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20172025
most citedLearning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation Networks

26 citations · 119 across the 38 of their papers we have counts for

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6 papers · 1 filter

cs.CV2025

Semantic-Clipping: Efficient Vision-Language Modeling with Semantic-Guidedd Visual Selection

Bangzheng Li, Fei Wang, Wenxuan Zhou +5

Vision-Language Models (VLMs) leverage aligned visual encoders to transform images into visual tokens, allowing them to be processed similarly to text by the backbone large languag…

cs.CV2025

Making Every Step Effective: Jailbreaking Large Vision-Language Models Through Hierarchical KV Equalization

Shuyang Hao, Yiwei Wang, Bryan Hooi +4

In the realm of large vision-language models (LVLMs), adversarial jailbreak attacks serve as a red-teaming approach to identify safety vulnerabilities of these models and their ass…

cs.CV2024

SleeperMark: Towards Robust Watermark against Fine-Tuning Text-to-image Diffusion Models

Zilan Wang, Junfeng Guo, Jiacheng Zhu +4

Recent advances in large-scale text-to-image (T2I) diffusion models have enabled a variety of downstream applications, including style customization, subject-driven personalization…

cs.CV2024

Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity Dataset

Yingzi Ma, Jiongxiao Wang, Fei Wang +10

Machine unlearning has emerged as an effective strategy for forgetting specific information in the training data. However, with the increasing integration of visual data, privacy c…

cs.CV2024

Unraveling Cross-Modality Knowledge Conflicts in Large Vision-Language Models

Tinghui Zhu, Qin Liu, Fei Wang +2

Large Vision-Language Models (LVLMs) have demonstrated impressive capabilities for capturing and reasoning over multimodal inputs. However, these models are prone to parametric kno…

cs.CV2017

Attention-based Natural Language Person Retrieval

Tao Zhou, Muhao Chen, Jie Yu +1

Following the recent progress in image classification and captioning using deep learning, we develop a novel natural language person retrieval system based on an attention mechanis…