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Deep Learning for Image/Video Restoration and Compression

We are experiencing a paradigm shift to learned nonlinear models in signal-image-video processing. There are no theoretical bounds on the performance limits of learned models, it is not possible to tell how much the results can be further improved. In order to fill this gap in the state of the art, this project aims following.

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CRAFT: A Benchmark for Causal Reasoning About Forces and InTeractions

Our preliminary results demonstrate that even though these tasks are very intuitive for humans, the implemented baselines could not cope with the underlying challenges.

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AffectON: Incorporating Affect Into Dialog Generation

Recent paper by Zana Buçinca, Yücel Yemez, Engin Erzin, and Metin Sezgin: "AffectON: Incorporating Affect Into Dialog Generation" has been accepted at IEEE Transactions on Affective Computing.

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Cyberphysical Blockchain-Enabled Peer-to-Peer Energy Trading

Recent paper "Cyberphysical Blockchain-Enabled Peer-to-Peer Energy Trading" is published as part of the Cover Feature of IEEE Computer. Three blockchain-based energy-trading models are proposed to overcome the technical challenges and market barriers as well as enhance the adoption of this disruptive technology.

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A new single input multiple output deep temporal regression network (DTRN)

A new single input multiple output deep temporal regression network (DTRN) to detect the vocal tract (VT) contour and the separation boundary between different articulators.

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January 2021, Tuesday
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January 2021, Tuesday

3D Perception for Creativity Assistance

Speakers: Duygu Ceylan (Adobe Research)

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

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Location: Online (Zoom) Duration: 1 hour

Estimation of human force in physical human-robot interaction (pHRI) via machine/deep learning

Speakers: Pouya Niaz (Koç University)

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

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Location: Online (Zoom) Duration: 1 hour