5 papers · 1 filter
F2RVLM: Boosting Fine-grained Fragment Retrieval for Multi-Modal Long-form Dialogue with Vision Language Model
Hanbo Bi, Zhiqiang Yuan, Zexi Jia +6
Traditional dialogue retrieval aims to select the most appropriate utterance or image from recent dialogue history. However, they often fail to meet users' actual needs for revisit…
Less Redundancy: Boosting Practicality of Vision Language Model in Walking Assistants
Chongyang Li, Zhiqiang Yuan, Hanbo Bi +2
Approximately 283 million people worldwide live with visual impairments, motivating increasing research into leveraging Visual Language Models (VLMs) to develop effective walking a…
From Imitation to Innovation: The Emergence of AI Unique Artistic Styles and the Challenge of Copyright Protection
Zexi Jia, Chuanwei Huang, Yeshuang Zhu +6
Current legal frameworks consider AI-generated works eligible for copyright protection when they meet originality requirements and involve substantial human intellectual input. How…
A Visual Leap in CLIP Compositionality Reasoning through Generation of Counterfactual Sets
Zexi Jia, Chuanwei Huang, Hongyan Fei +6
Vision-language models (VLMs) often struggle with compositional reasoning due to insufficient high-quality image-text data. To tackle this challenge, we propose a novel block-based…
RDTF: Resource-efficient Dual-mask Training Framework for Multi-frame Animated Sticker Generation
Zhiqiang Yuan, Ting Zhang, Peixiang Luo +5
Recently, significant advancements have been achieved in video generation technology, but applying it to resource-constrained downstream tasks like multi-frame animated sticker gen…