Heewon Kim

Ph. D. candidate

Department of Electrical and Computer Engineering
Seoul National University
Advisor: Kyoung Mu Lee and Bohyung Han
E-mail: ghimhw (at) snu.ac.kr

Research Interest:
Image manipulation, Few-shot learning, N
eural network optimization

Google Scholar Profile (Citations: 5000+)
CV

News

  • [23.01.21] One paper is accepted to ICLR 2023.

  • One paper is accepted to JVCI.

  • One paper is accepted to PLOS ONE.

  • One paper is accepted to ECCV 2022.

  • One paper is accepted to CVPR 2022.

  • Two papers are accepted to WACV 2022 (in HAWAII!).

  • One paper is selected as an Oral Presentation (top 3%) in ICCV 2021.

  • I am selected as a candidate for Youlchon AI Star Scholarship ($8,000).

  • Three papers are accepted to ICCV 2021.

  • I got married 🐰!

  • I won a bronze prize ($5,000) in the 27th Humantech paper award.

  • I co-organized the Mobile AI workshop and challenge at CVPR 2021.

  • One paper is accepted to NeurIPS 2020.

  • I am selected as an Outstanding Reviewer in ECCV 2020.

Education

  • Seoul National University

    • Ph.D. in Electrical and Computer Engineering, 03/2017 ~ present

    • B.S. in Electrical and Computer Engineering, 03/2008 ~ 02/2014

      • B.S. in Management Of Technology, 03/2011 ~ 02/2014

      • Reserve Officers' Training Corps (ROTC), 03/2010 ~ 02/2014

  • Humboldt-Universität zu Berlin, 09/2012 ~ 06/2013

    • Visiting Student

  • Seoul Science High School, 03/2006 ~ 02/2008


Selected Publications

NERDS: A General Framework to Train Camera Denoisers from Raw-RGB Noisy Image Pairs

Heewon Kim and Kyoung Mu Lee.

ICLR 2023

Fine-Grained Neural Architecture Search for Image Super-Resolution

Heewon Kim, Seokil Hong, Bohyung Han, Heesoo Myeong, and Kyoung Mu Lee.

JVCI, Accepted 2022

Machine Learning-Based Predictive Modeling of Depression in Hypertensive Populations

Chiyoung LeeI and Heewon Kim

PLOS ONE, Accepted 2022

CADyQ: Content-Aware Dynamic Quantization for Image Super-Resolution

Cheeun Hong, Sungyong Baik, Heewon Kim, Seungjun Nah, and Kyoung Mu Lee.

ECCV 2022.

Attentive Fine-Grained Structured Sparsity for Image Restoration

Junghun Oh, Heewon Kim, Seungjun Nah, Cheeun Hong, Jonghyun Choi, and Kyoung Mu Lee.

CVPR 2022.

DAQ: Channel-Wise Distribution-Aware Quantization for Deep Image Super-Resolution Networks

Cheeun Hong*, Heewon Kim*, Sungyong Baik, Junghun Oh, and Kyoung Mu Lee.
(* equal contribution)

WACV 2022.

Batch Normalization Tells You Which Filter is Important

Junghun Oh, Heewon Kim, Sungyong Baik, Cheeun Hong, and Kyoung Mu Lee.

WACV 2022.

Searching for Controllable Image Restoration Networks

Heewon Kim, Sungyong Baik, Myungsub Choi, Janghoon Choi, and Kyoung Mu Lee.

ICCV 2021 (Bronze prize in Humantech).

[paper (pdf)], [poster], [video]

Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning

Sungyong Baik, Janghoon Choi, Heewon Kim, Dohee Cho, Jaesik Min, and Kyoung Mu Lee.

ICCV 2021 (Oral Presentation, 3% acceptance rate).

[paper (pdf)], [poster]

Motion-Aware Dynamic Architecture for Efficient Frame Interpolation

Myungsub Choi, Suyoung Lee, Heewon Kim, and Kyoung Mu Lee.

ICCV 2021.

[paper (pdf)], [poster]

Meta-Learning with Adaptive Hyperparameters

Sungyong Baik, Myungsub Choi, Janghoon Choi, Heewon Kim, and Kyoung Mu Lee.

NeurIPS 2020.

[paper (pdf)], [code]

Channel Attention is All You Need for Video Frame Interpolation

Myungsub Choi, Heewon Kim, Bohyung Han, Ning Xu, and Kyoung Mu Lee.

AAAI 2020 (Spotlight presentation), 2nd place in AIM 2019 ICCV Workshop - Video Temporal Super-Resolution Challenge.

[paper (pdf)], [video], [project]

Fine-Grained Neural Architecture Search

Heewon Kim, Seokil Hong, Bohyung Han, Heesoo Myeong, and Kyoung Mu Lee.

arXiv 2019 (Weekly paper at Medium)

[paper (pdf)]

Task-Aware Image Downscaling

Heewon Kim, Myungsub Choi, Bee Lim, and Kyoung Mu Lee.

ECCV 2018.

[paper (pdf)], [poster], [project]

Enhanced Deep Residual Networks for Single Image Super-Resolution

Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, and Kyoung Mu Lee.

CVPRW 2017 (Best paper award), 1st place in NTIRE 2017 Workshop and Challenge, 4000+ citations.

[paper (pdf)], [code], [slide]

Professional Experience

  • [2022. 6 - 2022. 9] Perception intern, Autonomous Driving Team at NVIDIA (worked with Heeseok Lee, Junghyun Kwon, and Sangmin Oh)

  • [2018. 3 - 2018. 9] Research intern, Autonomous Driving Team at Qualcomm (worked with Heesoo Myeong and Duck Hoon Kim)

  • [2014. 3 - 2016. 6] HR Officer (Battalion S1), Lieutenant of Republic of Korea Army

Honors and Awards

Scholarship

  • [2021] Youlchon AI Star Scholarship, Youlchon Foundation

  • [2019 - Present] Graduate sponsorship, Samsung Advanced Institute of Technology

  • [2018 - 2020] Graduate study scholarship, Samduk Corp.

  • [2011 - 2013] Undergraduate study scholarship, Samduk Corp.

Academic Services

  • Co-organizer: Mobile AI workshop and challenge at CVPR 2021

  • Computer vision conference reviewer: CVPR, ECCV, ICCV, BMVC, ACCV, WACV

  • Machine learning conference reviewer: ICLR, NeurIPS, AAAI

  • Journal reviewer: TPAMI, TIP, TNNLS, TCSVT

  • Emergency reviewer: ICCV 2021, CVPR 2021, CVPR 2020, ECCV 2020

Research Project

  • [2022. 4 - Present] Private with Samsung Advanced Institute of Technology

  • [2021. 4 - 2022. 3] Tunable Image Signal Processor for Image Enhancement with Samsung Advanced Institute of Technology

  • [2020. 4 - 2021. 3] Searching for Controllable Image Restoration Networks with Samsung Advanced Institute of Technology

  • [2019. 4 - 2020. 5] Continuous domain generalization for object recognition with Samsung Advanced Institute of Technology

  • [2018. 9 - 2019. 4] Night pedestrian synthesis using image-to-image translation with Samsung Advanced Institute of Technology

  • [2018. 9 - 2019. 4] Unsupervised image super-resolution using continual learning with Samsung Research