Publications
For the latest list of publications see my google scholar page.
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Scott Workman, Armin Hadzic. “Probabilistic Image-Driven Traffic Modeling via Remote Sensing”. In: European Conference on Computer Vision (ECCV). September 2024. [PDF]
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Haolin Yuan, John Aucott, Armin Hadzic, William Paul, Marcia Villegas de Flores, Philip Mathew, Philippe Burlina, and Yinzhi Cao. “EdgeMixup: Embarrassingly Simple Data Alteration to Improve Lyme Disease Lesion Segmentation and Diagnosis Fairness”. In: International Conference on Medical Image Computing and Computer- Assisted Intervention (MICCAI). October 2023, pp. 374–384. [PDF]
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Scott Workman, Armin Hadzic, and M. Usman Rafique. “Handling Image and Label Resolution Mismatch in Remote Sensing”. In: IEEE Winter Conference on Applications of Computer Vision (WACV). January 2023. [PDF]
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Armin Hadzic, Grace M Hwang, Kechen Zhang, Kevin M Schultz, and Joseph D Monaco. “Bayesian optimization of distributed neurodynamical controller models for spatial navigation.” In: Array 2022, pp.100218. [PDF]
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Elise Buckley, Joseph D Monaco, Kevin M Schultz, Robert Chalmers, Armin Hadzic, Kechen Zhang, Grace M Hwang, and M Dwight Carr. “An interdisciplinary approach to high school curriculum development: Swarming Powered by Neuroscience”. In: Proceedings 2022 IEEE Integrated STEM Education Conference (ISEC). March 2022. Best Paper Award [PDF]
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William Paul, Armin Hadzic, Neil Joshi, Fady Alajaji, and Philippe Burlina. “TARA: Training and Representation Alteration for AI Fairness and Domain Generalization”. In: Neural Computation. 2022, pp.1-38. [PDF]
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Ryan Mukherjee, Derek Rollend, Gordon Christie, Armin Hadzic, Sally Matson, Anshu Saksena, and Marisa Hughes. “Towards Indirect Top-Down Road Transport Emissions Estimation”. In: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops. Nashville, Tennessee, June 2021, pp. 1092-1101. Best Paper Award [PDF]
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Mei Chen, Armin Hadzic, Welian Song, and Nathan Jacobs. “Applications of Deep Machine Learning to Highway Safety and Usage Assessment”. In: Transportation Research Board Workshop (Sponsored by AED50). January 2021. Oral.
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Armin Hadzic, Gordon Christie, Jeffrey Freeman, Amber Dismer, Stevan Bullard, Ashley Greiner, Nathan Jacobs, and Ryan Mukherjee. “Estimation Displaced Populations from Overhead”. In: IEEE International Geoscience and Remote Sensing Symposium (IGARSS). Waikoloa Village, Hawaii, September 2020. [PDF] [Code]
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Armin Hadzic, Hunter Blanton, Weilian Song, Mei Chen, Scott Workman, Nathan Jacobs. “RasterNet: Modeling Free-Flow Speed using LiDAR and Overhead Imagery”. In: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops. Seattle, Washington, June 2020, pp. 208-209 [PDF]
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Weilian Song, Scott Workman, Armin Hadzic, Xu Zhang, Eric Green, Mei Chen, Reginald Souleyrette, and Nathan Jacobs. “FARSA: Fully Automated Roadway Safety Assessment”. In: 2018 IEEE Winter Conference on Applications of Computer Vision (WACV). Lake Tahoe, Nevada, March 2018. [PDF] [Code]
Master’s Thesis: Estimating Free-Flow Speed with LiDAR and Overhead Imagery [PDF]