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Chun-Hung Chao

2 accepted papers

2020

Organ at Risk Segmentation for Head and Neck Cancer Using Stratified Learning and Neural Architecture Search

CVPR 2020poster

OAR segmentation is a critical step in radiotherapy of head and neck (H&N) cancer, where inconsistencies across radiation oncologists and prohibitive labor costs motivate automated approaches. However, leading methods using standard fully convolutional network workflows that are challenged when the…

Cited by 87PDF ↗Scholar ↗
2018

Cube Padding for Weakly-Supervised Saliency Prediction in 360° Videos

CVPR 2018poster

Automatic saliency prediction in 360° videos is critical for viewpoint guidance applications (e.g., Facebook 360 Guide). We propose a spatial-temporal network which is (1) unsupervisedly trained and (2) tailor-made for 360° viewing sphere. Note that most existing methods are less scalable since they…

Cited by 240Source ↗PDF ↗Scholar ↗