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Tomoaki Yoshinaga

2 accepted papers

2021

QPIC: Query-Based Pairwise Human-Object Interaction Detection With Image-Wide Contextual Information

CVPR 2021poster

We propose a simple, intuitive yet powerful method for human-object interaction (HOI) detection. HOIs are so diverse in spatial distribution in an image that existing CNN-based methods face the following three major drawbacks; they cannot leverage image-wide features due to CNN's locality, they rely…

Cited by 265PDFcodeScholar
2020

Cycle-Contrast for Self-Supervised Video Representation Learning

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 54SourcePDFScholar