4 citations · 4 across the 8 of their papers we have counts for
6 papers · 1 filter
A Multi-Stage Framework for Kuzushiji Character Recognition in Japanese Historical Documents
Rui-Yang Ju, Kohei Yamashita, Hirotaka Kameko +1
Kuzushiji was a widely used cursive writing system in pre-modern Japan. Due to simplification and glyph variation, most modern Japanese readers cannot read Kuzushiji characters. Co…
DKDS: A Benchmark Dataset of Degraded Kuzushiji Documents with Seals for Detection and Binarization
Rui-Yang Ju, Kohei Yamashita, Hirotaka Kameko +1
Kuzushiji, a pre-modern Japanese cursive script, can currently be read and understood by only a few thousand trained experts in Japan. With the rapid development of deep learning,…
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…
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…
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,…
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…