[Quantum-ms] Mark Your Calendar 10/11: EE Seminar - Design Light-weight Deep Networks for Diverse Image Restoration Tasks

[Columbia EE Events]

Dear all, A reminder that this event is happening this Friday 4-5pm. Mark
your calendar if you are interested in coming.

On Mon, Sep 30, 2024 at 8:00 AM Columbia EE Events <
ee-events at ee.columbia.edu> wrote:

> *EE Seminar Announcement *
>
> *Designing light-weight deep networks for diverse image restoration tasks
> <https://www.ee.columbia.edu/events/ee-seminar-designing-light-weight-deep-networks-diverse-image-restoration-tasks>*
>
> *Prof. Se Young Chun*
>
> *Time: 4-5pm, Oct/11/2024*
>
> *Location: 750 CEPSR, Columbia University*
>
>
>
> *Abstract:*
>
> Since the advent of deep learning, image enhancement was one of the first
> applications of it to outperform classical algorithms. Large models usually
> perform better in image restoration tasks, but it is often desirable to
> achieve excellent performance with small networks, especially for embedded
> systems. In this talk, I will go over some of the works where my Lab has
> designed small networks for diverse image restoration tasks such as
> progressive single image deblurring model (ECCV 2020), all-in-one model for
> multiple degradations (CVPR 2023) and its extension to image demosaicing
> for modern non-Bayer image sensors (ICCV 2023) as well as our recent work
> on pretraining-tuning architecture based on LoRA, but with flexible ranks
> for efficiency (ECCV 2024).
>
>
>
> *Bio:*
>
> Se Young Chun received his Ph.D. degree in Electrical Engineering: Systems
> from the University of Michigan, Ann Arbor in 2009. He is currently a
> Professor in the Department of Electrical and Computer Engineering and the
> Interdisciplinary Program in AI, Seoul National University, South Korea. He
> is an associate editor of IEEE Transactions on Image Processing and IEEE
> Transactions on Computational Imaging as well as a member of IEEE Bio
> Imaging and Signal Processing Technical Committee. He was the recipient of
> the 2015 Bruce Hasegawa Young Investigator Medical Imaging Science Award
> from the IEEE Nuclear and Plasma Sciences Society. His research­ interests
> include computational imaging algorithms using deep learning and
> statistical signal processing for applications in medical imaging and
> computer vision.
> [image: chun.jpg]
>
>
>
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