Tomokazu Murakami — accepted AI-conference papers

2020

Cycle-Contrast for Self-Supervised Video Representation Learning

Quan Kong, Wenpeng Wei, Ziwei Deng, Tomoaki Yoshinaga, Tomokazu Murakami

NeurIPS 2020poster

We present Cycle-Contrastive Learning (CCL), a novel self-supervised method for learning video representation. Following a nature that there is a belong and inclusion relation of video and its frames, CCL is designed to find correspondences across frames and videos considering the contrastive repres…

Cited by 54 Source ↗PDF ↗Scholar ↗

2019

MMAct: A Large-Scale Dataset for Cross Modal Human Action Understanding

Quan Kong, Ziming Wu, Ziwei Deng, Martin Klinkigt, Bin Tong, Tomokazu Murakami

ICCV 2019poster

Unlike vision modalities, body-worn sensors or passive sensing can avoid the failure of action understanding in vision related challenges, e.g. occlusion and appearance variation. However, a standard large-scale dataset does not exist, in which different types of modalities across vision and sensors…

Cited by 124 PDF ↗Scholar ↗