Yunjae Jung
Yunjae Jung
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Ph.D. Student
Robotics and Computer Vision Lab.
Korea Advanced Institute of Science and Technology (KAIST)
yun9298a [at] gmail.com
I am a Ph.D. Student in Robotics and Computer Vision Lab at Korea Advanced Institute of Science and Technology (KAIST). Prof. In so Kweon is my adviser at KAIST. I received B.S. and M.S. degrees in electrical and electronic engineering from Sogang University and KAIST, in 2018 and 2019 respectively.
I am a Ph.D. Student in Robotics and Computer Vision Lab at Korea Advanced Institute of Science and Technology (KAIST). Prof. In so Kweon is my adviser at KAIST. I received B.S. and M.S. degrees in electrical and electronic engineering from Sogang University and KAIST, in 2018 and 2019 respectively.
Research Interests
Research Interests
Computer Vision, Deep learning
Computer Vision, Deep learning
Video Recognition (Action Recognition, Scene Recognition)
Visual Reasoning (Video Summarization, Visual Storytelling)
Self-supervised learning, Unsupervised learning
Publication
Publication
2021
Single-Modal Entropy based Active Learning for Visual Question Answering
Dong-Jin Kim*, Jae Won Cho*, Jinsoo Choi, Yunjae Jung, In So Kweon
British Machine Vision Conference (BMVC), 2021
MCDAL: Maximum Classifier Discrepancy for Active Learning
Jae Won Cho*, Dong-Jin Kim*, Yunjae Jung, In So Kweon
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Accepted
2020
Hide-and-Tell: Learning to Bridge Photo Streams for Visual Storytelling
Yunjae Jung, Dahun Kim, Sanghyun Woo, Kyungsu Kim, Sungjin Kim, In So KweonAssociation for the Advancement of Artificial Intelligence (AAAI), 2020Global-and-Local Relative Position Embedding for Unsupervised Video Summarization
Yunjae Jung, Donghyeon Cho, Sanghyun Woo, In So Kweon European Conference on Computer Vision (ECCV), 20202019
Video Retargeting: Trade-off between Content Preservation and Spatio-temporal Consistency
Donghyeon Cho, Yunjae Jung, Francois Rameau, Dahun Kim, Sanghyun Woo and In So KweonACM Multimedia (MM), 2019Discriminative Feature Learning for Unsupervised Video Summarization
Yunjae Jung, Donghyeon Cho, Dahun Kim, Sanghyun Woo, In So KweonAssociation for the Advancement of Artificial Intelligence (AAAI), 2019 (Oral)Received Honorable Mention, 25th HumanTech Paper Award, Samsung Electronics Co., Ltd.Awards
Awards
Honorable Mention, 25th HumanTech Paper Award, Samsung Electronics Co., Ltd. ($2,000), Feb 2019
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