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cs.CV2026

SCOPE-Router: Cost-Aware Open-Set VLM Routing for Execution-Oriented Tasks

Tao Yu, Yifei Qu, Zhiqing Cui +14

Model routing aims to select the most suitable model from a candidate pool for each query, balancing quality and cost. Existing VLM routing research is limited to traditional VQA e…

cs.CV2026

When Seeing Is Not Believing -- A Benchmark for Search-Grounded Video Misinformation Detection

Tao Yu, Yujia Yang, Shenghua Chai +18

Video misinformation increasingly operates at the semantic and evidential level: authentic footage may be selectively edited, temporally reordered, spliced across sources, or augme…

cs.CV2026

HIMMEL: Hierarchical Interleaved Multi-stream Motion Encoding for Long Video Understanding

Haopeng Jin, Hongzhu Yi, Wenlong Zhao +9

Long video understanding with multimodal language models suffers from three compounding bottlenecks: heavy decode cost to obtain dense RGB frames, token growth with frame count, an…

cs.CV2026

ShotFinder: Imagination-Driven Open-Domain Video Shot Retrieval via Web Search

Tao Yu, Haopeng Jin, Hao Wang +19

In recent years, large language models (LLMs) have made rapid progress in information retrieval, yet existing research has mainly focused on text or static multimodal settings. Ope…

cs.CV2026

Beyond Closed-Pool Video Retrieval: A Benchmark and Agent Framework for Real-World Video Search and Moment Localization

Tao Yu, Yujia Yang, Haopeng Jin +17

Traditional video retrieval benchmarks focus on matching precise descriptions to closed video pools, failing to reflect real-world searches characterized by fuzzy, multi-dimensiona…

cs.CV2026

VDE Bench: Evaluating The Capability of Image Editing Models to Modify Visual Documents

Hongzhu Yi, Yujia Yang, Yuanxiang Wang +18

Image editing models can modify visual content through natural language, but editing dense documents requires precise local changes amid tightly coupled text, tables, and layout. W…