activity
20172023
most citedLearning a High Fidelity Pose Invariant Model for High-resolution Face Frontalization

55 citations · 181 across the 19 of their papers we have counts for

collaborators

19 papers

cs.CV2023

CHATEDIT: Towards Multi-turn Interactive Facial Image Editing via Dialogue

Xing Cui, Zekun Li, Peipei Li +3

This paper explores interactive facial image editing via dialogue and introduces the ChatEdit benchmark dataset for evaluating image editing and conversation abilities in this cont…

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.CV2021★ 13 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★ 14 cited

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★ 8 cited

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.CV2020★ 8 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…

cs.CV2019★ 7 cited

M2FPA: A Multi-Yaw Multi-Pitch High-Quality Database and Benchmark for Facial Pose Analysis

Peipei Li, Xiang Wu, Yibo Hu +2

Facial images in surveillance or mobile scenarios often have large view-point variations in terms of pitch and yaw angles. These jointly occurred angle variations make face recogni…

cs.CV2019★ 3 cited

UVA: A Universal Variational Framework for Continuous Age Analysis

Peipei Li, Huaibo Huang, Yibo Hu +3

Conventional methods for facial age analysis tend to utilize accurate age labels in a supervised way. However, existing age datasets lies in a limited range of ages, leading to a l…

cs.CV2019★ 9 cited

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…

cs.CV2019★ 8 cited

Dual Variational Generation for Low-Shot Heterogeneous Face Recognition

Chaoyou Fu, Xiang Wu, Yibo Hu +2

Heterogeneous Face Recognition (HFR) is a challenging issue because of the large domain discrepancy and a lack of heterogeneous data. This paper considers HFR as a dual generation…

cs.CV2018★ 6 cited

A Coupled Evolutionary Network for Age Estimation

Peipei Li, Yibo Hu, Ran He +1

Age estimation of unknown persons is a challenging pattern analysis task due to the lacking of training data and various aging mechanisms for different people. Label distribution l…

cs.CV2018★ 3 cited

Global and Local Consistent Wavelet-domain Age Synthesis

Peipei Li, Yibo Hu, Ran He +1

Age synthesis is a challenging task due to the complicated and non-linear transformation in human aging process. Aging information is usually reflected in local facial parts, such…

cs.CV2018★ 5 cited

Geometry-Aware Face Completion and Editing

Linsen Song, Jie Cao, Linxiao Song +2

Face completion is a challenging generation task because it requires generating visually pleasing new pixels that are semantically consistent with the unmasked face region. This pa…

cs.CV2018★ 55 cited

Learning a High Fidelity Pose Invariant Model for High-resolution Face Frontalization

Jie Cao, Yibo Hu, Hongwen Zhang +2

Face frontalization refers to the process of synthesizing the frontal view of a face from a given profile. Due to self-occlusion and appearance distortion in the wild, it is extrem…

cs.CV2018★ 19 cited

Load Balanced GANs for Multi-view Face Image Synthesis

Jie Cao, Yibo Hu, Bing Yu +2

Multi-view face synthesis from a single image is an ill-posed problem and often suffers from serious appearance distortion. Producing photo-realistic and identity preserving multi-…

cs.CV2018★ 14 cited

Global and Local Consistent Age Generative Adversarial Networks

Peipei Li, Yibo Hu, Qi Li +2

Age progression/regression is a challenging task due to the complicated and non-linear transformation in human aging process. Many researches have shown that both global and local…

cs.CV2017★ 7 cited

Learning Disentangling and Fusing Networks for Face Completion Under Structured Occlusions

Zhihang Li, Yibo Hu, Ran He

Face completion aims to generate semantically new pixels for missing facial components. It is a challenging generative task due to large variations of face appearance. This paper s…

cs.CV2017★ 2 cited

Attention-Set based Metric Learning for Video Face Recognition

Yibo Hu, Xiang Wu, Ran He

Face recognition has made great progress with the development of deep learning. However, video face recognition (VFR) is still an ongoing task due to various illumination, low-reso…