Multi-label image recognition by recurrently discovering attentional regions Z Wang, T Chen, G Li, R Xu, L Lin Proceedings of the IEEE international conference on computer vision, 464-472, 2017 | 221 | 2017 |
Recurrent attentional reinforcement learning for multi-label image recognition T Chen, Z Wang, G Li, L Lin Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 118 | 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 | 101 | 2018 |
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 | 100 | 2018 |
Recovering extremely degraded faces by joint super-resolution and facial composite X Li, G Duan, Z Wang, J Ren, Y Zhang, J Zhang, K Song 2019 IEEE 31st International Conference on Tools with Artificial …, 2019 | 3 | 2019 |
RestoreFormer: High-Quality Blind Face Restoration From Undegraded Key-Value Pairs Z Wang, J Zhang, R Chen, W Wang, P Luo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 2 | 2022 |
Learning a reinforced agent for flexible exposure bracketing selection Z Wang, J Zhang, M Lin, J Wang, P Luo, J Ren Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 2 | 2020 |
Image Deblurring Aided by Low-Resolution Events Z Wang, J Ren, J Zhang, P Luo Electronics 11 (4), 631, 2022 | 1 | 2022 |
Multi-label image recognition with attentive transformer-localizer module L Nie, T Chen, Z Wang, W Kang, L Lin Multimedia Tools and Applications 81 (6), 7917-7940, 2022 | | 2022 |