2022 Publications
Journals
1. Ivan Sudakow, Vijayan K. Asari, Ruixu Liu, and Denis Demchev, "MeltPondNet: A Swin Transformer Unet for detection of melt ponds on Arctic sea ice," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, October 2022. (IEEE AEORS)
2. Zhiyuan Xie, Umesh K Haritashya, Vijayan K. Asari, Michael P. Bishop, Jeffrey S. Kargel, and Theus H. Aspiras, "GlacierNet2: A hybrid multi-model learning architecture for alpine glacier mapping," International Journal of Applied Earth Observation and Geoinformation, doi.org/10.1016/j.jag.2022.102921, vol. 112, Article 102921, pp. 1-20, August 2022. (Elsevier)
3. Nina Singer and Vijayan K. Asari, "Pyramid Point: A multi-level focusing network for revisiting feature layers," IEEE Geoscience and Remote Sensing Letters, July 2022. (IEEE GRSL)
4. Zhiyuan Xie, Umesh K. Haritashya, and Vijayan K. Asari, "A progressive learning strategy for large-scale glacier mapping," IEEE Access, doi: 10.1109/ACCESS.2022.3188795, pp. 1-14, July 2022. (IEEE) (PDF)
5. Nina Singer and Vijayan K. Asari, "View-agnostic point cloud generation for occlusion reduction in aerial lidar" Remote Sensing, doi.org/10.3390/rs14132955, vol. 14, no. 13: 2955, pp. 1-26, June 2022. (Abstract) (Article) (PDF)
6. R. Wes Baldwin, Ruixu Liu, Mohammed Almatrafi, Vijayan K. Asari, and Keigo Hirakawa, "Time-Ordered Recent Event (TORE) Volumes for Event Cameras," IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), doi: 10.1109/TPAMI.2022.3172212, pp. 1-14, May 2022. (TPAMI)
7. Md Zahangir Alom, Vijayan K. Asari, Anil Parwani, and Tarek M. Taha, "Microscopic nuclei classification, segmentation, and detection with improved deep convolutional neural networks (DCNN)," Journal of Diagnostic Pathology, doi.org/10.1186/s13000-022-01189-5, vol. 17, no. 38, pp. 1-17,April 2022. (Springer Nature)
8. Wei-Chih Chern, Tam V. Nguyen, Vijayan K. Asari, and Hongjo Kim, "Impact of Loss Functions on Semantic Segmentation in Far-field Monitoring," International Journal of Computer-Aided Civil and Infrastructure Engineering, doi.org/10.1111/mice.12832, March 2022. (Wiley)
9. Vijendra Singh, Vijayan K Asari, and Rajkumar Rajasekaran, "A deep neural network for early detection and prediction of chronic kidney disease," Journal of Diagnostics, vol. 12, no. 1, pp. 116-137, January 2022. (MDPI diagnostics)
10. Ruixu Liu and Vijayan K. Asari, "Cascaded semi-supervised annotation tool for image data labeling ," International Journal of Acta Scientific Computer Sciences, vol. 4, no. 1, pp. 10-15, January 2022. (PDF)
11. Vijendra Singh and Vijayan K. Asari, "Editorial: Computational Intelligence in Data Science," International Journal of Computational Science and Engineering: Special Issue on Computational Intelligence in Data Science, vol. 25, no. 2, pp. 105-107, 2022. (InderScience)
Edited Book
12. Vijayan K Asari, Vijendra Singh, Rajkumar Rajasekaran, and R B Patel (Editors), Computational Methods and Data Engineering (Proceedings of ICCMDE 2021), Book Series: Lecture Notes on Data Engineering and Communications Technologies, Springer, vol. 1, 2022. (Springer)
arXiv
13. Zhiyuan Xie, Umesh K. Haritashya, Vijayan K. Asari, Michael P. Bishop, Jeffrey S. Kargel, and Theus H. Aspiras, "GlacierNet2: A Hybrid Multi-Model Learning Architecture for Alpine Glacier Mapping," arXiv.org, Image and Video Processing; arXiv:2204.05818, pp. 1-44, April 2022. (arXiv)
SSRN
14. Dhaval Kadia, Tam V. Nguyen, and Vijayan Asari, "Lesion Synthesis for Robust Segmentation of Infected Lung Region on Small-Scale Data," SSRN, doi:10.2139/ssrn.4029426, pp. 1-24, March 2022. (SSRN)
Conferences
15. Wei-Chih Chern, Tam V. Nguyen, Vijayan K. Asari, and Hongjo Kim, "Weakly supervised pseudo label generation for construction vehicle segmentation," International Symposium on Automation and Robotics in Construction (ISARC 2022), organized by the International Association for Automation and Robotics in Construction (IAARC), Bogotá, Colombia, 13 - 15 July 2022. (ISARC)
16. Nina M. Singer, Vijayan K. Asari, Theus Aspiras, and Jonathan Schierl, "Automated point cloud completion for occlusion reduction in aerial lidar," SPIE Defense + Commercial Sensing: Geospatial Informatics XII, Session: Non-Traditional Remote Sensing I, Orlando, Florida, United States, 03-07 April 2022. (SPIE DCS)
17. Jonathan Schierl, Vijayan Asari, Nina Singer, Theus Aspiras, Andrew Stokes, Brett Keaffaber, Andre Van Rynbach, Kevin Decker, and David Rabb, "An automatic multimodal data registration system for 2D and 3D information fusion," SPIE Defense + Commercial Sensing: Multimodal Image Exploitation and Learning 2022, Session: Multi-modal Image Processing Characterizing Issues, Orlando, Florida, United States, 03-07 April 2022. (SPIE DCS)
18. Garrett D. Fitzgerald, Vijayan Asari, and Ruixu Liu, "Geosynchronous satellite detection and tracking with WFOV camera arrays using spatiotemporal neural networks (GEO-SPANN)," SPIE Defense + Commercial Sensing: Pattern Recognition and Tracking XXXIII, Session: Image Quality and Tracking Techniques, Orlando, Florida, United States, 03-07 April 2022. (SPIE DCS)
19. Theus H. Aspiras, Vijayan K. Asari, Nina Singer, Jonathan Schierl, Andy Stokes, Brett Keaffaber, Andre Van Rynbach, Kevin Decker, and David Rabb, "Towards a deep-learning aided point cloud labeling suite," SPIE Defense + Commercial Sensing: Pattern Recognition and Tracking XXXIII, Session: Deep Neural Learning Based Recognition, Orlando, Florida, United States, 03-07 April 2022. (SPIE DCS)
20. Ruixu Liu, Theus Aspiras, and Vijayan K. Asari, "Deep neural machine for multimodal information fusion," SPIE Defense + Commercial Sensing: Pattern Recognition and Tracking XXXIII, Session: Trends in Pattern Recognition, Orlando, Florida, United States, 03-07 April 2022. (SPIE DCS)
21. Theus H. Aspiras, Ruixu Liu, Jonathan Schierl, and Vijayan K. Asari, "Learning classical image registration features using a deep learning architecture," SPIE Defense + Commercial Sensing: Pattern Recognition and Tracking XXXIII, Session: Trends in Pattern Recognition, Orlando, Florida, United States, 03-07 April 2022. (SPIE DCS)
22. Ruixu Liu, Theus Aspiras, and Vijayan K. Asari, "Learning spatiotemporal attention for multi-object tracking and re-identification in wide area motion imagery," SPIE Defense + Commercial Sensing: Pattern Recognition and Tracking XXXIII, Session: Trends in Pattern Recognition, Orlando, Florida, United States, 03-07 April 2022. (SPIE DCS)
23. Aqsa Sultana, Vijayan K. Asari, and Theus Aspiras, "Residues in succession U-net for fast and efficient segmentation," SPIE Defense + Commercial Sensing: Pattern Recognition and Tracking XXXIII, Session: Artificial Intelligence Based Tracking, Orlando, Florida, United States, 03-07 April 2022. (SPIE DCS)
24. Sidike Paheding, Abel R. Angulo, Mohammad Alam, and Vijayan K. Asari, "Medical image segmentation using U-Net and progressive neuron expansion," SPIE Defense + Commercial Sensing: Pattern Recognition and Tracking XXXIII, Session: Image Quality and Tracking Techniques, Orlando, Florida, United States, 03-07 April 2022. (Invited Paper) (SPIE DCS)
Data Sets
25. Ivan Sudakow, Vijayan Asari, Ruixu Liu, and Denis Demchev, "Melt pond from aerial photographs of the Healy–Oden Trans Arctic Expedition (HOTRAX)," June 2022 (zenodo)