123 citations · 291 across the 19 of their papers we have counts for
19 papers
TRACE: 5D Temporal Regression of Avatars with Dynamic Cameras in 3D Environments
Yu Sun, Qian Bao, Wu Liu +2
Although the estimation of 3D human pose and shape (HPS) is rapidly progressing, current methods still cannot reliably estimate moving humans in global coordinates, which is critic…
WOC: A Handy Webcam-based 3D Online Chatroom
Chuanhang Yan, Yu Sun, Qian Bao +3
We develop WOC, a webcam-based 3D virtual online chatroom for multi-person interaction, which captures the 3D motion of users and drives their individual 3D virtual avatars in real…
Putting People in their Place: Monocular Regression of 3D People in Depth
Yu Sun, Wu Liu, Qian Bao +3
Given an image with multiple people, our goal is to directly regress the pose and shape of all the people as well as their relative depth. Inferring the depth of a person in an ima…
FasterPose: A Faster Simple Baseline for Human Pose Estimation
Hanbin Dai, Hailin Shi, Wu Liu +3
The performance of human pose estimation depends on the spatial accuracy of keypoint localization. Most existing methods pursue the spatial accuracy through learning the high-resol…
Recent Advances in Monocular 2D and 3D Human Pose Estimation: A Deep Learning Perspective
Wu Liu, Qian Bao, Yu Sun +1
Estimation of the human pose from a monocular camera has been an emerging research topic in the computer vision community with many applications. Recently, benefited from the deep…
Group-aware Label Transfer for Domain Adaptive Person Re-identification
Kecheng Zheng, Wu Liu, Lingxiao He +3
Unsupervised Domain Adaptive (UDA) person re-identification (ReID) aims at adapting the model trained on a labeled source-domain dataset to a target-domain dataset without any furt…
TraND: Transferable Neighborhood Discovery for Unsupervised Cross-domain Gait Recognition
Jinkai Zheng, Xinchen Liu, Chenggang Yan +4
Gait, i.e., the movement pattern of human limbs during locomotion, is a promising biometric for the identification of persons. Despite significant improvement in gait recognition w…
Synthetic Training for Monocular Human Mesh Recovery
Yu Sun, Qian Bao, Wu Liu +4
Recovering 3D human mesh from monocular images is a popular topic in computer vision and has a wide range of applications. This paper aims to estimate 3D mesh of multiple body part…
Black Re-ID: A Head-shoulder Descriptor for the Challenging Problem of Person Re-Identification
Boqiang Xu, Lingxiao He, Xingyu Liao +3
Person re-identification (Re-ID) aims at retrieving an input person image from a set of images captured by multiple cameras. Although recent Re-ID methods have made great success,…
FastReID: A Pytorch Toolbox for General Instance Re-identification
Lingxiao He, Xingyu Liao, Wu Liu +3
General Instance Re-identification is a very important task in the computer vision, which can be widely used in many practical applications, such as person/vehicle re-identificatio…
A Real-time Action Representation with Temporal Encoding and Deep Compression
Kun Liu, Wu Liu, Huadong Ma +2
Deep neural networks have achieved remarkable success for video-based action recognition. However, most of existing approaches cannot be deployed in practice due to the high comput…
Human Mesh Recovery from Monocular Images via a Skeleton-disentangled Representation
Sun Yu, Ye Yun, Liu Wu +3
We describe an end-to-end method for recovering 3D human body mesh from single images and monocular videos. Different from the existing methods try to obtain all the complex 3D pos…
Foreground-aware Pyramid Reconstruction for Alignment-free Occluded Person Re-identification
Lingxiao He, Yinggang Wang, Wu Liu +4
Re-identifying a person across multiple disjoint camera views is important for intelligent video surveillance, smart retailing and many other applications. However, existing person…
Multi-Granularity Reasoning for Social Relation Recognition from Images
Meng Zhang, Xinchen Liu, Wu Liu +3
Discovering social relations in images can make machines better interpret the behavior of human beings. However, automatically recognizing social relations in images is a challengi…
PVSS: A Progressive Vehicle Search System for Video Surveillance Networks
Xinchen Liu, Wu Liu, Huadong Ma +1
This paper is focused on the task of searching for a specific vehicle that appeared in the surveillance networks. Existing methods usually assume the vehicle images are well croppe…
KTAN: Knowledge Transfer Adversarial Network
Peiye Liu, Wu Liu, Huadong Ma +2
To reduce the large computation and storage cost of a deep convolutional neural network, the knowledge distillation based methods have pioneered to transfer the generalization abil…
An efficient deep learning hashing neural network for mobile visual search
Heng Qi, Wu Liu, Liang Liu
Mobile visual search applications are emerging that enable users to sense their surroundings with smart phones. However, because of the particular challenges of mobile visual searc…
Generalized Zero-Shot Learning for Action Recognition with Web-Scale Video Data
Kun Liu, Wu Liu, Huadong Ma +2
Action recognition in surveillance video makes our life safer by detecting the criminal events or predicting violent emergencies. However, efficient action recognition is not free…
Hierarchical LSTM with Adjusted Temporal Attention for Video Captioning
Jingkuan Song, Zhao Guo, Lianli Gao +3
Recent progress has been made in using attention based encoder-decoder framework for video captioning. However, most existing decoders apply the attention mechanism to every genera…