| Meta-learning with differentiable convex optimization K Lee, S Maji, A Ravichandran, S Soatto CVPR 2019 (Oral), 2019 | 1581 | 2019 |
| Vitgan: Training gans with vision transformers K Lee, H Chang, L Jiang, H Zhang, Z Tu, C Liu ICLR 2022 (Spotlight), 2022 | 248 | 2022 |
| Learning instance occlusion for panoptic segmentation J Lazarow, K Lee, K Shi, Z Tu CVPR 2020, 2020 | 100 | 2020 |
| Dual contradistinctive generative autoencoder G Parmar, D Li, K Lee, Z Tu CVPR 2021, 2021 | 96 | 2021 |
| Wasserstein introspective neural networks K Lee, W Xu, F Fan, Z Tu CVPR 2018 (Oral), 2018 | 60 | 2018 |
| AntGPT: Can Large Language Models Help Long-term Action Anticipation from Videos? Q Zhao, C Zhang, S Wang, C Fu, N Agarwal, K Lee, C Sun ICLR 2024, 2024 | 38 | 2024 |
| Object-centric Video Representation for Long-term Action Anticipation C Zhang, C Fu, S Wang, N Agarwal, K Lee, C Choi, C Sun WACV 2024, 2024 | 16 | 2024 |
| Vamos: Versatile action models for video understanding S Wang, Q Zhao, MQ Do, N Agarwal, K Lee, C Sun ECCV 2024, 2024 | 9 | 2024 |
| Follow the Rules: Reasoning for Video Anomaly Detection with Large Language Models Y Yang, K Lee, B Dariush, Y Cao, SY Lo ECCV 2024, 2024 | 8 | 2024 |
| Can’t make an Omelette without Breaking some Eggs: Plausible Action Anticipation using Large Video-Language Models H Mittal, N Agarwal, SY Lo, K Lee CVPR 2024, 2024 | 8 | 2024 |
| AdamsFormer for Spatial Action Localization in the Future H Chi, K Lee, N Agarwal, Y Xu, K Ramani, C Choi CVPR 2023, 2023 | 6 | 2023 |
| Vicor: Bridging visual understanding and commonsense reasoning with large language models K Zhou, K Lee, T Misu, XE Wang ACL (Findings) 2024, 2024 | 5 | 2024 |
| M2D2M: Multi-Motion Generation from Text with Discrete Diffusion Models S Chi, H Chi, H Ma, N Agarwal, F Siddiqui, K Ramani, K Lee ECCV 2024, 2024 | 4 | 2024 |
| Uncertainty-aware Action Decoupling Transformer for Action Anticipation H Guo, N Agarwal, SY Lo, K Lee, Q Ji CVPR 2024 (Highlight), 2024 | 4 | 2024 |
| Controllable top-down feature transformer Z Jia, H Hong, S Wang, K Lee, Z Tu arXiv preprint arXiv:1712.02400, 2017 | 2 | 2017 |
| Learning Generative Models with Energy-Based Models and Transformer GANs K Lee University of California San Diego, 2022 | 1 | 2022 |
| Language Grounded Multi-agent Reinforcement Learning with Human-interpretable Communication H Li, HN Mahjoub, B Chalaki, V Tadiparthi, K Lee, EM Pari, CM Lewis, ... The Thirty-eighth Annual Conference on Neural Information Processing Systems, 0 | 1 | |
| Symbolic Graph Inference for Compound Scene Understanding FNU Aryan, S Stepputtis, S Bhagat, J Campbell, K Lee, HN Mahjoub, ... arXiv preprint arXiv:2410.22626, 2024 | | 2024 |
| Generalizable instruction following with pre-trained language and grounding models GY Kebe, LEE Kwonjoon, T Misu US Patent App. 18/181,103, 2024 | | 2024 |
| Spatial action localization in the future (salf) H Chi, LEE Kwonjoon, N Agarwal, Y Xu, C Choi US Patent App. 18/300,844, 2024 | | 2024 |
