| Fusion of 3D LIDAR and camera data for object detection in autonomous vehicle applications X Zhao, P Sun, Z Xu, H Min, H Yu IEEE Sensors Journal 20 (9), 4901-4913, 2020 | 288 | 2020 |
| Visual attention consistency under image transforms for multi-label image classification H Guo, K Zheng, X Fan, H Yu, S Wang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 277 | 2019 |
| Auto-exposure fusion for single-image shadow removal L Fu, C Zhou, Q Guo, F Juefei-Xu, H Yu, W Feng, Y Liu, S Wang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 151 | 2021 |
| Deep learning for image inpainting: A survey H Xiang, Q Zou, MA Nawaz, X Huang, F Zhang, H Yu Pattern Recognition 134, 109046, 2023 | 140 | 2023 |
| V2v4real: A real-world large-scale dataset for vehicle-to-vehicle cooperative perception R Xu, X Xia, J Li, H Li, S Zhang, Z Tu, Z Meng, H Xiang, X Dong, R Song, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 132 | 2023 |
| Domain adaptation for convolutional neural networks-based remote sensing scene classification S Song, H Yu, Z Miao, Q Zhang, Y Lin, S Wang IEEE Geoscience and Remote Sensing Letters 16 (8), 1324-1328, 2019 | 130 | 2019 |
| DADA: Driver attention prediction in driving accident scenarios J Fang, D Yan, J Qiao, J Xue, H Yu IEEE transactions on intelligent transportation systems 23 (6), 4959-4971, 2021 | 112 | 2021 |
| Learning for vehicle-to-vehicle cooperative perception under lossy communication J Li, R Xu, X Liu, J Ma, Z Chi, J Ma, H Yu IEEE Transactions on Intelligent Vehicles 8 (4), 2650-2660, 2023 | 86 | 2023 |
| Domain adaptive object detection for autonomous driving under foggy weather J Li, R Xu, J Ma, Q Zou, J Ma, H Yu Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 78 | 2023 |
| Video‐based traffic data collection system for multiple vehicle types S Li, H Yu, J Zhang, K Yang, R Bin IET Intelligent Transport Systems 8 (2), 164-174, 2014 | 69 | 2014 |
| Domain adaptation from daytime to nighttime: A situation-sensitive vehicle detection and traffic flow parameter estimation framework J Li, Z Xu, L Fu, X Zhou, H Yu Transportation Research Part C: Emerging Technologies 124, 102946, 2021 | 68 | 2021 |
| Decision making through occluded intersections for autonomous driving X Lin, J Zhang, J Shang, Y Wang, H Yu, X Zhang 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 2449-2455, 2019 | 66 | 2019 |
| Degraded image semantic segmentation with dense-gram networks D Guo, Y Pei, K Zheng, H Yu, Y Lu, S Wang IEEE Transactions on Image Processing 29, 782-795, 2019 | 61 | 2019 |
| Bridging the domain gap for multi-agent perception R Xu, J Li, X Dong, H Yu, J Ma 2023 IEEE International Conference on Robotics and Automation (ICRA), 6035-6042, 2023 | 58 | 2023 |
| Loosecut: Interactive image segmentation with loosely bounded boxes H Yu, Y Zhou, H Qian, M Xian, S Wang 2017 IEEE International Conference on Image Processing (ICIP), 3335-3339, 2017 | 58 | 2017 |
| Automated lesion detection on MRI scans using combined unsupervised and supervised methods D Guo, J Fridriksson, P Fillmore, C Rorden, H Yu, K Zheng, S Wang BMC medical imaging 15, 1-21, 2015 | 55 | 2015 |
| Small object sensitive segmentation of urban street scene with spatial adjacency between object classes D Guo, L Zhu, Y Lu, H Yu, S Wang IEEE Transactions on Image Processing 28 (6), 2643-2653, 2018 | 47 | 2018 |
| Traffic accident detection via self-supervised consistency learning in driving scenarios J Fang, J Qiao, J Bai, H Yu, J Xue IEEE Transactions on Intelligent Transportation Systems 23 (7), 9601-9614, 2022 | 44 | 2022 |
| System and method for vehicle occlusion detection YU Hongkai, Z Yan, P Wang, P Chen US Patent 10,311,312, 2019 | 41 | 2019 |
| Convolutional neural networks based remote sensing scene classification under clear and cloudy environments H Sun, Y Lin, Q Zou, S Song, J Fang, H Yu Proceedings of the IEEE/CVF International Conference on Computer Vision, 713-720, 2021 | 38 | 2021 |
Song WangProfessor of Computer Science and Engineering, University of South Carolina在 cec.sc.edu 的電子郵件地址已通過驗證