131 citations · 219 across the 10 of their papers we have counts for
12 papers
CausalChapter: Improving Long-Video Chaptering with Interventional Dependency Modeling
Xinran Duan, Guozhang Li, Yaoyao Zhong +3
Long-form instructional videos require automatic chaptering to support browsing, navigation, and knowledge access. Recent long-context language models can perform chaptering from t…
SketchJudge: A Diagnostic Benchmark for Grading Hand-drawn Diagrams with Multimodal Large Language Models
Yuhang Su, Mei Wang, Yaoyao Zhong +4
While Multimodal Large Language Models (MLLMs) have achieved remarkable progress in visual understanding, they often struggle when faced with the unstructured and ambiguous nature…
SMART: Self-Generating and Self-Validating Multi-Dimensional Assessment for LLMs' Mathematical Problem Solving
Yujie Hou, Mei Wang, Yaoyao Zhong +3
Large Language Models (LLMs) have achieved remarkable performance across a wide range of mathematical benchmarks. However, concerns remain as to whether these successes reflect gen…
Enhancing Generalization of Invisible Facial Privacy Cloak via Gradient Accumulation
Xuannan Liu, Yaoyao Zhong, Weihong Deng +4
The blooming of social media and face recognition (FR) systems has increased people's concern about privacy and security. A new type of adversarial privacy cloak (class-universal)…
AdvCloak: Customized Adversarial Cloak for Privacy Protection
Xuannan Liu, Yaoyao Zhong, Xing Cui +3
With extensive face images being shared on social media, there has been a notable escalation in privacy concerns. In this paper, we propose AdvCloak, an innovative framework for pr…
Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregation
Xuannan Liu, Yaoyao Zhong, Yuhang Zhang +2
Deep neural networks are vulnerable to universal adversarial perturbation (UAP), an instance-agnostic perturbation capable of fooling the target model for most samples. Compared to…