| Semantic Graph Convolutional Networks for 3D Human Pose Regression L Zhao, X Peng, Y Tian, M Kapadia, DN Metaxas IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 667 | 2019 |
| Learning to Learn Single Domain Generalization F Qiao, L Zhao, X Peng IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 12556-12565, 2020 | 527 | 2020 |
| A generative adversarial approach for zero-shot learning from noisy texts Y Zhu, M Elhoseiny, B Liu, X Peng, A Elgammal Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 494 | 2018 |
| Jointly optimize data augmentation and network training: Adversarial data augmentation X Peng, Z Tang, F Yang, RS Feris, D Metaxas Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 280* | 2018 |
| SMIL: Multimodal Learning with Severely Missing Modality M Ma, J Ren, L Zhao, S Tulyakov, C Wu, X Peng Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), 2021 | 262 | 2021 |
| A good image generator is what you need for high-resolution video synthesis Y Tian, J Ren, M Chai, K Olszewski, X Peng, DN Metaxas, S Tulyakov The International Conference on Learning Representations (ICLR Spotlight), 2021 | 202 | 2021 |
| Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness L Zhao, T Liu, X Peng, D Metaxas Conference on Neural Information Processing Systems (NeurIPS), 2020 | 199 | 2020 |
| Reconstruction-based disentanglement for pose-invariant face recognition X Peng, X Yu, K Sohn, DN Metaxas, M Chandraker Proceedings of the IEEE International Conference on Computer Vision (ICCV …, 2017 | 188 | 2017 |
| A recurrent encoder-decoder for sequential face alignment X Peng, RS Feris, X Wang, DN Metaxs European Conference on Computer Vision (Best Student Paper Runner-up), 38-56, 2016 | 180* | 2016 |
| 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), 2018 | 177 | 2018 |
| Are multimodal transformers robust to missing modality? M Ma, J Ren, L Zhao, D Testuggine, X Peng Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 174 | 2022 |
| Semantic-Guided Multi-Attention Localization for Zero-Shot Learning Y Zhu, J Xie, Z Tang, X Peng, A Elgammal Advances in Neural Information Processing Systems (NeurIPS), 14943-14953, 2019 | 171 | 2019 |
| Quantized densely connected u-nets for efficient landmark localization Z Tang, X Peng, S Geng, L Wu, S Zhang, D Metaxas Proceedings of the European conference on computer vision (ECCV), 339-354, 2018 | 164 | 2018 |
| 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 | 136 | 2019 |
| Learning to forecast and refine residual motion for image-to-video generation L Zhao, X Peng, Y Tian, M Kapadia, D Metaxas Proceedings of the European conference on computer vision (ECCV), 387-403, 2018 | 116 | 2018 |
| Knowledge as Priors: Cross-Modal Knowledge Generalization for Datasets without Superior Knowledge L Zhao, X Peng, Y Chen, M Kapadia, DN Metaxas IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 6528-6537, 2020 | 83 | 2020 |
| A computer vision based method for 3D posture estimation of symmetrical lifting R Mehrizi, X Peng, X Xu, S Zhang, D Metaxas, K Li Journal of biomechanics (JoB) 69, 40-46, 2018 | 79 | 2018 |
| Uncertainty-guided model generalization to unseen domains F Qiao, X Peng IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 6790-6800, 2021 | 73 | 2021 |
| Towards Efficient U-Nets: A Coupled and Quantized Approach Z Tang, X Peng, K Li, DN Metaxas IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019 | 68 | 2019 |
| Piefa: Personalized incremental and ensemble face alignment X Peng, S Zhang, Y Yang, DN Metaxas Proceedings of the IEEE international conference on computer vision (ICCV …, 2015 | 56 | 2015 |
Dimitris N. MetaxasBoard of Governors and Distinguished Professor of Computer Science, Rutgers UniversityVerified email at cs.rutgers.edu
