Xinge Zhu(祝新革)

Ph.D

The Chinese University of Hong Kong

香港中文大学

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His research interests include computer vision and deep learning, particularly in scene understanding and autonomous driving.

Papers22 papers

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Adversarial Attacks on Monocular Depth Estimation

Zhang Ziqi,Zhu Xinge,Li Yingwei, Chen Xiangqun, Guo Yao

Cited by1Bibtex

Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation

Xinge Zhu, Hui Zhou, Tai Wang, Fangzhou Hong, Yuexin Ma, Wei Li,Hongsheng Li,Dahua Lin

Bibtex

SelfVoxeLO: Self-supervised LiDAR Odometry with Voxel-based Deep Neural Networks

Yan Xu, Zhaoyang Huang,Kwan-Yee Lin,Xinge Zhu,Jianping Shi,Hujun Bao,Guofeng Zhang,Hongsheng Li

Bibtex

Channel-wise Alignment for Adaptive Object Detection

Hang Yang, Shan Jiang,Xinge Zhu, Mingyang Huang, Zhiqiang Shen,Chunxiao Liu,Jianping Shi

Bibtex

Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic Segmentation

Hui Zhou,Xinge Zhu,Xiao Song, Yuexin Ma,Zhe Wang,Hongsheng Li,Dahua Lin

Cited by9Bibtex

Tensor Low-Rank Reconstruction for Semantic Segmentation

Wanli Chen,Xinge Zhu, Ruoqi Sun, Junjun He, Ruiyu Li, Xiaoyong Shen, Bei Yu

european conference on computer vision, pp.52-69, (2020)

Bibtex

AutoTrajectory: Label-free Trajectory Extraction and Prediction from Videos using Dynamic Points

Yuexin Ma,Xinge ZHU, Xinjing Cheng, Ruigang Yang, Jiming Liu,Dinesh Manocha

european conference on computer vision, pp.646-662, (2020)

Bibtex

AdaStereo: A Simple and Efficient Approach for Adaptive Stereo Matching

Song Xiao,Yang Guorun,Zhu Xinge, Zhou Hui,Wang Zhe,Shi Jianping

Bibtex

SSN: Shape Signature Networks for Multi-class Object Detection from Point Clouds

Zhu Xinge, Ma Yuexin, Wang Tai, Xu Yan,Shi Jianping,Lin Dahua

european conference on computer vision, pp.581-597, (2020)

Bibtex

Reconfigurable Voxels: A New Representation for LiDAR-Based Point Clouds

Wang Tai,Zhu Xinge,Lin Dahua

Bibtex

A Hierarchical CNN-RNN Approach for Visual Emotion Classification

Liang Li,Xinge Zhu, Yiming Hao,Shuhui Wang, Xingyu Gao,Qingming Huang

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), no. 3s (2020): 1-17

EIBibtex

LiDAR-based Panoptic Segmentation via Dynamic Shifting Network

Fangzhou Hong, Hui Zhou,Xinge Zhu,Hongsheng Li,Ziwei Liu

Bibtex

Depth Completion From Sparse LiDAR Data With Depth-Normal Constraints

Yan Xu,Xinge Zhu,Jianping Shi,Guofeng Zhang,Hujun Bao,Hongsheng Li

2986701260, pp.2811-2820, (2019)

Cited by32EIBibtex

Adapting Object Detectors via Selective Cross-Domain Alignment

Xinge Zhu,Jiangmiao Pang,Ceyuan Yang,Jianping Shi,Dahua Lin

CVPR, pp.687-696, (2019)

Cited by43EIBibtex

Not All Areas Are Equal - Transfer Learning for Semantic Segmentation via Hierarchical Region Selection

Ruoqi Sun,Xinge Zhu,Chongruo Wu,Chen Huang,Jianping Shi,Lizhuang Ma

CVPR, pp.4360-4369, (2019)

Cited by12EIBibtex

High Performance Gesture Recognition via Effective and Efficient Temporal Modeling

Yang Yi,Feng Ni,Yuexin Ma,Xinge Zhu,Yuankai Qi,Riming Qiu,Shijie Zhao,Feng Li,Yongtao Wang

IJCAI, pp.1003-1009, (2019)

EIBibtex

TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents

Yuexin Ma,Xinge Zhu, Sibo Zhang,Ruigang Yang,Wenping Wang,Dinesh Manocha

national conference on artificial intelligence, (2019)

Cited by138EIBibtex

Penalizing Top Performers: Conservative Loss for Semantic Segmentation Adaptation

Xinge Zhu,Hui Zhou,Ceyuan Yang,Jianping Shi,Dahua Lin

ECCV, (2018): 587-603

Cited by44EIBibtex

Generative Adversarial Frontal View to Bird View Synthesis

Xinge Zhu, Zhichao Yin,Jianping Shi,Hongsheng Li,Dahua Lin

3DV, (2018)

Cited by14EIBibtex

Pose Guided Human Video Generation

Ceyuan Yang,Zhe Wang,Xinge Zhu,Chen Huang,Jianping Shi,Dahua Lin

ECCV, (2018)

Cited by38EIBibtex

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Xinge Zhu(祝新革)Binding

Papers22 papers

Xinge Zhu(祝新革)