Article-Journal

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 …
PDF Cite DOI
Learning-by-Generation: Enhancing Gaze Estimation via Controllable Generative Data and Two-Stage Training
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 …
PDF Cite Code DOI
Domain-Adaptive Full-Face Gaze Estimation via Novel-View-Synthesis and Feature Disentanglement
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 …
PDF Cite DOI
Audio-visual localization based on spatial relative sound order
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 …
PDF Cite Code DOI
Prompt-augmented Boundary Attentive Learning for Weakly Supervised Temporal Sentence Grounding
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 …
PDF Cite DOI
Example-based Conditioning for Text-to-Image Generative Models
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. …
PDF Cite DOI
Evaluating User Experience and Data Quality in Gamified Data Collection for Appearance-Based Gaze Estimation
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. …
PDF Cite Code DOI
Matching Compound Prototypes for Few-Shot Action Recognition
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 …
PDF Cite DOI
Image-to-Text Translation for Interactive Image Recognition: A Comparative User Study with Non-Expert Users
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 …
PDF Cite DOI
Technical Understanding from Interactive Machine Learning Experience: A Study through a Public Event for Science Museum Visitors
Simultaneous control of head pose and expressions in 3D facial keypoint-based GAN
In this work, we present a novel method for simultaneously controlling the head pose and the facial expressions of a given input image …
PDF Cite DOI
Simultaneous control of head pose and expressions in 3D facial keypoint-based GAN