activity
20172022
most citedGlobal and Local Consistent Age Generative Adversarial Networks

14 citations · 45 across the 6 of their papers we have counts for

collaborators

17 papers

cs.CV2022

Scale Attention for Learning Deep Face Representation: A Study Against Visual Scale Variation

Hailin Shi, Hang Du, Yibo Hu +3

Human face images usually appear with wide range of visual scales. The existing face representations pursue the bandwidth of handling scale variation via multi-scale scheme that as…

cs.CV202113 cited

Dive into Ambiguity: Latent Distribution Mining and Pairwise Uncertainty Estimation for Facial Expression Recognition

Jiahui She, Yibo Hu, Hailin Shi +3

Due to the subjective annotation and the inherent interclass similarity of facial expressions, one of key challenges in Facial Expression Recognition (FER) is the annotation ambigu…

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.CV2021

FaceX-Zoo: A PyTorch Toolbox for Face Recognition

Jun Wang, Yinglu Liu, Yibo Hu +2

Deep learning based face recognition has achieved significant progress in recent years. Yet, the practical model production and further research of deep face recognition are in gre…

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.CV20208 cited

TF-NAS: Rethinking Three Search Freedoms of Latency-Constrained Differentiable Neural Architecture Search

Yibo Hu, Xiang Wu, Ran He

With the flourish of differentiable neural architecture search (NAS), automatically searching latency-constrained architectures gives a new perspective to reduce human labor and ex…