Computer Graphics & Multimedia Lab (CGM) Lab creates new knowledge through discovery, while getting hands-on experience at the state of the art laboratory equipment. The wide array of our lab, enables both the students and the faculty to cover all the relevant topics in the field. Projects in CGM Lab are either driven by the research interest of the faculty, or by industrial collaborations.   more about us

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SELECTED PUBLICATIONS
Maintaining Natural Image Statistics with the Contextual Loss 2016
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Maintaining Natural Image Statistics with the Contextual Loss
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ImageNet-21K Pretraining for the Masses
Image for Image for PETA: Photo Albums Event Recog...
PETA: Photo Albums Event Recognition using Transformers Attention
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Multi-label Classification with Partial Annotations using Class-aware Selective Loss
Image for Graph Embedded Pose Clustering for Anomaly Detection
Graph Embedded Pose Clustering for Anomaly Detection
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Dynamic-Net: Tuning the Objective Without Re-training for Synthesis Tasks
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Solving archaeological puzzles
Image for Context-Aware Saliency Detection
Context-Aware Saliency Detection