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2020 – today
- 2023
[j23]GiJae Lee
, Jun-Sik Kim, Seungryong Kim, Kanggeon Kim:
6D Object Pose Estimation Using a Particle Filter With Better Initialization. IEEE Access 11: 11451-11462 (2023)- [c65]Jaehoon Ko, Kyusun Cho, Daewon Choi, Kwangrok Ryoo, Seungryong Kim:
3D GAN Inversion with Pose Optimization. WACV 2023: 2966-2975 - [i53]Jungwoo Lim, Myunghoon Kang, Yuna Hur, Seungwon Jung, Jinsung Kim, Yoonna Jang, Dongyub Lee, Hyesung Ji, Dong-Hoon Shin, Seungryong Kim, Heuiseok Lim:
You Truly Understand What I Need: Intellectual and Friendly Dialogue Agents grounding Knowledge and Persona. CoRR abs/2301.02401 (2023) - [i52]Minseop Kwak, Jiuhn Song, Seungryong Kim:
GeCoNeRF: Few-shot Neural Radiance Fields via Geometric Consistency. CoRR abs/2301.10941 (2023) - [i51]Junyoung Seo, Wooseok Jang, Minseop Kwak, Jaehoon Ko, Hyeonsu Kim, Junho Kim, Jin-Hwa Kim, Jiyoung Lee, Seungryong Kim:
Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation. CoRR abs/2303.07937 (2023) - [i50]SeokYeong Lee, Junyong Choi, Seungryong Kim, Ig-Jae Kim, Junghyun Cho:
ExtremeNeRF: Few-shot Neural Radiance Fields Under Unconstrained Illumination. CoRR abs/2303.11728 (2023) - [i49]Seokju Cho, Heeseong Shin, Sunghwan Hong, Seungjun An, Seungjun Lee, Anurag Arnab, Paul Hongsuck Seo, Seungryong Kim:
CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation. CoRR abs/2303.11797 (2023) - 2022
- [j22]Daehwan Kim, Daun Jeong, Hyungmin Kim, Kibong Chong, Seungryong Kim, Hansang Cho:
Spatial Contrastive Learning for Anomaly Detection and Localization. IEEE Access 10: 17366-17376 (2022) - [j21]Matteo Poggi, Seungryong Kim, Fabio Tosi, Sunok Kim, Filippo Aleotti, Dongbo Min, Kwanghoon Sohn, Stefano Mattoccia:
On the Confidence of Stereo Matching in a Deep-Learning Era: A Quantitative Evaluation. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5293-5313 (2022) - [j20]Sangryul Jeon, Seungryong Kim, Dongbo Min, Kwanghoon Sohn:
Pyramidal Semantic Correspondence Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9102-9118 (2022) - [j19]Jaehoon Cho, Seungryong Kim, Kwanghoon Sohn:
Memory-Guided Image De-Raining Using Time-Lapse Data. IEEE Trans. Image Process. 31: 4090-4103 (2022) - [c64]Sunwoo Kim, Soohyun Kim, Seungryong Kim:
Deep Translation Prior: Test-Time Training for Photorealistic Style Transfer. AAAI 2022: 1183-1191 - [c63]Yoonna Jang, Jungwoo Lim, Yuna Hur, Dongsuk Oh, Suhyune Son, Yeonsoo Lee, Dong-Hoon Shin, Seungryong Kim, Heuiseok Lim:
Call for Customized Conversation: Customized Conversation Grounding Persona and Knowledge. AAAI 2022: 10803-10812 - [c62]Soohyun Kim, Jongbeom Baek, Jihye Park, Gyeongnyeon Kim, Seungryong Kim:
InstaFormer: Instance-Aware Image-to-Image Translation with Transformer. CVPR 2022: 18300-18310 - [c61]Jiwon Kim, Kwangrok Ryoo, Junyoung Seo, Gyuseong Lee, Daehwan Kim, Hansang Cho, Seungryong Kim:
Semi-Supervised Learning of Semantic Correspondence with Pseudo-Labels. CVPR 2022: 19667-19677 - [c60]Sunghwan Hong, Seokju Cho, Jisu Nam, Stephen Lin, Seungryong Kim:
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation. ECCV (29) 2022: 108-126 - [c59]Jiwon Kim, Youngjo Min, Daehwan Kim, Gyuseong Lee, Junyoung Seo, Kwangrok Ryoo, Seungryong Kim:
ConMatch: Semi-supervised Learning with Confidence-Guided Consistency Regularization. ECCV (30) 2022: 674-690 - [c58]Yunsung Lee, Gyuseong Lee, Kwangrok Ryoo, Hyojun Go, Jihye Park, Seungryong Kim:
Towards Flexible Inductive Bias via Progressive Reparameterization Scheduling. ECCV Workshops (4) 2022: 706-720 - [c57]Jungwoo Lim, Myunghoon Kang, Yuna Hur, Seung Won Jeong, Jinsung Kim, Yoonna Jang, Dongyub Lee, Hyesung Ji, Dong-Hoon Shin, Seungryong Kim, Heuiseok Lim:
You Truly Understand What I Need : Intellectual and Friendly Dialog Agents grounding Persona and Knowledge. EMNLP (Findings) 2022: 1053-1066 - [c56]Jiwon Kim, Youngjo Min, Mira Kim, Seungryong Kim:
Joint Learning of Feature Extraction and Cost Aggregation for Semantic Correspondence. ICASSP 2022: 3408-3412 - [c55]Mira Kim, Youngjo Min, Jiwon Kim, Seungryong Kim:
Meta-Learned Initialization For 3D Human Recovery. ICIP 2022: 4238-4242 - [c54]Jongbeom Baek, Gyeongnyeon Kim, Seungryong Kim:
Semi-Supervised Learning with Mutual Distillation for Monocular Depth Estimation. ICRA 2022: 4562-4569 - [c53]Seungryong Kim, Matteo Poggi, Sunok Kim, Kwanghoon Sohn, Stefano Mattoccia:
Meta-confidence estimation for stereo matching. ICRA 2022: 10624-10631 - [i48]Jaehoon Cho, Seungryong Kim, Kwanghoon Sohn:
Memory-guided Image De-raining Using Time-Lapse Data. CoRR abs/2201.01883 (2022) - [i47]Jiwon Kim, Kwangrok Ryoo, Gyuseong Lee, Seokju Cho, Junyoung Seo, Daehwan Kim, Hansang Cho, Seungryong Kim:
AggMatch: Aggregating Pseudo Labels for Semi-Supervised Learning. CoRR abs/2201.10444 (2022) - [i46]Seokju Cho, Sunghwan Hong, Seungryong Kim:
CATs++: Boosting Cost Aggregation with Convolutions and Transformers. CoRR abs/2202.06817 (2022) - [i45]Jongbeom Baek, Gyeongnyeon Kim, Seungryong Kim:
Semi-Supervised Learning with Mutual Distillation for Monocular Depth Estimation. CoRR abs/2203.09737 (2022) - [i44]Jiwon Kim, Kwangrok Ryoo, Junyoung Seo, Gyuseong Lee, Daehwan Kim, Hansang Cho, Seungryong Kim:
Semi-Supervised Learning of Semantic Correspondence with Pseudo-Labels. CoRR abs/2203.16038 (2022) - [i43]Soohyun Kim, Jongbeom Baek, Jihye Park, Gyeongnyeon Kim, Seungryong Kim:
InstaFormer: Instance-Aware Image-to-Image Translation with Transformer. CoRR abs/2203.16248 (2022) - [i42]Jiwon Kim, Youngjo Min, Mira Kim, Seungryong Kim:
Joint Learning of Feature Extraction and Cost Aggregation for Semantic Correspondence. CoRR abs/2204.02164 (2022) - [i41]Mira Kim, Jaehoon Ko, Kyusun Cho, Junmyeong Choi, Daewon Choi, Seungryong Kim:
AE-NeRF: Auto-Encoding Neural Radiance Fields for 3D-Aware Object Manipulation. CoRR abs/2204.13426 (2022) - [i40]Sunghwan Hong, Seokju Cho, Jisu Nam, Stephen Lin, Seungryong Kim:
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation. CoRR abs/2207.10866 (2022) - [i39]Jiwon Kim, Youngjo Min, Daehwan Kim, Gyuseong Lee, Junyoung Seo, Kwangrok Ryoo, Seungryong Kim:
ConMatch: Semi-Supervised Learning with Confidence-Guided Consistency Regularization. CoRR abs/2208.08631 (2022) - [i38]Jihye Park, Soohyun Kim, Sunwoo Kim, Jaejun Yoo, Youngjung Uh, Seungryong Kim:
LANIT: Language-Driven Image-to-Image Translation for Unlabeled Data. CoRR abs/2208.14889 (2022) - [i37]Sunghwan Hong, Seokju Cho, Seungryong Kim, Stephen Lin:
Integrative Feature and Cost Aggregation with Transformers for Dense Correspondence. CoRR abs/2209.08742 (2022) - [i36]Junyoung Seo, Gyuseong Lee, Seokju Cho, Jiyoung Lee, Seungryong Kim:
MIDMs: Matching Interleaved Diffusion Models for Exemplar-based Image Translation. CoRR abs/2209.11047 (2022) - [i35]Susung Hong, Gyuseong Lee, Wooseok Jang, Seungryong Kim:
Improving Sample Quality of Diffusion Models Using Self-Attention Guidance. CoRR abs/2210.00939 (2022) - [i34]Yunsung Lee, Gyuseong Lee, Kwangrok Ryoo, Hyojun Go, Jihye Park, Seungryong Kim:
Towards Flexible Inductive Bias via Progressive Reparameterization Scheduling. CoRR abs/2210.01370 (2022) - [i33]Sunghwan Hong, Jisu Nam, Seokju Cho, Susung Hong, Sangryul Jeon, Dongbo Min, Seungryong Kim:
Neural Matching Fields: Implicit Representation of Matching Fields for Visual Correspondence. CoRR abs/2210.02689 (2022) - [i32]Jaehoon Ko, Kyusun Cho, Daewon Choi, Kwangrok Ryoo, Seungryong Kim:
3D GAN Inversion with Pose Optimization. CoRR abs/2210.07301 (2022) - [i31]Sunwoo Kim, Youngjo Min, Younghun Jung, Seungryong Kim:
Controllable Style Transfer via Test-time Training of Implicit Neural Representation. CoRR abs/2210.07762 (2022) - [i30]Daehwan Kim, Kwangrok Ryoo, Hansang Cho, Seungryong Kim:
SplitNet: Learnable Clean-Noisy Label Splitting for Learning with Noisy Labels. CoRR abs/2211.11753 (2022) - [i29]Gyeongnyeon Kim, Wooseok Jang, Gyuseong Lee, Susung Hong, Junyoung Seo, Seungryong Kim:
DAG: Depth-Aware Guidance with Denoising Diffusion Probabilistic Models. CoRR abs/2212.08861 (2022) - [i28]Jongbeom Baek, Gyeongnyeon Kim, Seonghoon Park, Honggyu An, Matteo Poggi, Seungryong Kim:
Semi-Supervised Learning of Monocular Depth Estimation via Consistency Regularization with K-way Disjoint Masking. CoRR abs/2212.10806 (2022) - [i27]Kihong Kim, Yunho Kim, Seokju Cho, Junyoung Seo, Jisu Nam, Kychul Lee, Seungryong Kim, KwangHee Lee:
DiffFace: Diffusion-based Face Swapping with Facial Guidance. CoRR abs/2212.13344 (2022) - 2021
- [j18]Seungryong Kim, Dongbo Min, Stephen Lin, Kwanghoon Sohn:
Dense Cross-Modal Correspondence Estimation With the Deep Self-Correlation Descriptor. IEEE Trans. Pattern Anal. Mach. Intell. 43(7): 2345-2359 (2021) - [j17]Sunok Kim, Dongbo Min, Seungryong Kim, Kwanghoon Sohn:
Adversarial Confidence Estimation Networks for Robust Stereo Matching. IEEE Trans. Intell. Transp. Syst. 22(11): 6875-6889 (2021) - [c52]Minsu Kim, Sunghun Joung, Seungryong Kim, Jungin Park, Ig-Jae Kim, Kwanghoon Sohn:
Cross-Domain Grouping and Alignment for Domain Adaptive Semantic Segmentation. AAAI 2021: 1799-1807 - [c51]Yunsung Lee, Teakgyu Hong, Seungryong Kim:
Data Augmentations for Document Images. SDU@AAAI 2021 - [c50]Sangryul Jeon, Dongbo Min, Seungryong Kim, Kwanghoon Sohn:
Mining Better Samples for Contrastive Learning of Temporal Correspondence. CVPR 2021: 1034-1044 - [c49]Sungha Choi, Sanghun Jung, Huiwon Yun, Joanne Taery Kim, Seungryong Kim, Jaegul Choo:
RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whitening. CVPR 2021: 11580-11590 - [c48]Sunghun Joung, Seungryong Kim, Minsu Kim, Ig-Jae Kim, Kwanghoon Sohn:
Learning Canonical 3D Object Representation for Fine-Grained Recognition. ICCV 2021: 1015-1025 - [c47]Sunghwan Hong, Seungryong Kim:
Deep Matching Prior: Test-Time Optimization for Dense Correspondence. ICCV 2021: 9887-9897 - [c46]Hyesong Choi, Hunsang Lee, Sunkyung Kim, Sunok Kim, Seungryong Kim, Kwanghoon Sohn, Dongbo Min:
Adaptive confidence thresholding for monocular depth estimation. ICCV 2021: 12788-12798 - [c45]Seokju Cho, Sunghwan Hong, Sangryul Jeon, Yunsung Lee, Kwanghoon Sohn, Seungryong Kim:
CATs: Cost Aggregation Transformers for Visual Correspondence. NeurIPS 2021: 9011-9023 - [i26]Matteo Poggi, Seungryong Kim, Fabio Tosi, Sunok Kim, Filippo Aleotti, Dongbo Min, Kwanghoon Sohn, Stefano Mattoccia:
On the confidence of stereo matching in a deep-learning era: a quantitative evaluation. CoRR abs/2101.00431 (2021) - [i25]Sungha Choi, Sanghun Jung, Huiwon Yun, Joanne Taery Kim, Seungryong Kim, Jaegul Choo:
RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whitening. CoRR abs/2103.15597 (2021) - [i24]Bahar Aydemir, Deblina Bhattacharjee, Seungryong Kim, Tong Zhang, Mathieu Salzmann, Sabine Süsstrunk:
Modeling Object Dissimilarity for Deep Saliency Prediction. CoRR abs/2104.03864 (2021) - [i23]Seokju Cho, Sunghwan Hong, Sangryul Jeon, Yunsung Lee, Kwanghoon Sohn, Seungryong Kim:
Semantic Correspondence with Transformers. CoRR abs/2106.02520 (2021) - [i22]Sunghwan Hong, Seungryong Kim:
Deep Matching Prior: Test-Time Optimization for Dense Correspondence. CoRR abs/2106.03090 (2021) - [i21]Sunghun Joung, Seungryong Kim, Minsu Kim, Ig-Jae Kim, Kwanghoon Sohn:
Learning Canonical 3D Object Representation for Fine-Grained Recognition. CoRR abs/2108.04628 (2021) - [i20]Hojoon Lee, Dongyoon Hwang, Sunghwan Hong, Changyeon Kim, Seungryong Kim, Jaegul Choo:
MOI-Mixer: Improving MLP-Mixer with Multi Order Interactions in Sequential Recommendation. CoRR abs/2108.07505 (2021) - [i19]Yunsung Lee, Teakgyu Hong, Hancheol Cho, Junbum Cha, Seungryong Kim:
HoughCL: Finding Better Positive Pairs in Dense Self-supervised Learning. CoRR abs/2111.10794 (2021) - [i18]Sunwoo Kim, Soohyun Kim, Seungryong Kim:
Deep Translation Prior: Test-time Training for Photorealistic Style Transfer. CoRR abs/2112.06150 (2021) - [i17]Yoonna Jang, Jungwoo Lim, Yuna Hur, Dongsuk Oh, Suhyune Son, Yeonsoo Lee, Dong-Hoon Shin, Seungryong Kim, Heuiseok Lim:
Call for Customized Conversation: Customized Conversation Grounding Persona and Knowledge. CoRR abs/2112.08619 (2021) - [i16]Sunghwan Hong, Seokju Cho, Jisu Nam, Seungryong Kim:
Cost Aggregation Is All You Need for Few-Shot Segmentation. CoRR abs/2112.11685 (2021) - 2020
- [j16]Seungryong Kim, Dongbo Min, Stephen Lin, Kwanghoon Sohn:
Discrete-Continuous Transformation Matching for Dense Semantic Correspondence. IEEE Trans. Pattern Anal. Mach. Intell. 42(1): 59-73 (2020) - [j15]Jiyoung Lee, Sunok Kim, Seungryong Kim, Kwanghoon Sohn:
Multi-Modal Recurrent Attention Networks for Facial Expression Recognition. IEEE Trans. Image Process. 29: 6977-6991 (2020) - [j14]Jaehoon Cho, Seungryong Kim, Dongbo Min, Kwanghoon Sohn:
Single Image Deraining Using Time-Lapse Data. IEEE Trans. Image Process. 29: 7274-7289 (2020) - [j13]Kihong Park, Seungryong Kim, Kwanghoon Sohn:
High-Precision Depth Estimation Using Uncalibrated LiDAR and Stereo Fusion. IEEE Trans. Intell. Transp. Syst. 21(1): 321-335 (2020) - [j12]Sunghun Joung, Seungryong Kim, Kihong Park, Kwanghoon Sohn:
Unsupervised Stereo Matching Using Confidential Correspondence Consistency. IEEE Trans. Intell. Transp. Syst. 21(5): 2190-2203 (2020) - [c44]Deblina Bhattacharjee, Seungryong Kim, Guillaume Vizier, Mathieu Salzmann:
DUNIT: Detection-Based Unsupervised Image-to-Image Translation. CVPR 2020: 4786-4795 - [c43]Sunghun Joung, Seungryong Kim, Hanjae Kim, Minsu Kim, Ig-Jae Kim, Junghyun Cho, Kwanghoon Sohn:
Cylindrical Convolutional Networks for Joint Object Detection and Viewpoint Estimation. CVPR 2020: 14151-14160 - [c42]Seungryong Kim, Sabine Süsstrunk, Mathieu Salzmann:
Volumetric Transformer Networks. ECCV (28) 2020: 561-578 - [c41]Sangryul Jeon, Dongbo Min, Seungryong Kim, Jihwan Choe, Kwanghoon Sohn:
Guided Semantic Flow. ECCV (28) 2020: 631-648 - [i15]Sunghun Joung, Seungryong Kim, Hanjae Kim, Minsu Kim, Ig-Jae Kim, Junghyun Cho, Kwanghoon Sohn:
Cylindrical Convolutional Networks for Joint Object Detection and Viewpoint Estimation. CoRR abs/2003.11303 (2020) - [i14]Seungryong Kim, Sabine Süsstrunk, Mathieu Salzmann:
Volumetric Transformer Networks. CoRR abs/2007.09433 (2020) - [i13]Hyesong Choi, Hunsang Lee, Sunkyung Kim, Sunok Kim, Seungryong Kim, Dongbo Min:
Adaptive confidence thresholding for semi-supervised monocular depth estimation. CoRR abs/2009.12840 (2020) - [i12]Taewon Kang, Soohyun Kim, Sunwoo Kim, Seungryong Kim:
Online Exemplar Fine-Tuning for Image-to-Image Translation. CoRR abs/2011.09330 (2020) - [i11]Minsu Kim, Sunghun Joung, Seungryong Kim, Jungin Park, Ig-Jae Kim, Kwanghoon Sohn:
Cross-Domain Grouping and Alignment for Domain Adaptive Semantic Segmentation. CoRR abs/2012.08226 (2020)
2010 – 2019
- 2019
- [j11]Seungryong Kim, Dongbo Min, Bumsub Ham, Stephen Lin, Kwanghoon Sohn:
FCSS: Fully Convolutional Self-Similarity for Dense Semantic Correspondence. IEEE Trans. Pattern Anal. Mach. Intell. 41(3): 581-595 (2019) - [j10]Sunok Kim, Dongbo Min, Seungryong Kim, Kwanghoon Sohn:
Unified Confidence Estimation Networks for Robust Stereo Matching. IEEE Trans. Image Process. 28(3): 1299-1313 (2019) - [j9]Somi Jeong, Seungryong Kim, Kihong Park, Kwanghoon Sohn:
Learning to Find Unpaired Cross-Spectral Correspondences. IEEE Trans. Image Process. 28(11): 5394-5406 (2019) - [c40]Sunok Kim, Seungryong Kim, Dongbo Min, Kwanghoon Sohn:
LAF-Net: Locally Adaptive Fusion Networks for Stereo Confidence Estimation. CVPR 2019: 205-214 - [c39]Seungryong Kim, Dongbo Min, Somi Jeong, Sunok Kim, Sangryul Jeon, Kwanghoon Sohn:
Semantic Attribute Matching Networks. CVPR 2019: 12339-12348 - [c38]Sangryul Jeon, Dongbo Min, Seungryong Kim, Kwanghoon Sohn:
Joint Learning of Semantic Alignment and Object Landmark Detection. ICCV 2019: 7293-7302 - [c37]Jiyoung Lee, Seungryong Kim, Sunok Kim, Jungin Park, Kwanghoon Sohn:
Context-Aware Emotion Recognition Networks. ICCV 2019: 10142-10151 - [c36]Minsu Kim, Sunghun Joung, Kihong Park, Seungryong Kim, Kwanghoon Sohn:
Unpaired Cross-Spectral Pedestrian Detection Via Adversarial Feature Learning. ICIP 2019: 1650-1654 - [c35]Jungin Park, Jiyoung Lee, Sangryul Jeon, Seungryong Kim, Kwanghoon Sohn:
Graph Regularization Network with Semantic Affinity for Weakly-Supervised Temporal Action Localization. ICIP 2019: 3701-3705 - [c34]Seungryong Kim, Jeongju Bae, Chan-Su Yang:
Satellite Image-Based Ship Classification Method with Sentinel-1 Iw Mode Data. IGARSS 2019: 1300-1301 - [i10]Seungryong Kim, Dongbo Min, Somi Jeong, Sunok Kim, Sangryul Jeon, Kwanghoon Sohn:
Semantic Attribute Matching Networks. CoRR abs/1904.02969 (2019) - [i9]Jiyoung Lee, Seungryong Kim, Sunok Kim, Jungin Park, Kwanghoon Sohn:
Context-Aware Emotion Recognition Networks. CoRR abs/1908.05913 (2019) - [i8]Sangryul Jeon, Dongbo Min, Seungryong Kim, Kwanghoon Sohn:
Joint Learning of Semantic Alignment and Object Landmark Detection. CoRR abs/1910.00754 (2019) - 2018
- [j8]Kihong Park, Seungryong Kim, Kwanghoon Sohn:
Unified multi-spectral pedestrian detection based on probabilistic fusion networks. Pattern Recognit. 80: 143-155 (2018) - [c33]Sungil Choi, Seungryong Kim, Kihong Park, Kwanghoon Sohn:
Learning Descriptor, Confidence, and Depth Estimation in Multi-View Stereo. CVPR Workshops 2018: 276-282 - [c32]Sangryul Jeon, Seungryong Kim, Dongbo Min, Kwanghoon Sohn:
PARN: Pyramidal Affine Regression Networks for Dense Semantic Correspondence. ECCV (6) 2018: 355-371 - [c31]Jiyoung Lee, Sunok Kim, Seungryong Kim, Kwanghoon Sohn:
Spatiotemporal Attention Based Deep Neural Networks for Emotion Recognition. ICASSP 2018: 1513-1517 - [c30]Kihong Park, Seungryong Kim, Kwanghoon Sohn:
High-Precision Depth Estimation with the 3D LiDAR and Stereo Fusion. ICRA 2018: 2156-2163 - [c29]Jungin Park, Sangryul Jeon, Seungryong Kim, Jiyoung Lee, Sunok Kim, Kwanghoon Sohn:
Learning to Detect, Associate, and Recognize Human Actions and Surrounding Scenes in Untrimmed Videos. CoVieW@MM 2018: 21-26 - [c28]Jiyoung Lee, Sunok Kim, Seungryong Kim, Kwanghoon Sohn:
Audio-Visual Attention Networks for Emotion Recognition. AVSU@MM 2018: 27-32 - [c27]Kwanghoon Sohn, Ming-Hsuan Yang, Hyeran Byun, Jongwoo Lim, Jison Hsu, Stephen Lin, Euntai Kim, Seungryong Kim:
CoVieW'18: The 1st Workshop and Challenge on Comprehensive Video Understanding in the Wild. ACM Multimedia 2018: 2113-2115 - [c26]Seungryong Kim, Stephen Lin, Sangryul Jeon, Dongbo Min, Kwanghoon Sohn:
Recurrent Transformer Networks for Semantic Correspondence. NeurIPS 2018: 6129-6139 - [i7]Sangryul Jeon, Seungryong Kim, Dongbo Min, Kwanghoon Sohn:
PARN: Pyramidal Affine Regression Networks for Dense Semantic Correspondence. CoRR abs/1807.02939 (2018) - [i6]Seungryong Kim, Stephen Lin, Sangryul Jeon, Dongbo Min, Kwanghoon Sohn:
Recurrent Transformer Networks for Semantic Correspondence. CoRR abs/1810.12155 (2018) - 2017
- [j7]Seungryong Kim, Dongbo Min, Bumsub Ham, Minh N. Do, Kwanghoon Sohn:
DASC: Robust Dense Descriptor for Multi-Modal and Multi-Spectral Correspondence Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 39(9): 1712-1729 (2017) - [j6]Seungchul Ryu, Seungryong Kim, Kwanghoon Sohn:
LAT: Local area transform for cross modal correspondence matching. Pattern Recognit. 63: 218-228 (2017) - [j5]Seungryong Kim, Rui Cai, Kihong Park, Sunok Kim, Kwanghoon Sohn:
Modality-Invariant Image Classification Based on Modality Uniqueness and Dictionary Learning. IEEE Trans. Image Process. 26(2): 884-899 (2017) - [j4]Sunok Kim, Dongbo Min, Seungryong Kim, Kwanghoon Sohn:
Feature Augmentation for Learning Confidence Measure in Stereo Matching. IEEE Trans. Image Process. 26(12): 6019-6033 (2017) - [c25]Seungryong Kim, Chorwon Kim, JongWon Kim:
Reliable smart energy IoT-cloud service operation with container orchestration. APNOMS 2017: 378-381 - [c24]Chorwon Kim, Seungryong Kim, JongWon Kim:
Understanding Automated Continuous Integration for Containerized Smart Energy IoT-Cloud Service. CSA/CUTE 2017: 1275-1280 - [c23]Seungryong Kim, Dongbo Min, Bumsub Ham, Sangryul Jeon, Stephen Lin, Kwanghoon Sohn:
FCSS: Fully Convolutional Self-Similarity for Dense Semantic Correspondence. CVPR 2017: 616-625 - [c22]Seungryong Kim, Dongbo Min, Stephen Lin, Kwanghoon Sohn:
DCTM: Discrete-Continuous Transformation Matching for Semantic Flow. ICCV 2017: 4539-4548 - [c21]Sunok Kim, Dongbo Min, Bumsub Ham, Seungryong Kim, Kwanghoon Sohn:
Deep stereo confidence prediction for depth estimation. ICIP 2017: 992-996 - [c20]Sangryul Jeon, Seungryong Kim, Kwanghoon Sohn:
Convolutional feature pyramid fusion via attention network. ICIP 2017: 1007-1011 - [c19]Kihong Park, Seungryong Kim, Kwanghoon Sohn:
Pedestrian proposal generation using depth-aware scale estimation. ICIP 2017: 2045-2049 - [c18]Sunghun Joung, Seungryong Kim, Bumsub Ham, Kwanghoon Sohn:
Unsupervised stereo matching using correspondence consistency. ICIP 2017: 2518-2522 - [c17]Somi Jeong, Seungryong Kim, Bumsub Ham, Kwanghoon Sohn:
Convolutional cost aggregation for robust stereo matching. ICIP 2017: 2523-2527 - [c16]Sungil Choi, Seungryong Kim, Kihong Park, Kwanghoon Sohn:
Multispectral human co-segmentation via joint convolutional neural networks. ICIP 2017: 3115-3119 - [c15]Heebum Yoon, Seungryong Kim, Taekho Nam, JongWon Kim:
Dynamic flow steering for IoT monitoring data in SDN-coordinated IoT-Cloud services. ICOIN 2017: 625-627 - [i5]Seungryong Kim, Dongbo Min, Bumsub Ham, Sangryul Jeon, Stephen Lin, Kwanghoon Sohn:
FCSS: Fully Convolutional Self-Similarity for Dense Semantic Correspondence. CoRR abs/1702.00926 (2017)