| Ntire 2017 challenge on single image super-resolution: Methods and results R Timofte, E Agustsson, L Van Gool, MH Yang, L Zhang Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 608 | 2017 |
| Deep depth super-resolution: Learning depth super-resolution using deep convolutional neural network X Song, Y Dai, X Qin Asian conference on computer vision, 360-376, 2016 | 61 | 2016 |
| Iou loss for 2d/3d object detection D Zhou, J Fang, X Song, C Guan, J Yin, Y Dai, R Yang 2019 International Conference on 3D Vision (3DV), 85-94, 2019 | 37 | 2019 |
| Apollocar3d: A large 3d car instance understanding benchmark for autonomous driving X Song, P Wang, D Zhou, R Zhu, C Guan, Y Dai, H Su, H Li, R Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 35 | 2019 |
| Estimation of Kinect depth confidence through self-training X Song, F Zhong, Y Wang, X Qin The Visual Computer 30 (6), 855-865, 2014 | 24 | 2014 |
| Deeply supervised depth map super-resolution as novel view synthesis X Song, Y Dai, X Qin IEEE Transactions on circuits and systems for video technology 29 (8), 2323-2336, 2018 | 21 | 2018 |
| Modeling deviations of rgb-d cameras for accurate depth map and color image registration X Song, J Zheng, F Zhong, X Qin Multimedia Tools and Applications 77 (12), 14951-14977, 2018 | 6 | 2018 |
| Learning 2d-3d correspondences to solve the blind perspective-n-point problem L Liu, D Campbell, H Li, D Zhou, X Song, R Yang arXiv preprint arXiv:2003.06752, 2020 | 4 | 2020 |
| Edge-guided depth map enhancement X Song, H Huang, F Zhong, X Ma, X Qin 2016 23rd International Conference on Pattern Recognition (ICPR), 2758-2763, 2016 | 4 | 2016 |
| Joint 3D Instance Segmentation and Object Detection for Autonomous Driving D Zhou, J Fang, X Song, L Liu, J Yin, Y Dai, H Li, R Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 3 | 2020 |
| Channel attention based iterative residual learning for depth map super-resolution X Song, Y Dai, D Zhou, L Liu, W Li, H Li, R Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 3 | 2020 |
| FCFR-Net: Feature Fusion based Coarse-to-Fine Residual Learning for Monocular Depth Completion L Liu, X Song, X Lyu, J Diao, M Wang, Y Liu, L Zhang arXiv preprint arXiv:2012.08270, 2020 | | 2020 |
| RotPredictor: Unsupervised Canonical Viewpoint Learning for Point Cloud Classification J Fang, D Zhou, X Song, S Jin, R Yang, L Zhang 2020 International Conference on 3D Vision (3DV), 987-996, 2020 | | 2020 |
| AES: Autonomous Excavator System for Real-World and Hazardous Environments J Zhao, P Long, L Wang, L Qian, F Lu, X Song, D Manocha, L Zhang arXiv preprint arXiv:2011.04848, 2020 | | 2020 |
| Method and device for acquiring 3d information of object X Song, R Yang US Patent App. 16/773,286, 2020 | | 2020 |
| PerMO: Perceiving More at Once from a Single Image for Autonomous Driving F Lu, Z Liu, X Song, D Zhou, W Li, H Miao, M Liao, L Zhang, B Zhou, ... arXiv preprint arXiv:2007.08116, 2020 | | 2020 |
| Time Variable Minimum Torque Trajectory Optimization for Autonomous Excavator Y Yang, J Pan, P Long, X Song, L Zhang arXiv preprint arXiv:2006.00811, 2020 | | 2020 |
| METHOD AND APPARATUS FOR GENERATING INFORMATION X Song, H Jiang, R Yang US Patent App. 16/568,167, 2020 | | 2020 |
| IAFA: Instance-Aware Feature Aggregation for 3D Object Detection from a Single Image D Zhou, X Song, Y Dai, J Yin, F Lu, M Liao, J Fang, L Zhang Proceedings of the Asian Conference on Computer Vision, 2020 | | 2020 |
| ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for Autonomous Driving Download PDF X Song, P Wang, D Zhou, R Zhu, Y Dai, H Su, H Li, R Yang | | |
Ruigang YangBaidu Research/Professor of Computer Science, University of KentuckyVerified email at cs.uky.edu
