765 citations · 1.7k across the 20 of their papers we have counts for
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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…
Learning Video-independent Eye Contact Segmentation from In-the-Wild Videos
Tianyi Wu, Yusuke Sugano
Human eye contact is a form of non-verbal communication and can have a great influence on social behavior. Since the location and size of the eye contact targets vary across differ…
Learning-by-Novel-View-Synthesis for Full-Face Appearance-Based 3D Gaze Estimation
Jiawei Qin, Takuru Shimoyama, Yusuke Sugano
Despite recent advances in appearance-based gaze estimation techniques, the need for training data that covers the target head pose and gaze distribution remains a crucial challeng…
Stacked Temporal Attention: Improving First-person Action Recognition by Emphasizing Discriminative Clips
Lijin Yang, Yifei Huang, Yusuke Sugano +1
First-person action recognition is a challenging task in video understanding. Because of strong ego-motion and a limited field of view, many backgrounds or noisy frames in a first-…
Ego4D: Around the World in 3,000 Hours of Egocentric Video
Kristen Grauman, Andrew Westbury, Eugene Byrne +82
We introduce Ego4D, a massive-scale egocentric video dataset and benchmark suite. It offers 3,670 hours of daily-life activity video spanning hundreds of scenarios (household, outd…
EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition 2021: Team M3EM Technical Report
Lijin Yang, Yifei Huang, Yusuke Sugano +1
In this report, we describe the technical details of our submission to the 2021 EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition. Leveraging multip…
DRIV100: In-The-Wild Multi-Domain Dataset and Evaluation for Real-World Domain Adaptation of Semantic Segmentation
Haruya Sakashita, Christoph Flothow, Noriko Takemura +1
Together with the recent advances in semantic segmentation, many domain adaptation methods have been proposed to overcome the domain gap between training and deployment environment…
Shape-conditioned Image Generation by Learning Latent Appearance Representation from Unpaired Data
Yutaro Miyauchi, Yusuke Sugano, Yasuyuki Matsushita
Conditional image generation is effective for diverse tasks including training data synthesis for learning-based computer vision. However, despite the recent advances in generative…
MPIIGaze: Real-World Dataset and Deep Appearance-Based Gaze Estimation
Xucong Zhang, Yusuke Sugano, Mario Fritz +1
Learning-based methods are believed to work well for unconstrained gaze estimation, i.e. gaze estimation from a monocular RGB camera without assumptions regarding user, environment…
It's Written All Over Your Face: Full-Face Appearance-Based Gaze Estimation
Xucong Zhang, Yusuke Sugano, Mario Fritz +1
Eye gaze is an important non-verbal cue for human affect analysis. Recent gaze estimation work indicated that information from the full face region can benefit performance. Pushing…
Seeing with Humans: Gaze-Assisted Neural Image Captioning
Yusuke Sugano, Andreas Bulling
Gaze reflects how humans process visual scenes and is therefore increasingly used in computer vision systems. Previous works demonstrated the potential of gaze for object-centric t…
Labeled pupils in the wild: A dataset for studying pupil detection in unconstrained environments
Marc Tonsen, Xucong Zhang, Yusuke Sugano +1
We present labelled pupils in the wild (LPW), a novel dataset of 66 high-quality, high-speed eye region videos for the development and evaluation of pupil detection algorithms. The…
Rendering of Eyes for Eye-Shape Registration and Gaze Estimation
Erroll Wood, Tadas Baltrusaitis, Xucong Zhang +3
Images of the eye are key in several computer vision problems, such as shape registration and gaze estimation. Recent large-scale supervised methods for these problems require time…
Appearance-Based Gaze Estimation in the Wild
Xucong Zhang, Yusuke Sugano, Mario Fritz +1
Appearance-based gaze estimation is believed to work well in real-world settings, but existing datasets have been collected under controlled laboratory conditions and methods have…