| A theory of generative convnet J Xie, Y Lu, SC Zhu, Y Wu International Conference on Machine Learning, 2635-2644, 2016 | 187 | 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 | 148 | 2019 |
| 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 | 134 | 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 | 103 | 2018 |
| 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 | 99 | 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 | 92 | 2018 |
| 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 | 82 | 2017 |
| Semantic-guided multi-attention localization for zero-shot learning Y Zhu, J Xie, Z Tang, X Peng, A Elgammal arXiv preprint arXiv:1903.00502, 2019 | 69 | 2019 |
| 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 | 66 | 2019 |
| 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 | 57 | 2018 |
| 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 | 54 | 2015 |
| 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 | 47 | 2017 |
| 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 | 47 | 2017 |
| Feature selection algorithm based on association rules mining method J Xie, J Wu, Q Qian 2009 Eighth IEEE/ACIS International Conference on Computer and Information …, 2009 | 39 | 2009 |
| Learning dynamic generator model by alternating back-propagation through time J Xie, R Gao, Z Zheng, SC Zhu, YN Wu Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 5498-5507, 2019 | 32 | 2019 |
| Learning Energy-based Spatial-Temporal Generative ConvNets for Dynamic Patterns J Xie, SC Zhu, YN Wu IEEE transactions on pattern analysis and machine intelligence, 2019 | 28 | 2019 |
| Learning noise-aware encoder-decoder from noisy labels by alternating back-propagation for saliency detection J Zhang, J Xie, N Barnes Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 25 | 2020 |
| Learning grid cells as vector representation of self-position coupled with matrix representation of self-motion R Gao, J Xie, SC Zhu, YN Wu arXiv preprint arXiv:1810.05597, 2018 | 21 | 2018 |
| A Causal And-Or Graph Model for Visibility Fluent Reasoning in Tracking Interacting Objects Y Xu, L Qin, X Liu, J Xie, SC Zhu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 21 | 2018 |
| Inducing wavelets into random fields via generative boosting J Xie, Y Lu, SC Zhu, YN Wu Applied and Computational Harmonic Analysis 41 (1), 4-25, 2016 | 21 | 2016 |
Ying Nian WuUCLA Department of StatisticsVerified email at stat.ucla.edu
