| 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 | 216 | 2019 |
| 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 | 195 | 2020 |
| 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 | 99 | 2021 |
| 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 | 98 | 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 | 66 | 2021 |
| 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 | 64 | 2014 |
| 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 | 53 | 2019 |
| 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 | 51 | 2021 |
| 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 | 51 | 2015 |
| 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 | 49 | 2019 |
| 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 | 49 | 2017 |
| Deep learning for image inpainting: A survey H Xiang, Q Zou, MA Nawaz, X Huang, F Zhang, H Yu Pattern Recognition 134, 109046, 2023 | 43 | 2023 |
| 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 | 39 | 2018 |
| Groupwise Tracking of Crowded Similar-Appearance Targets from Low-Continuity Image Sequences H Yu, Y Zhou, J Simmons, CP Przybyla, Y Lin, X Fan, Y Mi, S Wang IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016 | 36 | 2016 |
| 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 | 33 | 2023 |
| 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 | 32 | 2023 |
| System and method for vehicle occlusion detection YU Hongkai, Z Yan, P Wang, P Chen US Patent 10,311,312, 2019 | 29 | 2019 |
| 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, 2023 | 28 | 2023 |
| Advhaze: Adversarial haze attack R Gao, Q Guo, F Juefei-Xu, H Yu, W Feng arXiv preprint arXiv:2104.13673, 2021 | 27 | 2021 |
| Co-interest person detection from multiple wearable camera videos Y Lin, K Abdelfatah, Y Zhou, X Fan, H Yu, H Qian, S Wang Proceedings of the IEEE International Conference on Computer Vision, 4426-4434, 2015 | 26 | 2015 |
Song WangProfessor of Computer Science and Engineering, University of South CarolinaVerified email at cec.sc.edu
