activity
20222025
most citedVisual Recipe Flow: A Dataset for Learning Visual State Changes of Objects with Recipe Flows

5 citations · 7 across the 9 of their papers we have counts for

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cs.CV2025

Generating 6DoF Object Manipulation Trajectories from Action Description in Egocentric Vision

Tomoya Yoshida, Shuhei Kurita, Taichi Nishimura +1

Learning to use tools or objects in common scenes, particularly handling them in various ways as instructed, is a key challenge for developing interactive robots. Training models t…

cs.CV2024

EgoOops: A Dataset for Mistake Action Detection from Egocentric Videos referring to Procedural Texts

Yuto Haneji, Taichi Nishimura, Hirotaka Kameko +7

Mistake action detection is crucial for developing intelligent archives that detect workers' errors and provide feedback. Existing studies have focused on visually apparent mistake…

cs.CV2024

Text-driven Affordance Learning from Egocentric Vision

Tomoya Yoshida, Shuhei Kurita, Taichi Nishimura +1

Visual affordance learning is a key component for robots to understand how to interact with objects. Conventional approaches in this field rely on pre-defined objects and actions,…

cs.CV2024

BioVL-QR: Egocentric Biochemical Vision-and-Language Dataset Using Micro QR Codes

Tomohiro Nishimoto, Taichi Nishimura, Koki Yamamoto +11

This paper introduces BioVL-QR, a biochemical vision-and-language dataset comprising 23 egocentric experiment videos, corresponding protocols, and vision-and-language alignments. A…

cs.CV2023★ 2 cited

Exo2EgoDVC: Dense Video Captioning of Egocentric Procedural Activities Using Web Instructional Videos

Takehiko Ohkawa, Takuma Yagi, Taichi Nishimura +4

We propose a novel benchmark for cross-view knowledge transfer of dense video captioning, adapting models from web instructional videos with exocentric views to an egocentric view.…