activity
20222026
most citedIDET: Iterative Difference-Enhanced Transformers for High-Quality Change Detection

14 citations · 17 across the 5 of their papers we have counts for

collaborators

7 papers

cs.CV2026

FlyMark: Training-Free Invisible Watermarking of 3D Gaussian Splatting via a Fruit Fly Connectome

Ziyuan Luo, Haoliang Li, Renjie Wan

A trained 3D Gaussian Splatting (3DGS) scene ships as a portable parameter array that can be copied, pruned, requantized, or repackaged outside its training pipeline, so ownership…

cs.CR2025

Asynchronous Event Error-Minimizing Noise for Safeguarding Event Dataset

Ruofei Wang, Peiqi Duan, Boxin Shi +1

With more event datasets being released online, safeguarding the event dataset against unauthorized usage has become a serious concern for data owners. Unlearnable Examples are pro…

cs.CV2025

The NeRF Signature: Codebook-Aided Watermarking for Neural Radiance Fields

Ziyuan Luo, Anderson Rocha, Boxin Shi +3

Neural Radiance Fields (NeRF) have been gaining attention as a significant form of 3D content representation. With the proliferation of NeRF-based creations, the need for copyright…

cs.CV2024★ 2 cited

Open-Set Deepfake Detection: A Parameter-Efficient Adaptation Method with Forgery Style Mixture

Chenqi Kong, Anwei Luo, Peijun Bao +5

Open-set face forgery detection poses significant security threats and presents substantial challenges for existing detection models. These detectors primarily have two limitations…

cs.CR2024

Event Trojan: Asynchronous Event-based Backdoor Attacks

Ruofei Wang, Qing Guo, Haoliang Li +1

As asynchronous event data is more frequently engaged in various vision tasks, the risk of backdoor attacks becomes more evident. However, research into the potential risk associat…

cs.CV2024★ 1 cited

Spy-Watermark: Robust Invisible Watermarking for Backdoor Attack

Ruofei Wang, Renjie Wan, Zongyu Guo +2

Backdoor attack aims to deceive a victim model when facing backdoor instances while maintaining its performance on benign data. Current methods use manual patterns or special pertu…

cs.CV2022★ 14 cited

IDET: Iterative Difference-Enhanced Transformers for High-Quality Change Detection

Qing Guo, Ruofei Wang, Rui Huang +2

Change detection (CD) aims to detect change regions within an image pair captured at different times, playing a significant role in diverse real-world applications. Nevertheless, m…