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Year
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
10772017
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
1742019
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
952019
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
802016
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
582020
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
492020
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
372018
An autonomous excavator system for material loading tasks
L Zhang, J Zhao, P Long, L Wang, L Qian, F Lu, X Song, D Manocha
Science Robotics 6 (55), eabc3164, 2021
332021
Estimation of kinect depth confidence through self-training
X Song, F Zhong, Y Wang, X Qin
The Visual Computer 30 (6), 855-865, 2014
262014
Optimization-based framework for excavation trajectory generation
Y Yang, P Long, X Song, J Pan, L Zhang
IEEE Robotics and Automation Letters 6 (2), 1479-1486, 2021
16*2021
Fcfr-net: Feature fusion based coarse-to-fine residual learning for depth completion
L Liu, X Song, X Lyu, J Diao, M Wang, Y Liu, L Zhang
Proceedings of the AAAI Conference on Artificial Intelligence 35 (3), 2136-2144, 2021
142021
MLDA-Net: Multi-level dual attention-based network for self-supervised monocular depth estimation
X Song, W Li, D Zhou, Y Dai, J Fang, H Li, L Zhang
IEEE Transactions on Image Processing 30, 4691-4705, 2021
142021
FCFR-Net: Feature Fusion based Coarse-to-Fine Residual Learning for Depth Completion
L Liu, X Song, X Lyu, J Diao, M Wang, Y Liu, L Zhang
arXiv preprint arXiv:2012.08270, 2020
13*2020
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
122020
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
112018
Mapfusion: A general framework for 3d object detection with hdmaps
J Fang, D Zhou, X Song, L Zhang
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
92021
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
92020
Self-supervised monocular depth estimation for all day images using domain separation
L Liu, X Song, M Wang, Y Liu, L Zhang
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
82021
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
62016
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
52020
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