| Deep Convolutional Neural Network for Image Deconvolution L Xu, JS Ren, C Liu, J Jia Advances in Neural Information Processing Systems (NIPS), 1790-1798, 2014 | 571 | 2014 |
| Cascade residual learning: A two-stage convolutional neural network for stereo matching J Pang, W Sun, JSJ Ren, C Yang, Q Yan Proceedings of the IEEE International Conference on Computer Vision …, 2017 | 181 | 2017 |
| Accurate single stage detector using recurrent rolling convolution JS Ren, X Chen, J Liu, W Sun, J Pang, Q Yan, YW Tai, L Xu Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017 | 172 | 2017 |
| Deep edge-aware filters L Xu, J Ren, Q Yan, R Liao, J Jia International Conference on Machine Learning, 1669-1678, 2015 | 132 | 2015 |
| 3d human pose estimation in the wild by adversarial learning W Yang, W Ouyang, X Wang, J Ren, H Li, X Wang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 125 | 2018 |
| Shepard Convolutional Neural Networks JSJ Ren, L Xu, Q Yan, W Sun Advances in Neural Information Processing Systems (NIPS 2015), 2015 | 94 | 2015 |
| Look, Listen and Learn - A Multimodal LSTM for Speaker Identification JSJ Ren, Y Hu, YW Tai, C Wang, L Xu, W Sun, Q Yan The 30th AAAI Conference on Artificial Intelligence (AAAI-16), 2016 | 77 | 2016 |
| Single view stereo matching Y Luo, J Ren, M Lin, J Pang, W Sun, H Li, L Lin Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 72 | 2018 |
| On Vectorization of Deep Convolutional Neural Networks for Vision Tasks JSJ Ren, L Xu The 29th AAAI Conference on Artificial Intelligence (AAAI-15), 2015 | 70 | 2015 |
| Dynamic scene deblurring using spatially variant recurrent neural networks J Zhang, J Pan, J Ren, Y Song, L Bao, RWH Lau, MH Yang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 64 | 2018 |
| Learning monocular depth by distilling cross-domain stereo networks X Guo, H Li, S Yi, J Ren, X Wang Proceedings of the European Conference on Computer Vision (ECCV), 484-500, 2018 | 58 | 2018 |
| Learning dual convolutional neural networks for low-level vision J Pan, S Liu, D Sun, J Zhang, Y Liu, J Ren, Z Li, J Tang, H Lu, YW Tai, ... Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 54 | 2018 |
| Lstm pose machines Y Luo, J Ren, Z Wang, W Sun, J Pan, J Liu, J Pang, L Lin Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 48 | 2018 |
| Deep multimodal speaker naming Y Hu, JSJ Ren, J Dai, C Yuan, L Xu, W Wang Proceedings of the 23rd ACM international conference on Multimedia, 1107-1110, 2015 | 36 | 2015 |
| Deep reasoning with knowledge graph for social relationship understanding Z Wang, T Chen, J Ren, W Yu, H Cheng, L Lin arXiv preprint arXiv:1807.00504, 2018 | 29 | 2018 |
| Classifying Consumer Comparison Opinions to Uncover Product Strengths and Weaknesses KSJ Xu, W Wang, J Ren, JSY Xu, L Liu, S Liao International Journal of Intelligent Information Technologies (IJIIT) 7 (1 …, 2011 | 25 | 2011 |
| The Process of Information Propagation Along a Traffic Stream Through Intervehicle Communication W Wang, SS Liao, X Li, JS Ren IEEE Transactions on Intelligent Transportation Systems 15 (1), 345 - 354, 2014 | 24 | 2014 |
| Zoom and learn: Generalizing deep stereo matching to novel domains J Pang, W Sun, C Yang, J Ren, R Xiao, J Zeng, L Lin Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 16 | 2018 |
| Davanet: Stereo deblurring with view aggregation S Zhou, J Zhang, W Zuo, H Xie, J Pan, JS Ren Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 12 | 2019 |
| Physics-based generative adversarial models for image restoration and beyond J Pan, Y Liu, J Dong, J Zhang, J Ren, J Tang, YW Tai, MH Yang arXiv preprint arXiv:1808.00605, 2018 | 11 | 2018 |
Qiong YanSenseTime ResearchVerified email at sensetime.com
