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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 87PDFScholar
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 240SourcePDFScholar