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Jin-Dong Dong

2 accepted papers

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
2018

DPP-Net: Device-aware Progressive Search for Pareto-optimal Neural Architectures

ECCV 2018poster

Recent breakthroughs in Neural Architectural Search (NAS) have achieved state-of-the-art performances in applications such as image classification and language modeling. However, these techniques typically ignore device-related objectives such as inference time, memory usage, and power consumption.…

Cited by 272SourcePDFScholar