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Yan Xu
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Depth completion from sparse lidar data with depth-normal constraints
Y Xu, X Zhu, J Shi, G Zhang, H Bao, H Li
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
1632019
SSN: Shape Signature Networks for Multi-class Object Detection from Point Clouds
X Zhu, Y Ma, T Wang, Y Xu, J Shi, D Lin
European Conference on Computer Vision (ECCV) 2020, 2020
652020
Prior guided dropout for robust visual localization in dynamic environments
Z Huang, Y Xu, J Shi, X Zhou, H Bao, G Zhang
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
352019
Improving Visual Grounding with Visual-Linguistic Verification and Iterative Reasoning
L Yang*, Y Xu*, C Yuan, W Liu, B Li, W Hu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
122022
SelfVoxeLO: Self-supervised LiDAR Odometry with Voxel-based Deep Neural Networks
Y Xu, Z Huang, KY Lin, X Zhu, J Shi, H Bao, G Zhang, H Li
Conference on Robot Learning (CoRL) 2020, 2020
112020
RNNPose: Recurrent 6-DoF Object Pose Refinement with Robust Correspondence Field Estimation and Pose Optimization
Y Xu, KY Lin, G Zhang, X Wang, H Li
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
92022
VS-Net: Voting with segmentation for visual localization
Z Huang, H Zhou, Y Li, B Yang, Y Xu, X Zhou, H Bao, G Zhang, H Li
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
82021
PDNet: Toward Better One-Stage Object Detection With Prediction Decoupling
L Yang, Y Xu, S Wang, C Yuan, Z Zhang, B Li, W Hu
IEEE Transactions on Image Processing 31, 5121-5133, 2022
72022
Robust Self-Supervised LiDAR Odometry via Representative Structure Discovery and 3D Inherent Error Modeling
Y Xu, J Lin, J Shi, G Zhang, X Wang, H Li
IEEE Robotics and Automation Letters, 2022
52022
Life: Lighting invariant flow estimation
Z Huang, X Pan, R Xu, Y Xu, G Zhang, H Li
arXiv preprint arXiv:2104.03097, 2021
42021
Embodied Concept Learner: Self-supervised Learning of Concepts and Mapping through Instruction Following
M Ding, Y Xu, Z Chen, DD Cox, P Luo, JB Tenenbaum, C Gan
6th Annual Conference on Robot Learning, 2022
12022
NeuralMarker: A Framework for Learning General Marker Correspondence
Z Huang, X Pan, W Pan, W Bian, Y Xu, KC Cheung, G Zhang, H Li
ACM Transactions on Graphics (TOG) 41 (6), 1-10, 2022
2022
LiDAR Intensity Completion: Fully Exploiting the Message from LiDAR Sensors
W Dai, S Chen, Z Huang, Y Xu, D Kong
Sensors 22 (19), 7533, 2022
2022
NeRF-Loc: Transformer-Based Object Localization Within Neural Radiance Fields
J Sun, Y Xu, M Ding, H Yi, J Wang, L Zhang, M Schwager
arXiv preprint arXiv:2209.12068, 2022
2022
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