114 citations · 128 across the 5 of their papers we have counts for
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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…
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…