Generative image inpainting with contextual attention J Yu, Z Lin, J Yang, X Shen, X Lu, TS Huang Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 2092 | 2018 |
Free-form image inpainting with gated convolution J Yu, Z Lin, J Yang, X Shen, X Lu, TS Huang Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 1391 | 2019 |
High-resolution image inpainting using multi-scale neural patch synthesis C Yang, X Lu, Z Lin, E Shechtman, O Wang, H Li Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 866 | 2017 |
Universal style transfer via feature transforms Y Li, C Fang, J Yang, Z Wang, X Lu, MH Yang Advances in neural information processing systems 30, 2017 | 830 | 2017 |
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 | 580 | 2018 |
RAPID: Rating Pictorial Aesthetics using Deep Learning X Lu, Z Lin, H Jin, J Yang, JZ Wang ACM Multimedia, 2014 | 417 | 2014 |
Photo2Trip: generating travel routes from geo-tagged photos for trip planning X Lu, C Wang, JM Yang, Y Pang, L Zhang Proceedings of the international conference on Multimedia, 143-152, 2010 | 400 | 2010 |
Rethinking the smaller-norm-less-informative assumption in channel pruning of convolution layers J Ye, X Lu, Z Lin, JZ Wang arXiv preprint arXiv:1802.00124, 2018 | 397 | 2018 |
Grid r-cnn X Lu, B Li, Y Yue, Q Li, J Yan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 338 | 2019 |
Foreground-aware image inpainting W Xiong, J Yu, Z Lin, J Yang, X Lu, C Barnes, J Luo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 329 | 2019 |
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 | 325 | 2015 |
Diversified texture synthesis with feed-forward networks Y Li, C Fang, J Yang, Z Wang, X Lu, MH Yang Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 255 | 2017 |
Deep image harmonization YH Tsai, X Shen, Z Lin, K Sunkavalli, X Lu, MH Yang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 215 | 2017 |
Rating image aesthetics using deep learning X Lu, Z Lin, H Jin, J Yang, JZ Wang IEEE Transactions on Multimedia 17 (11), 2021-2034, 2015 | 211 | 2015 |
On Shape and the Computability of Emotions X Lu, P Suryanarayan, RB Adams Jr, JLMG Newman, JZ Wang | 169 | 2012 |
Recurrent multimodal interaction for referring image segmentation C Liu, Z Lin, X Shen, J Yang, X Lu, A Yuille Proceedings of the IEEE international conference on computer vision, 1271-1280, 2017 | 153 | 2017 |
Flow-grounded spatial-temporal video prediction from still images Y Li, C Fang, J Yang, Z Wang, X Lu, MH Yang Proceedings of the European Conference on Computer Vision (ECCV), 600-615, 2018 | 125 | 2018 |
Equalization loss v2: A new gradient balance approach for long-tailed object detection J Tan, X Lu, G Zhang, C Yin, Q Li Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 81 | 2021 |
Utilizing deep learning for boundary-aware image segmentation Z Lin, Y Song, X Lu, S Xiaohui, J Yang US Patent 9,972,092, 2018 | 77 | 2018 |
Missing region prediction X Lu, Z Lin, JCJ Chien US Patent 9,760,978, 2017 | 71 | 2017 |