I am currently a Ph.D. student advised by Prof. In So Kweon, at the Electrical Engineering department at KAIST. I earned my B.S. in Electrical Engineering from Georgia Institute of Technology in 2018. My current research interests lie in the general areas of computer vision and deep learning with a particular focus on:
chojw [at] kaist.ac.kr
Bldg N1, Rm 211, 291 Daehak-ro, Yuseong-gu, Daejeon, Korea, 34141
Ph.D. in Electrical Engineering
Aug 2018 - Present
KAIST, South Korea
Advisor: Prof. In So Kweon
B.S. in Electrical Engineering
Aug 2014 - May 2018
Georgia Institute of Technology, USA
Generative Bias for Robust Visual Question Answering
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2023
[ Paper ]
Received Bronze Prize, 28th Samsung Humantech Paper Awards (Top 2.8%)
MCDAL: Maximum Classifier Discrepancy for Active Learning
IEEE Transactions on Neural Networks and Learning Systems (TNNLS 2022). (Impact Factor 14.255)
[ Paper ]
Also presented at "The Workshop on Fine-Grained Visual Categorization" in conjunction with CVPR 2022.
Single-Modal Entropy based Active Learning for Visual Question Answering
British Machine Vision Conference (BMVC), 2021
[ Paper ]
LabOR: Labeling Only if Required for Domain Adaptive Semantic Segmentation
IEEE International Conference on Computer Vision (ICCV), 2021 [Oral] (acceptance rate 3%)
[ Paper ]
Dealing with Missing Modalities in the Visual Question Answer-Difference Prediction Task through Knowledge Distillation
CVPR Multimodal Learning and Applications Workshop (CVPRW), 2021
[ Paper ]
Also presented at "Visual Question Answering Workshop" and "VizWiz Grand Challenge Workshop" in conjunction with CVPR 2021.