| Generative Image Inpainting with Contextual Attention J Yu, Z Lin, J Yang, X Shen, X Lu, TS Huang Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2018 | 1619 | 2018 |
| A Convolutional Neural Network Cascade for Face Detection H Li, Z Lin, X Shen, J Brandt, G Hua Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 1447 | 2015 |
| Free-form image inpainting with gated convolution J Yu, Z Lin, J Yang, X Shen, X Lu, TS Huang Proceedings of the IEEE International Conference on Computer Vision, 4471-4480, 2019 | 975 | 2019 |
| A Unified Approach to Salient Object Detection via Low Rank Matrix Recovery X Shen, Y Wu Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on, 853-860, 2012 | 840 | 2012 |
| Top-Down Neural Attention by Excitation Backprop J Zhang, Z Lin, J Brandt, X Shen, S Sclaroff European Conference on Computer Vision, 543-559, 2016 | 691 | 2016 |
| STC: A simple to complex framework for weakly-supervised semantic segmentation Y Wei, X Liang, Y Chen, X Shen, MM Cheng, J Feng, Y Zhao, S Yan IEEE transactions on pattern analysis and machine intelligence 39 (11), 2314 …, 2017 | 485 | 2017 |
| Towards unified depth and semantic prediction from a single image P Wang, X Shen, Z Lin, S Cohen, B Price, AL Yuille Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 478 | 2015 |
| Enlightengan: Deep light enhancement without paired supervision Y Jiang, X Gong, D Liu, Y Cheng, C Fang, X Shen, J Yang, P Zhou, ... IEEE Transactions on Image Processing 30, 2340-2349, 2021 | 461 | 2021 |
| Minimum Barrier Salient Object Detection at 80 FPS J Zhang, S Sclaroff, Z Lin, X Shen, B Price, R Mech Proceedings of the IEEE International Conference on Computer Vision, 1404-1412, 2015 | 437 | 2015 |
| Mattnet: Modular attention network for referring expression comprehension L Yu, Z Lin, X Shen, J Yang, X Lu, M Bansal, TL Berg Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 425 | 2018 |
| Look into Person: Self-supervised Structure-sensitive Learning and A New Benchmark for Human Parsing K Gong, X Liang, D Zhang, X Shen, L Lin Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2017 | 388 | 2017 |
| Photo Aesthetics Ranking Network with Attributes and Content Adaptation S Kong, X Shen, Z Lin, R Mech, C Fowlkes European Conference on Computer Vision, 2016 | 352 | 2016 |
| Semantic Object Parsing with Graph LSTM X Liang, X Shen, J Feng, L Lin, S Yan European Conference on Computer Vision, 2016 | 317 | 2016 |
| Deep Multi-Patch Aggregation Network for Image Style, Aesthetics, and Quality Estimation X Lu, Z Lin, X Shen, R Mech, JZ Wang Proceedings of the IEEE International Conference on Computer Vision, 990-998, 2015 | 283 | 2015 |
| Human Parsing with Contextualized Convolutional Neural Network X Liang, C Xu, X Shen, J Yang, S Liu, J Tang, L Lin, S Yan Proceedings of the IEEE International Conference on Computer Vision, 1386-1394, 2015 | 271 | 2015 |
| Object retrieval and localization with spatially-constrained similarity measure and k-NN re-ranking X Shen, Z Lin, J Brandt, S Avidan, Y Wu Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on, 2012 | 251 | 2012 |
| Look into Person: Joint Body Parsing & Pose Estimation Network and A New Benchmark X Liang, K Gong, X Shen, L Lin IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018 | 248 | 2018 |
| Learning to Predict Indoor Illumination from a Single Image MA Gardner, K Sunkavalli, E Yumer, X Shen, E Gambaretto, C Gagné, ... SIGGRAPH Asia, 2017 | 244 | 2017 |
| Proposal-free network for instance-level object segmentation X Liang, Y Wei, X Shen, J Yang, L Lin, S Yan IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017 | 242 | 2017 |
| Deep Human Parsing with Active Template Regression X Liang, S Liu, X Shen, J Yang, L Liu, L Lin, S Yan IEEE Transactions on Pattern Analysis & Machine Intelligence, 2015 | 237 | 2015 |
Zhe L. LinSenior Principal Scientist, Adobe Researchadobe.com üzerinde doğrulanmış e-posta adresine sahip
