| 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 | 188 | 2018 |
| A recurrent encoder-decoder for sequential face alignment X Peng, RS Feris, X Wang, DN Metaxs Proc. European Conference on Computer Vision, 38-56, 2016 | 124 | 2016 |
| Jointly optimize data augmentation and network training: Adversarial data augmentation in human pose estimation X Peng, Z Tang, F Yang, RS Feris, D Metaxas Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 106 | 2018 |
| 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 | 101 | 2017 |
| 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 | 97 | 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 | 78 | 2018 |
| 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 | 68 | 2018 |
| 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 | 51 | 2018 |
| 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 | 46 | 2015 |
| 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 | 31 | 2018 |
| From circle to 3-sphere: Head pose estimation by instance parameterization X Peng, J Huang, Q Hu, S Zhang, A Elgammal, D Metaxas Computer Vision and Image Understanding (CVIU) 136, 92-102, 2015 | 30 | 2015 |
| CU-net: coupled U-nets Z Tang, X Peng, S Geng, Y Zhu, DN Metaxas British Machine Vision Conference (BMVC Oral), 2018 | 27 | 2018 |
| Toward marker-free 3D pose estimation in lifting: A deep multi-view solution R Mehrizi, X Peng, Z Tang, X Xu, D Metaxas, K Li 2018 13th IEEE International Conference on Automatic Face & Gesture …, 2018 | 26 | 2018 |
| Robust tracking with discriminative ranking lists M Tang, X Peng IEEE Transactions on Image Processing (TIP) 21 (7), 3273-3281, 2012 | 23 | 2012 |
| 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 | 22 | 2019 |
| Computer-based tracking, analysis, and visualization of linguistically significant nonmanual events in American Sign Language (ASL) C Neidle, J Liu, B Liu, X Peng, C Vogler, D Metaxas LREC Workshop on the Representation and Processing of Sign Languages: Beyond …, 2014 | 18 | 2014 |
| Three-dimensional head pose estimation in-the-wild X Peng, J Huang, Q Hu, S Zhang, DN Metaxas 2015 11th IEEE International Conference and Workshops on Automatic Face and …, 2015 | 17 | 2015 |
| A Deep Neural Network-based method for estimation of 3D lifting motions R Mehrizi, X Peng, X Xu, S Zhang, K Li Journal of biomechanics (JoB) 84, 87-93, 2019 | 15 | 2019 |
| Predicting 3-D lower back joint load in lifting: A deep pose estimation approach R Mehrizi, X Peng, DN Metaxas, X Xu, S Zhang, K Li IEEE Transactions on Human-Machine Systems (THMS) 49 (1), 85-94, 2019 | 15 | 2019 |
| RED-Net: A Recurrent Encoder–Decoder Network for Video-Based Face Alignment X Peng, RS Feris, X Wang, DN Metaxas International Journal of Computer Vision (IJCV) 126 (10), 1103--1119, 2018 | 15 | 2018 |
Dimitris N. MetaxasDistinguished Professor of Computer Science, Rutgers UniversityVerified email at cs.rutgers.edu
