Understanding Images

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Date: Thursday, December 6th
Time: 9:00am - 9:25am
Venue: G402 (4F, Glass Building)


Gourmet Photography Dataset for Aesthetic Assessment of Food Images

Abstract: We present Gourmet Photograph Dataset, the first large-scale dataset for food photo aesthetics. We verify its effectiveness via extensive experiments with state-of-the-art visual machine learning algorithms and unseen food photos.

Date: Thursday, December 6th
Time: 9:25am - 9:50am
Venue: G402 (4F, Glass Building)


On the Convergence and Mode Collapse of GAN

Abstract: We present a novel architecture of GAN. The new architecture with a novel loss function improves the convergence problem and basically solves the mode collapse problem of the GAN.

Date: Thursday, December 6th
Time: 9:50am - 10:15am
Venue: G402 (4F, Glass Building)


Removing Objects from Videos with A Few Strokes

Abstract: We propose a complete system for segmenting and removing chosen objects in videos, taking as only input hand-drawn approximate outlines of these objects in at least one frame.

Date: Thursday, December 6th
Time: 10:15am - 10:40am
Venue: G402 (4F, Glass Building)


Dunhuang Mural Restoration using Deep Learning

Abstract: We propose a systematic restoration process for high-resolution deteriorated mural textures, and show the potential for learning different image domain transfer with GAN.

 

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