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cs.CV2026

From Seeing to Acting: Smart Glasses as First-Person Intelligence Platforms

Jiangning Zhang, Haojun Chen, Yong Liu

Smart glasses are evolving from capture and display accessories into first-person intelligence platforms that connect human perception, persistent context, and digital or physical…

cs.CV2026

Deep Academic Survey: Stateful Agentic Closed-Loop Paradigm for Academic Survey Automation

Zhikai Xu, Zhucun Xue, Teng Hu +3

Academic surveys play a central role in organizing rapidly expanding scholarly literature, yet their construction requires extensive paper analysis, coherent knowledge organization…

cs.CV2026

Quo Vadis, World Modeling?

Yu Yang, Xuemeng Yang, Licheng Wen +17

Continually improving agents require dynamic interaction feedback beyond static supervision, yet direct real-environment interaction is costly, slow, unsafe, and hard to paralleliz…

cs.CV2026

ChatImage: Navigating Long-Form LLM Answers through Interactive Images

Wencan Jiang, Jiangning Zhang, Yong Liu

Large Language Models (LLMs) can produce detailed answers to complex queries, but these answers are typically presented as dense linear text, which makes fine-grained inspection, n…

cs.CV2026

SPOT-E: Test-Time Entropy Shaping with Visual Spotlights for Frozen VLMs

Bo Yin, Xiaobin Hu, Chengming Xu +6

Vision-language models (VLMs) often underperform on evidence intensive tasks because decisive visual evidence are small, localized, and easy to overlook, leading to failures in evi…

cs.CV2026

What Semantics Survive the Connector? Diagnosing VLM-to-DiT Alignment in Video Editing

Hangyu Lin, Chao Wen, Chengming Xu +4

Flow matching based video generative models have been increasingly relying on prepended Vision-Language Models (VLMs) to handle complex, instruction-based video editing. The prevai…