b'Wu Liu'

research

∙ 08/31/2023

Parsing is All You Need for Accurate Gait Recognition in the Wild

Binary silhouettes and keypoint-based skeletons have dominated human gai...

0 Jinkai Zheng, et al. ∙

research

∙ 07/17/2023

Bridging the Gap: Multi-Level Cross-Modality Joint Alignment for Visible-Infrared Person Re-Identification

Visible-Infrared person Re-IDentification (VI-ReID) is a challenging cro...

0 Tengfei Liang, et al. ∙

research

∙ 06/05/2023

TRACE: 5D Temporal Regression of Avatars with Dynamic Cameras in 3D Environments

Although the estimation of 3D human pose and shape (HPS) is rapidly prog...

0 Yu Sun, et al. ∙

research

∙ 09/02/2022

DPIT: Dual-Pipeline Integrated Transformer for Human Pose Estimation

Human pose estimation aims to figure out the keypoints of all people in ...

0 Shuaitao Zhao, et al. ∙

research

∙ 09/02/2022

WOC: A Handy Webcam-based 3D Online Chatroom

We develop WOC, a webcam-based 3D virtual online chatroom for multi-pers...

4 Chuanhang Yan, et al. ∙

research

∙ 09/01/2022

REMOT: A Region-to-Whole Framework for Realistic Human Motion Transfer

Human Video Motion Transfer (HVMT) aims to, given an image of a source p...

0 Quanwei Yang, et al. ∙

research

∙ 09/01/2022

MAPLE: Masked Pseudo-Labeling autoEncoder for Semi-supervised Point Cloud Action Recognition

Recognizing human actions from point cloud videos has attracted tremendo...

0 Xiaodong Chen, et al. ∙

research

∙ 09/01/2022

Gait Recognition in the Wild with Multi-hop Temporal Switch

Existing studies for gait recognition are dominated by in-the-lab scenar...

0 Jinkai Zheng, et al. ∙

research

∙ 09/01/2022

Delving into the Frequency: Temporally Consistent Human Motion Transfer in the Fourier Space

Human motion transfer refers to synthesizing photo-realistic and tempora...

7 Guang Yang, et al. ∙

research

∙ 07/27/2022

SiRi: A Simple Selective Retraining Mechanism for Transformer-based Visual Grounding

In this paper, we investigate how to achieve better visual grounding wit...

0 Mengxue Qu, et al. ∙

research

∙ 06/04/2022

CAINNFlow: Convolutional block Attention modules and Invertible Neural Networks Flow for anomaly detection and localization tasks

Detection of object anomalies is crucial in industrial processes, but un...

9 Ruiqing Yan, et al. ∙

research

∙ 06/02/2022

Structured Two-stream Attention Network for Video Question Answering

To date, visual question answering (VQA) (i.e., image QA and video QA) i...

0 Lianli Gao, et al. ∙

research

∙ 04/06/2022

Gait Recognition in the Wild with Dense 3D Representations and A Benchmark

Existing studies for gait recognition are dominated by 2D representation...

0 Jinkai Zheng, et al. ∙

research

∙ 03/09/2022

Part-level Action Parsing via a Pose-guided Coarse-to-Fine Framework

Action recognition from videos, i.e., classifying a video into one of th...

0 Xiaodong Chen, et al. ∙

research

∙ 12/15/2021

Putting People in their Place: Monocular Regression of 3D People in Depth

Given an image with multiple people, our goal is to directly regress the...

17 Yu Sun, et al. ∙

research

∙ 10/21/2021

MSO: Multi-Feature Space Joint Optimization Network for RGB-Infrared Person Re-Identification

The RGB-infrared cross-modality person re-identification (ReID) task aim...

0 Yajun Gao, et al. ∙

research

∙ 10/18/2021

CMTR: Cross-modality Transformer for Visible-infrared Person Re-identification

Visible-infrared cross-modality person re-identification is a challengin...

13 Tengfei Liang, et al. ∙

research

∙ 10/07/2021

A Baseline Framework for Part-level Action Parsing and Action Recognition

This technical report introduces our 2nd place solution to Kinetics-TPS ...

0 Xiaodong Chen, et al. ∙

research

∙ 08/11/2021

Semi-Supervised Domain Generalizable Person Re-Identification

Existing person re-identification (re-id) methods are stuck when deploye...

0 Lingxiao He, et al. ∙

research

∙ 07/31/2021

Learning Instance-level Spatial-Temporal Patterns for Person Re-identification

Person re-identification (Re-ID) aims to match pedestrians under dis-joi...

0 Min Ren, et al. ∙

research

∙ 07/07/2021

FasterPose: A Faster Simple Baseline for Human Pose Estimation

The performance of human pose estimation depends on the spatial accuracy...

0 Hanbin Dai, et al. ∙

research

∙ 04/23/2021

Recent Advances in Monocular 2D and 3D Human Pose Estimation: A Deep Learning Perspective

Estimation of the human pose from a monocular camera has been an emergin...

10 Wu Liu, et al. ∙

research

∙ 03/23/2021

Group-aware Label Transfer for Domain Adaptive Person Re-identification

Unsupervised Domain Adaptive (UDA) person re-identification (ReID) aims ...

0 Kecheng Zheng, et al. ∙

research

∙ 03/02/2021

AttriMeter: An Attribute-guided Metric Interpreter for Person Re-Identification

Person Re-identification (ReID) has achieved significant improvement due...

0 Xiaodong Chen, et al. ∙

research

∙ 02/09/2021

TraND: Transferable Neighborhood Discovery for Unsupervised Cross-domain Gait Recognition

Gait, i.e., the movement pattern of human limbs during locomotion, is a ...

0 Jinkai Zheng, et al. ∙

research

∙ 10/27/2020

Synthetic Training for Monocular Human Mesh Recovery

Recovering 3D human mesh from monocular images is a popular topic in com...

4 Yu Sun, et al. ∙

research

∙ 08/27/2020

CenterHMR: a Bottom-up Single-shot Method for Multi-person 3D Mesh Recovery from a Single Image

In this paper, we propose a method to recover multi-person 3D mesh from ...

6 Yu Sun, et al. ∙

research

∙ 08/19/2020

Black Re-ID: A Head-shoulder Descriptor for the Challenging Problem of Person Re-Identification

Person re-identification (Re-ID) aims at retrieving an input person imag...

4 Boqiang Xu, et al. ∙

research

∙ 06/17/2020

A Real-time Action Representation with Temporal Encoding and Deep Compression

Deep neural networks have achieved remarkable success for video-based ac...

0 Kun Liu, et al. ∙

research

∙ 06/04/2020

FastReID: A Pytorch Toolbox for Real-world Person Re-identification

We present FastReID, as a widely used object re-identification (re-id) s...

26 Lingxiao He, et al. ∙

research

∙ 06/16/2019

Deep Recurrent Quantization for Generating Sequential Binary Codes

Quantization has been an effective technology in ANN (approximate neares...

2 Jingkuan Song, et al. ∙

research

∙ 04/10/2019

Foreground-aware Pyramid Reconstruction for Alignment-free Occluded Person Re-identification

Re-identifying a person across multiple disjoint camera views is importa...

0 Lingxiao He, et al. ∙

research

∙ 02/19/2019

WIDER Face and Pedestrian Challenge 2018: Methods and Results

This paper presents a review of the 2018 WIDER Challenge on Face and Ped...

6 Chen Change Loy, et al. ∙

research

∙ 01/10/2019

Multi-Granularity Reasoning for Social Relation Recognition from Images

Discovering social relations in images can make machines better interpre...

0 Meng Zhang, et al. ∙

research

∙ 01/10/2019

PVSS: A Progressive Vehicle Search System for Video Surveillance Networks

This paper is focused on the task of searching for a specific vehicle th...

0 Xinchen Liu, et al. ∙

research

∙ 10/18/2018

KTAN: Knowledge Transfer Adversarial Network

To reduce the large computation and storage cost of a deep convolutional...

0 Peiye Liu, et al. ∙

research

∙ 10/21/2017

An efficient deep learning hashing neural network for mobile visual search

Mobile visual search applications are emerging that enable users to sens...

0 Heng Qi, et al. ∙

research

∙ 10/20/2017

Generalized Zero-Shot Learning for Action Recognition with Web-Scale Video Data

Action recognition in surveillance video makes our life safer by detecti...

0 Kun Liu, et al. ∙

research

∙ 06/05/2017

Hierarchical LSTM with Adjusted Temporal Attention for Video Captioning

Recent progress has been made in using attention based encoder-decoder f...

0 Jingkuan Song, et al. ∙

Wu Liu

Featured Co-authors