activity
20182021
most citedAOT: Appearance Optimal Transport Based Identity Swapping for Forgery Detection

16 citations · 18 across the 2 of their papers we have counts for

collaborators

8 papers

cs.CV20212 cited

Everything's Talkin': Pareidolia Face Reenactment

Linsen Song, Wayne Wu, Chaoyou Fu +3

We present a new application direction named Pareidolia Face Reenactment, which is defined as animating a static illusory face to move in tandem with a human face in the video. For…

cs.CV2021

CM-NAS: Cross-Modality Neural Architecture Search for Visible-Infrared Person Re-Identification

Chaoyou Fu, Yibo Hu, Xiang Wu +3

Visible-Infrared person re-identification (VI-ReID) aims to match cross-modality pedestrian images, breaking through the limitation of single-modality person ReID in dark environme…

cs.CV202016 cited

AOT: Appearance Optimal Transport Based Identity Swapping for Forgery Detection

Hao Zhu, Chaoyou Fu, Qianyi Wu +3

Recent studies have shown that the performance of forgery detection can be improved with diverse and challenging Deepfakes datasets. However, due to the lack of Deepfakes datasets…

cs.CV2020

DVG-Face: Dual Variational Generation for Heterogeneous Face Recognition

Chaoyou Fu, Xiang Wu, Yibo Hu +2

Heterogeneous Face Recognition (HFR) refers to matching cross-domain faces and plays a crucial role in public security. Nevertheless, HFR is confronted with challenges from large d…

cs.CV2019

Cross-Spectral Face Hallucination via Disentangling Independent Factors

Boyan Duan, Chaoyou Fu, Yi Li +2

The cross-sensor gap is one of the challenges that have aroused much research interests in Heterogeneous Face Recognition (HFR). Although recent methods have attempted to fill the…

cs.CV2019

High Fidelity Face Manipulation with Extreme Poses and Expressions

Chaoyou Fu, Yibo Hu, Xiang Wu +3

Face manipulation has shown remarkable advances with the flourish of Generative Adversarial Networks. However, due to the difficulties of controlling structures and textures, it is…