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2020 Publications

Journals

1. Zhiyuan Xie, Umesh K. Haritashya, Vijayan K. Asari, Brennan W. Young, Michael P. Bishop, Jeffrey S. Kargel, "GlacierNet: A deep learning approach for debris-covered glacier mapping," IEEE Access, April 2020. (IEEE)

2. Md Zahangir Alom, Theus Aspiras, Tarek M. Taha, TJ Bowen, and Vijayan K. Asari, "MitosisNet: End-to-end mitotic cell detection by multi-task learning," IEEE Access, March 2020. (IEEE)

arXiv

3. Nina Varney, Vijayan K. Asari, and Quinn Graehling, "DALES: A Large-scale Aerial LiDAR Data Set for Semantic Segmentation," arXiv.org, Computer Vision and Pattern Recognition, arXiv:2004.11985, pp. 1-10, April 2020. (arXiv)

4. R. Md Zahangir Alom, M M Shaifur Rahman, Mst Shamima Nasrin, Tarek M. Taha, Vijayan K. Asari, "COVID_MTNet: COVID-19 detection with multi-task deep learning approaches," arXiv.org, Image and Video Processing, arXiv:2004.03747, pp. 1-12, April 2020. (arXiv)

5. R. Wes Baldwin, Mohammed Almatrafi, Vijayan Asari, and Keigo Hirakawa, "Event probability mask (EPM) and event denoising convolutional neural network (EDnCNN) for neuromorphic cameras," arXiv.org, Computer Vision and Pattern Recognition, arXiv:2003.08282, pp. 1-13, March 2020. (arXiv)

6. Ming Gong, Liping Yang, Catherine Potts, Vijayan K. Asari, Diane Oyen, Brendt Wohlberg, "TGGLines: A robust topological graph guided line segment detector for low quality binary images," arXiv.org, Computer Vision and Pattern Recognition, arXiv:2002.12428, pp. 1-13, February 2020. (arXiv)

7. R Wes Baldwin, Mohammed Almatrafi, Jason R Kaufman, Vijayan Asari, Keigo Hirakawa, "Inceptive event time-surfaces for object classification using neuromorphic cameras," arXiv.org, Neural and Evolutionary Computing, arXiv:2002.11656, pp. 1-9, February 2020. (arXiv)

Conferences

8. R. Wes Baldwin, Mohammed M. Almatrafi, Vijayan K. Asari, and Keigo Hirakawa, "Event probability mask (EPM) and event denoising convolutional neural network (EDnCNN) for neuromorphic cameras," IEEE International Conference on Computer Vision and Pattern Recognition - CVPR 2020, Seattle, Washington, United States, 14 - 19 June 2020. (CVPR)

9. Ruixu Liu, Ju Shen, He Wang, Chen Chen, Sen-ching Cheung, Vijayan K. Asari, "Attention mechanism exploits temporal contexts: Real-time 3D human pose reconstruction," IEEE International Conference on Computer Vision and Pattern Recognition - CVPR 2020, Seattle, Washington, United States, 14 - 19 June 2020. (CVPR)

10. Nina Varney, Vijayan K. Asari, and Quinn Graehling, "DALES: A large-scale aerial LiDAR data set for semantic segmentation," EARTHVISION 2020: Large Scale Computer Vision for Remote Sensing Imagery (EarthVision 2020) in conjunction with the IEEE International Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle, Washington, United States, 14 June 2020. (EarthVision) (CVPR)

11. Liping Yang, Ming Gong, and Vijayan K. Asari, "Diagram image retrieval and analysis: Challenges and opportunities," DIRA Workshop and Challenge (DIRA 2020) in conjunction with the IEEE International Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle, Washington, United States, 14 June 2020. (DIRA) (CVPR)

12. Md Zahangir Alom, Theus Aspiras, Tarek Taha, and Vijayan K. Asari, "Multi-organ nuclei segmentation with dilated recurrent residual U-Net (DR2U-Net)," AI and Big Data in Cancer: From Innovation to Impact - DATA 2020, Boston, Massachusetts, United States, 15-17 November 2020. (DATA)

13. Dhaval Kadia, Md Zahangir Alom, Vijayan K. Asari, Tam Nguyen, and Runga Burada, "3-dimensional lung segmentation using deep convolutional neural networks," AI and Big Data in Cancer: From Innovation to Impact - DATA 2020, Boston, Massachusetts, United States, 15-17 November 2020. (DATA)

14. Shamima Nasrin, Md Zahangir Alom, Tarek M. Taha, and Vijayan K. Asari, "PColorNet-Seg: Investigating the impact of different color spaces for pathological image Segmentation," SPIE Optical Engineering + Applications: Applications of Machine Learning 2020, San Diego, California, United States, 23-27 August 2020. (SPIE OP)

15. Md Zahangir Alom, Tarek M. Taha, Vijayan K. Asari, "Fast and accurate Magnetic Resonance Image (MRI) reconstruction with NABLA-N network," SPIE Optical Engineering + Applications: Applications of Machine Learning 2020, San Diego, California, United States, 23-27 August 2020. (SPIE OP)

16. Garrett C. Sargent, Ilya Lipkin, Charles Collier, Bradley M. Ratliff, and Vijayan K. Asari, "Using the SOSA STANDARD to make interoperable sensors," SPIE Defense + Security: Unmanned Systems Technology XXII (Session: Open Architecture Systems), Anaheim, California, United States, 26 - 30 April 2020. (SPIE DCS)

17. Garrett C. Sargent, Bradley M. Ratliff, and Vijayan K. Asari, "A guided generative adversarial network strategy for demosaicing integrated microgrid polarimeter imagery," SPIE Defense + Security: Polarization: Measurement, Analysis, and Remote Sensing XIV (Session: Polarization Measurements), Anaheim, California, United States, 26 - 30 April 2020. (SPIE DCS)

18. Sidike Paheding, Md. Zahangir Alom, Chukwurah Somtoo, and Vijayan K. Asari, "Densely connected recurrent U-Net for biomedical image segmentation," SPIE Defense + Security: Pattern Recognition and Tracking XXXI (Session: Biometric Recognition), Anaheim, California, United States, 26 - 30 April 2020. (SPIE DCS)

19. Quinn Graehling, Jonathan Schierl, Theus Aspiras, Vijayan K. Asari, Andre van Rynbach, and David J. Rabb, "Multi-modal data analysis and fusion for robust object detection in 2D/3D sensing," SPIE Defense + Security: Pattern Recognition and Tracking XXXI (Session: Deep Learning), Anaheim, California, United States, 26 - 30 April 2020. (SPIE DCS)

20. Md Zahangir Alom, Theus Aspiras, Mark Vance, Natalie Beeler, TJ Bowen, Gabriela Oprea-Ilies, Eric L. Flenaugh, and Vijayan K. Asari, "Generalization power of deep learning approaches: Learning from the output of classical image processing methods," IEEE International Symposium on Biomedical Imaging ISBI 2020, Iowa City, Iowa, United States, 03-07 April 2020. (IEEE ISBI)

21. Shamima Nasrin, Zahangir Z. Alom, Tarek M. Taha, and Vijayan K. Asari, "PColorNet: investigating the impact of different color spaces for pathological image classification," SPIE Medical Imaging: Digital Pathology, Houston, Texas, United States, 19 - 20 February 2020. (SPIE MI)

22. Md Zahangir Alom, Theus Aspiras, Tarek M. Taha, and Vijayan K. Asari, "Skin cancer segmentation and classification with improved deep convolutional neural network," SPIE Medical Imaging: Imaging Informatics for Healthcare, Research, and Applications , Houston, Texas, United States, 19 - 20 February 2020. (SPIE MI)

23. Ruixu Liu, Theus Aspiras, and Vijayan K. Asari, "Deep RAM: Deep neural network architecture for oil/gas pipeline right-of-way automated monitoring," IS&T International Symposium on Electronic Imaging: Imaging and Multimedia Analytics in a Web and Mobile World, Burlingame, California, USA, 26-30 January 2020. (EI 2020)

Abstracts

24. Nina Mary Varney and Vijayan K. Asari, "DALES: A Large-scale Aerial LiDAR Data Set for Semantic Segmentation," Proceedings of the Brother Joseph W Stander Symposium 2020, University of Dayton, Dayton, OH, USA, 22 April 2020.

25. Zhiyuan Xie, Umesh K Haritashya, and Vijayan K. Asari, "Mapping both accumulation and ablation zone of the glacier using deep-learning," Proceedings of the Brother Joseph W Stander Symposium 2020, University of Dayton, Dayton, OH, USA, 22 April 2020.

26. Quinn Graehling and Vijayan K. Asari, "Comparative Study of Region Localization Methods with Image Enhancement for Computer Vision," Proceedings of the Brother Joseph W Stander Symposium 2020, University of Dayton, Dayton, OH, USA, 22 April 2020.

27. Dhaval Dilip Kadia, Van Tam Nguyen, and Vijayan K. Asari, "UNet-based Deep Neural Network for 3D Lung Segmentation," Proceedings of the Brother Joseph W Stander Symposium 2020, University of Dayton, Dayton, OH, USA, 22 April 2020.

28. Quinn Graehling, Jonathan Paul Schierl, Theus H Aspiras, and Vijayan K. Asari, "Multi-modal Data Analysis and Fusion for Robust Object Detection in 2D/3D Sensing," Proceedings of the Brother Joseph W Stander Symposium 2020, University of Dayton, Dayton, OH, USA, 22 April 2020.

29. Rachel Rajan, Theus H Aspiras, and Vijayan K. Asari, "Semi Supervised Learning for Accurate Segmentation of Roughly Labeled Pathological Data," Proceedings of the Brother Joseph W Stander Symposium 2020, University of Dayton, Dayton, OH, USA, 22 April 2020.
CONTACT

Vision Lab, Dr. Vijayan Asari, Director

Kettering Lab
300 College Park
Dayton, Ohio 45469 - 0232
937-229-1779
Email
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