Zhipeng Zhou

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Achieving an Accurate Random Process Model for PV Power using Cheap Data: Leveraging the SDE and Public Weather Reports

The stochastic differential equation (SDE)-based random process models o...
11/27/2021 ∙ by Yiwei Qiu, et al. ∙ 0 ∙ share

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Learning Dynamical Human-Joint Affinity for 3D Pose Estimation in Videos

Graph Convolution Network (GCN) has been successfully used for 3D human ...
09/15/2021 ∙ by Junhao Zhang, et al. ∙ 5 ∙ share

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Digging into Uncertainty in Self-supervised Multi-view Stereo

Self-supervised Multi-view stereo (MVS) with a pretext task of image rec...
08/30/2021 ∙ by Hongbin Xu, et al. ∙ 13 ∙ share

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An Efficient Training Approach for Very Large Scale Face Recognition

Face recognition has achieved significant progress in deep-learning era ...
05/21/2021 ∙ by Kai Wang, et al. ∙ 10 ∙ share

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When to Fold'em: How to answer Unanswerable questions

We present 3 different question-answering models trained on the SQuAD2.0...
05/01/2021 ∙ by Marshall Ho, et al. ∙ 0 ∙ share

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Self-supervised Multi-view Stereo via Effective Co-Segmentation and Data-Augmentation

Recent studies have witnessed that self-supervised methods based on view...
04/12/2021 ∙ by Hongbin Xu, et al. ∙ 0 ∙ share

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Practical Two-party Privacy-preserving Neural Network Based on Secret Sharing

Neural networks, with the capability to provide efficient predictive mod...
04/10/2021 ∙ by Zhengqiang Ge, et al. ∙ 0 ∙ share

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Investigate Indistinguishable Points in Semantic Segmentation of 3D Point Cloud

This paper investigates the indistinguishable points (difficult to predi...
03/18/2021 ∙ by Mingye Xu, et al. ∙ 6 ∙ share

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PC-HMR: Pose Calibration for 3D Human Mesh Recovery from 2D Images/Videos

The end-to-end Human Mesh Recovery (HMR) approach has been successfully ...
03/16/2021 ∙ by Tianyu Luan, et al. ∙ 3 ∙ share

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Reinforcement Learning for Orientation Estimation Using Inertial Sensors with Performance Guarantee

This paper presents a deep reinforcement learning (DRL) algorithm for or...
03/03/2021 ∙ by Liang Hu, et al. ∙ 0 ∙ share

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Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point Cloud

In 2D image processing, some attempts decompose images into high and low...
12/20/2020 ∙ by Mutian Xu, et al. ∙ 0 ∙ share

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SmallBigNet: Integrating Core and Contextual Views for Video Classification

Temporal convolution has been widely used for video classification. Howe...
06/25/2020 ∙ by Xianhang Li, et al. ∙ 0 ∙ share

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Geometry Sharing Network for 3D Point Cloud Classification and Segmentation

In spite of the recent progresses on classifying 3D point cloud with dee...
12/23/2019 ∙ by Mingye Xu, et al. ∙ 0 ∙ share

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A Strong Feature Representation for Siamese Network Tracker

Object tracking has important application in assistive technologies for ...
07/18/2019 ∙ by Zhipeng Zhou, et al. ∙ 0 ∙ share

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A framework with updateable joint images re-ranking for Person Re-identification

Person re-identification plays an important role in realistic video surv...
03/08/2018 ∙ by Mingyue Yuan, et al. ∙ 0 ∙ share

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Zhipeng Zhou

Featured Co-authors

Rui Zhang

Hao Li

Yu Qiao

Zhe Wang

Feng Liu

Kai Wang

Qiang Li

Shuo Wang

Wei Pan

Xiaojuan Qi

Yang You

Achieving an Accurate Random Process Model for PV Power using Cheap Data: Leveraging the SDE and Public Weather Reports

Learning Dynamical Human-Joint Affinity for 3D Pose Estimation in Videos

Digging into Uncertainty in Self-supervised Multi-view Stereo

An Efficient Training Approach for Very Large Scale Face Recognition

When to Fold'em: How to answer Unanswerable questions

Self-supervised Multi-view Stereo via Effective Co-Segmentation and Data-Augmentation

Practical Two-party Privacy-preserving Neural Network Based on Secret Sharing

Investigate Indistinguishable Points in Semantic Segmentation of 3D Point Cloud

PC-HMR: Pose Calibration for 3D Human Mesh Recovery from 2D Images/Videos

Reinforcement Learning for Orientation Estimation Using Inertial Sensors with Performance Guarantee

Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point Cloud

SmallBigNet: Integrating Core and Contextual Views for Video Classification

Geometry Sharing Network for 3D Point Cloud Classification and Segmentation

A Strong Feature Representation for Siamese Network Tracker

A framework with updateable joint images re-ranking for Person Re-identification