The Computer Graphics & Multimedia Lab (CGM) is a cutting-edge facility dedicated to advancing the field of computer vision, with a focus on both 2D and 3D visual data processing and analysis. Leveraging state-of-the-art machine learning tools, the lab explores innovative solutions and applications in computer vision and haptic devices.

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