Sato Lab./Sugano Lab.
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Bridging Perspectives: A Survey on Cross-view Collaborative Intelligence with Egocentric-Exocentric Vision
Perceiving the world from both egocentric (first-person) and exocentric (third-person) perspectives is fundamental to human cognition, …
Yuping He
,
Yifei Huang
,
Guo Chen
,
Lidong Lu
,
Baoqi Pei
,
Jilan Xu
,
Tong Lu
,
Yoichi Sato
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Learning-by-Generation: Enhancing Gaze Estimation via Controllable Generative Data and Two-Stage Training
Generalization to unseen environments is crucial in appearance-based gaze estimation but is primarily hindered by limitations in …
Jiawei Qin
,
Xueting Wang
,
Yusuke Sugano
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DOI
Domain-Adaptive Full-Face Gaze Estimation via Novel-View-Synthesis and Feature Disentanglement
Along with the recent development of deep neural networks, appearance-based gaze estimation has succeeded considerably when training …
Jiawei Qin
,
Takuru Shimoyama
,
Xucong Zhang
,
Yusuke Sugano
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DOI
Audio-visual localization based on spatial relative sound order
Sound localization is one of the essential tasks in audio-visual learning. Especially, stereo sound localization methods have been …
Tomoya Sato
,
Yusuke Sugano
,
Yoichi Sato
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DOI
Prompt-augmented Boundary Attentive Learning for Weakly Supervised Temporal Sentence Grounding
Weakly supervised temporal sentence grounding aims to temporally locate events described by a sentence in a video, relying solely on …
Zhehao Zhu
,
Yifei Huang
,
Mingfang Zhang
,
Liangyang Ouyang
,
Yoichi Sato
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DOI
Example-based Conditioning for Text-to-Image Generative Models
Recent progress in image generation has made it possible to create high-quality images. Techniques using diffusion models have shown …
Atsush Takada
,
Wataru Kawabe
,
Yusuke Sugano
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DOI
Evaluating User Experience and Data Quality in Gamified Data Collection for Appearance-Based Gaze Estimation
Appearance-based gaze estimation, which uses only a regular camera to estimate human gaze, is important in various application fields. …
Mingtao Yue
,
Tomomi Sayuda
,
Miles Pennington
,
Yusuke Sugano
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DOI
Matching Compound Prototypes for Few-Shot Action Recognition
The task of few-shot action recognition aims to recognize novel action classes using only a small number of labeled training samples. …
Yifei Huang
,
Lijin Yang
,
Guo Chen
,
Hongjie Zhang
,
Feng Lu
,
Yoichi Sato
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Image-to-Text Translation for Interactive Image Recognition: A Comparative User Study with Non-Expert Users
Interactive machine learning (IML) allows users to build their custom machine learning models without expert knowledge. While most …
Wataru Kawabe
,
Yusuke Sugano
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DOI
Technical Understanding from Interactive Machine Learning Experience: A Study through a Public Event for Science Museum Visitors
While AI technology is becoming increasingly prevalent in our daily lives, the comprehension of machine learning (ML) among non-experts …
Wataru Kawabe
,
Yuri Nakao
,
Akihisa Shitara
,
Yusuke Sugano
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