Search Results for author: Pong C. Yuen

Found 20 papers, 9 papers with code

Vertical Federated Learning for Effectiveness, Security, Applicability: A Survey

1 code implementation25 May 2024 Mang Ye, Wei Shen, Bo Du, Eduard Snezhko, Vassili Kovalev, Pong C. Yuen

Vertical Federated Learning (VFL) is a privacy-preserving distributed learning paradigm where different parties collaboratively learn models using partitioned features of shared samples, without leaking private data.

Privacy Preserving Survey +1

Dynamic Against Dynamic: An Open-set Self-learning Framework

1 code implementation27 Apr 2024 Haifeng Yang, Chuanxing Geng, Pong C. Yuen, Songcan Chen

In particular, a novel self-matching module is designed for OSSL, which can achieve the adaptation in automatically identifying known class samples while rejecting unknown class samples which are further utilized to enhance the discriminability of the model as the instantiated representation of unknown classes.

Open Set Learning Self-Learning

Prompting Vision Foundation Models for Pathology Image Analysis

1 code implementation CVPR 2024 CHONG YIN, SiQi Liu, Kaiyang Zhou, Vincent Wai-Sun Wong, Pong C. Yuen

QAP is based on two quantitative attributes namely K-function-based spatial attributes and histogram-based morphological attributes which are aimed for quantitative assessment of tissue states.

Heterogeneous Federated Learning: State-of-the-art and Research Challenges

2 code implementations20 Jul 2023 Mang Ye, Xiuwen Fang, Bo Du, Pong C. Yuen, DaCheng Tao

Therefore, a systematic survey on this topic about the research challenges and state-of-the-art is essential.

Federated Learning Survey

Open-set Adversarial Defense with Clean-Adversarial Mutual Learning

1 code implementation12 Feb 2022 Rui Shao, Pramuditha Perera, Pong C. Yuen, Vishal M. Patel

This paper proposes an Open-Set Defense Network with Clean-Adversarial Mutual Learning (OSDN-CAML) as a solution to the OSAD problem.

Adversarial Defense Denoising +2

Federated Test-Time Adaptive Face Presentation Attack Detection with Dual-Phase Privacy Preservation

no code implementations25 Oct 2021 Rui Shao, Bochao Zhang, Pong C. Yuen, Vishal M. Patel

The generalization ability of face presentation attack detection models to unseen attacks has become a key issue for real-world deployment, which can be improved when models are trained with face images from different input distributions and different types of spoof attacks.

Face Presentation Attack Detection Face Recognition +2

Federated Generalized Face Presentation Attack Detection

no code implementations14 Apr 2021 Rui Shao, Pramuditha Perera, Pong C. Yuen, Vishal M. Patel

A face presentation attack detection model with good generalization can be obtained when it is trained with face images from different input distributions and different types of spoof attacks.

Disentanglement Face Presentation Attack Detection +2

Open-set Adversarial Defense

1 code implementation ECCV 2020 Rui Shao, Pramuditha Perera, Pong C. Yuen, Vishal M. Patel

In this paper, we show that open-set recognition systems are vulnerable to adversarial attacks.

Adversarial Defense Decoder +2

Self-supervised Temporal Discriminative Learning for Video Representation Learning

1 code implementation5 Aug 2020 Jinpeng Wang, Yiqi Lin, Andy J. Ma, Pong C. Yuen

Without labelled data for network pretraining, temporal triplet is generated for each anchor video by using segment of the same or different time interval so as to enhance the capacity for temporal feature representation.

Action Recognition Representation Learning +2

Federated Face Presentation Attack Detection

no code implementations29 May 2020 Rui Shao, Pramuditha Perera, Pong C. Yuen, Vishal M. Patel

A face presentation attack detection model with good generalization can be obtained when it is trained with face images from different input distributions and different types of spoof attacks.

Face Anti-Spoofing Face Presentation Attack Detection +2

Regularized Fine-grained Meta Face Anti-spoofing

1 code implementation25 Nov 2019 Rui Shao, Xiangyuan Lan, Pong C. Yuen

Besides, to further enhance the generalization ability of our model, the proposed framework adopts a fine-grained learning strategy that simultaneously conducts meta-learning in a variety of domain shift scenarios in each iteration.

Domain Generalization Face Anti-Spoofing +2

Unsupervised Embedding Learning via Invariant and Spreading Instance Feature

1 code implementation CVPR 2019 Mang Ye, Xu Zhang, Pong C. Yuen, Shih-Fu Chang

This paper studies the unsupervised embedding learning problem, which requires an effective similarity measurement between samples in low-dimensional embedding space.

Data Augmentation

Temporal Matrix Completion with Locally Linear Latent Factors for Medical Applications

no code implementations31 Oct 2016 Frodo Kin Sun Chan, Andy J. Ma, Pong C. Yuen, Terry Cheuk-Fung Yip, Yee-Kit Tse, Vincent Wai-Sun Wong, Grace Lai-Hung Wong

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 incomplete due to unpunctuality and absence of patients.

Imputation Matrix Completion +1

Deformable Distributed Multiple Detector Fusion for Multi-Person Tracking

no code implementations18 Dec 2015 Andy J. Ma, Pong C. Yuen, Suchi Saria

For robustness to significant pose variations, deformable spatial relationship between detectors are learnt in our multi-person tracking system.

Multi-Cue Visual Tracking Using Robust Feature-Level Fusion Based on Joint Sparse Representation

no code implementations CVPR 2014 Xiangyuan Lan, Andy J. Ma, Pong C. Yuen

The use of multiple features for tracking has been proved as an effective approach because limitation of each feature could be compensated.

Visual Tracking

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