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Grounded Human-Attributed Description and Activity Recognition in Videos

Paper recorded by Signals 4 on 2026-10-15 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-15 on arXiv · recorded by Signals 4 on 2026-10-16

Category: cs.CV · 计算机视觉 · first seen 2026-10-16

Abstract

Understanding characteristics and activities of individuals in complex multi-person environments is crucial for real-world applications. However, existing datasets often simplify this problem to grounded group activity recognition, single-person activity recognition, or close-set activity recognition, thus limiting the generalizability of models trained on these datasets. In this work, we introduc

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#261 most recent of 756 cs.CV papers we have recorded · ↑ newer: ARC-SORT: Adaptive, Robust, Compensated Multi-Object Tracking with Int · ↓ older: Routing Policy Optimization for Online Diffusion Reinforcement Learnin
Cite this page: Grounded Human-Attributed Description and Activity Recognition in Videos: the #261 most recent of 756 cs.CV papers we have recorded (as of 2026-10-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/grounded-human-attributed-description-and-activity-recognition-in-videos.html
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