default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDChang Dong Yoo
Chang D. Yoo
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j47]Sunjae Yoon
, Gwanhyeong Koo, Jun Yeop Shim, SooHwan Eom, Ji Woo Hong, Chang D. Yoo:
Causal Localization Network for Radar Human Localization With Micro-Doppler Signature. IEEE Access 12: 38275-38286 (2024)- [j46]Thanh Xuan Nguyen, Tung Minh Luu, Tri Ton, Sungwoong Kim, Chang D. Yoo:
Uncertainty-Aware Rank-One MIMO Q Network Framework for Accelerated Offline Reinforcement Learning. IEEE Access 12: 100972-100982 (2024) - [j45]Thang Vu, Kookhoi Kim, Thanh Xuan Nguyen, Tung Minh Luu, Junyeong Kim, Chang D. Yoo:
Scalable SoftGroup for 3D Instance Segmentation on Point Clouds. IEEE Trans. Pattern Anal. Mach. Intell. 46(4): 1981-1995 (2024) - [j44]Joshua Tian Jin Tee, Kang Zhang, Hee Suk Yoon, Dhananjaya N. Gowda, Chanwoo Kim, Chang D. Yoo:
Physics Informed Distillation for Diffusion Models. Trans. Mach. Learn. Res. 2024 (2024) - [c138]Hyun Ryu, Sunjae Yoon, Hee Suk Yoon, Eunseop Yoon, Chang D. Yoo:
SimPSI: A Simple Strategy to Preserve Spectral Information in Time Series Data Augmentation. AAAI 2024: 14857-14865 - [c137]Eunseop Yoon, Hee Suk Yoon, SooHwan Eom, Gunsoo Han, Daniel Wontae Nam, Daejin Jo, Kyoung-Woon On, Mark Hasegawa-Johnson, Sungwoong Kim, Chang Dong Yoo:
TLCR: Token-Level Continuous Reward for Fine-grained Reinforcement Learning from Human Feedback. ACL (Findings) 2024: 14969-14981 - [c136]Tri Ton, Ji Woo Hong, SooHwan Eom, Jun Yeop Shim, Junyeong Kim, Chang D. Yoo:
Zero-Shot Dual-Path Integration Framework for Open-Vocabulary 3D Instance Segmentation. CVPR Workshops 2024: 7598-7607 - [c135]Sunjae Yoon, Gwanhyeong Koo, Ji Woo Hong, Chang D. Yoo:
DNI: Dilutional Noise Initialization for Diffusion Video Editing. ECCV (48) 2024: 180-195 - [c134]Sojeong Song, Seoyun Yang, Chang D. Yoo, Junmo Kim:
Implicit Steganography Beyond the Constraints of Modality. ECCV (86) 2024: 289-304 - [c133]Gwanhyeong Koo, Sunjae Yoon, Ji Woo Hong, Chang D. Yoo:
FlexiEdit: Frequency-Aware Latent Refinement for Enhanced Non-rigid Editing. ECCV (63) 2024: 363-379 - [c132]Hee Suk Yoon, Eunseop Yoon, Joshua Tian Jin Tee, Kang Zhang, Yu-Jung Heo, Du-Seong Chang, Chang D. Yoo:
BI-MDRG: Bridging Image History in Multimodal Dialogue Response Generation. ECCV (31) 2024: 378-396 - [c131]SooHwan Eom, Jay Shim, Gwanhyeong Koo, Haebin Na, Mark Hasegawa-Johnson, Sungwoong Kim, Chang Dong Yoo:
Query-based Cross-Modal Projector Bolstering Mamba Multimodal LLM. EMNLP (Findings) 2024: 14158-14167 - [c130]Gwanhyeong Koo, Sunjae Yoon, Chang D. Yoo:
Wavelet-Guided Acceleration of Text Inversion in Diffusion-Based Image Editing. ICASSP 2024: 4380-4384 - [c129]Heting Gao, Mark Hasegawa-Johnson, Chang D. Yoo:
G2PU: Grapheme-To-Phoneme Transducer with Speech Units. ICASSP 2024: 10061-10065 - [c128]Liming Wang, Mark Hasegawa-Johnson, Chang D. Yoo:
Unsupervised Speech Recognition with N-skipgram and Positional Unigram Matching. ICASSP 2024: 10936-10940 - [c127]SooHwan Eom, Eunseop Yoon, Hee Suk Yoon, Chanwoo Kim, Mark Hasegawa-Johnson, Chang D. Yoo:
AdaMER-CTC: Connectionist Temporal Classification with Adaptive Maximum Entropy Regularization for Automatic Speech Recognition. ICASSP 2024: 12707-12711 - [c126]Seong Jin Cho, Gwangsu Kim, Junghyun Lee, Jinwoo Shin, Chang D. Yoo:
Querying Easily Flip-flopped Samples for Deep Active Learning. ICLR 2024 - [c125]Haeyong Kang, Jaehong Yoon, Dahyun Kim, Sung Ju Hwang, Chang D. Yoo:
Progressive Fourier Neural Representation for Sequential Video Compilation. ICLR 2024 - [c124]Hee Suk Yoon, Eunseop Yoon, Joshua Tian Jin Tee, Mark A. Hasegawa-Johnson, Yingzhen Li, Chang D. Yoo:
C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion. ICLR 2024 - [c123]Trung X. Pham, Kang Zhang, Chang D. Yoo:
Cross-view Masked Diffusion Transformers for Person Image Synthesis. ICML 2024 - [c122]Sunjae Yoon, Gwanhyeong Koo, Geonwoo Kim, Chang D. Yoo:
FRAG: Frequency Adapting Group for Diffusion Video Editing. ICML 2024 - [c121]Tung Minh Luu, Thanh Nguyen, Tee Joshua Tian Jin, Sungwoon Kim, Chang D. Yoo:
Mitigating Adversarial Perturbations for Deep Reinforcement Learning via Vector Quantization. IROS 2024: 595-602 - [c120]Tung Minh Luu, Donghoon Lee, Chang D. Yoo:
Predictive Coding for Decision Transformer. IROS 2024: 7469-7476 - [i70]Seong Jin Cho, Gwangsu Kim, Junghyun Lee, Jinwoo Shin, Chang D. Yoo:
Querying Easily Flip-flopped Samples for Deep Active Learning. CoRR abs/2401.09787 (2024) - [i69]Gwanhyeong Koo, Sunjae Yoon, Chang D. Yoo:
Wavelet-Guided Acceleration of Text Inversion in Diffusion-Based Image Editing. CoRR abs/2401.09794 (2024) - [i68]Trung X. Pham, Kang Zhang, Chang D. Yoo:
Cross-view Masked Diffusion Transformers for Person Image Synthesis. CoRR abs/2402.01516 (2024) - [i67]Hee Suk Yoon, Eunseop Yoon, Joshua Tian Jin Tee, Mark Hasegawa-Johnson, Yingzhen Li, Chang D. Yoo:
C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion. CoRR abs/2403.14119 (2024) - [i66]Thanh Xuan Nguyen, Tung Minh Luu, Tri Ton, Chang D. Yoo:
Towards Robust Policy: Enhancing Offline Reinforcement Learning with Adversarial Attacks and Defenses. CoRR abs/2405.11206 (2024) - [i65]Sunjae Yoon, Gwanhyeong Koo, Geonwoo Kim, Chang D. Yoo:
FRAG: Frequency Adapting Group for Diffusion Video Editing. CoRR abs/2406.06044 (2024) - [i64]Junrui Ni, Liming Wang, Yang Zhang, Kaizhi Qian, Heting Gao, Mark Hasegawa-Johnson, Chang D. Yoo:
Towards Unsupervised Speech Recognition Without Pronunciation Models. CoRR abs/2406.08380 (2024) - [i63]Eunseop Yoon, Hee Suk Yoon, SooHwan Eom, Gunsoo Han, Daniel Wontae Nam, Daejin Jo, Kyoung-Woon On, Mark A. Hasegawa-Johnson, Sungwoong Kim, Chang D. Yoo:
TLCR: Token-Level Continuous Reward for Fine-grained Reinforcement Learning from Human Feedback. CoRR abs/2407.16574 (2024) - [i62]Gwanhyeong Koo, Sunjae Yoon, Ji Woo Hong, Chang D. Yoo:
FlexiEdit: Frequency-Aware Latent Refinement for Enhanced Non-Rigid Editing. CoRR abs/2407.17850 (2024) - [i61]Tung Minh Luu, Haeyong Kang, Tri Ton, Thanh Nguyen, Chang D. Yoo:
On the Perturbed States for Transformed Input-robust Reinforcement Learning. CoRR abs/2408.00023 (2024) - [i60]Eunseop Yoon, Hee Suk Yoon, John B. Harvill, Mark Hasegawa-Johnson, Chang D. Yoo:
LI-TTA: Language Informed Test-Time Adaptation for Automatic Speech Recognition. CoRR abs/2408.05769 (2024) - [i59]Hee Suk Yoon, Eunseop Yoon, Joshua Tian Jin Tee, Kang Zhang, Yu-Jung Heo, Du-Seong Chang, Chang D. Yoo:
BI-MDRG: Bridging Image History in Multimodal Dialogue Response Generation. CoRR abs/2408.05926 (2024) - [i58]Tri Ton, Ji Woo Hong, SooHwan Eom, Jun Yeop Shim, Junyeong Kim, Chang D. Yoo:
Zero-Shot Dual-Path Integration Framework for Open-Vocabulary 3D Instance Segmentation. CoRR abs/2408.08591 (2024) - [i57]Sunjae Yoon, Gwanhyeong Koo, Ji Woo Hong, Chang D. Yoo:
DNI: Dilutional Noise Initialization for Diffusion Video Editing. CoRR abs/2409.13037 (2024) - [i56]Trung X. Pham, Tri Ton, Chang D. Yoo:
MDSGen: Fast and Efficient Masked Diffusion Temporal-Aware Transformers for Open-Domain Sound Generation. CoRR abs/2410.02130 (2024) - [i55]Tung Minh Luu, Thanh Nguyen, Tee Joshua Tian Jin, Sungwoon Kim, Chang D. Yoo:
Mitigating Adversarial Perturbations for Deep Reinforcement Learning via Vector Quantization. CoRR abs/2410.03376 (2024) - [i54]Tung Minh Luu, Donghoon Lee, Chang D. Yoo:
Predictive Coding for Decision Transformer. CoRR abs/2410.03408 (2024) - [i53]Sunjae Yoon, Gwanhyeong Koo, Younghwan Lee, Chang D. Yoo:
TPC: Test-time Procrustes Calibration for Diffusion-based Human Image Animation. CoRR abs/2410.24037 (2024) - [i52]Joshua Tian Jin Tee, Kang Zhang, Hee Suk Yoon, Dhananjaya N. Gowda, Chanwoo Kim, Chang D. Yoo:
Physics Informed Distillation for Diffusion Models. CoRR abs/2411.08378 (2024) - [i51]Haeyong Kang, Chang D. Yoo:
Soft-TransFormers for Continual Learning. CoRR abs/2411.16073 (2024) - 2023
- [j43]Thanh Xuan Nguyen, Trung Xuan Pham, Chaoning Zhang, Tung Minh Luu, Thang Vu, Chang D. Yoo:
DimCL: Dimensional Contrastive Learning for Improving Self-Supervised Learning. IEEE Access 11: 21534-21545 (2023) - [j42]Ji Woo Hong, Sunjae Yoon, Junyeong Kim, Chang D. Yoo:
Joint Path Alignment Framework for 3D Human Pose and Shape Estimation From Video. IEEE Access 11: 43267-43275 (2023) - [j41]Trung Xuan Pham, Axi Niu, Kang Zhang, Joshua Tian Jin Tee, Ji Woo Hong, Chang D. Yoo:
Self-Supervised Visual Representation Learning via Residual Momentum. IEEE Access 11: 116706-116720 (2023) - [j40]Haeyong Kang, Chang D. Yoo:
Skew Class-Balanced Re-Weighting for Unbiased Scene Graph Generation. Mach. Learn. Knowl. Extr. 5(1): 287-303 (2023) - [j39]EunMi Shin, Chang D. Yoo:
Efficient Convolutional Neural Networks for Semiconductor Wafer Bin Map Classification. Sensors 23(4): 1926 (2023) - [c119]Liming Wang, Mark Hasegawa-Johnson, Chang Dong Yoo:
A Theory of Unsupervised Speech Recognition. ACL (1) 2023: 1192-1215 - [c118]Liming Wang, Junrui Ni, Heting Gao, Jialu Li, Kai Chieh Chang, Xulin Fan, Junkai Wu, Mark Hasegawa-Johnson, Chang Dong Yoo:
Listen, Decipher and Sign: Toward Unsupervised Speech-to-Sign Language Recognition. ACL (Findings) 2023: 6785-6800 - [c117]Eunseop Yoon, Hee Suk Yoon, John B. Harvill, Mark Hasegawa-Johnson, Chang Dong Yoo:
INTapt: Information-Theoretic Adversarial Prompt Tuning for Enhanced Non-Native Speech Recognition. ACL (Findings) 2023: 9893-9902 - [c116]Gunsoo Han, Daejin Jo, Daniel Wontae Nam, Eunseop Yoon, Taehwan Kwon, Seungeun Rho, Kyoung-Woon On, Chang Dong Yoo, Sungwoong Kim:
Efficient Latent Variable Modeling for Knowledge-Grounded Dialogue Generation. EMNLP (Findings) 2023: 2683-2702 - [c115]Sunjae Yoon, Dahyun Kim, Eunseop Yoon, Hee Suk Yoon, Junyeong Kim, Chang Dong Yoo:
HEAR: Hearing Enhanced Audio Response for Video-grounded Dialogue. EMNLP (Findings) 2023: 11911-11924 - [c114]Sunjae Yoon, Ji Woo Hong, SooHwan Eom, Hee Suk Yoon, Eunseop Yoon, Daehyeok Kim, Junyeong Kim, Chanwoo Kim, Chang D. Yoo:
Counterfactual Two-Stage Debiasing For Video Corpus Moment Retrieval. ICASSP 2023: 1-5 - [c113]Sunjae Yoon, Gwanhyeong Koo, Dahyun Kim, Chang D. Yoo:
SCANet: Scene Complexity Aware Network for Weakly-Supervised Video Moment Retrieval. ICCV 2023: 13530-13540 - [c112]Haeyong Kang, Jaehong Yoon, Sultan Rizky Hikmawan Madjid, Sung Ju Hwang, Chang D. Yoo:
On the Soft-Subnetwork for Few-Shot Class Incremental Learning. ICLR 2023 - [c111]Hee Suk Yoon, Joshua Tian Jin Tee, Eunseop Yoon, Sunjae Yoon, Gwangsu Kim, Yingzhen Li, Chang D. Yoo:
ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure. ICLR 2023 - [c110]Eunseop Yoon, Hee Suk Yoon, Dhananjaya Gowda, SooHwan Eom, Daehyeok Kim, John B. Harvill, Heting Gao, Mark Hasegawa-Johnson, Chanwoo Kim, Chang D. Yoo:
Mitigating the Exposure Bias in Sentence-Level Grapheme-to-Phoneme (G2P) Transduction. INTERSPEECH 2023: 2028-2032 - [c109]John B. Harvill, Mark Hasegawa-Johnson, Hee Suk Yoon, Chang D. Yoo, Eunseop Yoon:
One-Shot Exemplification Modeling via Latent Sense Representations. RepL4NLP@ACL 2023: 303-314 - [i50]Haeyong Kang, Chang D. Yoo:
Skew Class-balanced Re-weighting for Unbiased Scene Graph Generation. CoRR abs/2301.00351 (2023) - [i49]Hee Suk Yoon, Joshua Tian Jin Tee, Eunseop Yoon, Sunjae Yoon, Gwangsu Kim, Yingzhen Li, Chang D. Yoo:
ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure. CoRR abs/2303.02472 (2023) - [i48]Haeyong Kang, Chang D. Yoo, Yongcheon Na:
Maximum margin learning of t-SPNs for cell classification with filtered input. CoRR abs/2303.09065 (2023) - [i47]Haeyong Kang, Jaehong Yoon, Sultan Rizky Hikmawan Madjid, Sung Ju Hwang, Chang D. Yoo:
Forget-free Continual Learning with Soft-Winning SubNetworks. CoRR abs/2303.14962 (2023) - [i46]Eunseop Yoon, Hee Suk Yoon, John B. Harvill, Mark Hasegawa-Johnson, Chang D. Yoo:
INTapt: Information-Theoretic Adversarial Prompt Tuning for Enhanced Non-Native Speech Recognition. CoRR abs/2305.16371 (2023) - [i45]Liming Wang, Mark A. Hasegawa-Johnson, Chang D. Yoo:
A Theory of Unsupervised Speech Recognition. CoRR abs/2306.07926 (2023) - [i44]Haeyong Kang, Dahyun Kim, Jaehong Yoon, Sung Ju Hwang, Chang D. Yoo:
Progressive Neural Representation for Sequential Video Compilation. CoRR abs/2306.11305 (2023) - [i43]Eunseop Yoon, Hee Suk Yoon, Dhananjaya Gowda, SooHwan Eom, Daehyeok Kim, John B. Harvill, Heting Gao, Mark Hasegawa-Johnson, Chanwoo Kim, Chang D. Yoo:
Mitigating the Exposure Bias in Sentence-Level Grapheme-to-Phoneme (G2P) Transduction. CoRR abs/2308.08442 (2023) - [i42]Thanh Xuan Nguyen, Trung X. Pham, Chaoning Zhang, Tung Minh Luu, Thang Vu, Chang D. Yoo:
DimCL: Dimensional Contrastive Learning For Improving Self-Supervised Learning. CoRR abs/2309.11782 (2023) - [i41]Liming Wang, Mark Hasegawa-Johnson, Chang D. Yoo:
Unsupervised Speech Recognition with N-Skipgram and Positional Unigram Matching. CoRR abs/2310.02382 (2023) - [i40]Sunjae Yoon, Gwanhyeong Koo, Dahyun Kim, Chang D. Yoo:
SCANet: Scene Complexity Aware Network for Weakly-Supervised Video Moment Retrieval. CoRR abs/2310.05241 (2023) - [i39]Axi Niu, Kang Zhang, Joshua Tian Jin Tee, Trung X. Pham, Jinqiu Sun, Chang D. Yoo, In So Kweon, Yanning Zhang:
DifAugGAN: A Practical Diffusion-style Data Augmentation for GAN-based Single Image Super-resolution. CoRR abs/2311.18508 (2023) - [i38]Sunghun Kang, Junbum Cha, Jonghwan Mun, Byungseok Roh, Chang D. Yoo:
Learning Pseudo-Labeler beyond Noun Concepts for Open-Vocabulary Object Detection. CoRR abs/2312.02103 (2023) - [i37]Seoyun Yang, Sojeong Song, Chang D. Yoo, Junmo Kim:
Flexible Cross-Modal Steganography via Implicit Representations. CoRR abs/2312.05496 (2023) - [i36]Hyun Ryu, Sunjae Yoon, Hee Suk Yoon, Eunseop Yoon, Chang D. Yoo:
SimPSI: A Simple Strategy to Preserve Spectral Information in Time Series Data Augmentation. CoRR abs/2312.05790 (2023) - [i35]Sunjae Yoon, Gwanhyeong Koo, Ji Woo Hong, Chang D. Yoo:
Neutral Editing Framework for Diffusion-based Video Editing. CoRR abs/2312.06708 (2023) - [i34]Sunjae Yoon, Dahyun Kim, Eunseop Yoon, Hee Suk Yoon, Junyeong Kim, Chang D. Yoo:
HEAR: Hearing Enhanced Audio Response for Video-grounded Dialogue. CoRR abs/2312.09736 (2023) - [i33]Haeyong Kang, Jaehong Yoon, Sung Ju Hwang, Chang D. Yoo:
Continual Learning: Forget-free Winning Subnetworks for Video Representations. CoRR abs/2312.11973 (2023) - 2022
- [j38]Gwangsu Kim, Chang D. Yoo, Seong J. Yang:
Survival Analysis of COVID-19 Patients With Symptoms Information by Machine Learning Algorithms. IEEE Access 10: 62282-62291 (2022) - [j37]Sunjae Yoon, Dahyun Kim, Junyeong Kim, Chang D. Yoo:
Cascaded MPN: Cascaded Moment Proposal Network for Video Corpus Moment Retrieval. IEEE Access 10: 64560-64568 (2022) - [j36]Tung Minh Luu, Thanh Xuan Nguyen, Thang Vu, Chang D. Yoo:
Utilizing Skipped Frames in Action Repeats for Improving Sample Efficiency in Reinforcement Learning. IEEE Access 10: 64965-64975 (2022) - [j35]Gwangsu Kim, Chang D. Yoo:
Blending Query Strategy of Active Learning for Imbalanced Data. IEEE Access 10: 79526-79542 (2022) - [j34]Gwangsu Kim, Chang D. Yoo:
Corrections to "Blending Query Strategy of Active Learning for Imbalanced Data". IEEE Access 10: 111909 (2022) - [j33]Trung Xuan Pham, Jin Woong Choi, Rusty John Lloyd Mina, Thanh Xuan Nguyen, Sultan Rizky Hikmawan Madjid, Chang D. Yoo:
LAD: A Hybrid Deep Learning System for Benign Paroxysmal Positional Vertigo Disorders Diagnostic. IEEE Access 10: 113995-114007 (2022) - [j32]Sunghun Kang, Gwangsu Kim, Chang D. Yoo:
Fair Facial Attribute Classification via Causal Graph-Based Attribute Translation. Sensors 22(14): 5271 (2022) - [j31]Sunjae Yoon, Dahyun Kim, Ji Woo Hong, Junyeong Kim, Chang D. Yoo:
Dual-Scale Doppler Attention for Human Identification. Sensors 22(17): 6363 (2022) - [j30]Tung Minh Luu, Thang Vu, Thanh Xuan Nguyen, Chang D. Yoo:
Visual Pretraining via Contrastive Predictive Model for Pixel-Based Reinforcement Learning. Sensors 22(17): 6504 (2022) - [j29]Junyeong Kim, Ji Woo Hong, Sunjae Yoon, Chang D. Yoo:
CE-BART: Cause-and-Effect BART for Visual Commonsense Generation. Sensors 22(23): 9399 (2022) - [j28]Heting Gao, Xiaoxuan Wang, Sunghun Kang, Rusty Mina, Dias Issa, John B. Harvill, Leda Sari, Mark Hasegawa-Johnson, Chang D. Yoo:
Seamless equal accuracy ratio for inclusive CTC speech recognition. Speech Commun. 136: 76-83 (2022) - [c108]Junghyun Lee, Gwangsu Kim, Mahbod Olfat, Mark Hasegawa-Johnson, Chang D. Yoo:
Fast and Efficient MMD-Based Fair PCA via Optimization over Stiefel Manifold. AAAI 2022: 7363-7371 - [c107]Liming Wang, Siyuan Feng, Mark Hasegawa-Johnson, Chang Dong Yoo:
Self-supervised Semantic-driven Phoneme Discovery for Zero-resource Speech Recognition. ACL (1) 2022: 8027-8047 - [c106]Thang Vu, Kookhoi Kim, Tung Minh Luu, Thanh Xuan Nguyen, Chang D. Yoo:
SoftGroup for 3D Instance Segmentation on Point Clouds. CVPR 2022: 2698-2707 - [c105]Chaoning Zhang, Kang Zhang, Trung X. Pham, Axi Niu, Zhinan Qiao, Chang D. Yoo, In So Kweon:
Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo. CVPR 2022: 14421-14430 - [c104]Sunjae Yoon, Ji Woo Hong, Eunseop Yoon, Dahyun Kim, Junyeong Kim, Hee Suk Yoon, Chang D. Yoo:
Selective Query-Guided Debiasing for Video Corpus Moment Retrieval. ECCV (36) 2022: 185-200 - [c103]Chaoning Zhang, Kang Zhang, Chenshuang Zhang, Axi Niu, Jiu Feng, Chang D. Yoo, In So Kweon:
Decoupled Adversarial Contrastive Learning for Self-supervised Adversarial Robustness. ECCV (30) 2022: 725-742 - [c102]Hee Suk Yoon, Eunseop Yoon, John B. Harvill, Sunjae Yoon, Mark Hasegawa-Johnson, Chang Dong Yoo:
SMSMix: Sense-Maintained Sentence Mixup for Word Sense Disambiguation. EMNLP (Findings) 2022: 1493-1502 - [c101]Sunjae Yoon, Eunseop Yoon, Hee Suk Yoon, Junyeong Kim, Chang Dong Yoo:
Information-Theoretic Text Hallucination Reduction for Video-grounded Dialogue. EMNLP 2022: 4182-4193 - [c100]Dahyun Kim, Sunjae Yoon, Ji Woo Hong, Chang D. Yoo:
Semantic Association Network for Video Corpus Moment Retrieval. ICASSP 2022: 1720-1724 - [c99]Chaoning Zhang, Kang Zhang, Chenshuang Zhang, Trung X. Pham, Chang D. Yoo, In So Kweon:
How Does SimSiam Avoid Collapse Without Negative Samples? A Unified Understanding with Self-supervised Contrastive Learning. ICLR 2022 - [c98]Haeyong Kang, Rusty John Lloyd Mina, Sultan Rizky Hikmawan Madjid, Jaehong Yoon, Mark Hasegawa-Johnson, Sung Ju Hwang, Chang D. Yoo:
Forget-free Continual Learning with Winning Subnetworks. ICML 2022: 10734-10750 - [c97]John B. Harvill, Mark Hasegawa-Johnson, Chang D. Yoo:
Frame-Level Stutter Detection. INTERSPEECH 2022: 2843-2847 - [i32]Chaoning Zhang, Kang Zhang, Axi Niu, Chenshuang Zhang, Jiu Feng, Chang D. Yoo, In So Kweon:
Noise Augmentation Is All You Need For FGSM Fast Adversarial Training: Catastrophic Overfitting And Robust Overfitting Require Different Augmentation. CoRR abs/2202.05488 (2022) - [i31]Thang Vu, Kookhoi Kim, Tung Minh Luu, Xuan Thanh Nguyen, Chang D. Yoo:
SoftGroup for 3D Instance Segmentation on Point Clouds. CoRR abs/2203.01509 (2022) - [i30]Chaoning Zhang, Kang Zhang, Chenshuang Zhang, Trung X. Pham, Chang D. Yoo, In So Kweon:
How Does SimSiam Avoid Collapse Without Negative Samples? A Unified Understanding with Self-supervised Contrastive Learning. CoRR abs/2203.16262 (2022) - [i29]Chaoning Zhang, Kang Zhang, Trung X. Pham, Axi Niu, Zhinan Qiao, Chang D. Yoo, In So Kweon:
Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo. CoRR abs/2203.17248 (2022) - [i28]Haeyong Kang, Thang Vu, Chang D. Yoo:
Learning Imbalanced Datasets with Maximum Margin Loss. CoRR abs/2206.05380 (2022) - [i27]Chaoning Zhang, Kang Zhang, Chenshuang Zhang, Axi Niu, Jiu Feng, Chang D. Yoo, In So Kweon:
Decoupled Adversarial Contrastive Learning for Self-supervised Adversarial Robustness. CoRR abs/2207.10899 (2022) - [i26]Trung X. Pham, Chaoning Zhang, Axi Niu, Kang Zhang, Chang D. Yoo:
On the Pros and Cons of Momentum Encoder in Self-Supervised Visual Representation Learning. CoRR abs/2208.05744 (2022) - [i25]Haeyong Kang, Jaehong Yoon, Sultan Rizky Hikmawan Madjid, Sung Ju Hwang, Chang D. Yoo:
On the Soft-Subnetwork for Few-shot Class Incremental Learning. CoRR abs/2209.07529 (2022) - [i24]Thang Vu, Kookhoi Kim, Tung Minh Luu, Thanh Xuan Nguyen, Junyeong Kim, Chang D. Yoo:
SoftGroup++: Scalable 3D Instance Segmentation with Octree Pyramid Grouping. CoRR abs/2209.08263 (2022) - [i23]Trung Xuan Pham, Jin Woong Choi, Rusty John Lloyd Mina, Thanh Xuan Nguyen, Sultan Rizky Hikmawan Madjid, Chang Dong Yoo:
LAD: A Hybrid Deep Learning System for Benign Paroxysmal Positional Vertigo Disorders Diagnostic. CoRR abs/2210.08282 (2022) - [i22]Sunjae Yoon, Ji Woo Hong, Eunseop Yoon, Dahyun Kim, Junyeong Kim, Hee Suk Yoon, Chang D. Yoo:
Selective Query-guided Debiasing Network for Video Corpus Moment Retrieval. CoRR abs/2210.08714 (2022) - [i21]Trung X. Pham, Axi Niu, Kang Zhang, Sultan Rizky Hikmawan Madjid, Ji Woo Hong, Daehyeok Kim, Joshua Tian Jin Tee, Chang D. Yoo:
Self-Supervised Visual Representation Learning via Residual Momentum. CoRR abs/2211.09861 (2022) - [i20]Sunjae Yoon, Eunseop Yoon, Hee Suk Yoon, Junyeong Kim, Chang D. Yoo:
Information-Theoretic Text Hallucination Reduction for Video-grounded Dialogue. CoRR abs/2212.05765 (2022) - [i19]Hee Suk Yoon, Eunseop Yoon, John B. Harvill, Sunjae Yoon, Mark Hasegawa-Johnson, Chang D. Yoo:
SMSMix: Sense-Maintained Sentence Mixup for Word Sense Disambiguation. CoRR abs/2212.07072 (2022) - 2021
- [j27]Tung Minh Luu, Chang D. Yoo:
Hindsight Goal Ranking on Replay Buffer for Sparse Reward Environment. IEEE Access 9: 51996-52007 (2021) - [j26]Leda Sari, Mark Hasegawa-Johnson, Chang D. Yoo:
Counterfactually Fair Automatic Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 29: 3515-3525 (2021) - [c96]Junyeong Kim, Sunjae Yoon, Dahyun Kim, Chang D. Yoo:
Structured Co-reference Graph Attention for Video-grounded Dialogue. AAAI 2021: 1789-1797 - [c95]