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20192026
most citedFastReID: A Pytorch Toolbox for General Instance Re-identification

123 citations · 146 across the 19 of their papers we have counts for

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Showing 2022Show all

6 papers · 1 filter

cs.CV2022★ 1 cited

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

Guang Yang, Wu Liu, Xinchen Liu +3

Human motion transfer refers to synthesizing photo-realistic and temporally coherent videos that enable one person to imitate the motion of others. However, current synthetic video…

cs.CV2022

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

Quanwei Yang, Xinchen Liu, Wu Liu +4

Human Video Motion Transfer (HVMT) aims to, given an image of a source person, generate his/her video that imitates the motion of the driving person. Existing methods for HVMT main…

cs.CV2022

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

Xiaodong Chen, Wu Liu, Xinchen Liu +3

Recognizing human actions from point cloud videos has attracted tremendous attention from both academia and industry due to its wide applications like automatic driving, robotics,…

cs.CV2022

Gait Recognition in the Wild with Multi-hop Temporal Switch

Jinkai Zheng, Xinchen Liu, Xiaoyan Gu +5

Existing studies for gait recognition are dominated by in-the-lab scenarios. Since people live in real-world senses, gait recognition in the wild is a more practical problem that h…

cs.CV2022★ 10 cited

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

Jinkai Zheng, Xinchen Liu, Wu Liu +3

Existing studies for gait recognition are dominated by 2D representations like the silhouette or skeleton of the human body in constrained scenes. However, humans live and walk in…

cs.CV2022

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

Xiaodong Chen, Xinchen Liu, Wu Liu +4

Action recognition from videos, i.e., classifying a video into one of the pre-defined action types, has been a popular topic in the communities of artificial intelligence, multimed…