Research output per year
Research output per year
Personal profile
Education
2018.2 KAIST Mechanical Engineering & Electrical Engineering (Double Major)
2019.8 KAIST Electrical Engineering
2023.8 KAIST Electrical Engineering (Ph.D.)
2019.8 KAIST Electrical Engineering
2023.8 KAIST Electrical Engineering (Ph.D.)
Professional Experience
2021.4 - 2021.12 Adobe Research, Research Intern
2023.8 - 2025.2 Electronics and Telecommunications Research Institute (ETRI), Researcher
2023.8 - 2025.2 Electronics and Telecommunications Research Institute (ETRI), Researcher
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Dive into the research topics where Kwanyong Park is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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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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Weak-to-Strong Compositional Learning from Generative Models for Language-Based Object Detection
Park, K., Saito, K. & Kim, D., 2025, Computer Vision – ECCV 2024 - 18th European Conference, Proceedings. Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T. & Varol, G. (eds.). Springer Science and Business Media Deutschland GmbH, p. 1-19 19 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15081 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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MTMMC: A Large-Scale Real-World Multi-Modal Camera Tracking Benchmark
Woo, S., Park, K., Shin, I., Kim, M. & Kweon, I. S., 2024, Proceedings - 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024. IEEE Computer Society, p. 22335-22346 12 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access1 Scopus citations -
Bidirectional Domain Mixup for Domain Adaptive Semantic Segmentation
Kim, D., Seo, M., Park, K., Shin, I., Woo, S., Kweon, I. S. & Choi, D. G., 27 Jun 2023, AAAI-23 Technical Tracks 1. Williams, B., Chen, Y. & Neville, J. (eds.). AAAI Press, p. 1114-1123 10 p. (Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023; vol. 37).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access9 Scopus citations -
Joint self-supervised learning and adversarial adaptation for monocular depth estimation from thermal image
Shin, U., Park, K., Lee, K., Lee, B. U. & Kweon, I. S., Jul 2023, In: Machine Vision and Applications. 34, 4, 55.Research output: Contribution to journal › Article › peer-review
2 Scopus citations -
Learning Classifiers of Prototypes and Reciprocal Points for Universal Domain Adaptation
Hur, S., Shin, I., Park, K., Woo, S. & Kweon, I. S., 2023, Proceedings - 2023 IEEE Winter Conference on Applications of Computer Vision, WACV 2023. Institute of Electrical and Electronics Engineers Inc., p. 531-540 10 p. (Proceedings - 2023 IEEE Winter Conference on Applications of Computer Vision, WACV 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access9 Scopus citations