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...
share
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...
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...
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 ...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
research
∙
10/18/2021
CMTR: Cross-modality Transformer for Visible-infrared Person Re-identification
Visible-infrared cross-modality person re-identification is a challengin...
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 ...
research
∙
08/11/2021
Semi-Supervised Domain Generalizable Person Re-Identification
Existing person re-identification (re-id) methods are stuck when deploye...
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...
research
∙
07/07/2021
FasterPose: A Faster Simple Baseline for Human Pose Estimation
The performance of human pose estimation depends on the spatial accuracy...
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...
research
∙
03/23/2021
Group-aware Label Transfer for Domain Adaptive Person Re-identification
Unsupervised Domain Adaptive (UDA) person re-identification (ReID) aims ...
research
∙
03/02/2021
AttriMeter: An Attribute-guided Metric Interpreter for Person Re-Identification
Person Re-identification (ReID) has achieved significant improvement due...
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 ...
research
∙
10/27/2020
Synthetic Training for Monocular Human Mesh Recovery
Recovering 3D human mesh from monocular images is a popular topic in com...
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 ...
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...
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...
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...
research
∙
06/16/2019
Deep Recurrent Quantization for Generating Sequential Binary Codes
Quantization has been an effective technology in ANN (approximate neares...
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...
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...
research
∙
01/10/2019
Multi-Granularity Reasoning for Social Relation Recognition from Images
Discovering social relations in images can make machines better interpre...
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...
research
∙
10/18/2018
KTAN: Knowledge Transfer Adversarial Network
To reduce the large computation and storage cost of a deep convolutional...
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...
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...
research
∙
06/05/2017