activity
20192023
most citedJPGNet: Joint Predictive Filtering and Generative Network for Image Inpainting

34 citations · 119 across the 22 of their papers we have counts for

collaborators
Showing cs.CVShow all

20 papers · 1 filter

cs.CV2023★ 7 cited

On the Robustness of Segment Anything

Yihao Huang, Yue Cao, Tianlin Li +5

Segment anything model (SAM) has presented impressive objectness identification capability with the idea of prompt learning and a new collected large-scale dataset. Given a prompt…

cs.CV2023

Architecture-agnostic Iterative Black-box Certified Defense against Adversarial Patches

Di Yang, Yihao Huang, Qing Guo +4

The adversarial patch attack aims to fool image classifiers within a bounded, contiguous region of arbitrary changes, posing a real threat to computer vision systems (e.g., autonom…

cs.CV2023★ 1 cited

Personalization as a Shortcut for Few-Shot Backdoor Attack against Text-to-Image Diffusion Models

Yihao Huang, Felix Juefei-Xu, Qing Guo +6

Although recent personalization methods have democratized high-resolution image synthesis by enabling swift concept acquisition with minimal examples and lightweight computation, t…

cs.CV2023

Denoising-Contrastive Alignment for Continuous Sign Language Recognition

Leming Guo, Wanli Xue, Shengyong Chen

Continuous sign language recognition (CSLR) aims to recognize signs in untrimmed sign language videos to textual glosses. A key challenge of CSLR is achieving effective cross-modal…

cs.CV2023★ 4 cited

Evading DeepFake Detectors via Adversarial Statistical Consistency

Yang Hou, Qing Guo, Yihao Huang +3

In recent years, as various realistic face forgery techniques known as DeepFake improves by leaps and bounds,more and more DeepFake detection techniques have been proposed. These m…

cs.CV2022★ 4 cited

Common Corruption Robustness of Point Cloud Detectors: Benchmark and Enhancement

Shuangzhi Li, Zhijie Wang, Felix Juefei-Xu +3

Object detection through LiDAR-based point cloud has recently been important in autonomous driving. Although achieving high accuracy on public benchmarks, the state-of-the-art dete…