Publications

MMSeaIce: a collection of techniques for improving sea ice mapping with a multi-task model

Chen, X., Patel, M., Pena Cantu, F. J., Park, J., Noa Turnes, J., Xu, L., Scott, K. A., and Clausi, D. A.: MMSeaIce: a collection of techniques for improving sea ice mapping with a multi-task model, The Cryosphere, 18, 1621–1632, https://doi.org/10.5194/tc-18-1621-2024, 2024.

The AutoICE Challenge

Stokholm, A., Buus-Hinkler, J., Wulf, T., Korosov, A., Saldo, R., Pedersen, L. T., Arthurs, D., Dragan, I., Modica, I., Pedro, J., Debien, A., Chen, X., Patel, M., Cantu, F. J. P., Turnes, J. N., Park, J., Xu, L., Scott, K. A., Clausi, D. A., Fang, Y., Jiang, M., Taleghanidoozdoozan, S., Brubacher, N. C., Soleymani, A., Gousseau, Z., Smaczny, M., Kowalski, P., Komorowski, J., Rijlaarsdam, D., van Rijn, J. N., Jakobsen, J., Rogers, M. S. J., Hughes, N., Zagon, T., Solberg, R., Longépé, N., and Kreiner, M. B.: The AutoICE Challenge, The Cryosphere, 18, 3471–3494, https://doi.org/10.5194/tc-18-3471-2024, 2024.

Unsupervised Methods for Fly Sperm Motility Analysis

Thomson, J. W., Park, J., Magdanz, V., & Clausi, D. A. (2024). Unsupervised Methods for Fly Sperm Motility Analysis. Journal of Computational Vision and Imaging Systems, 9(1), 11–14. https://doi.org/10.15353/jcvis.v9i1.10003

MMSeaIce: Multi-task Mapping of Sea Ice Parameters from AI4Arctic Sea Ice Challenge Dataset

The Influence of Input Variable Selection on Deep Learning-Based Sea Ice Parameter Inversion from Multi-Sensor Satellite Data

X. Chen, M. Patel, F. J. Pena Cantu, J. Park,J. N. Turnes, M. Jiang, L. Xu, K. A. Scott, D. A. Clausi, and W. Huang. “The Influence of Input Variable Selection on Deep Learning-Based Sea Ice Parameter Inversion from Multi-Sensor Satellite Data,” OCEANS 2023 - MTS/IEEE U.S. Gulf Coast, Biloxi, MS, USA, 2023, pp. 1-4, doi: 10.23919/OCEANS52994.2023.10337212.

A Hierarchical Multitask U-Net for Automated Sea Ice Mapping from AI4Arctic Sea Ice Challenge Dataset

F. J. Pena Cantu, X. Chen, Y. Liu, K. Kanani, J. Park, J. N. Turnes, L. Xu, K. A. Scott, and D. A. Clausi. “A Hierarchical Multitask U-Net for Automated Sea Ice Mapping from AI4Arctic Sea Ice Challenge Dataset,” OCEANS 2023 - MTS/IEEE U.S. Gulf Coast, Biloxi, MS, USA, 2023, pp. 1-7, doi: 10.23919/OCEANS52994.2023.10337385.

Domain-Guided Spatio-Temporal Self-Attention for Egocentric 3D Pose Estimation

J. Park, K. Kaai, S. Hossain, N. Sumi, S. Rambhatla, P. Fieguth. Domain-Guided Spatio-Temporal Self-Attention for Egocentric 3D Pose Estimation. ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD), 2023.

Implicit Stylization for Domain Adaptation

J. Park, F. Barnard, S. Hossain, S. Rambhatla. Implicit Stylization for Domain Adaptation. Workshop on Domain Generalization, International Conference on Learning Representations (ICLR), May 4, 2023.

Building Spatio-temporal Transformers for Egocentric 3D Pose Estimation

J. Park, K. Kaai, S. Hossain, N. Sumi, S. Rambhatla, P. Fieguth. Building Spatio-temporal Transformers for Egocentric 3D Pose Estimation. Joint International Workshop on Egocentric Perception, Interaction and Computing (EPIC) and Ego4D, IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), Jun 6, 2022

Challenges in Detection of Rare Close-Call Events from Vehicle-Traffic Videos

A. L. W. Koh, J. Park, P. Fieguth. Challenges in Detection of Rare Close-Call Events from Vehicle-Traffic Videos. Conference on Vision and Intelligent Systems (CVIS), 2022.

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