| A theory of generative convnet J Xie, Y Lu, SC Zhu, Y Wu International Conference on Machine Learning, 2635-2644, 2016 | 350 | 2016 |
| Revisiting video saliency prediction in the deep learning era W Wang, J Shen, J Xie, MM Cheng, H Ling, A Borji IEEE transactions on pattern analysis and machine intelligence 43 (1), 220-237, 2019 | 297 | 2019 |
| 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 32, 2019 | 167 | 2019 |
| Learning descriptor networks for 3D shape synthesis and analysis J Xie, Z Zheng, R Gao, W Wang, SC Zhu, Y Nian Wu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 166 | 2018 |
| Non-negative matrix factorization of multimodal MRI, fMRI and phenotypic data reveals differential changes in default mode subnetworks in ADHD A Anderson, PK Douglas, WT Kerr, VS Haynes, AL Yuille, J Xie, YN Wu, ... NeuroImage 102, 207-219, 2014 | 159 | 2014 |
| Cooperative training of descriptor and generator networks J Xie, Y Lu, R Gao, SC Zhu, YN Wu IEEE transactions on pattern analysis and machine intelligence 42 (1), 27-45, 2018 | 156 | 2018 |
| Weakly and semi supervised human body part parsing via pose-guided knowledge transfer HS Fang, G Lu, X Fang, J Xie, YW Tai, C Lu arXiv preprint arXiv:1805.04310, 2018 | 144 | 2018 |
| Learning feature-to-feature translator by alternating back-propagation for generative zero-shot learning Y Zhu, J Xie, B Liu, A Elgammal Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 119 | 2019 |
| Synthesizing Dynamic Patterns by Spatial-Temporal Generative ConvNet J Xie, SC Zhu, YN Wu arXiv preprint arXiv:1606.00972, 2016 | 116 | 2016 |
| Synthesizing dynamic patterns by spatial-temporal generative convnet J Xie, SC Zhu, Y Nian Wu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 110 | 2017 |
| Learning generative vision transformer with energy-based latent space for saliency prediction J Zhang, J Xie, N Barnes, P Li Advances in Neural Information Processing Systems 34, 15448-15463, 2021 | 94 | 2021 |
| Cooperative learning of energy-based model and latent variable model via mcmc teaching J Xie, Y Lu, R Gao, YN Wu Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 92 | 2018 |
| Segregated temporal assembly recurrent networks for weakly supervised multiple action detection Y Xu, C Zhang, Z Cheng, J Xie, Y Niu, S Pu, F Wu Proceedings of the AAAI conference on artificial intelligence 33 (01), 9070-9078, 2019 | 91 | 2019 |
| Generative pointnet: Deep energy-based learning on unordered point sets for 3d generation, reconstruction and classification J Xie, Y Xu, Z Zheng, SC Zhu, YN Wu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 81 | 2021 |
| Semi-Supervised Video Deraining With Dynamical Rain Generator Z Yue, J Xie, Q Zhao, D Meng Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 77 | 2021 |
| Decoding the encoding of functional brain networks: An fMRI classification comparison of non-negative matrix factorization (NMF), independent component analysis (ICA), and … J Xie, PK Douglas, YN Wu, AL Brody, AE Anderson Journal of neuroscience methods 282, 81-94, 2017 | 63 | 2017 |
| Blind Image Super-resolution with Elaborate Degradation Modeling on Noise and Kernel Z Yue, Q Zhao, J Xie, L Zhang, D Meng, KYK Wong Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 62 | 2022 |
| Learning sparse FRAME models for natural image patterns J Xie, W Hu, SC Zhu, YN Wu International Journal of Computer Vision 114 (2-3), 91-112, 2015 | 62 | 2015 |
| Super-trajectory for video segmentation W Wang, J Shen, J Xie, F Porikli Proceedings of the IEEE International Conference on Computer Vision, 1671-1679, 2017 | 61 | 2017 |
| Learning energy-based spatial-temporal generative convnets for dynamic patterns J Xie, SC Zhu, YN Wu IEEE transactions on pattern analysis and machine intelligence 43 (2), 516-531, 2019 | 58 | 2019 |
Ying Nian WuUCLA Department of StatisticsZweryfikowany adres z stat.ucla.edu