I am an associate professor of Artificial Intelligence and Computer Science at POSTECH, and a faculty member of POSTECH Computer Vision Lab. I did a post-doc with Ivan Laptev and Jean Ponce in the WILLOW team at the Department of Computer Science of the École Normale Supérieure and Inria Paris. I completed my BS and PhD at POSTECH where I worked with Joon Hee Han and Bohyung Han.

My research lies in computer vision and machine learning. I currently work in particular on label-efficient learning, domain adaptation, metric learning, activity understanding, and learning reliable models for visual perception.

News

2022

  Two papers are accepted to ECCV 2022.
  A paper on weakly supervised learning is accepted to IJCV.
  Eight papers (including one best paper finalist) are accepted to CVPR 2022.

  Our paper on foggy scene segmentation is nominated as a best paper finalist in CVPR 2022.
  Sehyun, Sohyun, and Sungyeon won the gold prize at IPIU 2022.

  I will be serving as an Area Chair of CVPR 2022, ACCV 2022, and WACV 2023.

  Our work on referring image segmentation is featured in MSRA Highlighted Research.
  Our work on foggy scene segmentation is featured in Donga Science.

2021

  Three papers are accepted to BMVC 2021.
  A paper on video understanding is accepted to NeurIPS 2021.
  Two papers on person search and video understanding are accepted to ICCV 2021.
  A paper on knowledge transfer for deep metric learning is accepted to CVPR 2021.
  A paper on modeling penultimate activations of classification networks is accepted to UAI 2021.
  A paper on medical image synthesis is accepted to appear at WACV 2021.

  Sungyeon won the best paper runner up award at the Electronic Times ICT Paper Contest.
  Sungyeon, Dongwon, Boseung, and Jicheol won the grand and bronze prizes at IPIU 2021.
  Sungyeon and Tackgeun won Naver Ph.D Fellowship.
  Sungyeon won the Qualcomm Innovation Fellowship.

  I will be serving as an Area Chair of ICCV 2021 and MVA 2021.

Selected Recent Publications

Learning to Detect Semantic Boundaries with Image-level Class Labels

Namyup Kim*, Sehyun Hwang*, and Suha Kwak (*equal contribution)
International Journal of Computer Vision (IJCV), 2022

FIFO: Learning Fog-invariant Features for Foggy Scene Segmentation

Sohyun Lee, Taeyoung Son, and Suha Kwak
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Oral Presentation, Best Paper Finalist

Collaborative Transformers for Grounded Situation Recognition

Junhyeong Cho, Youngseok Yoon, and Suha Kwak
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022

ReSTR: Convolution-free Referring Image Segmentation Using Transformers

Namyup Kim, Dongwon Kim, Cuiling Lan, Wenjun Zeng, and Suha Kwak
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022

Self-Taught Metric Learning without Labels

Sungyeon Kim, Dongwon Kim, Minsu Cho, and Suha Kwak
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022

Semi-supervised Semantic Segmentation with Error Localization Network

Donghyeon Kwon and Suha Kwak
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022

Style Neophile: Constantly Seeking Novel Styles for Domain Generalization

Juwon Kang, Sohyun Lee, Namyup Kim, and Suha Kwak
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022

Detector-Free Weakly Supervised Group Activity Recognition

Dongkeun Kim, Jinsung Lee, Minsu Cho, and Suha Kwak
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022

Reflection and Rotation Symmetry Detection via Equivariant Learning

Ahyun Seo, Byungjin Kim, Suha Kwak, and Minsu Cho
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022

Relational Self-Attention: What's Missing in Attention for Video Understanding

Manjin Kim*, Heeseung Kwon*, Chunyu Wang, Suha Kwak, and Minsu Cho (*equal contribution)
Annual Conference on Neural Information Processing Systems (NeurIPS), 2021

ASMR: Learning Attribute-Based Person Search with Adaptive Semantic Margin Regularizer

Boseung Jeong*, Jicheol Park*, and Suha Kwak (*equal contribution)
IEEE/CVF International Conference on Computer Vision (ICCV), 2021

Learning Self-Similarity in Space and Time as Generalized Motion for Video Action Recognition

Heeseung Kwon*, Manjin Kim*, Suha Kwak, and Minsu Cho (*equal contribution)
IEEE/CVF International Conference on Computer Vision (ICCV), 2021

Embedding Transfer with Label Relaxation for Improved Metric Learning

Sungyeon Kim, Dongwon Kim, Minsu Cho, and Suha Kwak
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021

URIE: Universal Image Enhancement for Visual Recognition in the Wild

Taeyoung Son, Juwon Kang, Namyup Kim, Sunghyun Cho, and Suha Kwak
European Conference on Computer Vision (ECCV), 2020

MotionSqueeze: Neural Motion Feature Learning for Video Understanding

Heeseung Kwon, Manjin Kim, Suha Kwak, and Minsu Cho
European Conference on Computer Vision (ECCV), 2020

Proxy Anchor Loss for Deep Metric Learning

Sungyeon Kim, Dongwon Kim, Minsu Cho, and Suha Kwak
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020

Deep Metric Learning Beyond Binary Supervision

Sungyeon Kim, Minkyo Seo, Ivan Laptev, Minsu Cho, and Suha Kwak
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019
Oral Presentation

Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations

Jiwoon Ahn, Sunghyun Cho*, and Suha Kwak* (*co-corresponding authors)
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019
Oral Presentation

Domain Specific Batch Normalization for Unsupervised Domain Adaptation

Woong-Gi Chang*, Tackgeun You*, Seonguk Seo*, Suha Kwak, and Bohyung Han (*equal contribution)
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019

Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation

Jiwoon Ahn and Suha Kwak
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2018

Professional Service

 Editorial Board Member
  • International Journal of Computer Vision (IJCV)
 Area Chair / Senior Program Committee
  • IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
  • IEEE/CVF International Conference on Computer Vision (ICCV), 2021
  • IEEE/CVF International Conference on Computer Vision (ICCV), 2019
  • IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023
  • Asian Conference on Computer Vision (ACCV), 2022
  • International Conference on Machine Vision Applications (MVA), 2021

Our Group

 PhD Students
 MS Students
  • Jinsung Lee
 Undergraduate Students
  • Taegyu Park
  • Jinwoo Park
 Alumni
  • Junhyeong Cho (BS 2022)
  • Taeyoung Son (MS 2022)
  • Kyungmoon Lee (MS 2021)
  • Daniel Kim (MS 2020, co-advised by Prof. Bohyung Han)
  • Sunwoo Oh (MS 2020, co-advised by Prof. Bohyung Han)
  • Jaeyong Park (MS 2019, co-advised by Prof. Sunghyun Cho)
  • Jiwoon Ahn (MS 2019, co-advised by Prof. Sunghyun Cho)
  • Woong Gi Chang (MS 2019, co-advised by Prof. Bohyung Han)
  • Wonseok Lee (MS 2019, co-advised by Prof. Bohyung Han)
  • Mooyeol Baek (MS 2018, co-advised by Prof. Bohyung Han)
  • Jicheol Park (MS 2018, co-advised by Prof. Sang Hyuk Son)

Contact

+82-54-279-2390
315 B2, POSTECH

77 Cheongam-ro, Nam-gu
Pohang, Gyungbuk
37673 Korea

suha.kwak (a) postech.ac.kr