| Monocular depth estimation based on deep learning: An overview C Zhao, Q Sun, C Zhang, Y Tang, F Qian Science China Technological Sciences 63 (9), 1612-1627, 2020 | 424 | 2020 |
| MonoViT: Self-Supervised Monocular Depth Estimation with a Vision Transformer C Zhao, Y Zhang, M Poggi, F Tosi, X Guo, Z Zhu, G Huang, Y Tang, ... International Conference on 3D Vision, 2022 | 356 | 2022 |
| Perception and Navigation in Autonomous Systems in the Era of Learning: A Survey Y Tang, C Zhao, J Wang, C Zhang, Q Sun, WX Zheng, W Du, F Qian, ... IEEE Transactions on Neural Networks and Learning Systems, 2022 | 182* | 2022 |
| Visual semantic segmentation based on few/zero-shot learning: An overview W Ren, Y Tang, Q Sun, C Zhao, QL Han IEEE/CAA Journal of Automatica Sinica 11 (5), 1106-1126, 2023 | 77 | 2023 |
| Masked GAN for unsupervised depth and pose prediction with scale consistency C Zhao, GG Yen, Q Sun, C Zhang, Y Tang IEEE Transactions on Neural Networks and Learning Systems 32 (12), 5392-5403, 2020 | 75 | 2020 |
| Unsupervised monocular depth estimation in highly complex environments C Zhao, Y Tang, Q Sun IEEE Transactions on Emerging Topics in Computational Intelligence 6 (5 …, 2022 | 69 | 2022 |
| Deep direct visual odometry C Zhao, Y Tang, Q Sun, AV Vasilakos IEEE transactions on intelligent transportation systems 23 (7), 7733-7742, 2021 | 61 | 2021 |
| Multitask GANs for semantic segmentation and depth completion with cycle consistency C Zhang, Y Tang, C Zhao, Q Sun, Z Ye, J Kurths IEEE Transactions on Neural Networks and Learning Systems 32 (12), 5404-5415, 2021 | 56 | 2021 |
| Unsupervised estimation of monocular depth and VO in dynamic environments via hybrid masks Q Sun, Y Tang, C Zhang, C Zhao, F Qian, J Kurths IEEE Transactions on Neural Networks and Learning Systems 33 (5), 2023-2033, 2021 | 53 | 2021 |
| CMDA: Cross-Modality Domain Adaptation for Nighttime Semantic Segmentation R Xia, C Zhao, M Zheng, Z Wu, Q Sun, Y Tang ICCV 2023, 2023 | 52 | 2023 |
| Gasmono: Geometry-aided self-supervised monocular depth estimation for indoor scenes C Zhao, M Poggi, F Tosi, L Zhou, Q Sun, Y Tang, S Mattoccia Proceedings of the IEEE/CVF international conference on computer vision …, 2023 | 45 | 2023 |
| The monocular depth estimation challenge J Spencer, CS Qian, C Russell, S Hadfield, E Graf, W Adams, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 38 | 2023 |
| Causal reasoning in typical computer vision tasks K Zhang, Q Sun, C Zhao, Y Tang Science China Technological Sciences 67 (1), 105-120, 2024 | 29 | 2024 |
| When autonomous systems meet accuracy and transferability through AI: A survey C Zhang, J Wang, GG Yen, C Zhao, Q Sun, Y Tang, F Qian, J Kurths Patterns 1 (4), 2020 | 28 | 2020 |
| The second monocular depth estimation challenge J Spencer, CS Qian, M Trescakova, C Russell, S Hadfield, EW Graf, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 18 | 2023 |
| Cycle-SfM: Joint self-supervised learning of depth and camera motion from monocular image sequences Q Sun, Y Tang, C Zhao Chaos: An Interdisciplinary Journal of Nonlinear Science 29 (12), 2019 | 12 | 2019 |
| Self-supervised depth super-resolution with contrastive multiview pre-training X Qiao, C Ge, C Zhao, F Tosi, M Poggi, S Mattoccia Neural Networks 168, 223-236, 2023 | 11 | 2023 |
| Learn to adapt for self-supervised monocular depth estimation Q Sun, GG Yen, Y Tang, C Zhao IEEE Transactions on Neural Networks and Learning Systems 35 (11), 15647-15659, 2023 | 7 | 2023 |
| Self-supervised monocular depth estimation in the dark: Towards data distribution compensation H Yang, C Zhao, L Sheng, Y Tang arXiv preprint arXiv:2404.13854, 2024 | 6 | 2024 |
| 基于无监督域自适应的计算机视觉任务研究进展 孙琦钰， 赵超强， 唐漾， 钱锋 中国科学: 技术科学 52 (1), 26-54, 2022 | 6 | 2022 |
Yang TangIEEE Fellow, Professor, East China University of Science and TechnologyVerified email at ecust.edu.cn
