123 citations · 291 across the 19 of their papers we have counts for
5 papers · 1 filter
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…