activity
20242026
collaborators

9 papers

cs.CV2026

EviRank: Structured Relevance Evidence for Multimodal Image Re-ranking

Enjun Du, Siyi Liu, Zirong Chen +8

Real-world image search queries are multimodal and compositional: ``find this shirt in pink'' specifies an entity to retain, an attribute to modify, and context to ignore. Yet exis…

cs.CV2026

OmniScript: Towards Audio-Visual Script Generation for Long-Form Cinematic Video

Junfu Pu, Yuxin Chen, Teng Wang +1

Current multimodal large language models (MLLMs) have demonstrated remarkable capabilities in short-form video understanding, yet translating long-form cinematic videos into detail…

cs.CV2025

Verb Mirage: Unveiling and Assessing Verb Concept Hallucinations in Multimodal Large Language Models

Zehao Wang, Xinpeng Liu, Yudonglin Zhang +6

Multimodal Large Language Models (MLLMs) have garnered significant attention recently and demonstrate outstanding capabilities in various tasks such as OCR, VQA, captioning, $\text…

cs.CV2025

ARC-Chapter: Structuring Hour-Long Videos into Navigable Chapters and Hierarchical Summaries

Junfu Pu, Teng Wang, Yixiao Ge +3

The proliferation of hour-long videos (e.g., lectures, podcasts, documentaries) has intensified demand for efficient content structuring. However, existing approaches are constrain…

cs.CV2025

UniPixel: Unified Object Referring and Segmentation for Pixel-Level Visual Reasoning

Ye Liu, Zongyang Ma, Junfu Pu +4

Recent advances in Large Multi-modal Models (LMMs) have demonstrated their remarkable success as general-purpose multi-modal assistants, with particular focuses on holistic image-…

cs.CV2025

ARC-Hunyuan-Video-7B: Structured Video Comprehension of Real-World Shorts

Yuying Ge, Yixiao Ge, Chen Li +15

Real-world user-generated short videos, especially those distributed on platforms such as WeChat Channel and TikTok, dominate the mobile internet. However, current large multimodal…