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Postdoctoral Researcher

We're looking for talented and motivated post-doctoral researchers in multiple areas of AI and ML. We provide a competitive benefits package, please check our page for details and spread the word!

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Can Learned Frame-Prediction Compete with Block-Motion Compensation for Video Coding?

Given recent advances in learned video prediction, we investigate whether a simple video codec using a pre-trained deep model for next frame prediction based on previously encoded/decoded frames without sending any motion side information can compete with standard video codecs based on block-motion compensation. Frame differences given learned fram

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BeyondMoore: Pioneering a New Path in Parallel Programming Beyond Moore’s Law

Dr. Didem Unat is awarded with an ERC starting grant of 1.5M EUR. First ERC in Computer Science from Turkey! Congratulations on her big achievement.

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A Prediction Framework for Fast Sparse Triangular Solves

Najeeb Ahmad, a PhD student of Dr. Didem Unat received the “Best Artifact” award at Euro-Par 2020 conference (24% acceptance rate) held virtually at Warsaw, Poland. Out of the 39 accepted papers, artifacts for 13 papers were accepted and one was chosen for this award. The award was presented during the Best Artifact session held on Thursday 27.08.

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SparCity: Optimization and Co-design Framework for Sparse Computation

Congratulations to Dr. Didem Unat for her new EuroHPC grant - Towards Extreme Scale Technologies and Applications.  The action has a total budget of 2.6M Euros with 6 partners in Europe, where Dr. Unat will be leading the Consortium which includes Simula Research Laboratory (Norway), GraphCore Inc. (Norway), INESC-ID (Portugal), LMU Munich (Germany

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Self-supervised Visual Representation Learning from Videos

Speaker: Weidi Xie

For requesting a zoom invitation, please contact ai-info@ku.edu.tr

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Location: Online (Zoom) Time: 10:00 - 11:00

HoughNet: Integrating near and long-range evidence for bottom-up object detection

Speaker: Nermin Samet

For requesting a zoom invitation, please contact ai-info@ku.edu.tr

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Location: Online (Zoom) Time: 10:00 - 11:00

The Independence Assumption in Computer Vision

Speakers: Sebastien Ehrhardt, Oliver Groth

For requesting a zoom invitation, please contact ai-info@ku.edu.tr

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Location: Online (Zoom) Time: 10:00 - 11:00

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