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I am a postdoctoral researcher in the School of Electrical Engineering at KAIST.
I received my B.S., M.S. and Ph.D. from KAIST, advised by Prof. In So Kweon.
My research background is computer vision and machine learning.
Recently, I am working on machine learning problems related to data issues, including audio-visual learning, few-shot learning, and active learning.
International Journals - Learning to Localize Sound Source in Visual Scenes: Analysis and Applications
Arda Senocak, Tae-Hyun Oh, Junsik Kim, Ming-Hsuan Yang ,In So Kweon
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
[Paper] [Project]
- Robust and Globally Optimal Manhattan Frame Estimation in Near Real Time
Kyungdon Joo, Tae-Hyun Oh, Junsik Kim, In So Kweon
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018
[Paper] [Project]
International Conferences - Restoration of Video Frames From a Single Blurred Image With Motion Understanding
Dawit Mureja Argaw, Junsik Kim, Francois Rameau, Chaoning Zhang, In So Kweon
IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPR Workshop), Jun 2021
[Paper]
- Motion-blurred Video Interpolation and Extrapolation
Dawit Mureja Argaw, Junsik Kim, Francois Rameau, In So Kweon
AAAI Conference on Artificial Intelligence (AAAI), Feb 2021
[Paper]
- Optical Flow Estimation from a Single Motion-Blurred Image
Dawit Mureja Argaw, Junsik Kim, Francois Rameau, JaeWon Cho, In So Kweon
AAAI Conference on Artificial Intelligence (AAAI), Feb 2021
[Paper]
- ResNet or DenseNet? Introducing Dense Short-cuts to ResNet
Chaoning Zhang*, Philipp Benz*, Dawit Mureja Argaw, Seokju Lee, Junsik Kim, Francois Rameau,
Jean-Charles Bazin, In So Kweon IEEE Winter Conference on Applications of Computer Vision (WACV), Jan. 2021.
[Paper]
- DeepPTZ: Deep Self-Calibration for PTZ Cameras
Chaoning Zhang, Francois Rameau, Junsik Kim, Dawit Mureja Argaw, Jean-Charles Bazin, In So Kweon
IEEE Winter Conference on Applications of Computer Vision (WACV), Mar. 2020.
[Paper]
- Revisiting Residual Networks with Nonlinear Shortcuts
Chaoning Zhang, Francois Rameau, Seokju Lee, Junsik Kim, Philipp Benz, Dawit Mureja Argaw, Jean-Charles Bazin, In So Kweon
British Machine Vision Conference (BMVC), Sep 2019 (spotlight)
[Paper]
- Visuomotor Understanding for Representation Learning of Driving Scenes
Seokju Lee, Junsik Kim, Tae-Hyun Oh, Yongseop Jeong, Donggeun Yoo, Stephen Lin, In So Kweon
British Machine Vision Conference (BMVC), Sep 2019
[Paper] [Project]
- Variational Prototyping-Encoder: One-Shot Learning with Prototypical Images
Junsik Kim, Tae-Hyun Oh, Seokju Lee, Fei Pan, In So Kweon
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2019
[Paper] [Project]
- Part-based Player Identification using Deep Convolutional Representation and Multi-scale Pooling
Arda Senocak, Tae-Hyun Oh, Junsik Kim, In So Kweon
In CVSports workshop in conjunction with CVPR, Jun 2018 (oral)
[Paper]
- Learning to Localize Sound Source in Visual Scenes
Arda Senocak, Tae-Hyun Oh, Junsik Kim, Ming-Hsuan Yang, In So Kweon
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2018
[Paper] [Project]
- Co-domain Embedding using Deep Quadruplet Networks for Unseen Traffic Sign Recognition
Junsik Kim, Seokju Lee, Tae-Hyun Oh, In So Kweon
AAAI Conference on Artificial Intelligence (AAAI), Feb 2018
[Paper]
VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition
Seokju Lee, Junsik Kim, Jae Shin Yoon, Seunghak Shin, Oleksandr Bailo, Namil Kim, Tae-Hee Lee, Hyun Seok Hong, Seung-Hoon Han, In So Kweon
IEEE International Conference on Computer Vision (ICCV), Oct 2017
[Paper] [Project] Pixel-Level Matching for Video Object Segmentation Using Convolutional Neural Networks
Jae Shin Yoon, Francois Rameau, Junsik Kim, Seokju Lee, Seunghak Shin, In So Kweon
IEEE International Conference on Computer Vision (ICCV), Oct 2017
[Paper] [Project]
Globally Optimal Manhattan Frame Estimation in Real-time
Kyungdon Joo, Tae-Hyun Oh, Junsik Kim, In So Kweon
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2016
[Paper] [Project]
Other Publications- Human Body Part Classification from Optical Flow
Junsik Kim, Kyungdon Joo , Tae-Hyun Oh , In So Kweon
IEEE International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), Aug 2016
- A Fusion Approach for Robust Visual Object Tracking in Crowd Scenes
Tae-Hyun Oh, Kyungdon Joo, Junsik Kim, Jaesik Park, In So Kweon
IEEE International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), Nov 2014
Awards & Honors - Outstanding Reviewer Award, International Conference on Learning Representations (ICLR) 2021
- Qualcomm Innovation Awards Sep. 2018
- Best Poster Presentation Award, IPIU Feb. 2018
- Magna Cum Laude, KAIST, Feb. 2012
- Honor Student Program, KAIST Sep. 2010 - Feb. 2012
- National Science and Engineering Scholarship, KOSAF Feb. 2008 - Feb. 2012
Academic ActivitiesReviewer - IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2018 - 2021
- IEEE International Conference on Computer Vision (ICCV) 2019, 2021
- European Conference on Computer Vision (ECCV) 2018, 2020
- Conference on Neural Information Processing Systems (NeurIPS) 2020
- International Conference on Machine Learning (ICML) 2020, 2021
- International Conference on Learning Representations (ICLR) 2021
- AAAI Conference on Artificial Intelligence (AAAI) 2020, 2021
- British Machine Vision Conference (BMVC) 2019 - 2021
- Winter Conference on Applications of Computer Vision (WACV) 2020, 2021
- Asia Conference on Computer Vision (ACCV) 2018, 2020
Last updated: Mar 01, 2018 |
