Pattern-affinitive propagation across depth, surface normal and semantic segmentation Z Zhang, Z Cui, C Xu, Y Yan, N Sebe, J Yang
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
377 2019 Joint task-recursive learning for semantic segmentation and depth estimation Z Zhang, Z Cui, C Xu, Z Jie, X Li, J Yang
Proceedings of the European conference on computer vision (ECCV), 235-251, 2018
253 2018 RigNet: Repetitive image guided network for depth completion Z Yan, K Wang, X Li, Z Zhang, J Li, J Yang
European Conference on Computer Vision, 214-230, 2022
131 2022 Pattern-structure diffusion for multi-task learning L Zhou, Z Cui, C Xu, Z Zhang, C Wang, T Zhang, J Yang
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
104 2020 Cross-modal attention network for temporal inconsistent audio-visual event localization H Xuan, Z Zhang, S Chen, J Yang, Y Yan
Proceedings of the AAAI Conference on Artificial Intelligence 34 (01), 279-286, 2020
93 2020 LRR for Subspace Segmentation via Tractable Schatten- H Zhang, J Yang, F Shang, C Gong, Z Zhang
IEEE transactions on cybernetics 49 (5), 1722-1734, 2018
86 2018 Regularizing nighttime weirdness: Efficient self-supervised monocular depth estimation in the dark K Wang, Z Zhang, Z Yan, X Li, B Xu, J Li, J Yang
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
85 2021 Deep hierarchical guidance and regularization learning for end-to-end depth estimation Z Zhang, C Xu, J Yang, Y Tai, L Chen
Pattern Recognition 83, 430-442, 2018
62 2018 Progressive hard-mining network for monocular depth estimation Z Zhang, C Xu, J Yang, J Gao, Z Cui
IEEE Transactions on Image Processing 27 (8), 3691-3702, 2018
57 2018 Online depth learning against forgetting in monocular videos Z Zhang, S Lathuiliere, E Ricci, N Sebe, Y Yan, J Yang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
48 2020 Ntire 2023 challenge on 360deg omnidirectional image and video super-resolution: Datasets, methods and results M Cao, C Mou, F Yu, X Wang, Y Zheng, J Zhang, C Dong, G Li, Y Shan, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023
36 2023 Multi-modal masked pre-training for monocular panoramic depth completion Z Yan, X Li, K Wang, Z Zhang, J Li, J Yang
European Conference on Computer Vision, 378-395, 2022
33 2022 Learning to aggregate and personalize 3d face from in-the-wild photo collection Z Zhang, Y Ge, R Chen, Y Tai, Y Yan, J Yang, C Wang, J Li, F Huang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
33 2021 Deepfake generation and detection: A benchmark and survey G Pei, J Zhang, M Hu, Z Zhang, C Wang, Y Wu, G Zhai, J Yang, C Shen, ...
arXiv preprint arXiv:2403.17881, 2024
32 2024 Graph transformer gans for graph-constrained house generation H Tang, Z Zhang, H Shi, B Li, L Shao, N Sebe, R Timofte, L Van Gool
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
27 2023 Desnet: Decomposed scale-consistent network for unsupervised depth completion Z Yan, K Wang, X Li, Z Zhang, J Li, J Yang
Proceedings of the AAAI conference on artificial intelligence 37 (3), 3109-3117, 2023
25 2023 Learning complementary correlations for depth super-resolution with incomplete data in real world Z Yan, K Wang, X Li, Z Zhang, G Li, J Li, J Yang
IEEE transactions on neural networks and learning systems 35 (4), 5616-5626, 2022
23 2022 3qnet: 3d point cloud geometry quantization compression network T Huang, J Zhang, J Chen, Z Ding, Y Tai, Z Zhang, C Wang, Y Liu
ACM Transactions on Graphics (TOG) 41 (6), 1-13, 2022
20 2022 Joint task-recursive learning for RGB-D scene understanding Z Zhang, Z Cui, C Xu, Z Jie, X Li, J Yang
IEEE transactions on pattern analysis and machine intelligence 42 (10), 2608 …, 2019
20 2019 Online adaptation through meta-learning for stereo depth estimation Z Zhang, S Lathuiliere, A Pilzer, N Sebe, E Ricci, J Yang
arXiv preprint arXiv:1904.08462, 2019
18 2019 
Jian YangProf. of Computer Science, Nanjing University of Science and TechnologyDirección de correo verificada de njust.edu.cn