2021 Publications
Journals
1. Zhiyuan Xie, Vijayan K. Asari, and Umesh K. Haritashya, "Evaluating deep-learning models for debris-covered glacier mapping," Journal of Applied Computing and Geosciences, vol. 12, no. 100071, pp. 1-17, doi.org/10.1016/j.acags.2021.10007, December 2021. (Elsevier)
2. Sanoar Hossain, Saiyed Umer, Vijayan K. Asari, Ranjeet Kumar Rout, "A unified framework of deep learning based facial expression recognition system for diversified applications," Journal of Applied Sciences: Computing and Artificial Intelligence, Special Issue on Research on Facial Expression Recognition, vol. 11, no. 9174, pp. 1-26, doi.org/10.3390/app11199174, September 2021. (Article MDPI)
3. Nina Singer and Vijayan K. Asari, "DALES Objects: A large scale benchmark dataset for instance segmentation in aerial lidar," vol. 9, pp. 97495 - 97504, doi: 10.1109/ACCESS.2021.3094127, IEEE Access, June 2021. (IEEE)
4. Dhaval Kadia, Md. Zahangir Alom, Ranga Burada, Tam V. Nguyen, and Vijayan K. Asari, "R2U3D: Recurrent Residual 3D U-Net for Lung Segmentation," IEEE Access, vol. 9, pp.
5. Ruixu Liu, Ju Shen, He Wang, Chen Chen, Sen-Ching Cheung, and Vijayan K. Asari, "Enhanced 3D human pose estimation from videos by using attention-based neural network with dilated convolutions," International Journal of Computer Vision, vol. 129, no. 5, pp. 1596-1615, doi.org/10.1007/s11263-021-01436-0, February 2021. (Springer) (PDF)
6. Md Zahangir Alom, Raj P. Kapur, TJ Bowen, and Vijayan K. Asari, "GanglionNet: Objectively assess the density and distribution of ganglion cells with NABLA-N network," Journal of Informatics in Medicine Unlocked, vol. 23, doi.org/10.1016/j.imu.
7. Md Zahangir Alom, Christopher Yakopcic, Tarek M. Taha, and Vijayan K. Asari, "Inception recurrent convolutional neural network for object recognition," Machine Vision and Applications, vol. 32, no. 28, doi.org/10.1007/s00138-020-01157-3, January 2021. (Springer)
arXiv
8. Dhaval D. Kadia, Md Zahangir Alom, Ranga Burada, Tam V. Nguyen, and Vijayan K. Asari, "R2U3D: Recurrent Residual 3D U-Net for lung segmentation," arXiv.org, Image and Video Processing; arXiv:2105.02290, pp. 1-9, May 2021. (arXiv)
9. R. Wes Baldwin, Ruixu Liu, Mohammed Almatrafi, Vijayan Asari, and Keigo Hirakawa, "Time-Ordered Recent Event (TORE) volumes for event cameras," arXiv.org, Computer Vision and Pattern Recognition; arXiv:2103.06108, pp. 1-14, March 2021. (arXiv)
10. Ruixu Liu, Ju Shen, He Wang, Chen Chen, Sen-ching Cheung, and Vijayan K. Asari, "Enhanced 3D human pose estimation from videos by using attention-based neural network with dilated convolutions," arXiv.org, Computer Vision and Pattern Recognition; arXiv:2103.03170, pp. 1-20, March 2021. (arXiv)
Conferences
11. Ming Gong, Umesh K. Haritashya, Harshit Bhasin, Wei Chih Chern, Vijayan K. Asari, Jeffrey Kargel, Batuhan Osmanoglu, Saurabh Vijay, Ishmohan Bahuguna, Sushil Singh, Scott C. Watson, "Machine/deep learning based surface segmentation of ISRO-ASAR datasets," AGU (The American Geophysical Union: Advancing Earth and Space Science) Fall Meeting - AGU 2021, New Orleans, Louisiana, USA, 13 - 17 December 2021. (AGU)
12. Nina Singer, Vijayan Asari, Theus Aspiras, Jonathan Schierl, Andrew Stokes, Brett Kaeffaber, Andre Van Rynbach, David Rabb, and Kevin Decker, "Attention focused generative network for reducing self-occlusions in aerial LiDAR," IEEE Workshop on Applied Imagery and Pattern Recognition: Artificial Intelligence in Medicine, Healthcare, and Neuroscience - AIPR 2021, Washington DC, USA, 12 - 14 October 2021. (IEEE AIPR)
13. Jonathan Schierl, Vijayan Asari, Nina Singer, Theus Aspiras, Andrew Stokes, Brett Kaeffaber, Andre Van Rynbach, David Rabb, and Kevin Decker, "A feature level multi-sensor information fusion strategy for land region classification," IEEE Workshop on Applied Imagery and Pattern Recognition: Artificial Intelligence in Medicine, Healthcare, and Neuroscience - AIPR 2021, Washington DC, USA, 12 - 14 October 2021. (IEEE AIPR)
14. Aneesh Bhattacharya and Vijayan K. Asari, "Wearable Walking Aid System to Assist Visually Impaired Persons to Navigate Sidewalks," IEEE Workshop on Applied Imagery and Pattern Recognition: Artificial Intelligence in Medicine, Healthcare, and Neuroscience - AIPR 2021, Washington DC, USA, 12 - 14 October 2021. (IEEE AIPR)
15. Ruixu Liu and Vijayan K. Asari, "Automated data annotation methodology for deep-learning based object detection and recognition," IEEE National Aerospace & Electronics Conference (NAECON 2021), Dayton, Ohio, United States, 16 - 19 August 2021. (NAECON 2021)
16. Nina Singer, Vijayan K. Asari, Theus Aspiras, Jonathan Schierl, Andy Stokes, Brett Keaffaber, Andre Van Rynbach, Kevin Decker, and David Rabb, "Viewpoint transformation for reducing self occlusion in aerial lidar," Photogrammetry, 3D Visualization, and Lidar (P3DL) Community of Practice Conference , Online, United States, 09 - 12 August 2021. (P3DL)
17. Theus Aspiras, Vijayan K. Asari, Nina Singer, Jonathan Schierl, Andy Stokes, Brett Keaffaber, Andre Van Rynbach, Kevin Decker, and David Rabb, "Deep learning-based shape-to-selection annotation transfer (SSAT) tool for 3D point cloud annotation," Photogrammetry, 3D Visualization, and Lidar (P3DL) Community of Practice Conference , Online, United States, 09 - 12 August 2021. (P3DL)
18. Garrett Fitzgerald, Zachary Funke, Alexander Cabello, Vijayan Asari, and Justin Fletcher, "Toward deep-space object detection in persistent wide field of view camera arrays," Proceedings of Advanced Maui Optical and Space Surveillance Technologies (AMOS) Conference, Maui, Hawaii, United States, pp. 1-13, 14-17 September 2021. (AMOS)
19. Nina M. Varney, Jonathan Schierl, and Vijayan K. Asari, "LandNet: a 2D-3D fusion network for scene understanding," SPIE Defense + Commercial Sensing: Multimodal Image Exploitation and Learning 2021, Session: Data Registration and Fusion, Orlando, Florida, United States, 11-15 April 2021. (SPIE DCS)
20. Quinn Graehling, Vijayan Asari, and Nina Varney, "Feature extraction aerial registration for large-scale LiDAR point clouds," SPIE Defense + Commercial Sensing: Multimodal Image Exploitation and Learning 2021, Session: Data Registration and Fusion, Orlando, Florida, United States, 11-15 April 2021. (SPIE DCS)
21. Ruixu Liu, Theus H. Aspiras, and Vijayan K. Asari, "Deep neural network based approach for robust aerial surveillance," SPIE Defense + Commercial Sensing: Pattern Recognition and Tracking XXXII, Session: Deep Learning, Orlando, Florida, United States, 11-15 April 2021. (SPIE DCS)
Abstracts
22. Dhaval Dilip Kadia, Van Tam Nguyen, and Vijayan K. Asari, "Lesion Synthesis Algorithm and Multi-Scale U-Net for Lung and Lesion Segmentation," Proceedings of the Brother Joseph W Stander Symposium 2021, University of Dayton, Dayton, OH, USA, 22 April 2021. (Stander 2021).