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From the 1 of 12 linked papers with an AI index.

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12 papers

cs.CV2026

Searching Videos as Trees: Self-Correcting Agents for Grounded Long Video QA

Ce Zhang, Ziyang Wang, Yulu Pan +6

Grounded long-video question answering (Grounded LVQA) requires answering a question about a long video while localizing the short evidence interval that supports the answer. Recen…

cs.CV2026

Evidence-Backed Video Question Answering

Shijie Wang, Honglu Zhou, Ziyang Wang +5

The paper introduces Evidence-Backed Video Question Answering (E-VQA), a task where models must provide both a textual answer and precise spatio‑temporal visual evidence (temporal…

cs.CV2026

Active Video Perception: Iterative Evidence Seeking for Agentic Long Video Understanding

Ziyang Wang, Honglu Zhou, Shijie Wang +6

Long video understanding (LVU) is challenging because answering real-world queries often depends on sparse, temporally dispersed cues buried in hours of mostly redundant and irrele…

cs.CV2026

EgoMemReason: A Memory-Driven Reasoning Benchmark for Long-Horizon Egocentric Video Understanding

Ziyang Wang, Yue Zhang, Shoubin Yu +6

Next-generation visual assistants, such as smart glasses, embodied agents, and always-on life-logging systems, must reason over an entire day or more of continuous visual experienc…

cs.CV2026

KAN Text to Vision? The Exploration of Kolmogorov-Arnold Networks for Multi-Scale Sequence-Based Pose Animation from Sign Language Notation

Guanyi Du, Lintao Wang, Kun Hu +1

Sign language production from symbolic notation offers a scalable route to accessible sign animation. We present KANMultiSign, a multi-scale sequence generator that translates HamN…

cs.CL2026

Multimodal Fact-Level Attribution for Verifiable Reasoning

David Wan, Han Wang, Ziyang Wang +3

Multimodal large language models (MLLMs) are increasingly used for real-world tasks involving multi-step reasoning and long-form generation, where reliability requires grounding mo…