A selection of my publications, sorted by time.
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Selected Publications

  1. Reyes-Angulo, A. A., Paheding, S., Ramos, L. T., Sappa, A. D., KS, S. K., & Oommen, T. (2026). MMLSV2: A Multimodal Dataset for Martian Landslide Detection in Remote Sensing Imagery. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026.
  2. Reyes-Angulo, A. A., Paheding, S., & others (2026). 1st Mars Landslide Segmentation Challenge - PBVS 2026. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2026.
  3. Reyes-Angulo, A. A., Paheding, S., & others (2025). NExNet Seg: Neuron Expansion Network for Medical Image Segmentation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
  4. Reyes-Angulo, A. A. (2025). Generalizing Medical Image Segmentation Task With Efficient Deep Learning Models. Ph.D. dissertation, Michigan Technological University.
  5. Reyes-Angulo, A. A., Paheding, S., & others (2025). Attention Based Spectral Profile Representation for Hyperspectral Image Classification. In IEEE National Aerospace and Electronics Conference (NAECON), 2025.
  6. Reyes-Angulo, A. A., Paheding, S., & others (2025). S-amba: A Multi-View Foul Recognition in Soccer Through a Mamba-Based Approach. In ICSPORTS, 2025.
  7. Reyes, A. A., Paheding, S., Rajaneesh, A., Sajinkumar, K. S., & Oommen, T. (2024). MarsLS-Net: Martian Landslides Segmentation Network and Benchmark Dataset. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024.
  8. Reyes-Angulo, A. A., Paheding, S. (2024). Forward-Forward Algorithm for Hyperspectral Image Classification. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2024.
  9. Paheding, S., Reyes, A. A., Alam, M. S., & others (2024). U-Net-Based Medical Image Segmentation: A Comparative Analysis and Future Trends. In Computer Vision: Challenges, Trends, and Opportunities, CRC Press, 2024.
  10. Paheding, S., Reyes, A. A., Rajaneesh, A., Sajinkumar, K. S., & Oommen, T. (2023). C-PLES: Contextual Progressive Layer Expansion With Self-Attention for Multi-Class Landslide Segmentation on Mars Using Multimodal Satellite Imagery. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2023, pp. 354-364.
  11. Reyes-Angulo, A. A., Paheding, S. (2023). The Forward-Forward Algorithm as a Feature Extractor for Skin Lesion Classification: A Preliminary Study. arXiv preprint arXiv:2307.00617.
  12. Paheding, S., Reyes, A. A., Kasaragod, A., & Oommen, T. (2022). GAF-NAU: Gramian Angular Field Encoded Neighborhood Attention U-Net for Pixel-Wise Hyperspectral Image Classification. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2022, pp. 408-416.
  13. Reyes, A. A., Paheding, S., Deo, M., & Audette, M. (2022). Gabor Filter-Embedded U-Net with Transformer-Based Encoding for Biomedical Image Segmentation. In International Workshop on Multiscale Multimodal Medical Imaging, 2022.
  14. Angulo, A. A. R., Yang, X., Niyaz, Q., Paheding, S., & Javaid, A. Y. (2022). A Secure Software Engineering Design Framework for Educational Purpose. In 2022 IEEE International Conference on Electro Information Technology (eIT), 2022, pp. 375-381.
  15. Paheding, S., Reyes, A. A., Alam, M., & Asari, V. K. (2022). Medical Image Segmentation Using U-Net and Progressive Neuron Expansion. In Pattern Recognition and Tracking XXXIII (SPIE), 2022.
  16. A. Reyes, A., Vaca, F. D., Castro Aguayo, G. A., Niyaz, Q., & Devabhaktuni, V. (2020). A Machine Learning Based Two-Stage Wi-Fi Network Intrusion Detection System. Electronics, 9(10), 1689.
  17. Reyes, A. A., Elkin, C., Niyaz, Q., Yang, X., Paheding, S., & Devabhaktuni, V. K. (2020). A Preliminary Work on Visualization-Based Education Tool for High School Machine Learning Education. In 2020 IEEE Integrated STEM Education Conference (ISEC), 2020, pp. 1-5.