activity
20122026
most citedLarge-Scale Analysis of Framework-Specific Exceptions in Android Apps

115 citations · 262 across the 51 of their papers we have counts for

collaborators
Showing 2024 · cs.CVShow all

7 papers · 2 filters

cs.CV2024

Concept Guided Co-salient Object Detection

Jiayi Zhu, Qing Guo, Felix Juefei-Xu +3

Co-salient object detection (Co-SOD) aims to identify common salient objects across a group of related images. While recent methods have made notable progress, they typically rely…

cs.CV2024

Efficient and Effective Universal Adversarial Attack against Vision-Language Pre-training Models

Fan Yang, Yihao Huang, Kailong Wang +4

Vision-language pre-training (VLP) models, trained on large-scale image-text pairs, have become widely used across a variety of downstream vision-and-language (V+L) tasks. This wid…

cs.CV2024

Perception-guided Jailbreak against Text-to-Image Models

Yihao Huang, Le Liang, Tianlin Li +5

In recent years, Text-to-Image (T2I) models have garnered significant attention due to their remarkable advancements. However, security concerns have emerged due to their potential…

cs.CV2024

Texture Re-scalable Universal Adversarial Perturbation

Yihao Huang, Qing Guo, Felix Juefei-Xu +5

Universal adversarial perturbation (UAP), also known as image-agnostic perturbation, is a fixed perturbation map that can fool the classifier with high probabilities on arbitrary i…

cs.CV2024

Text Modality Oriented Image Feature Extraction for Detecting Diffusion-based DeepFake

Di Yang, Yihao Huang, Qing Guo +5

The widespread use of diffusion methods enables the creation of highly realistic images on demand, thereby posing significant risks to the integrity and safety of online informatio…

cs.CV2024

CosalPure: Learning Concept from Group Images for Robust Co-Saliency Detection

Jiayi Zhu, Qing Guo, Felix Juefei-Xu +3

Co-salient object detection (CoSOD) aims to identify the common and salient (usually in the foreground) regions across a given group of images. Although achieving significant progr…

cs.CV2024★ 2 cited

Improving Robustness of LiDAR-Camera Fusion Model against Weather Corruption from Fusion Strategy Perspective

Yihao Huang, Kaiyuan Yu, Qing Guo +5

In recent years, LiDAR-camera fusion models have markedly advanced 3D object detection tasks in autonomous driving. However, their robustness against common weather corruption such…