765 citations · 1.7k across the 20 of their papers we have counts for
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Technical Understanding from IML Hands-on Experience: A Study through a Public Event for Science Museum Visitors
Wataru Kawabe, Yuri Nakao, Akihisa Shitara +1
While AI technology is becoming increasingly prevalent in our daily lives, the comprehension of machine learning (ML) among non-experts remains limited. Interactive machine learnin…
Image-to-Text Translation for Interactive Image Recognition: A Comparative User Study with Non-Expert Users
Wataru Kawabe, Yusuke Sugano
Interactive machine learning (IML) allows users to build their custom machine learning models without expert knowledge. While most existing IML systems are designed with classifica…
Domain-Adaptive Full-Face Gaze Estimation via Novel-View-Synthesis and Feature Disentanglement
Jiawei Qin, Takuru Shimoyama, Xucong Zhang +1
Along with the recent development of deep neural networks, appearance-based gaze estimation has succeeded considerably when training and testing within the same domain. Compared to…
Rotation-Constrained Cross-View Feature Fusion for Multi-View Appearance-based Gaze Estimation
Yoichiro Hisadome, Tianyi Wu, Jiawei Qin +1
Appearance-based gaze estimation has been actively studied in recent years. However, its generalization performance for unseen head poses is still a significant limitation for exis…