hyuck Song, Honggyu Jung, In-Youb Gwak
, Seong-Whan Lee:
Oblique aerial image matching based on iterative simulation and homography evaluation. Pattern Recognit. 87: 317-331 (2019)
[j116]Yu Zhang
, Han Zhang
, Xiaobo Chen
, Mingxia Liu
, Xiaofeng Zhu
, Seong-Whan Lee, Dinggang Shen:
Strength and similarity guided group-level brain functional network construction for MCI diagnosis. Pattern Recognit. 88: 421-430 (2019)
[j115]Renping Yu
, Lishan Qiao, Mingming Chen, Seong-Whan Lee, Xuan Fei
, Dinggang Shen:
Weighted graph regularized sparse brain network construction for MCI identification. Pattern Recognit. 90: 220-231 (2019)
[c237]Seo-Hyun Lee, Minji Lee, Seong-Whan Lee:
EEG Representations of Spatial and Temporal Features in Imagined Speech and Overt Speech. ACPR (2) 2019: 387-400
[c236]Baek-Woon Yu, Ji-Hoon Jeong
, Dae-Hyeok Lee, Seong-Whan Lee:
Detection of Pilot's Drowsiness Based on Multimodal Convolutional Bidirectional LSTM Network. ACPR (2) 2019: 530-543
[c235]Soo-Yeon Han, Jeong-Woo Kim, Seong-Whan Lee:
Recognition of Pilot's Cognitive States based on Combination of Physiological Signals. BCI 2019: 1-5
[c234]Dong-Kyun Han, Min-Ho Lee
, John Williamson, Seong-Whan Lee:
The Effect of Neurofeedback Training in Virtual and Real Environments based on BCI. BCI 2019: 1-4
[c233]Young-Tak Kim, Seung-Bo Lee, Hakseung Kim, Ji-Hoon Jeong
, Seong-Whan Lee, Dong-Joo Kim:
Exploring the Number of Repetitions in Trials for the Performance Convergence of Classification in Motor Imagery Task with Hand-Grasping. BCI 2019: 1-4
[c232]Seung-Bo Lee, Hakseung Kim, Ji-Hoon Jeong
, In-Nea Wang, Seong-Whan Lee, Dong-Joo Kim:
Recurrent convolutional neural network model based on temporal and spatial feature for motor imagery classification. BCI 2019: 1-4
[c231]Sunil Kumar Prabhakar
, Harikumar Rajaguru
, Seong-Whan Lee:
A Comprehensive Analysis of Alcoholic EEG Signals with Detrend Fluctuation Analysis and Post Classifiers. BCI 2019: 1-6
[c230]Seung-Pyo Seo, Min-Ho Lee
, John Williamson, Seong-Whan Lee:
Changes in Fatigue and EEG Amplitude during a Longtime Use of Brain-Computer Interface. BCI 2019: 1-3
[c229]Chae-Bin Song, No-Sang Kwak, Minji Lee, Seong-Whan Lee:
The Effect of a Binaural Beat Combined with Autonomous Sensory Meridian Response Triggers on Brainwave Entrainment. BCI 2019: 1-4
[c228]Yong-Deok Yun, Ji-Hoon Jeong
, Jeong-Hyun Cho, Dong-Joo Kim, Seong-Whan Lee:
Reconstructing Degree of Forearm Rotation from Imagined movements for BCI-based Robot Hand Control. EMBC 2019: 3014-3017
[c227]Minji Lee, Benjamin Baird, Olivia Gosseries
, Jaakko O. Nieminen
, Mélanie Boly, Giulio Tononi, Seong-Whan Lee:
Graph Theoretical Analysis of Cortical Networks based on Conscious Experience. EMBC 2019: 3373-3376
[c226]Ji-Hoon Jeong
, Kyung-Hwan Shim, Dong-Joo Kim, Seong-Whan Lee:
Trajectory Decoding of Arm Reaching Movement Imageries for Brain-Controlled Robot Arm System. EMBC 2019: 5544-5547
[c225]Jeong-Hyun Cho, Ji-Hoon Jeong, Kyung-Hwan Shim, Seong-Whan Lee:
Classification of various grasping tasks based on temporal segmentation method using EEG and EMG signals. GBCIC 2019
[c224]Sin-Han Kang, Honggyu Jung, Seong-Whan Lee:
Interpreting Undesirable Pixels for Image Classification on Black-Box Models. ICCV Workshops 2019: 4250-4254
[c223]Aung Aung Phyo Wai, Min-Ho Lee
, Seong-Whan Lee, Cuntai Guan
:
Improving the Performance of SSVEP BCI with Short Response Time by Temporal Alignments Enhanced CCA. NER 2019: 155-158
[c222]Neethu Robinson, Seong-Whan Lee, Cuntai Guan
:
EEG Representation in Deep Convolutional Neural Networks for Classification of Motor Imagery. SMC 2019: 1322-1326
[c221]Minji Lee, Benjamin Baird, Olivia Gosseries
, Jaakko O. Nieminen
, Mélanie Boly, Giulio Tononi, Seong-Whan Lee:
Causal Connectivity According to Conscious Experience in Non-Rapid Eye Movement Sleep. SMC 2019: 2133-2138
[c220]Young-Tak Kim, Seho Lee
, Hakseung Kim, Seung-Bo Lee, Seong-Whan Lee, Dong-Joo Kim:
Reduced Burden of Individual Calibration Process in Brain-Computer Interface by Clustering the Subjects based on Brain Activation. SMC 2019: 2139-2143
[c219]Seung-Bo Lee, Hakseung Kim, Seho Lee
, Hyun-Ji Kim, Seong-Whan Lee, Dong-Joo Kim:
Classification of the Motion Artifacts in Near-infrared Spectroscopy Based on Wavelet Statistical Feature. SMC 2019: 2144-2148
[c218]Kyung-Hwan Shim, Ji-Hoon Jeong
, Byoung-Hee Kwon, Byeong-Hoo Lee, Seong-Whan Lee:
Assistive Robotic Arm Control based on Brain-Machine Interface with Vision Guidance using Convolution Neural Network. SMC 2019: 2785-2790
[c217]Dong-Geon Kim, Woo-Jeoung Nam, Seong-Whan Lee:
A Robust Matching Network for Gradually Estimating Geometric Transformation on Remote Sensing Imagery. SMC 2019: 3889-3894
[c216]Seo-Hyun Lee, Minji Lee, Ji-Hoon Jeong
, Seong-Whan Lee:
Towards an EEG-based Intuitive BCI Communication System Using Imagined Speech and Visual Imagery. SMC 2019: 4409-4414
[i3]Woo-Jeoung Nam, Jaesik Choi, Seong-Whan Lee:
Relative Attributing Propagation: Interpreting the Comparative Contributions of Individual Units in Deep Neural Networks. CoRR abs/1904.00605 (2019)
[i2]Sin-Han Kang, Honggyu Jung, Seong-Whan Lee:
Interpreting Undesirable Pixels for Image Classification on Black-Box Models. CoRR abs/1909.12446 (2019)
[i1]Paul Bertens, Seong-Whan Lee:
Network of Evolvable Neural Units: Evolving to Learn at a Synaptic Level. CoRR abs/1912.07589 (2019)- 2018
[j114]Zhengwang Wu
, Yanrong Guo, Sang Hyun Park, Yaozong Gao, Pei Dong, Seong-Whan Lee, Dinggang Shen:
Robust brain ROI segmentation by deformation regression and deformable shape model. Medical Image Anal. 43: 198-213 (2018)
[j113]Kim-Han Thung
, Pew-Thian Yap
, Ehsan Adeli
, Seong-Whan Lee, Dinggang Shen:
Conversion and time-to-conversion predictions of mild cognitive impairment using low-rank affinity pursuit denoising and matrix completion. Medical Image Anal. 45: 68-82 (2018)
[j112]Nam-Gyu Cho
, Alan L. Yuille
, Seong-Whan Lee
:
A Novel Linelet-Based Representation for Line Segment Detection. IEEE Trans. Pattern Anal. Mach. Intell. 40(5): 1195-1208 (2018)
[j111]Pil-Soo Kim, Dong-Gyu Lee
, Seong-Whan Lee:
Discriminative context learning with gated recurrent unit for group activity recognition. Pattern Recognit. 76: 149-161 (2018)
[c215]Ji-Hoon Jeong
, Keun-Tae Kim, Yong-Deok Yun, Seong-Whan Lee:
Design of a brain-controlled robot arm system based on upper-limb movement imagery. BCI 2018: 1-3
[c214]Yong-Jeong Kim, No-Sang Kwak, Seong-Whan Lee:
Classification of motor imagery for Ear-EEG based brain-computer interface. BCI 2018: 1-2
[c213]Minji Lee, Seul-Ki Yeom, Benjamin Baird, Olivia Gosseries
, Jaakko O. Nieminen
, Giulio Tononi, Seong-Whan Lee:
Spatio-temporal analysis of EEG signal during consciousness using convolutional neural network. BCI 2018: 1-3
[c212]Kyowoon Lee, Sol-A. Kim, Jaesik Choi, Seong-Whan Lee:
Deep Reinforcement Learning in Continuous Action Spaces: a Case Study in the Game of Simulated Curling. ICML 2018: 2943-2952
[c211]Dong-Ok Won, Byung-Do Kim, Ho-Jung Kim, Tae-San Eom
, Klaus-Robert Müller
, Seong-Whan Lee:
Curly: An AI-based Curling Robot Successfully Competing in the Olympic Discipline of Curling. IJCAI 2018: 5883-5885
[c210]Ji-Hoon Jeong
, Keun-Tae Kim, Dong-Joo Kim, Seong-Whan Lee:
Decoding of Multi-directional Reaching Movements for EEG-Based Robot Arm Control. SMC 2018: 511-514
[c209]Jeong-Hyun Cho, Ji-Hoon Jeong
, Kyung-Hwan Shim, Dong-Joo Kim, Seong-Whan Lee:
Classification of Hand Motions within EEG Signals for Non-Invasive BCI-Based Robot Hand Control. SMC 2018: 515-518- 2017
[j110]Sun-Hee Kim, Hyung-Jeong Yang, Seong-Whan Lee:
FitMine: automatic mining for time-evolving signals of cardiotocography monitoring. Data Min. Knowl. Discov. 31(4): 909-933 (2017)
[j109]Nam-Gyu Cho
, Se-Ho Park, Jeong-Seon Park, Unsang Park, Seong-Whan Lee:
Compositional interaction descriptor for human interaction recognition. Neurocomputing 267: 169-181 (2017)
[j108]Sun-Hee Kim, Lei Li, Christos Faloutsos, Hyung-Jeong Yang, Seong-Whan Lee:
DAPs: Mining using Change-Point Detection of Epileptic Activity Time Series Data. J. Inf. Sci. Eng. 33(2): 517-536 (2017)
[j107]Heung-Il Suk
, Seong-Whan Lee, Dinggang Shen:
Deep ensemble learning of sparse regression models for brain disease diagnosis. Medical Image Anal. 37: 101-113 (2017)
[j106]Xiaofeng Zhu
, Heung-Il Suk
, Li Wang
, Seong-Whan Lee, Dinggang Shen:
A novel relational regularization feature selection method for joint regression and classification in AD diagnosis. Medical Image Anal. 38: 205-214 (2017)
[j105]Myung-Cheol Roh, Dongoh Kang, Sungju Huh, Seong-Whan Lee:
A virtual mouse interface with a two-layered Bayesian network. Multim. Tools Appl. 76(2): 1615-1638 (2017)
[j104]Xiaobo Chen
, Han Zhang, Seong-Whan Lee, Dinggang Shen:
Hierarchical High-Order Functional Connectivity Networks and Selective Feature Fusion for MCI Classification. Neuroinformatics 15(3): 271-284 (2017)
[j103]Byoung-Kyong Min
, Heung-Il Suk
, Min-Hee Ahn, Min-Ho Lee
, Seong-Whan Lee:
Individual Identification Using Cognitive Electroencephalographic Neurodynamics. IEEE Trans. Inf. Forensics Secur. 12(9): 2159-2167 (2017)
[j102]Ju Han Yoo, Seong-Whan Lee, Sung-Kee Park, Dong Hwan Kim
:
A Robust Lane Detection Method Based on Vanishing Point Estimation Using the Relevance of Line Segments. IEEE Trans. Intell. Transp. Syst. 18(12): 3254-3266 (2017)
[c208]Keun-Tae Kim, Ki-Hee Park, Seong-Whan Lee:
An Adaptive Convolutional Neural Network Framework for Multi-user Myoelectric Interfaces. ACPR 2017: 788-792
[c207]Seul-Ki Yeom, Hwi-Jae Kim, Kwang-Suk Seo, Hyun Jeong Kim, Seong-Whan Lee:
EEG-based Classification of Consciousness during Sedation Using Global Spectra Principal Components. ACPR 2017: 799-803
[c206]Suk-Min Lee, Jeong-Woo Kim, Seong-Whan Lee:
Detecting Driver's Braking Intention Using Recurrent Convolutional Neural Networks Based EEG Analysis. ACPR 2017: 840-845
[c205]Young-Jin Kee, Min-Ho Lee
, John Williamson, Seong-Whan Lee:
A Hierarchical Classification Strategy for Robust Detection of Passive/Active Mental State Using User-Voluntary Pitch Imagery Task. ACPR 2017: 906-910
[c204]Seong-Whan Lee, Klaus-Robert Müller:
Welcome message from the general chairs. BCI 2017: 1
[c203]Dong-Ok Won, Han-Jeong Hwang, Klaus-Robert Müller
, Seong-Whan Lee:
Shifting stimuli for brain computer interface based on rapid serial visual presentation. BCI 2017: 40-41
[c202]Ji-Hoon Jeong
, Min-Ho Lee
, No-Sang Kwak, Seong-Whan Lee:
Single-trial analysis of readiness potentials for lower limb exoskeleton control. BCI 2017: 50-52
[c201]Ji-Young Hwang, Min-Ho Lee
, Seong-Whan Lee:
A brain-computer interface speller using peripheral stimulus-based SSVEP and P300. BCI 2017: 77-78
[c200]Jong-Pil Kim, Seong-Whan Lee:
Time domain EEG analysis for evaluating the effects of driver's mental work load during simulated driving. BCI 2017: 79-80
[c199]Bo-Ram Lee, Dong-Ok Won, Kwang-Suk Seo
, Hyun Jeong Kim, Seong-Whan Lee:
Classification of wakefulness and anesthetic sedation using combination feature of EEG and ECG. BCI 2017: 88-90
[c198]Hwi-Jae Kim, Seul-Ki Yeom, Kwang-Suk Seo
, Hyun Jeong Kim, Seong-Whan Lee:
Classification of midazolam-induced sedation depth based on spatial and spectral analysis. BCI 2017: 99-102
[c197]Young-Jin Kee, Dong-Ok Won, Seong-Whan Lee:
Classification of left and right foot movement intention based on steady-state somatosensory evoked potentials. BCI 2017: 106-108
[c196]Minji Lee, Robert D. Sanders
, Seul-Ki Yeom, Dong-Ok Won, Hwi-Jae Kim, Bo-Ram Lee, Kwang-Suk Seo, Hyun Jeong Kim, Giulio Tononi, Seong-Whan Lee:
Change in functional networks for transitions between states of consciousness during midazolam-induced sedation. EMBC 2017: 958-961
[c195]Ji-Hoon Jeong, No-Sang Kwak, Min-Ho Lee, Seong-Whan Lee:
Decoding of walking Intention under Lower limb exoskeleton Environment using MRCP Feature. GBCIC 2017
[c194]Dong-Ok Won, Han-Jeong Hwang, Klaus-Robert Müller
, Seong-Whan Lee:
Improving Classification Performance of a brain-Computer Interface System based on Rapid Serial Visual Presentation by Shifting stimuli. GBCIC 2017
[c193]Seon-Min Kim, Min-Ho Lee
, Seong-Whan Lee:
Self-paced training on motor imagery-based BCI for minimal calibration time. SMC 2017: 2297-2301- 2016
[j101]Myung-Cheol Roh, Siamac Fazli
, Seong-Whan Lee:
Selective temporal filtering and its application to hand gesture recognition. Appl. Intell. 45(2): 255-264 (2016)
[j100]Heung-Il Suk
, Chong-Yaw Wee, Seong-Whan Lee, Dinggang Shen:
State-space model with deep learning for functional dynamics estimation in resting-state fMRI. NeuroImage 129: 292-307 (2016)
[j99]Xiaofeng Zhu
, Heung-Il Suk
, Seong-Whan Lee, Dinggang Shen:
Subspace Regularized Sparse Multitask Learning for Multiclass Neurodegenerative Disease Identification. IEEE Trans. Biomed. Eng. 63(3): 607-618 (2016)
[j98]Yiyu Chen
, Ayalneh Dessalegn Atnafu, Isabella Schlattner
, Wendimagegn Tariku Weldtsadik, Myung-Cheol Roh, Hyoung Joong Kim, Seong-Whan Lee, Benjamin Blankertz, Siamac Fazli
:
A High-Security EEG-Based Login System with RSVP Stimuli and Dry Electrodes. IEEE Trans. Inf. Forensics Secur. 11(12): 2635-2647 (2016)
[c192]Hye-Soo An, Jeong-Woo Kim, Seong-Whan Lee:
Design of an asynchronous brain-computer interface for control of a virtual Avatar. BCI 2016: 1-2
[c191]Min-Ho Lee
, Siamac Fazli
, Keun-Tae Kim, Seong-Whan Lee:
Development of an open source platform for brain-machine interface: openBMI. BCI 2016: 1-2
[c190]Jae-Hee Moon, Ki-Hee Park, Seong-Whan Lee:
Neurodrawing: neurofeedback for enhancing attention by drawing. BCI 2016: 1-2
[c189]Hee-Jin Park, Keun-Tae Kim, Seong-Whan Lee:
Steady-state visual evoked potential based brain-computer interface with viewing distance changes. BCI 2016: 1-2
[c188]Ki-Hee Park, Seong-Whan Lee:
Movement intention decoding based on deep learning for multiuser myoelectric interfaces. BCI 2016: 1-2
[c187]Dong-Gyu Lee
, Seong-Whan Lee:
Human activity prediction based on Sub-volume Relationship Descriptor. ICPR 2016: 2060-2065
[c186]No-Sang Kwak, Dong-Ok Won, Keun-Tae Kim, Hee-Jin Park, Seong-Whan Lee:
Analysis of steady state visual evoked potentials based on viewing distance changes for brain-machine interface speller. SMC 2016: 1502-1505
[c185]Ji-Yong Kim
, Seong-Whan Lee:
Classification of movement-related cortical potentials for multi-command control based on brain-machine interface. SMC 2016: 1506-1509
[c184]Min-Ho Lee
, Keun-Tae Kim, Yeong-Jin Kee, Ji-Hoon Jeong
, Seon-Min Kim, Siamac Fazli
, Seong-Whan Lee:
OpenBMI: A real-time data analysis toolbox for Brain-Machine Interfaces. SMC 2016: 1884-1887
[c183]Keun-Tae Kim, Seong-Whan Lee:
Towards an EEG-based intelligent wheelchair driving system with vibro-tactile stimuli. SMC 2016: 2382-2385- 2015
[j97]Nam-Gyu Cho
, Young-Ji Kim
, Unsang Park, Jeong-Seon Park, Seong-Whan Lee:
Group Activity Recognition with Group Interaction Zone Based on Relative Distance Between Human Objects. Int. J. Pattern Recognit. Artif. Intell. 29(5): 1555007:1-1555007:15 (2015)
[j96]Myung-Cheol Roh, Seong-Whan Lee:
Human gesture recognition using a simplified dynamic Bayesian network. Multim. Syst. 21(6): 557-568 (2015)
[j95]Minjeong Kim, Guorong Wu, Qian Wang
, Seong-Whan Lee, Dinggang Shen:
Improved image registration by sparse patch-based deformation estimation. NeuroImage 105: 257-268 (2015)
[j94]Heung-Il Suk
, Chong-Yaw Wee, Seong-Whan Lee, Dinggang Shen:
Supervised Discriminative Group Sparse Representation for Mild Cognitive Impairment Diagnosis. Neuroinformatics 13(3): 277-295 (2015)
[j93]Min-Ho Lee
, Siamac Fazli
, Jan Mehnert
, Seong-Whan Lee:
Subject-dependent classification for robust idle state detection using multi-modal neuroimaging and data-fusion techniques in BCI. Pattern Recognit. 48(8): 2725-2737 (2015)
[j92]Dong-Gyu Lee
, Heung-Il Suk
, Sung-Kee Park, Seong-Whan Lee:
Motion Influence Map for Unusual Human Activity Detection and Localization in Crowded Scenes. IEEE Trans. Circuits Syst. Video Technol. 25(10): 1612-1623 (2015)
[c182]Bum Joo Kim, Min-Ho Lee
, Seong-Whan Lee:
Intention analysis based on brain signal for participation induction during rehabilitation. BCI 2015: 1-2
[c181]Jeong-Woo Kim, Heung-Il Suk
, Jong-Pil Kim, Seong-Whan Lee:
Combined regression and classification approach for prediction of driver's braking intention. BCI 2015: 1-3
[c180]Hee-Jin Park, Keun-Tae Kim, Seong-Whan Lee:
Towards a smart TV control system based on steady-state visual evoked potential. BCI 2015: 1-2
[c179]Jeong-Seok Woo, Klaus-Robert Müller
, Seong-Whan Lee:
Classifying directions in continuous arm movement from EEG signals. BCI 2015: 1-2
[c178]Heung-Il Suk
, Seong-Whan Lee, Dinggang Shen:
A Hybrid of Deep Network and Hidden Markov Model for MCI Identification with Resting-State fMRI. MICCAI (1) 2015: 573-580
[c177]Jeong-Woo Kim, Il-Hwa Kim, Seong-Whan Lee:
Detection of Braking Intention during Simulated Driving Based on EEG Analysis: Online Study. SMC 2015: 887-891
[c176]Keun-Tae Kim, Seong-Whan Lee:
Wheelchair Control Based on Steady-State Somatosensory Evoked Potentials. SMC 2015: 1504-1507- 2014
[j91]Heung-Il Suk
, Seong-Whan Lee, Dinggang Shen:
Hierarchical feature representation and multimodal fusion with deep learning for AD/MCI diagnosis. NeuroImage 101: 569-582 (2014)
[j90]Dongoh Kang, Hu Han
, Anil K. Jain, Seong-Whan Lee:
Nighttime face recognition at large standoff: Cross-distance and cross-spectral matching. Pattern Recognit. 47(12): 3750-3766 (2014)
[j89]Xiaobai Liu, Qian Xu, Shuicheng Yan, Gang Wang, Hai Jin, Seong-Whan Lee:
Nonnegative Tensor Cofactorization and Its Unified Solution. IEEE Trans. Image Process. 23(9): 3950-3961 (2014)
[c175]Dong-Gyu Lee
, Heung-Il Suk
, Seong-Whan Lee:
Modeling crowd motions for abnormal activity detection. AVSS 2014: 325-330
[c174]Jeong-Hun Kim, Felix Bießmann, Seong-Whan Lee:
Reconstruction of hand movements from EEG signals based on non-linear regression. BCI 2014: 1-3
[c173]Jeong-Woo Kim, Il-Hwa Kim, Stefan Haufe
, Seong-Whan Lee:
Brain-computer interface for smart vehicle: Detection of braking intention during simulated driving. BCI 2014: 1-3
[c172]Keun-Tae Kim, Seong-Whan Lee:
Steady-state somatosensory evoked potentials for brain-controlled wheelchair. BCI 2014: 1-2
[c171]No-Sang Kwak, Klaus-Robert Müller, Seong-Whan Lee:
Toward exoskeleton control based on steady state visual evoked potentials. BCI 2014: 1-2
[c170]Min-Ho Lee
, Siamac Fazli
, Jan Mehnert, Seong-Whan Lee:
Hybrid brain-computer interface based on EEG and NIRS modalities. BCI 2014: 1-2
[c169]Dong-Ok Won, Seong-Whan Lee:
Frequency-wise optimal duty-cycle selection in steady state visual evoked potentials: A pilot study. BCI 2014: 1-2
[c168]Seul-Ki Yeom, Siamac Fazli
, Seong-Whan Lee:
P300 visual speller based on random set presentation. BCI 2014: 1-2
[c167]Roozbeh Mottaghi, Xianjie Chen, Xiaobai Liu, Nam-Gyu Cho
, Seong-Whan Lee, Sanja Fidler
, Raquel Urtasun, Alan L. Yuille
:
The Role of Context for Object Detection and Semantic Segmentation in the Wild. CVPR 2014: 891-898
[c166]Seul-Ki Yeom, Siamac Fazli
, Klaus-Robert Müller
, Seong-Whan Lee:
Towards an enhanced ERP speller based on the visual processing of face familiarity. EMBC 2014: 1330-1333
[c165]Areum Lee
, Heung-Il Suk
, Seong-Whan Lee:
View-Invariant 3D Action Recognition Using Spatiotemporal Self-Similarities from Depth Camera. ICPR 2014: 501-505
[c164]Young-Ji Kim
, Nam-Gyu Cho
, Seong-Whan Lee:
Group Activity Recognition with Group Interaction Zone. ICPR 2014: 3517-3521
[c163]Dong-Ok Won, Haihong Zhang, Cuntai Guan
, Seong-Whan Lee:
A BCI speller based on SSVEP using high frequency stimuli design. SMC 2014: 1068-1071
[c162]Jeong-Woo Kim, Il-Hwa Kim, Seong-Whan Lee:
Decision of braking intensity during simulated driving based on analysis of neural correlates. SMC 2014: 4129-4132- 2013
[j88]Heejoon Chae, Inuk Jung, Hyungro Lee
, Suresh Marru, Seong-Whan Lee, Sun Kim:
Bio and health informatics meets cloud : BioVLab as an example. Health Inf. Sci. Syst. 1(1): 6 (2013)
[j87]Tae-Eui Kam, Heung-Il Suk
, Seong-Whan Lee:
Non-homogeneous spatial filter optimization for ElectroEncephaloGram (EEG)-based motor imagery classification. Neurocomputing 108: 58-68 (2013)
[j86]Siamac Fazli
, Seong-Whan Lee:
Brain Computer Interfacing: A Multi-Modal Perspective. J. Comput. Sci. Eng. 7(2): 132-138 (2013)
[j85]Heung-Il Suk
, Seong-Whan Lee:
A Novel Bayesian Framework for Discriminative Feature Extraction in Brain-Computer Interfaces. IEEE Trans. Pattern Anal. Mach. Intell. 35(2): 286-299 (2013)
[j84]Nam-Gyu Cho
, Alan L. Yuille
, Seong-Whan Lee:
Adaptive occlusion state estimation for human pose tracking under self-occlusions. Pattern Recognit. 46(3): 649-661 (2013)
[j83]Seul-Ki Yeom, Heung-Il Suk
, Seong-Whan Lee:
Person authentication from neural activity of face-specific visual self-representation. Pattern Recognit. 46(4): 1159-1169 (2013)
[j82]Hee-Deok Yang, Seong-Whan Lee:
Robust sign language recognition by combining manual and non-manual features based on conditional random field and support vector machine. Pattern Recognit. Lett. 34(16): 2051-2056 (2013)
[j81]Unsang Park, Hyun-Cheol Choi, Anil K. Jain, Seong-Whan Lee:
Face Tracking and Recognition at a Distance: A Coaxial and Concentric PTZ Camera System. IEEE Trans. Inf. Forensics Secur. 8(10): 1665-1677 (2013)
[c161]Dong-Gyu Lee
, Heung-Il Suk
, Seong-Whan Lee:
Crowd Behavior Representation Using Motion Influence Matrix for Anomaly Detection. ACPR 2013: 110-114
[c160]Min-Ho Lee
, Siamac Fazli
, Jan Mehnert, Seong-Whan Lee:
Improving the Performance of Brain-Computer Interface Using Multi-modal Neuroimaging. ACPR 2013: 511-515
[c159]Dongcheol Hur, Christian Wallraven
, Seong-Whan Lee:
Recognizing Conversational Expressions Using Latent Dynamic Conditional Random Fields. ACPR 2013: 697-701
[c158]Siamac Fazli
, Klaus-Robert Müller
, Seong-Whan Lee, Benjamin Blankertz:
Tutorial on multimodal neuroimaging for brain-computer interfacing. BCI 2013: 1-2
[c157]Jeong-Woo Kim, Il-Hwa Kim, Seong-Whan Lee:
Neuro-driving: Automatic perception technique for upcoming emergency situations. BCI 2013: 8-9
[c156]Heung-Il Suk
, Seong-Whan Lee:
A Bayesian approach for spatio-spectral filter optimization in BCI. BCI 2013: 22-23
[c155]Tae-Eui Kam, Heung-Il Suk
, Seong-Whan Lee:
Non-homogeneous spatial filter optimization for EEG-based brain-computer interfaces. BCI 2013: 26-28
[c154]Keun-Tae Kim, Tom Carlson
, Seong-Whan Lee:
Design of a robotic wheelchair with a motor imagery based brain-computer interface. BCI 2013: 46-48
[c153]Il-Hwa Kim, Jeong-Woo Kim, Stefan Haufe
, Seong-Whan Lee:
Detection of multi-class emergency situations during simulated driving from ERP. BCI 2013: 49-51
[c152]Seul-Ki Yeom, Heung-Il Suk
, Seong-Whan Lee:
Eeg-based person authentication using face stimuli. BCI 2013: 58-61
[c151]Seul-Ki Yeom, Siamac Fazli
, Jan Mehnert, Benjamin Blankertz, Jens Steinbrink
, Klaus-Robert Müller, Seong-Whan Lee:
Multimodal imaging technique for rapid response brain-computer interface feedback. BCI 2013: 92-94
[c150]Min-Ho Lee
, Siamac Fazli
, Seong-Whan Lee:
Optimal channel selection based on statistical analysis in high dimensional NIRS data. BCI 2013: 95-97
[c149]Jeong-Hun Kim, Ricardo Chavarriaga
, José del R. Millán
, Seong-Whan Lee:
Three-dimensional upper limb movement decoding from EEG signals. BCI 2013: 109-111
[c148]Nam-Gyu Cho
, Seong-Whan Lee:
Incorporating global and local observation models for human pose tracking. RO-MAN 2013: 25-30- 2012
[j80]Heung-Il Suk
, Yuzhuo Wang, Seong-Whan Lee:
Incremental Sparse Pseudo-input Gaussian Process Regression. Int. J. Pattern Recognit. Artif. Intell. 26(8) (2012)
[j79]Dongcheol Hur, Heung-Il Suk
, Christian Wallraven
, Seong-Whan Lee:
Biased Manifold Learning for View Invariant Body Pose Estimation. Int. J. Wavelets Multiresolution Inf. Process. 10(6) (2012)
[j78]Hee-Deok Yang, Heung-Il Suk
, Seong-Whan Lee:
Accelerating generalized Iterative Scaling Based on Staggered Aitken Method for on-Line Conditional Random Fields. Int. J. Wavelets Multiresolution Inf. Process. 10(6) (2012)
[j77]Chang-Yu Lu
, Myung-Cheol Roh, Seung-Yeon Kang, Seong-Whan Lee:
Automatic logo transition detection in digital video contents. Pattern Anal. Appl. 15(2): 175-187 (2012)
[j76]Dimitri Van De Ville
, Seong-Whan Lee:
Brain decoding: Opportunities and challenges for pattern recognition. Pattern Recognit. 45(6): 2033-2034 (2012)
[j75]Kim Boyer, Müjdat Çetin
, Anil K. Jain, Seong-Whan Lee:
Special Issue on Awards from ICPR 2010. Pattern Recognit. Lett. 33(7): 808-810 (2012)
[j74]Young-Beom Lee, Unsang Park, Anil K. Jain, Seong-Whan Lee:
Pill-ID: Matching and retrieval of drug pill images. Pattern Recognit. Lett. 33(7): 904-910 (2012)
[c147]Hyunju Maeng, Shengcai Liao
, Dongoh Kang, Seong-Whan Lee, Anil K. Jain:
Nighttime Face Recognition at Long Distance: Cross-Distance and Cross-Spectral Matching. ACCV (2) 2012: 708-721
[c146]Nam-Gyu Cho
, Alan L. Yuille
, Seong-Whan Lee:
Self-occlusion robust 3D human pose tracking from monocular image sequence. SMC 2012: 254-257
[c145]Xiaoyu Ding, Jong-Hwan Lee
, Seong-Whan Lee:
Investigation of smoking related features in spatio-spectral domain on resting-state fMRI data using nonnegative matrix factorization. SMC 2012: 571-574
[c144]Eunsoo Choi
, Seong-Whan Lee, Christian Wallraven
:
Face recognition with enhanced local gabor binary pattern from human fixations. SMC 2012: 863-867
[c143]Heung-Il Suk
, Yuzhuo Wang, Seong-Whan Lee:
Online learning of sparse pseudo-input Gaussian Process. SMC 2012: 1357-1360
[c142]Ahyoung Shin, Seong-Whan Lee, Heinrich H. Bülthoff
, Christian Wallraven
:
A morphable 3D-model of Korean faces. SMC 2012: 2283-2288
[c141]Dongcheol Hur, Christian Wallraven
, Seong-Whan Lee:
Supervised manifold learning based on biased distance for view invariant body pose estimation. SMC 2012: 2717-2720- 2011
[j73]Seong-Whan Lee:
Guest editorial: Special issue on pattern recognition in neuroimaging. Int. J. Imaging Syst. Technol. 21(2): 121-122 (2011)
[j72]Heung-Il Suk
, Seong-Whan Lee:
Subject and class specific frequency bands selection for multiclass motor imagery classification. Int. J. Imaging Syst. Technol. 21(2): 123-130 (2011)
[j71]Chang-Beom Park, Seong-Whan Lee:
Real-time 3D pointing gesture recognition for mobile robots with cascade HMM and particle filter. Image Vis. Comput. 29(1): 51-63 (2011)
[j70]Heung-Il Suk
, Anil K. Jain, Seong-Whan Lee:
A Network of Dynamic Probabilistic Models for Human Interaction Analysis. IEEE Trans. Circuits Syst. Video Technol. 21(7): 932-945 (2011)
[c140]Nam-Gyu Cho
, Alan L. Yuille
, Seong-Whan Lee:
Nonflat observation model and adaptive depth order estimation for 3D human pose tracking. ACPR 2011: 382-386
[c139]Tae-Eui Kam, Seong-Whan Lee:
Time-Dependent Common Spatial Patterns optimization for EEG signal classification. ACPR 2011: 643-646
[c138]Franck Caniard, Heinrich H. Bülthoff
, Pascal Mamassian
, Seong-Whan Lee, Ian M. Thornton
:
Active control does not eliminate motion-induced illusory displacement. APGV 2011: 101-108
[c137]Hyunju Maeng, Hyun-Cheol Choi, Unsang Park, Seong-Whan Lee, Anil K. Jain:
NFRAD: Near-Infrared Face Recognition at a Distance. IJCB 2011: 1-7
[c136]Jung-Jin Lee, Pyoung-Hean Lee, Seong-Whan Lee, Alan L. Yuille
, Christof Koch
:
AdaBoost for Text Detection in Natural Scene. ICDAR 2011: 429-434
[c135]Xiaoyu Ding, Jong-Hwan Lee
, Seong-Whan Lee:
A constrained alternating least squares nonnegative matrix factorization algorithm enhances task-related neuronal activity detection from single subject's fMRI data. ICMLC 2011: 338-343
[c134]Hee-Deok Yang, Seong-Whan Lee:
Combination of manual and non-manual features for sign language recognition based on conditional random field and active appearance model. ICMLC 2011: 1726-1731
[c133]Hyoung Il Son
, Lewis L. Chuang
, Antonio Franchi, Junsuk Kim, Dongjun Lee, Seong-Whan Lee, Heinrich H. Bülthoff, Paolo Robuffo Giordano:
Measuring an operator's maneuverability performance in the haptic teleoperation of multiple robots. IROS 2011: 3039-3046
[c132]Tae-Eui Kam, Seong-Whan Lee:
Optimizing Time-Dependent Discriminative Spatial Filter for EEG-Based Multi-class Motor Imagery Classification. PRNI 2011: 17-20
[c131]Heung-Il Suk
, Seong-Whan Lee:
Data-Driven Frequency Bands Selection in EEG-Based Brain-Computer Interface. PRNI 2011: 25-28
[c130]Heung-Il Suk
, Seong-Whan Lee:
A probabilistic approach to spatio-spectral filters optimization in Brain-Computer Interface. SMC 2011: 19-24- 2010
[j69]Mohiuddin Ahmad
, Seong-Whan Lee:
Variable silhouette energy image representations for recognizing human actions. Image Vis. Comput. 28(5): 814-824 (2010)
[j68]Mohiuddin Ahmad, Irine Parvin, Seong-Whan Lee:
Silhouette History and Energy Image Information for Human Movement Recognition. J. Multim. 5(1): 12-21 (2010)
[j67]Hee-Deok Yang, Seong-Whan Lee:
Simultaneous spotting of signs and fingerspellings based on hierarchical conditional random fields and boostmap embeddings. Pattern Recognit. 43(8): 2858-2870 (2010)
[j66]Heung-Il Suk
, Bong-Kee Sin, Seong-Whan Lee:
Hand gesture recognition based on dynamic Bayesian network framework. Pattern Recognit. 43(9): 3059-3072 (2010)
[j65]Myung-Cheol Roh, Ho-Kuen Shin, Seong-Whan Lee:
View-independent human action recognition with Volume Motion Template on single stereo camera. Pattern Recognit. Lett. 31(7): 639-647 (2010)
[c129]Hee-Deok Yang, Seong-Whan Lee:
Accelerating generalized iterative scaling using componentwise extrapolations for on-line conditional random fields. ICMLC 2010: 3169-3173
[c128]Hee-Deok Yang, Seong-Whan Lee:
Robust Sign Language Recognition with Hierarchical Conditional Random Fields. ICPR 2010: 2202-2205
[c127]Dongcheol Hur, Christian Wallraven
, Seong-Whan Lee:
View Invariant Body Pose Estimation Based on Biased Manifold Learning. ICPR 2010: 3866-3869
2000 – 2009
- 2009
[j64]Hee-Deok Yang, Stan Sclaroff, Seong-Whan Lee:
Sign Language Spotting with a Threshold Model Based on Conditional Random Fields. IEEE Trans. Pattern Anal. Mach. Intell. 31(7): 1264-1277 (2009)
[c126]Seong-Sik Cho, Hee-Deok Yang, Seong-Whan Lee:
Sign language spotting based on semi-Markov Conditional Random Field. WACV 2009: 1-6
[c125]Myung-Cheol Roh, Sungju Huh, Seong-Whan Lee:
A Virtual Mouse interface based on Two-layered Bayesian Network. WACV 2009: 1-6
[c124]Heung-Il Suk
, Bong-Kee Sin, Seong-Whan Lee:
Analyzing human interactions with a network of dynamic probabilistic models. WACV 2009: 1-6- 2008
[j63]Sang-Woong Lee, Patrick S. P. Wang, Svetlana N. Yanushkevich
, Seong-Whan Lee:
Noniterative 3D Face Reconstruction Based on Photometric Stereo. Int. J. Pattern Recognit. Artif. Intell. 22(3): 389-410 (2008)
[j62]


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