activity
20222026
most citedFastPerson: Enhancing Video Learning through Effective Video Summarization that Preserves Linguistic and Visual Contexts

11 citations · 19 across the 8 of their papers we have counts for

collaborators

8 papers

cs.HC2026

AI-Guided Learning: Research on Knowledge and Skill Acquisition Support Methods Using Deep Learning Audio-Video Processing Techniques

Kazuki Kawamura

Audio and video have become major learning media, but learners face two persistent challenges: the time cost of consuming long-form content sequentially and the lack of scalable fe…

cs.HC2026

Profy: Interpretable Visualization of Expertise-Dependent Motor Skills Toward Supporting Piano Practice

Kazuki Kawamura, Fujiki Nakamura, Hayato Nishioka +3

The quality of piano performance depends on nuanced timing, articulation, and dynamic control, but practice feedback is often summary-based and hard to act on. We introduce Profy,…

cs.CV2025

ManzaiSet: A Multimodal Dataset of Viewer Responses to Japanese Manzai Comedy

Kazuki Kawamura, Kengo Nakai, Jun Rekimoto

We introduce ManzaiSet, a multimodal dataset of individual viewer responses to Japanese manzai comedy. The corpus contains 2,301 viewer-performance recordings from 241 native Japan…

cs.HC2025★ 1 cited

SakugaFlow: A Stagewise Illustration Framework Emulating the Human Drawing Process and Providing Interactive Tutoring for Novice Drawing Skills

Kazuki Kawamura, Jun Rekimoto

While current AI illustration tools can generate high-quality images from text prompts, they rarely reveal the step-by-step procedure that human artists follow. We present SakugaFl…

cs.IR2024★ 4 cited

HTML-LSTM: Information Extraction from HTML Tables in Web Pages using Tree-Structured LSTM

Kazuki Kawamura, Akihiro Yamamoto

In this paper, we propose a novel method for extracting information from HTML tables with similar contents but with a different structure. We aim to integrate multiple HTML tables…

cs.CV2024★ 11 cited

FastPerson: Enhancing Video Learning through Effective Video Summarization that Preserves Linguistic and Visual Contexts

Kazuki Kawamura, Jun Rekimoto

Quickly understanding lengthy lecture videos is essential for learners with limited time and interest in various topics to improve their learning efficiency. To this end, video sum…

cs.CL2024★ 2 cited

AIx Speed: Playback Speed Optimization Using Listening Comprehension of Speech Recognition Models

Kazuki Kawamura, Jun Rekimoto

Since humans can listen to audio and watch videos at faster speeds than actually observed, we often listen to or watch these pieces of content at higher playback speeds to increase…

eess.AS2022★ 1 cited

DDSupport: Language Learning Support System that Displays Differences and Distances from Model Speech

Kazuki Kawamura, Jun Rekimoto

When beginners learn to speak a non-native language, it is difficult for them to judge for themselves whether they are speaking well. Therefore, computer-assisted pronunciation tra…