6 papers
Seal-Robust KCR: A Robust Kuzushiji Character Recognition Framework under Seal Interference
Rui-Yang Ju, Kohei Yamashita, Hirotaka Kameko +1
Kuzushiji was one of the most widely used cursive writing systems in pre-modern Japan. Due to its highly cursive forms and extensive glyph variations, most modern Japanese readers…
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,…
Developing Vision-Language-Action Model from Egocentric Videos
Tomoya Yoshida, Shuhei Kurita, Taichi Nishimura +1
Egocentric videos capture how humans manipulate objects and tools, providing diverse motion cues for learning object manipulation. Unlike the costly, expert-driven manual teleopera…
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…
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…
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…