Xinge Zhu
Xinge Zhu
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TrafficPredict: Trajectory prediction for heterogeneous traffic-agents
Y Ma*, X Zhu*, S Zhang, R Yang, W Wang, D Manocha
AAAI 2019, 2019
Adapting object detectors via selective cross-domain alignment
X Zhu, J Pang, C Yang, J Shi, D Lin
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
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
CVPR 2021 (Oral), 2021
FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection
T Wang, X Zhu, J Pang, D Lin
International Conference on Computer Vision Workshops (ICCVW), 2021
TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers
X Bai, Z Hu, X Zhu, Q Huang, Y Chen, H Fu, CL Tai
CVPR 2022, 2022
Depth Completion from Sparse LiDAR Data with Depth-Normal Constraints
Y Xu, X Zhu, J Shi, G Zhang, H Bao, H Li
ICCV 2019, 2019
Probabilistic and geometric depth: Detecting objects in perspective
T Wang, X Zhu, J Pang, D Lin
Conference on Robot Learning (CoRL), 2021
Pose Guided Human Video Generation
C Yang, Z Wang, X Zhu, C Huang, J Shi, D Lin
European Conference on Computer Vision (ECCV) 2018, 2018
Cylinder3d: An effective 3d framework for driving-scene lidar semantic segmentation
H Zhou, X Zhu, X Song, Y Ma, Z Wang, H Li, D Lin
arXiv preprint arXiv:2008.01550, 2020
Penalizing Top Performers: Conservative Loss for Semantic Segmentation Adaptation
X Zhu, H Zhou, C Yang, J Shi, D Lin
European Conference on Computer Vision (ECCV) 2018, 2018
Dependency Exploitation: A Unified CNN-RNN Approach for Visual Emotion Recognition
X Zhu, L Li, W Zhang, T Rao, M Xu, Q Huang, D Xu
Proceedings of the Internal Joint Conference on Artificial Intelligence …, 2017
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
Not all areas are equal: Transfer learning for semantic segmentation via hierarchical region selection
R Sun*, X Zhu*, C Wu, C Huang, J Shi, L Ma
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
LiDAR-based Panoptic Segmentation via Dynamic Shifting Network
F Hong, H Zhou, X Zhu, H Li, Z Liu
CVPR 2021, 2021
Tensor Low-Rank Reconstruction for Semantic Segmentation
W Chen, X Zhu, R Sun, J He, R Li, X Shen, B Yu
European Conference on Computer Vision (ECCV) 2020, 2020
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
Image to video person re-identification by learning heterogeneous dictionary pair with feature projection matrix
X Zhu, XY Jing, X You, W Zuo, S Shan, WS Zheng
IEEE Transactions on Information Forensics and Security 13 (3), 717-732, 2017
Point-to-voxel knowledge distillation for lidar semantic segmentation
Y Hou, X Zhu, Y Ma, CC Loy, Y Li
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
AdaStereo: a simple and efficient approach for adaptive stereo matching
X Song, G Yang, X Zhu, H Zhou, Z Wang, J Shi
CVPR 2021, 2020
Generative Adversarial Frontal View to Bird View Synthesis
X Zhu, Z Yin, J Shi, H Li, D Lin
2018 International Conference on 3D Vision (3DV), 454-463, 2018
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