Search Results for author: Zhipeng Zhou

Found 27 papers, 13 papers with code

CostFormer:Cost Transformer for Cost Aggregation in Multi-view Stereo

no code implementations17 May 2023 Weitao Chen, Hongbin Xu, Zhipeng Zhou, Yang Liu, Baigui Sun, Wenxiong Kang, Xuansong Xie

The Residual Depth-Aware Cost Transformer(RDACT) is proposed to aggregate long-range features on cost volume via self-attention mechanisms along the depth and spatial dimensions.

PointDC:Unsupervised Semantic Segmentation of 3D Point Clouds via Cross-modal Distillation and Super-Voxel Clustering

1 code implementation18 Apr 2023 Zisheng Chen, Hongbin Xu, Weitao Chen, Zhipeng Zhou, Haihong Xiao, Baigui Sun, Xuansong Xie, Wenxiong Kang

Semantic segmentation of point clouds usually requires exhausting efforts of human annotations, hence it attracts wide attention to the challenging topic of learning from unlabeled or weaker forms of annotations.

Clustering Segmentation +1

PointDC: Unsupervised Semantic Segmentation of 3D Point Clouds via Cross-Modal Distillation and Super-Voxel Clustering

1 code implementation ICCV 2023 Zisheng Chen, Hongbin Xu, Weitao Chen, Zhipeng Zhou, Haihong Xiao, Baigui Sun, Xuansong Xie, Wenxiong Kang

Semantic segmentation of point clouds usually requires exhausting efforts of human annotations, hence it attracts wide attention to a challenging topic of learning from unlabeled or weaker form of annotations.

Clustering Segmentation +1

COT: Unsupervised Domain Adaptation With Clustering and Optimal Transport

no code implementations CVPR 2023 Yang Liu, Zhipeng Zhou, Baigui Sun

To cope with two aforementioned issues, we propose a Clustering-based Optimal Transport (COT) algorithm, which formulates the alignment procedure as an Optimal Transport problem and constructs a mapping between clustering centers in the source and target domain via an end-to-end manner.

Clustering Transfer Learning +1

Class-Conditional Sharpness-Aware Minimization for Deep Long-Tailed Recognition

1 code implementation CVPR 2023 Zhipeng Zhou, Lanqing Li, Peilin Zhao, Pheng-Ann Heng, Wei Gong

It's widely acknowledged that deep learning models with flatter minima in its loss landscape tend to generalize better.

Long-tail Learning

Semi-supervised Deep Multi-view Stereo

no code implementations24 Jul 2022 Hongbin Xu, Weitao Chen, Yang Liu, Zhipeng Zhou, Haihong Xiao, Baigui Sun, Xuansong Xie, Wenxiong Kang

For further troublesome case that the basic assumption is conflicted in MVS data, we propose a novel style consistency loss to alleviate the negative effect caused by the distribution gap.

CP-Net: Contour-Perturbed Reconstruction Network for Self-Supervised Point Cloud Learning

no code implementations20 Jan 2022 Mingye Xu, Yali Wang, Zhipeng Zhou, Hongbin Xu, Yu Qiao

To fill this gap, we propose a generic Contour-Perturbed Reconstruction Network (CP-Net), which can effectively guide self-supervised reconstruction to learn semantic content in the point cloud, and thus promote discriminative power of point cloud representation.

Point cloud reconstruction Self-Supervised Learning

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

no code implementations27 Nov 2021 Yiwei Qiu, Jin Lin, Zhipeng Zhou, Ningyi Dai, Feng Liu, Yonghua Song

To fill this gap, this article finds that an accurate SDE model for PV power can be constructed by only using the cheap data from low-resolution public weather reports.

Time Series Time Series Analysis +1

Unsupervised Domain Adaptation By Optimal Transportation Of Clusters Between Domains

no code implementations29 Sep 2021 Yang Liu, Zhipeng Zhou, Lei Shang, Baigui Sun, Hao Li, Rong Jin

Unsupervised domain adaptation (UDA) aims to transfer the knowledge from a labeled source domain to an unlabeled target domain.

Attribute Clustering +2

Scaled ReLU Matters for Training Vision Transformers

no code implementations8 Sep 2021 Pichao Wang, Xue Wang, Hao Luo, Jingkai Zhou, Zhipeng Zhou, Fan Wang, Hao Li, Rong Jin

In this paper, we further investigate this problem and extend the above conclusion: only early convolutions do not help for stable training, but the scaled ReLU operation in the \textit{convolutional stem} (\textit{conv-stem}) matters.

Digging into Uncertainty in Self-supervised Multi-view Stereo

1 code implementation ICCV 2021 Hongbin Xu, Zhipeng Zhou, Yali Wang, Wenxiong Kang, Baigui Sun, Hao Li, Yu Qiao

Specially, the limitations can be categorized into two types: ambiguious supervision in foreground and invalid supervision in background.

Image Reconstruction Self-Supervised Learning

An Efficient Training Approach for Very Large Scale Face Recognition

1 code implementation CVPR 2022 Kai Wang, Shuo Wang, Panpan Zhang, Zhipeng Zhou, Zheng Zhu, Xiaobo Wang, Xiaojiang Peng, Baigui Sun, Hao Li, Yang You

This method adopts Dynamic Class Pool (DCP) for storing and updating the identities features dynamically, which could be regarded as a substitute for the FC layer.

 Ranked #1 on Face Verification on IJB-C (training dataset metric)

Face Recognition Face Verification

When to Fold'em: How to answer Unanswerable questions

1 code implementation1 May 2021 Marshall Ho, Zhipeng Zhou, Judith He

We present 3 different question-answering models trained on the SQuAD2. 0 dataset -- BIDAF, DocumentQA and ALBERT Retro-Reader -- demonstrating the improvement of language models in the past three years.

Language Modelling Question Answering

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

1 code implementation12 Apr 2021 Hongbin Xu, Zhipeng Zhou, Yu Qiao, Wenxiong Kang, Qiuxia Wu

Recent studies have witnessed that self-supervised methods based on view synthesis obtain clear progress on multi-view stereo (MVS).

Data Augmentation

MogFace: Towards a Deeper Appreciation on Face Detection

2 code implementations CVPR 2022 Yang Liu, Fei Wang, Jiankang Deng, Zhipeng Zhou, Baigui Sun, Hao Li

As a result, practical solutions on label assignment, scale-level data augmentation, and reducing false alarms are necessary for advancing face detectors.

Data Augmentation Face Detection

Investigate Indistinguishable Points in Semantic Segmentation of 3D Point Cloud

1 code implementation18 Mar 2021 Mingye Xu, Zhipeng Zhou, Junhao Zhang, Yu Qiao

This paper investigates the indistinguishable points (difficult to predict label) in semantic segmentation for large-scale 3D point clouds.

3D Semantic Segmentation Segmentation

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

no code implementations16 Mar 2021 Tianyu Luan, Yali Wang, Junhao Zhang, Zhe Wang, Zhipeng Zhou, Yu Qiao

By coupling advanced 3D pose estimators and HMR in a serial or parallel manner, these two frameworks can effectively correct human mesh with guidance of a concise pose calibration module.

3D Human Pose Estimation Human Mesh Recovery

Reinforcement Learning for Orientation Estimation Using Inertial Sensors with Performance Guarantee

no code implementations3 Mar 2021 Liang Hu, Yujie Tang, Zhipeng Zhou, Wei Pan

This paper presents a deep reinforcement learning (DRL) algorithm for orientation estimation using inertial sensors combined with magnetometer.

reinforcement-learning Reinforcement Learning (RL)

Reinforcement Learning for Control with Probabilistic Stability Guarantee

no code implementations1 Jan 2021 Minghao Han, Zhipeng Zhou, Lixian Zhang, Jun Wang, Wei Pan

Reinforcement learning is promising to control dynamical systems for which the traditional control methods are hardly applicable.

reinforcement-learning Reinforcement Learning (RL)

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

3 code implementations20 Dec 2020 Mutian Xu, Junhao Zhang, Zhipeng Zhou, Mingye Xu, Xiaojuan Qi, Yu Qiao

GDANet introduces Geometry-Disentangle Module to dynamically disentangle point clouds into the contour and flat part of 3D objects, respectively denoted by sharp and gentle variation components.

3D Object Classification 3D Part Segmentation +2

Geometry Sharing Network for 3D Point Cloud Classification and Segmentation

1 code implementation23 Dec 2019 Mingye Xu, Zhipeng Zhou, Yu Qiao

Specially, GS-Net consists of Geometry Similarity Connection (GSC) modules which exploit Eigen-Graph to group distant points with similar and relevant geometric information, and aggregate features from nearest neighbors in both Euclidean space and Eigenvalue space.

3D Point Cloud Classification Classification +3

A Strong Feature Representation for Siamese Network Tracker

no code implementations18 Jul 2019 Zhipeng Zhou, Rui Zhang, Dong Yin

Firstly, the modified pre-trained VGG16 network is fine-tuned as the backbone.

Object Tracking

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

no code implementations8 Mar 2018 Mingyue Yuan, Dong Yin, Jingwen Ding, Yuhao Luo, Zhipeng Zhou, Chengfeng Zhu, Rui Zhang

In this paper, we propose a novel framework with rules of updating images for person re-identification in real-world surveillance system.

Person Re-Identification Re-Ranking

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