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Hiroki Ohashi

2 accepted papers

2021

Influence Estimation for Generative Adversarial Networks

ICLR 2021spotlight

Identifying harmful instances, whose absence in a training dataset improves model performance, is important for building better machine learning models. Although previous studies have succeeded in estimating harmful instances under supervised settings, they cannot be trivially extended to generativ…

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…

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