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

[Columbia EE Events]

Dear all, please note that this event is also available via Zoom. Both
in-person and Zoom options will be offered. Please use this link
<https://urldefense.proofpoint.com/v2/url?u=https-3A__www.google.com_url-3Fq-3Dhttps-3A__columbiauniversity.zoom.us_j_2096068112-3Fomn-253D94546567151-26sa-3DD-26source-3Dcalendar-26usg-3DAOvVaw3Tk0bqzfvFNbmtWadsxrYV&d=DwIFaQ&c=009klHSCxuh5AI1vNQzSO0KGjl4nbi2Q0M1QLJX9BeE&r=SD-9ztpHDQVkXLFc0zdc9RZWqGhdQ2vAJZ0O73eMlt0&m=AkJasHPpcgpfzZTOmaGOT9WhEgmv6Zj8_Ph_EhzbJ3Auo18e4hiK-o1KfGhP3S99&s=sH2NZ9a42SbXJStKUTH_sMoQsGm3tBz2rTNuj66L8po&e= >
to
attend the meeting on Friday.

On Mon, Oct 7, 2024 at 9:43 AM Columbia EE Events <ee-events at ee.columbia.edu>
wrote:

> 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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