1 citations · 3 across the 7 of their papers we have counts for
7 papers
Few-Shot Precise Event Spotting via Unified Multi-Entity Graph and Distillation
Zhaoyu Liu, Kan Jiang, Murong Ma +3
Precise event spotting (PES) aims to recognize fine-grained events at exact moments and has become a key component of sports analytics. This task is particularly challenging due to…
LLM as an Execution Estimator: Recovering Missing Dependency for Practical Time-travelling Debugging
Yunrui Pei, Hongshu Wang, Wenjie Zhang +3
Determining the dynamic data dependency of a step that reads a variable is challenging. It typically requires either exhaustive instrumentation, which becomes prohibitively exp…
FSet: Towards Analyzing Fast, Frequent, and Fine-grained Events from Videos
Zhaoyu Liu, Kan Jiang, Murong Ma +3
Analyzing Fast, Frequent, and Fine-grained (F) events presents a significant challenge in video analytics and multi-modal LLMs. Current methods struggle to identify events that…
Defending LVLMs Against Vision Attacks through Partial-Perception Supervision
Qi Zhou, Tianlin Li, Qing Guo +4
Recent studies have raised significant concerns regarding the vulnerability of Large Vision Language Models (LVLMs) to maliciously injected or perturbed input images, which can mis…
Contribution Evaluation of Heterogeneous Participants in Federated Learning via Prototypical Representations
Qi Guo, Minghao Yao, Zhen Tian +4
Contribution evaluation in federated learning (FL) has become a pivotal research area due to its applicability across various domains, such as detecting low-quality datasets, enhan…
Towards Large Language Model Aided Program Refinement
Yufan Cai, Zhe Hou, Xiaokun Luan +4
Program refinement involves correctness-preserving transformations from formal high-level specification statements into executable programs. Traditional verification tool support f…
Towards Transferable Attacks Against Vision-LLMs in Autonomous Driving with Typography
Nhat Chung, Sensen Gao, Tuan-Anh Vu +5
Vision-Large-Language-Models (Vision-LLMs) are increasingly being integrated into autonomous driving (AD) systems due to their advanced visual-language reasoning capabilities, targ…