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Sunok Kim
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Context-aware emotion recognition networks
J Lee, S Kim, S Kim, J Park, K Sohn
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
2482019
Multi-modal recurrent attention networks for facial expression recognition
J Lee, S Kim, S Kim, K Sohn
IEEE Transactions on Image Processing 29, 6977-6991, 2020
692020
Laf-net: Locally adaptive fusion networks for stereo confidence estimation
S Kim, S Kim, D Min, K Sohn
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
582019
Unified confidence estimation networks for robust stereo matching
S Kim, D Min, S Kim, K Sohn
IEEE Transactions on Image Processing 28 (3), 1299-1313, 2018
542018
Looking into your speech: Learning cross-modal affinity for audio-visual speech separation
J Lee, SW Chung, S Kim, HG Kang, K Sohn
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
442021
Feature augmentation for learning confidence measure in stereo matching
S Kim, D Min, S Kim, K Sohn
IEEE Transactions on Image Processing 26 (12), 6019-6033, 2017
422017
Semantic attribute matching networks
S Kim, D Min, S Jeong, S Kim, S Jeon, K Sohn
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
392019
Deep stereo confidence prediction for depth estimation
S Kim, D Min, B Ham, S Kim, K Sohn
2017 ieee international conference on image processing (icip), 992-996, 2017
392017
On the confidence of stereo matching in a deep-learning era: a quantitative evaluation
M Poggi, S Kim, F Tosi, S Kim, F Aleotti, D Min, K Sohn, S Mattoccia
IEEE transactions on pattern analysis and machine intelligence 44 (9), 5293-5313, 2021
312021
Spatiotemporal attention based deep neural networks for emotion recognition
J Lee, S Kim, S Kiim, K Sohn
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
242018
Adaptive confidence thresholding for monocular depth estimation
H Choi, H Lee, S Kim, S Kim, S Kim, K Sohn, D Min
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
202021
Audio-visual attention networks for emotion recognition
J Lee, S Kim, S Kim, K Sohn
Proceedings of the 2018 Workshop on Audio-Visual Scene Understanding for …, 2018
112018
Adversarial confidence estimation networks for robust stereo matching
S Kim, D Min, S Kim, K Sohn
IEEE Transactions on Intelligent Transportation Systems 22 (11), 6875-6889, 2020
102020
Modality-invariant image classification based on modality uniqueness and dictionary learning
S Kim, R Cai, K Park, S Kim, K Sohn
IEEE Transactions on Image Processing 26 (2), 884-899, 2016
72016
Stereo confidence estimation via locally adaptive fusion and knowledge distillation
S Kim, S Kim, D Min, P Frossard, K Sohn
IEEE transactions on pattern analysis and machine intelligence 45 (5), 6372-6385, 2022
52022
Shape-robust SAR ship detection via context-preserving augmentation and deep contrastive roi learning
T Song, S Kim, K Sohn
IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2022
52022
Context-preserving instance-level augmentation and deformable convolution networks for SAR ship detection
T Song, S Kim, ST Kim, J Lee, K Sohn
2022 IEEE Radar Conference (RadarConf22), 1-6, 2022
42022
Learning depth from a single image using visual-depth words
S Kim, S Choi, K Sohn
2015 IEEE International Conference on Image Processing (ICIP), 1895-1899, 2015
42015
Adaptive confidence thresholding for semi-supervised monocular depth estimation
H Choi, H Lee, S Kim, S Kim, S Kim, D Min
CoRR, abs/2009.12840, 2020
32020
Meta-confidence estimation for stereo matching
S Kim, M Poggi, S Kim, K Sohn, S Mattoccia
2022 International Conference on Robotics and Automation (ICRA), 10624-10631, 2022
22022
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