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 | 218 | 2019 |
Bridge to answer: Structure-aware graph interaction network for video question answering J Park, J Lee, K Sohn Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 75 | 2021 |
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 | 53 | 2020 |
Let 2d diffusion model know 3d-consistency for robust text-to-3d generation J Seo, W Jang, MS Kwak, J Ko, H Kim, J Kim, JH Kim, J Lee, S Kim arXiv preprint arXiv:2303.07937, 2023 | 44 | 2023 |
Sumgraph: Video summarization via recursive graph modeling J Park, J Lee, IJ Kim, K Sohn Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 44 | 2020 |
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 | 37 | 2021 |
Pin the memory: Learning to generalize semantic segmentation J Kim, J Lee, J Park, D Min, K Sohn Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 34 | 2022 |
Probabilistic representations for video contrastive learning J Park, J Lee, IJ Kim, K Sohn Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 27 | 2022 |
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 | 22 | 2018 |
Causalcity: Complex simulations with agency for causal discovery and reasoning D McDuff, Y Song, J Lee, V Vineet, S Vemprala, NA Gyde, H Salman, ... Conference on Causal Learning and Reasoning, 559-575, 2022 | 21 | 2022 |
Midms: Matching interleaved diffusion models for exemplar-based image translation J Seo, G Lee, S Cho, J Lee, S Kim Proceedings of the AAAI Conference on Artificial Intelligence 37 (2), 2191-2199, 2023 | 11 | 2023 |
Video summarization by learning relationships between action and scene J Park, J Lee, S Jeon, K Sohn Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 9 | 2019 |
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 | 9 | 2018 |
Mutual Information Divergence: A Unified Metric for Multimodal Generative Models JH Kim, Y Kim, J Lee, KM Yoo, SW Lee Advances in Neural Information Processing Systems 35 (NeurIPS), 2022 | 8 | 2022 |
Automatic 2d-to-3d conversion using multi-scale deep neural network J Lee, H Jung, Y Kim, K Sohn 2017 IEEE International Conference on Image Processing (ICIP), 730-734, 2017 | 8 | 2017 |
Self-balanced learning for domain generalization J Kim, J Lee, J Park, D Min, K Sohn 2021 IEEE International Conference on Image Processing (ICIP), 779-783, 2021 | 7 | 2021 |
Language-free Training for Zero-shot Video Grounding D Kim, J Park, J Lee, S Park, K Sohn Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 6 | 2023 |
Dense text-to-image generation with attention modulation Y Kim, J Lee, JH Kim, JW Ha, JY Zhu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 5 | 2023 |
Imaginary Voice: Face-Styled Diffusion Model for Text-to-Speech J Lee, JS Chung, SW Chung ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 4 | 2023 |
Graph regularization network with semantic affinity for weakly-supervised temporal action localization J Park, J Lee, S Jeon, S Kim, K Sohn 2019 IEEE International Conference on Image Processing (ICIP), 3701-3705, 2019 | 4 | 2019 |