3 citations · 9 across the 19 of their papers we have counts for
5 papers · 1 filter
TKG-DM: Training-free Chroma Key Content Generation Diffusion Model
Ryugo Morita, Stanislav Frolov, Brian Bernhard Moser +4
Diffusion models have enabled the generation of high-quality images with a strong focus on realism and textual fidelity. Yet, large-scale text-to-image models, such as Stable Diffu…
Feature Estimation of Global Language Processing in EEG Using Attention Maps
Dai Shimizu, Ko Watanabe, Andreas Dengel
Understanding the correlation between EEG features and cognitive tasks is crucial for elucidating brain function. Brain activity synchronizes during speaking and listening tasks. H…
Edge-based Denoising Image Compression
Ryugo Morita, Hitoshi Nishimura, Ko Watanabe +2
In recent years, deep learning-based image compression, particularly through generative models, has emerged as a pivotal area of research. Despite significant advancements, challen…
Webcam-based Pupil Diameter Prediction Benefits from Upscaling
Vijul Shah, Brian B. Moser, Ko Watanabe +1
Capturing pupil diameter is essential for assessing psychological and physiological states such as stress levels and cognitive load. However, the low resolution of images in eye da…
PupilSense: A Novel Application for Webcam-Based Pupil Diameter Estimation
Vijul Shah, Ko Watanabe, Brian B. Moser +1
Measuring pupil diameter is vital for gaining insights into physiological and psychological states - traditionally captured by expensive, specialized equipment like Tobii eye-track…