xibin song
xibin song
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Title
Cited by
Cited by
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
8282017
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
822019
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
722016
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
582019
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
282018
Estimation of Kinect depth confidence through self-training
X Song, F Zhong, Y Wang, X Qin
The Visual Computer 30 (6), 855-865, 2014
252014
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
222020
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
192020
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
72018
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
62020
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
52020
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
52016
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
32021
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
32020
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, 2021
22021
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
22021
MapFusion: A General Framework for 3D Object Detection with HDMaps
J Fang, D Zhou, X Song, L Zhang
arXiv preprint arXiv:2103.05929, 2021
22021
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
22021
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
22020
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
22020
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