225 citations · 340 across the 18 of their papers we have counts for
18 papers
LoD: Loss-difference OOD Detection by Intentionally Label-Noisifying Unlabeled Wild Data
Chuanxing Geng, Qifei Li, Xinrui Wang +3
Using unlabeled wild data containing both in-distribution (ID) and out-of-distribution (OOD) data to improve the safety and reliability of models has recently received increasing a…
Vertical Federated Learning for Effectiveness, Security, Applicability: A Survey
Mang Ye, Wei Shen, Bo Du +3
Vertical Federated Learning (VFL) is a privacy-preserving distributed learning paradigm where different parties collaboratively learn models using partitioned features of shared sa…
Dynamic Against Dynamic: An Open-set Self-learning Framework
Haifeng Yang, Chuanxing Geng, Pong C. Yuen +1
In open-set recognition, existing methods generally learn statically fixed decision boundaries using known classes to reject unknown classes. Though they have achieved promising re…
Heterogeneous Federated Learning: State-of-the-art and Research Challenges
Mang Ye, Xiuwen Fang, Bo Du +2
Federated learning (FL) has drawn increasing attention owing to its potential use in large-scale industrial applications. Existing federated learning works mainly focus on model ho…
Open-set Adversarial Defense with Clean-Adversarial Mutual Learning
Rui Shao, Pramuditha Perera, Pong C. Yuen +1
Open-set recognition and adversarial defense study two key aspects of deep learning that are vital for real-world deployment. The objective of open-set recognition is to identify s…
Federated Test-Time Adaptive Face Presentation Attack Detection with Dual-Phase Privacy Preservation
Rui Shao, Bochao Zhang, Pong C. Yuen +1
Face presentation attack detection (fPAD) plays a critical role in the modern face recognition pipeline. The generalization ability of face presentation attack detection models to…
Federated Generalized Face Presentation Attack Detection
Rui Shao, Pramuditha Perera, Pong C. Yuen +1
Face presentation attack detection plays a critical role in the modern face recognition pipeline. A face presentation attack detection model with good generalization can be obtaine…
Open-set Adversarial Defense
Rui Shao, Pramuditha Perera, Pong C. Yuen +1
Open-set recognition and adversarial defense study two key aspects of deep learning that are vital for real-world deployment. The objective of open-set recognition is to identify s…
Self-supervised Temporal Discriminative Learning for Video Representation Learning
Jinpeng Wang, Yiqi Lin, Andy J. Ma +1
Temporal cues in videos provide important information for recognizing actions accurately. However, temporal-discriminative features can hardly be extracted without using an annotat…
Federated Face Presentation Attack Detection
Rui Shao, Pramuditha Perera, Pong C. Yuen +1
Face presentation attack detection (fPAD) plays a critical role in the modern face recognition pipeline. A face presentation attack detection model with good generalization can be…
Regularized Fine-grained Meta Face Anti-spoofing
Rui Shao, Xiangyuan Lan, Pong C. Yuen
Face presentation attacks have become an increasingly critical concern when face recognition is widely applied. Many face anti-spoofing methods have been proposed, but most of them…
Inference-Based Similarity Search in Randomized Montgomery Domains for Privacy-Preserving Biometric Identification
Yi Wang, Jianwu Wan, Jun Guo +2
Similarity search is essential to many important applications and often involves searching at scale on high-dimensional data based on their similarity to a query. In biometric appl…
Dynamic Label Graph Matching for Unsupervised Video Re-Identification
Mang Ye, Andy J Ma, Liang Zheng +2
Label estimation is an important component in an unsupervised person re-identification (re-ID) system. This paper focuses on cross-camera label estimation, which can be subsequentl…
On the Reconstruction of Face Images from Deep Face Templates
Guangcan Mai, Kai Cao, Pong C. Yuen +1
State-of-the-art face recognition systems are based on deep (convolutional) neural networks. Therefore, it is imperative to determine to what extent face templates derived from dee…
Temporal Matrix Completion with Locally Linear Latent Factors for Medical Applications
Frodo Kin Sun Chan, Andy J Ma, Pong C Yuen +4
Regular medical records are useful for medical practitioners to analyze and monitor patient health status especially for those with chronic disease, but such records are usually in…
Deformable Distributed Multiple Detector Fusion for Multi-Person Tracking
Andy J Ma, Pong C Yuen, Suchi Saria
This paper addresses fully automated multi-person tracking in complex environments with challenging occlusion and extensive pose variations. Our solution combines multiple detector…
ProPPA: A Fast Algorithm for Minimization and Low-Rank Matrix Completion
Ranch Y. Q. Lai, Pong C. Yuen
We propose a Projected Proximal Point Algorithm (ProPPA) for solving a class of optimization problems. The algorithm iteratively computes the proximal point of the last estimated s…
Interactive Character Posing by Sparse Coding
Ranch Y. Q. Lai, Pong C. Yuen, K. W. Lee +1
Character posing is of interest in computer animation. It is difficult due to its dependence on inverse kinematics (IK) techniques and articulate property of human characters . To…