#video question answering
4 papers · 1 filter
EgoProceVQA: A Novel Egocentric Procedural Understanding Task with Self-Skill-Exploration Agent
Junlong Li, Junxi Li, Yuxiang Yang +3
The paper introduces EgoProceVQA, a new egocentric video question answering benchmark focused on procedural reasoning, and proposes EgoProceAgent, a self-exploring agent that learn…
What Does a Temporal Benchmark Score Measure? Decomposing Channel Use in Video VLM Evaluation
Farrukh Rahman
The paper examines how temporal video QA benchmark scores conflate task difficulty with the model's reliance on positional encodings versus visual sequence order, and introduces a…
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…
TreeSoc: Tree-Structured Dynamic Reasoning and Tool Synergy for Soccer Video Understanding
Thanh-Nhan Vo, Thanh-Khoi Nguyen, Trong-Thuan Nguyen +2
TreeSoc is a framework that reformulates soccer video question answering as a hierarchical search using a dynamic depth‑first search, allowing step‑by‑step reasoning and selective…