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20242026
most citedWTS: A Pedestrian-Centric Traffic Video Dataset for Fine-grained Spatial-Temporal Understanding

2 citations · 2 across the 13 of their papers we have counts for

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cs.CV2026

HelloWorld: Enabling Socially Interactive Characters in Video World Models

Liangyang Ouyang, Ruicong Liu, Xuangeng Chu +2

Despite the remarkable recent progress of video world models, social interaction between users and the characters within these worlds remains unsupported. To fill this gap, we pres…

cs.CV2026

Vinci2: Providing Proactive Assistance in Continuous Egocentric Videos

Gong Sitong, Tianyu Yan, Caixin Kang +6

When should an intelligent assistant speak up without being asked? Continuous egocentric video offers rich, evolving context that enables a new form of assistance: one that is proa…

cs.CV2026

CaST-Bench: Benchmarking Causal Chain-Grounded Spatio-Temporal Reasoning for Video Question Answering

Mingfang Zhang, Jingjing Pan, Ashutosh Kumar +7

Cause-and-effect reasoning in video is a significant challenge for Vision-Language Models (VLMs), as it requires going beyond surface-level perception to a deeper understanding of…

cs.CV2026

Egocentric Gaze Estimation via Neck-Mounted Camera

Haoyu Huang, Yoichi Sato

This paper introduces neck-mounted view gaze estimation, a new task that estimates user gaze from the neck-mounted camera perspective. Prior work on egocentric gaze estimation, whi…

cs.CV2025

The N-Body Problem: Parallel Execution from Single-Person Egocentric Video

Zhifan Zhu, Yifei Huang, Yoichi Sato +1

Humans can intuitively parallelise complex activities, but can a model predict this from observing a single person? Given one egocentric video, we introduce the N-Body Problem: pre…

cs.CV2025

HanDyVQA: A Video QA Benchmark for Fine-Grained Hand-Object Interaction Dynamics

Masatoshi Tateno, Gido Kato, Hirokatsu Kataoka +2

Hand-object interaction (HOI) inherently involves dynamics where human manipulations produce distinct spatio-temporal effects on objects. However, existing semantic HOI benchmarks…