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20202026
most citedBoosting Continuous Sign Language Recognition via Cross Modality Augmentation

120 citations · 199 across the 19 of their papers we have counts for

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Showing 2026 · cs.CVShow all

5 papers · 2 filters

cs.CV2026

Learning Multimodal Embeddings with Evidence-Aligned Readout

Zirong Chen, Fuda Ye, Enjun Du +8

Multimodal large language models can expose task-relevant evidence through generation, but producing useful evidence does not by itself determine how it enters a retrieval embeddin…

cs.CV2026

GameHorizon Suite: Multi-Horizon Data and Evaluation in Gameplay

Yiran Wang, Xingyilang Yin, Junfu Pu +12

Modern video games provide a measurable testbed for AI models, combining abilities of visual understanding, instruction decomposition, goal planning, and precise action control ove…

cs.CV2026

SnapBench: Benchmarking Snap-and-Ask Multimodal Retrieval for Mobile Interactions

Zirong Chen, Fuda Ye, Kuan Zhang +7

Mobile AI acts as a visual oracle, empowering users to snap a picture of something and ask for information. Snap-and-ask retrieval is now one of the most common entry points for mo…

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…