activity
20222026
most citedTowards Continual Egocentric Activity Recognition: A Multi-modal Egocentric Activity Dataset for Continual Learning

38 citations · 40 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2026

Efficient, Robust, and Anti-Collusion Fingerprinting of Image Diffusion Models

Jianwei Fei, Yunshu Dai, Zhihua Xia +4

Model fingerprinting, embedding user-specific identifiers (fingerprints) into generated outputs, has recently emerged as a popular solution to protect the intellectual property rig…

cs.CV2026

High-Fidelity Face Content Recovery via Tamper-Resilient Versatile Watermarking

Peipeng Yu, Jinfeng Xie, Chengfu Ou +5

The proliferation of AIGC-driven face manipulation and deepfakes poses severe threats to media provenance, integrity, and copyright protection. Existing versatile watermarking syst…

cs.CV2023★ 38 cited

Towards Continual Egocentric Activity Recognition: A Multi-modal Egocentric Activity Dataset for Continual Learning

Linfeng Xu, Qingbo Wu, Lili Pan +6

With the rapid development of wearable cameras, a massive collection of egocentric video for first-person visual perception becomes available. Using egocentric videos to predict fi…

cs.CV2022

Learning to mask: Towards generalized face forgery detection

Jianwei Fei, Yunshu Dai, Huaming Wang +1

Generalizability to unseen forgery types is crucial for face forgery detectors. Recent works have made significant progress in terms of generalization by synthetic forgery data aug…

cs.CV2022

General GAN-generated image detection by data augmentation in fingerprint domain

Huaming Wang, Jianwei Fei, Yunshu Dai +2

In this work, we investigate improving the generalizability of GAN-generated image detectors by performing data augmentation in the fingerprint domain. Specifically, we first separ…

cs.CV2022★ 2 cited

Learning Second Order Local Anomaly for General Face Forgery Detection

Jianwei Fei, Yunshu Dai, Peipeng Yu +3

In this work, we propose a novel method to improve the generalization ability of CNN-based face forgery detectors. Our method considers the feature anomalies of forged faces caused…