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Seungryong Kim
Seungryong Kim
Assistant Professor of CS, Korea University
Verified email at korea.ac.kr - Homepage
Title
Cited by
Cited by
Year
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
2302019
Robustnet: Improving domain generalization in urban-scene segmentation via instance selective whitening
S Choi, S Jung, H Yun, JT Kim, S Kim, J Choo
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
2222021
FCSS: Fully Convolutional Self-Similarity for Dense Semantic Correspondence
S Kim, D Min, B Ham, S Lin, K Sohn
IEEE Transactions on Pattern Analysis and Machine Intelligence 41 (3), 581-595, 2019
1652019
Fcss: Fully convolutional self-similarity for dense semantic correspondence
S Kim, D Min, B Ham, S Jeon, S Lin, K Sohn
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
1652017
Unified depth prediction and intrinsic image decomposition from a single image via joint convolutional neural fields
S Kim, K Park, K Sohn, S Lin
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
1232016
DASC: Dense adaptive self-correlation descriptor for multi-modal and multi-spectral correspondence
S Kim, D Min, B Ham, S Ryu, MN Do, K Sohn
Proceedings of the IEEE conference on computer vision and pattern …, 2015
1112015
Unified multi-spectral pedestrian detection based on probabilistic fusion networks
K Park, S Kim, K Sohn
Pattern Recognition 80, 143-155, 2018
1062018
Recurrent Transformer Networks for Semantic Correspondence
S Kim, S Lin, S Jeon, D Min, K Sohn
32nd Conference on Neural Information Processing Systems (NeurIPS 2018), 2018
1052018
Cost aggregation with 4d convolutional swin transformer for few-shot segmentation
S Hong, S Cho, J Nam, S Lin, S Kim
European Conference on Computer Vision, 108-126, 2022
89*2022
Multi-spectral pedestrian detection based on accumulated object proposal with fully convolutional networks
H Choi, S Kim, K Park, K Sohn
2016 23rd International conference on pattern recognition (ICPR), 621-626, 2016
822016
Let 2d diffusion model know 3d-consistency for robust text-to-3d generation
J Seo, W Jang, MS Kwak, H Kim, J Ko, J Kim, JH Kim, J Lee, S Kim
arXiv preprint arXiv:2303.07937, 2023
772023
Cats: Cost aggregation transformers for visual correspondence
S Cho, S Hong, S Jeon, Y Lee, K Sohn, S Kim
Advances in Neural Information Processing Systems 34, 9011-9023, 2021
74*2021
Dunit: Detection-based unsupervised image-to-image translation
D Bhattacharjee, S Kim, G Vizier, M Salzmann
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
742020
High-precision depth estimation with the 3d lidar and stereo fusion
K Park, S Kim, K Sohn
2018 IEEE International Conference on Robotics and Automation (ICRA), 2156-2163, 2018
662018
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
642020
High-precision depth estimation using uncalibrated LiDAR and stereo fusion
K Park, S Kim, K Sohn
Ieee transactions on intelligent transportation systems 21 (1), 321-335, 2019
622019
Parn: Pyramidal affine regression networks for dense semantic correspondence
S Jeon, S Kim, D Min, K Sohn
Proceedings of the European Conference on Computer Vision (ECCV), 351-366, 2018
612018
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
562019
Dctm: Discrete-continuous transformation matching for semantic flow
S Kim, D Min, S Lin, K Sohn
Proceedings of the IEEE International Conference on Computer Vision, 4529-4538, 2017
532017
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
522018
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