activity
20222024
most citedGaze-Driven Sentence Simplification for Language Learners: Enhancing Comprehension and Readability

4 citations · 6 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CV2024

Detect Fake with Fake: Leveraging Synthetic Data-driven Representation for Synthetic Image Detection

Hina Otake, Yoshihiro Fukuhara, Yoshiki Kubotani +1

Are general-purpose visual representations acquired solely from synthetic data useful for detecting fake images? In this work, we show the effectiveness of synthetic data-driven re…

cs.CV2024

Monte Carlo Path Tracing and Statistical Event Detection for Event Camera Simulation

Yuichiro Manabe, Tatsuya Yatagawa, Shigeo Morishima +1

This paper presents a novel event camera simulation system fully based on physically based Monte Carlo path tracing with adaptive path sampling. The adaptive sampling performed in…

cs.CL20234 cited

Gaze-Driven Sentence Simplification for Language Learners: Enhancing Comprehension and Readability

Taichi Higasa, Keitaro Tanaka, Qi Feng +1

Language learners should regularly engage in reading challenging materials as part of their study routine. Nevertheless, constantly referring to dictionaries is time-consuming and…

cs.CV2023

Pointing out Human Answer Mistakes in a Goal-Oriented Visual Dialogue

Ryosuke Oshima, Seitaro Shinagawa, Hideki Tsunashima +2

Effective communication between humans and intelligent agents has promising applications for solving complex problems. One such approach is visual dialogue, which leverages multimo…

cs.CV2023

Enhancing Perception and Immersion in Pre-Captured Environments through Learning-Based Eye Height Adaptation

Qi Feng, Hubert P. H. Shum, Shigeo Morishima

Pre-captured immersive environments using omnidirectional cameras provide a wide range of virtual reality applications. Previous research has shown that manipulating the eye height…

eess.AS2023

Audio-Visual Speech Enhancement With Selective Off-Screen Speech Extraction

Tomoya Yoshinaga, Keitaro Tanaka, Shigeo Morishima

This paper describes an audio-visual speech enhancement (AV-SE) method that estimates from noisy input audio a mixture of the speech of the speaker appearing in an input video (on-…