| Cylindrical and asymmetrical 3d convolution networks for lidar segmentation X Zhu, H Zhou, T Wang, F Hong, Y Ma, W Li, H Li, D Lin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 633 | 2021 |
| AADS: Augmented autonomous driving simulation using data-driven algorithms W Li, C Pan, R Zhang, J Ren, Y Ma, J Fang, F Yan, Q Geng, X Huang, ... Science Robotics, 2019 | 207 | 2019 |
| Transferable Semantic Augmentation for Domain Adaptation S Li, M Xie, K Gong, CH Liu, Y Wang, W Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 154 | 2021 |
| Remaining Useful Life Prediction of Lithium-Ion Batteries Using Neural Network and Bat-Based Particle Filter Y Wu, W Li, Y Wang, K Zhang IEEE Access 7, 54843-54854, 2019 | 142 | 2019 |
| Cylindrical and asymmetrical 3d convolution networks for lidar-based perception X Zhu, H Zhou, T Wang, F Hong, W Li, Y Ma, H Li, R Yang, D Lin IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (10), 6807 …, 2021 | 112 | 2021 |
| Semantic Concentration for Domain Adaptation S Li, M Xie, F Lv, CH Liu, J Liang, C Qin, W Li Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 110 | 2021 |
| Transformation-equivariant 3D object detection for autonomous driving H Wu, C Wen, W Li, X Li, R Yang, C Wang Proceedings of the AAAI Conference on Artificial Intelligence 37 (3), 2795-2802, 2023 | 99 | 2023 |
| Asfm-net: Asymmetrical siamese feature matching network for point completion Y Xia, Y Xia, W Li, R Song, K Cao, U Stilla Proceedings of the 29th ACM International Conference on Multimedia, 1938-1947, 2021 | 92 | 2021 |
| Multi-view Depth Estimation using Epipolar Spatio-Temporal Networks X Long, L Liu, W Li, C Theobalt, W Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 80 | 2021 |
| Ganet: Goal area network for motion forecasting M Wang, X Zhu, C Yu, W Li, Y Ma, R Jin, X Ren, D Ren, M Wang, W Yang 2023 IEEE International Conference on Robotics and Automation (ICRA), 1609-1615, 2023 | 68 | 2023 |
| Adaptive surface normal constraint for depth estimation X Long, C Lin, L Liu, W Li, C Theobalt, R Yang, W Wang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 67 | 2021 |
| DVI: Depth Guided Video Inpainting for Autonomous Driving M Liao, F Lu, D Zhou, S Zhang, W Li, R Yang European Conference on Computer Vision, 1-17, 2020 | 52 | 2020 |
| CodeVIO: Visual-inertial odometry with learned optimizable dense depth X Zuo, N Merrill, W Li, Y Liu, M Pollefeys, G Huang 2021 IEEE International Conference on Robotics and Automation (ICRA), 14382 …, 2021 | 49 | 2021 |
| Ssda3d: Semi-supervised domain adaptation for 3d object detection from point cloud Y Wang, J Yin, W Li, P Frossard, R Yang, J Shen Proceedings of the AAAI Conference on Artificial Intelligence 37 (3), 2707-2715, 2023 | 46 | 2023 |
| Is-fusion: Instance-scene collaborative fusion for multimodal 3d object detection J Yin, J Shen, R Chen, W Li, R Yang, P Frossard, W Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 30 | 2024 |
| A lightweight and detector-free 3d single object tracker on point clouds Y Xia, Q Wu, W Li, AB Chan, U Stilla IEEE Transactions on Intelligent Transportation Systems 24 (5), 5543-5554, 2023 | 30 | 2023 |
| Fast texture mapping adjustment via local/global optimization W Li, H Gong, R Yang IEEE transactions on visualization and computer graphics 25 (6), 2296-2303, 2018 | 26 | 2018 |
| Exploiting Both Domain-specific and Invariant Knowledge via a Win-win Transformer for Unsupervised Domain Adaptation W Ma, J Zhang, S Li, CH Liu, Y Wang, W Li arXiv preprint arXiv:2111.12941, 2021 | 21 | 2021 |
| Dynamic Domain Adaptation for Efficient Inference S Li, J Zhang, W Ma, CH Liu, W Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 19 | 2021 |
| Inexact descent methods for elastic parameter optimization G Yan, W Li, R Yang, H Wang ACM Transactions on Graphics (TOG) 37 (6), 1-14, 2018 | 17 | 2018 |
Ruigang YangBaidu Research/Professor of Computer Science, University of KentuckyΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα cs.uky.edu
