| Semantic Graph Convolutional Networks for 3D Human Pose Regression L Zhao, X Peng, Y Tian, M Kapadia, DN Metaxas IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 3425-3435, 2019 | 666 | 2019 |
| Learning to learn single domain generalization F Qiao, L Zhao, X Peng IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 12556 …, 2020 | 526 | 2020 |
| Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding Z Zhang, H Zhang, L Zhao, T Chen, S Arik, T Pfister AAAI Conference on Artificial Intelligence (AAAI), 3417-3425, 2022 | 269* | 2022 |
| SMIL: Multimodal Learning with Severely Missing Modality M Ma, J Ren, L Zhao, S Tulyakov, C Wu, X Peng AAAI Conference on Artificial Intelligence (AAAI), 2302-2310, 2021 | 262 | 2021 |
| Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness L Zhao, T Liu, X Peng, D Metaxas Advances in Neural Information Processing Systems (NeurIPS), 14435-14447, 2020 | 198 | 2020 |
| CR-GAN: Learning Complete Representations for Multi-view Generation Y Tian, X Peng, L Zhao, S Zhang, DN Metaxas International Joint Conference on Artificial Intelligence (IJCAI), 942-948, 2018 | 177 | 2018 |
| Are Multimodal Transformers Robust to Missing Modality? M Ma, J Ren, L Zhao, D Testuggine, X Peng IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 18177 …, 2022 | 174 | 2022 |
| Construct Dynamic Graphs for Hand Gesture Recognition via Spatial-Temporal Attention Y Chen, L Zhao, X Peng, J Yuan, DN Metaxas British Machine Vision Conference (BMVC), 2019 | 135 | 2019 |
| Learning to forecast and refine residual motion for image-to-video generation L Zhao, X Peng, Y Tian, M Kapadia, D Metaxas European Conference on Computer Vision (ECCV), 387-403, 2018 | 116 | 2018 |
| Improved Transformer for High-Resolution GANs L Zhao, Z Zhang, T Chen, D Metaxas, H Zhang Advances in Neural Information Processing Systems (NeurIPS), 18367-18380, 2021 | 110 | 2021 |
| Exploiting Unlabeled Data with Vision and Language Models for Object Detection S Zhao, Z Zhang, S Schulter, L Zhao, BG Vijay Kumar, A Stathopoulos, ... European Conference on Computer Vision (ECCV), 159-175, 2022 | 105 | 2022 |
| Global Matching with Overlapping Attention for Optical Flow Estimation S Zhao, L Zhao, Z Zhang, E Zhou, D Metaxas IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 17592 …, 2022 | 99 | 2022 |
| Knowledge as Priors: Cross-Modal Knowledge Generalization for Datasets without Superior Knowledge L Zhao, X Peng, Y Chen, M Kapadia, DN Metaxas IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 6528-6537, 2020 | 83 | 2020 |
| COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only Modality H Zhou, A Kadav, A Shamsian, S Geng, F Lai, L Zhao, T Liu, M Kapadia, ... European Conference on Computer Vision (ECCV), 249-266, 2022 | 46 | 2022 |
| Object proposal by multi-branch hierarchical segmentation C Wang, L Zhao, S Liang, L Zhang, J Jia, Y Wei IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 3873-3881, 2015 | 45 | 2015 |
| Out-of-domain generalization from a single source: An uncertainty quantification approach X Peng, F Qiao, L Zhao IEEE Transactions on Pattern Analysis and Machine Intelligence 46 (3), 1775-1787, 2024 | 41 | 2024 |
| Hierarchically Self-supervised Transformer for Human Skeleton Representation Learning Y Chen, L Zhao, J Yuan, Y Tian, Z Xia, S Geng, L Han, DN Metaxas European Conference on Computer Vision (ECCV), 185-202, 2022 | 40 | 2022 |
| Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization L Zhao, Y Wang, J Zhao, L Yuan, JJ Sun, F Schroff, H Adam, X Peng, ... IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 12793 …, 2021 | 38 | 2021 |
| VideoPrism: A foundational visual encoder for video understanding L Zhao, NB Gundavarapu, L Yuan, H Zhou, S Yan, JJ Sun, L Friedman, ... International Conference on Machine Learning (ICML), 60785-60811, 2024 | 25 | 2024 |
| Rethinking Kernel Methods for Node Representation Learning on Graphs Y Tian, L Zhao, X Peng, D Metaxas Advances in Neural Information Processing Systems (NeurIPS), 11681-11692, 2019 | 24 | 2019 |
Dimitris N. MetaxasBoard of Governors and Distinguished Professor of Computer Science, Rutgers Universitycs.rutgers.edu의 이메일 확인됨