Research output per year
Research output per year
Personal profile
Education
Ph. D : Gwangju Institute of Science and Technology (2015)
M.S : Gwangju Institute of Science and Technology (2010)
B.S : Chung-Buk National University of Information and Communication Engineering (2009)
M.S : Gwangju Institute of Science and Technology (2010)
B.S : Chung-Buk National University of Information and Communication Engineering (2009)
Research Interests
Computer Vision, Machine Learning
Major Research Achievements
Object Detection based on Region Decomposition and Assembly, AAAI Conference on Artificial Intelligence (AAAI), January, 2019.
Confidence-Based Data Association and Discriminative Deep Appearance Learning for Robust Online Multi-Object Tracking, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 40, No. 3, PP. 595-610, March, 2018.
Confidence-Based Data Association and Discriminative Deep Appearance Learning for Robust Online Multi-Object Tracking, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 40, No. 3, PP. 595-610, March, 2018.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Bridging the Knowledge Gap via Transformer-Based Multi-Layer Correlation Learning
Bak, H. B. & Bae, S. H., 2024, In: IEEE Access. 12, p. 53533-53548 16 p.Research output: Contribution to journal › Article › peer-review
Open Access -
AFI-GAN: Improving feature interpolation of feature pyramid networks via adversarial training for object detection
Lee, S. H. & Bae, S. H., Jun 2023, In: Pattern Recognition. 138, 109365.Research output: Contribution to journal › Article › peer-review
9 Scopus citations -
Decode-MOT: How Can We Hurdle Frames to Go beyond Tracking-by-Detection?
Lee, S. H., Park, D. H. & Bae, S. H., 2023, In: IEEE Transactions on Image Processing. 32, p. 4378-4392 15 p.Research output: Contribution to journal › Article › peer-review
15 Scopus citations -
Deformable Part Region Learning and Feature Aggregation Tree Representation for Object Detection
Bae, S. H., 1 Sep 2023, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 45, 9, p. 10817-10834 18 p.Research output: Contribution to journal › Article › peer-review
6 Scopus citations -
Deformable Part Region Learning for Object Detection
Bae, S. H., 30 Jun 2022, AAAI-22 Technical Tracks 1. Association for the Advancement of Artificial Intelligence, p. 95-103 9 p. (Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022; vol. 36).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access3 Scopus citations