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20162023
most citedBackdoor Defense via Decoupling the Training Process

42 citations · 340 across the 32 of their papers we have counts for

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38 papers · 1 filter

cs.CV2023

ToonTalker: Cross-Domain Face Reenactment

Yuan Gong, Yong Zhang, Xiaodong Cun +5

We target cross-domain face reenactment in this paper, i.e., driving a cartoon image with the video of a real person and vice versa. Recently, many works have focused on one-shot t…

cs.CV2023

NOFA: NeRF-based One-shot Facial Avatar Reconstruction

Wangbo Yu, Yanbo Fan, Yong Zhang +8

3D facial avatar reconstruction has been a significant research topic in computer graphics and computer vision, where photo-realistic rendering and flexible controls over poses and…

cs.CV2023

DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection

Zhiyuan Yan, Yong Zhang, Xinhang Yuan +2

A critical yet frequently overlooked challenge in the field of deepfake detection is the lack of a standardized, unified, comprehensive benchmark. This issue leads to unfair perfor…

cs.CV2023

Versatile Backdoor Attack with Visible, Semantic, Sample-Specific, and Compatible Triggers

Ruotong Wang, Hongrui Chen, Zihao Zhu +2

Deep neural networks (DNNs) can be manipulated to exhibit specific behaviors when exposed to specific trigger patterns, without affecting their performance on benign samples, dubbe…

cs.CV2023

Inter-frame Accelerate Attack against Video Interpolation Models

Junpei Liao, Zhikai Chen, Liang Yi +3

Deep learning based video frame interpolation (VIF) method, aiming to synthesis the intermediate frames to enhance video quality, have been highly developed in the past few years.…

cs.CV2023

UCF: Uncovering Common Features for Generalizable Deepfake Detection

Zhiyuan Yan, Yong Zhang, Yanbo Fan +1

Deepfake detection remains a challenging task due to the difficulty of generalizing to new types of forgeries. This problem primarily stems from the overfitting of existing detecti…