Follow
Sungwon Park
Sungwon Park
Verified email at kaist.ac.kr
Title
Cited by
Cited by
Year
Improving unsupervised image clustering with robust learning
S Park, S Han, S Kim, D Kim, S Park, S Hong, M Cha
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
302021
Mitigating embedding and class assignment mismatch in unsupervised image classification
S Han, S Park, S Park, S Kim, M Cha
European Conference on Computer Vision, 768-784, 2020
192020
Learning to score economic development from satellite imagery
S Han, D Ahn, S Park, J Yang, S Lee, J Kim, H Yang, S Park, M Cha
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
152020
Lightweight and robust representation of economic scales from satellite imagery
S Han, D Ahn, H Cha, J Yang, S Park, M Cha
Proceedings of the AAAI Conference on Artificial Intelligence 34 (01), 428-436, 2020
132020
Elsa: Energy-based learning for semi-supervised anomaly detection
S Han, H Song, S Lee, S Park, M Cha
arXiv preprint arXiv:2103.15296, 2021
52021
Take a chance: Managing the exploitation-exploration dilemma in customs fraud detection via online active learning
S Kim, TD Mai, TND Khanh, S Han, S Park, K Singh, M Cha
arXiv preprint arXiv:2010.14282, 2020
42020
Learning economic indicators by aggregating multi-level geospatial information
S Park, S Han, D Ahn, J Kim, J Yang, S Lee, S Hong, J Kim, S Park, ...
Proceedings of the Association for the Advanced of Artificial Intelligence …, 2022
32022
Classification of Goods Using Text Descriptions With Sentences Retrieval
E Lee, S Kim, S Kim, S Park, M Cha, S Jung, S Yang, Y Choi, S Ji, M Song, ...
arXiv preprint arXiv:2111.01663, 2021
22021
Knowledge Sharing via Domain Adaptation in Customs Fraud Detection
S Park, S Kim, M Cha
arXiv preprint arXiv:2201.06759, 2022
12022
Active Learning for Human-in-the-Loop Customs Inspection
S Kim, TD Mai, S Han, S Park, T Nguyen, J So, K Singh, M Cha
IEEE Transactions on Knowledge and Data Engineering, 2022
12022
A Comprehensive and Adversarial Approach to Self-Supervised Representation Learning
YZ Xu, S Han, S Park, M Cha, CT Li
2020 IEEE International Conference on Big Data (Big Data), 709-717, 2020
12020
A Comprehensive Approach to Unsupervised Embedding Learning based on AND Algorithm
S Han, Y Xu, S Park, M Cha, CT Li
arXiv preprint arXiv:2002.12158, 2020
12020
Downscaling Earth System Models with Deep Learning
S Park, K Singh, A Nellikkattil, E Zeller, TD Mai, M Cha
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
2022
FedX: Unsupervised Federated Learning with Cross Knowledge Distillation
S Han, S Park, F Wu, S Kim, C Wu, X Xie, M Cha
arXiv preprint arXiv:2207.09158, 2022
2022
IMAGE ANALYSIS SYSTEM AND OPERATING METHOD OF THE SAME
M Cha, S Han, S Park, S Kim, S Park
US Patent App. 17/375,650, 2022
2022
Weakly supervised method to predict economic development: A case study for Nepal and Cambodia
D Ahn, J Yang, S Park, S Han, E Lee, S Lee, H Yang, S Park, J Kim, ...
Data-driven Humanitarian Mapping Workshop 2021, 2021
2021
A Comprehensive and Adversarial Approach to Unsupervised Embedding Learning
Y Xu, S Han, S Park, M Cha, CT Li
2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
2020
Teaching Machines to Measure Economic Activities from Satellite Images: Challenges and Solutions
D Ahn, M Cha, S Han, J Kim, S Lee, S Park, S Park, H Yang, J Yang
2020
FedX: Unsupervised Federated Learning with Cross Knowledge Distillation
Human-in-the-loop solution for scoring economic development from geospatial data
S Park, D Ahn, S Han, E Lee, D Kim, J Yang, S Lee, S Park, H Yang, J Kim, ...
The system can't perform the operation now. Try again later.
Articles 1–20