| 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 | 304 | 2019 |
| 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 | 296 | 2021 |
| 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 | 171 | 2019 |
| 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 | 171 | 2017 |
| 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 | 155* | 2022 |
| Unified multi-spectral pedestrian detection based on probabilistic fusion networks K Park, S Kim, K Sohn Pattern Recognition 80, 143-155, 2018 | 128 | 2018 |
| 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 | 127 | 2016 |
| 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 | 125 | 2023 |
| 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 | 119 | 2015 |
| 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 | 111 | 2018 |
| 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 | 97* | 2021 |
| 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 | 90 | 2016 |
| 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 | 88 | 2020 |
| 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 | 84 | 2020 |
| 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 | 75 | 2018 |
| Improving sample quality of diffusion models using self-attention guidance S Hong, G Lee, W Jang, S Kim Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 70 | 2023 |
| 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 | 70 | 2019 |
| Cat-seg: Cost aggregation for open-vocabulary semantic segmentation S Cho, H Shin, S Hong, A Arnab, PH Seo, S Kim Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 69 | 2024 |
| 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 | 68 | 2018 |
| Partmix: Regularization strategy to learn part discovery for visible-infrared person re-identification M Kim, S Kim, J Park, S Park, K Sohn Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 63 | 2023 |
Kwanghoon SohnYonsei UniversityПотвърден имейл адрес: yonsei.ac.kr
