Zheng Zhang - AI Profile

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Microsoft Research Asia

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His current research focus is on deep learning for computer vision

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Papers18 papers

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A Closer Look at Local Aggregation Operators in Point Cloud Analysis

Ze Liu,Han Hu,Yue Cao,Zheng Zhang,Xin Tong

european conference on computer vision, pp.326-342, (2020)

Cited by7Bibtex

Negative Margin Matters: Understanding Margin in Few-shot Classification

Liu Bin,Cao Yue,Lin Yutong,Li Qi,Zhang Zheng,Long Mingsheng,Hu Han

european conference on computer vision, pp.438-455, (2020)

Cited by17Bibtex

Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation

Xie Zhenda,Zhang Zheng,Zhu Xizhou,Huang Gao,Lin Stephen

european conference on computer vision, pp.531-548, (2020)

Cited by5Bibtex

Dense RepPoints: Representing Visual Objects with Dense Point Sets

Yang Ze,Xu Yinghao, Xue Han,Zhang Zheng,Urtasun Raquel,Wang Liwei,Lin Stephen,Hu Han

european conference on computer vision, pp.227-244, (2019)

Cited by12Bibtex

Local Relation Networks for Image Recognition

Han Hu,Zheng Zhang, Zhenda Xie,Stephen Lin

International Conference on Computer Vision, pp.3464-3473, (2019)

Cited by12EIBibtex

Spatial-Temporal Relation Networks for Multi-Object Tracking

Jiarui Xu,Yue Cao,Zheng Zhang,Han Hu

International Conference on Computer Vision, pp.3988-3998, (2019)

Cited by15EIBibtex

An Empirical Study of Spatial Attention Mechanisms in Deep Networks

Xizhou Zhu, Dazhi Cheng,Zheng Zhang,Stephen Lin,Jifeng Dai

International Conference on Computer Vision, (2019): 6688-6697

Cited by18EIBibtex

Integrated Object Detection and Tracking with Tracklet-Conditioned Detection

Zheng Zhang, Dazhi Cheng,Xizhou Zhu,Stephen Lin,Jifeng Dai

arXiv: Computer Vision and Pattern Recognition, (2018)

Cited by2EIBibtex

Distributed Outlier Detection using Compressive Sensing

Ying Yan,Jiaxing Zhang,Bojun Huang,Xuzhan Sun,Jiaqi Mu,Zheng Zhang,Thomas Moscibroda

ACM SIGMOD Conference, pp.3-16, (2015)

Cited by16EIBibtex

The application of two-level attention models in deep convolutional neural network for fine-grained image classification

Tianjun Xiao,Yichong Xu,Kuiyuan Yang,Jiaxing Zhang,Yuxin Peng,Zheng Zhang

computer vision and pattern recognition, (2015): 842-850

Cited by475EIBibtex

Multiple Granularity Descriptors for Fine-Grained Categorization

Dequan Wang,Zhiqiang Shen,Jie Shao,Wei Zhang,Xiangyang Xue,Zheng Zhang

ICCV, (2015)

Cited by144EIBibtex

First Step toward Model-Free, Anonymous Object Tracking with Recurrent Neural Networks

Quan Gan,Qipeng Guo,Zheng Zhang,Kyunghyun Cho

arXiv: Computer Vision and Pattern Recognition, (2015)

Cited by55EIBibtex

Learning to Point and Count

Jie Shao, Dequan Wang,Xiangyang Xue,Zheng Zhang

CoRR, (2015)

Cited by5EIBibtex

MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems

Tianqi Chen,Mu Li, Yutian Li,Min Lin,Naiyan Wang,Minjie Wang,Tianjun Xiao,Bing Xu,Chiyuan Zhang,Zheng Zhang

CoRR, (2015)

Cited by1728EIBibtex

Error-Driven Incremental Learning in Deep Convolutional Neural Network for Large-Scale Image Classification

Tianjun Xiao,Jiaxing Zhang,Kuiyuan Yang,Yuxin Peng,Zheng Zhang

ACM Multimedia 2001, pp.177-186, (2014)

Cited by100EIBibtex

Impression store: compressive sensing-based storage for big data analytics

Jiaxing Zhang,Ying Yan,Liang Jeff Chen,Minjie Wang,Thomas Moscibroda,Zheng Zhang

HotCloud, pp.1-1, (2014)

Cited by14EIBibtex

Error-bounded Sampling for Analytics on Big Sparse Data

Ying Yan,Liang Jeff Chen,Zheng Zhang

PVLDB, no. 13 (2014): 1508-1519

Cited by22EIBibtex

Robust Incentives via Multi-level Tit-for-tat

Qiao Lian,Yu Peng,Mao Yang,Zheng Zhang,Yafei Dai,Xiaoming Li

Concurrency Computation Practice and Experience, no. 2 (2008): 167-178

Cited by91EIWOSSCOPUSBibtex

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Zheng ZhangResearch

Papers18 papers