| 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 | 302 | 2020 |
| 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 | 48 | 2020 |
| 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 | 45 | 2022 |
| 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 | 37 | 2022 |
| Deep direct visual odometry C Zhao, Y Tang, Q Sun, AV Vasilakos IEEE transactions on intelligent transportation systems 23 (7), 7733-7742, 2021 | 35 | 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 | 31 | 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 | 26 | 2021 |
| An overview of perception and decision-making in autonomous systems in the era of learning Y Tang, C Zhao, J Wang, C Zhang, Q Sun, W Zheng, W Du, F Qian, ... arXiv preprint arXiv:2001.02319, 2020 | 24 | 2020 |
| 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, 2023 | 19 | 2023 |
| 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 | 19 | 2020 |
| Aggressive quadrotor flight using curiosity-driven reinforcement learning Q Sun, J Fang, WX Zheng, Y Tang IEEE Transactions on Industrial Electronics 69 (12), 13838-13848, 2022 | 16 | 2022 |
| RoMa: Revisiting Robust Losses for Dense Feature Matching J Edstedt, Q Sun, G Bökman, M Wadenbäck, M Felsberg arXiv preprint arXiv:2305.15404, 2023 | 13 | 2023 |
| A survey on unsupervised domain adaptation in computer vision tasks FQ Qiyu Sun, Chaoqiang Zhao, Yang Tang Scientia Sinica Technologica 52 (1), 26-54, 2021 | 12* | 2021 |
| Trajectory planning in 3D dynamic environment with non-cooperative agents via fast marching and Bézier curve X Zong, Q Sun, D Yao, W Du, Y Tang Cyber-Physical Systems 5 (2), 119-143, 2019 | 11 | 2019 |
| 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 | 10 | 2019 |
| CMDA: Cross-modality domain adaptation for nighttime semantic segmentation R Xia, C Zhao, M Zheng, Z Wu, Q Sun, Y Tang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 9 | 2023 |
| Quadrotor navigation in dynamic environments with deep reinforcement learning J Fang, Q Sun, Y Chen, Y Tang Assembly Automation 41 (3), 254-262, 2021 | 6 | 2021 |
| Molecular joint representation learning via multi-modal information of smiles and graphs T Wu, Y Tang, Q Sun, L Xiong IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2023 | 4 | 2023 |
| Learn to adapt for monocular depth estimation Q Sun, GG Yen, Y Tang, C Zhao arXiv preprint arXiv:2203.14005, 2022 | 4 | 2022 |
| Perception and decision-making of autonomous systems in the era of learning: An overview Y Tang, C Zhao, J Wang, C Zhang, Q Sun, F Qian arXiv preprint arXiv:2001.02319, 2020 | 4 | 2020 |
Yang TangEast China University of Science and Technology, IEEE FellowVerified email at ecust.edu.cn
