151 citations · 292 across the 18 of their papers we have counts for
18 papers
Generating Adversarial Events: A Motion-Aware Point Cloud Framework
Hongwei Ren, Youxin Jiang, Qifei Gu +1
Event cameras have been widely adopted in safety-critical domains such as autonomous driving, robotics, and human-computer interaction. A pressing challenge arises from the vulnera…
Imbalance Robust Softmax for Deep Embeeding Learning
Hao Zhu, Yang Yuan, Guosheng Hu +2
Deep embedding learning is expected to learn a metric space in which features have smaller maximal intra-class distance than minimal inter-class distance. In recent years, one rese…
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…
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…
HAMBox: Delving into Online High-quality Anchors Mining for Detecting Outer Faces
Yang Liu, Xu Tang, Xiang Wu +3
Current face detectors utilize anchors to frame a multi-task learning problem which combines classification and bounding box regression. Effective anchor design and anchor matching…
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…
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…
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…
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…
Neurons Merging Layer: Towards Progressive Redundancy Reduction for Deep Supervised Hashing
Chaoyou Fu, Liangchen Song, Xiang Wu +2
Deep supervised hashing has become an active topic in information retrieval. It generates hashing bits by the output neurons of a deep hashing network. During binary discretization…
Disentangled Variational Representation for Heterogeneous Face Recognition
Xiang Wu, Huaibo Huang, Vishal M. Patel +2
Visible (VIS) to near infrared (NIR) face matching is a challenging problem due to the significant domain discrepancy between the domains and a lack of sufficient data for training…
Adversarial Discriminative Heterogeneous Face Recognition
Lingxiao Song, Man Zhang, Xiang Wu +1
The gap between sensing patterns of different face modalities remains a challenging problem in heterogeneous face recognition (HFR). This paper proposes an adversarial discriminati…
Anti-Makeup: Learning A Bi-Level Adversarial Network for Makeup-Invariant Face Verification
Yi Li, Lingxiao Song, Xiang Wu +2
Makeup is widely used to improve facial attractiveness and is well accepted by the public. However, different makeup styles will result in significant facial appearance changes. It…
Wasserstein CNN: Learning Invariant Features for NIR-VIS Face Recognition
Ran He, Xiang Wu, Zhenan Sun +1
Heterogeneous face recognition (HFR) aims to match facial images acquired from different sensing modalities with mission-critical applications in forensics, security and commercial…
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…
Coupled Deep Learning for Heterogeneous Face Recognition
Xiang Wu, Lingxiao Song, Ran He +1
Heterogeneous face matching is a challenge issue in face recognition due to large domain difference as well as insufficient pairwise images in different modalities during training.…
A Light CNN for Deep Face Representation with Noisy Labels
Xiang Wu, Ran He, Zhenan Sun +1
The volume of convolutional neural network (CNN) models proposed for face recognition has been continuously growing larger to better fit large amount of training data. When trainin…
Learning Robust Deep Face Representation
Xiang Wu
With the development of convolution neural network, more and more researchers focus their attention on the advantage of CNN for face recognition task. In this paper, we propose a d…