Recent Publications


2017

  • Philip Saponaro, Wayne Treible, Abhishek Kolagunda, Stephen Rhein, Jeffrey Caplan, Chandra Kambhamettu, Randall Wisser. Three-Dimensional Segmentation of Vesicular Networks of Fungal Hyphae in Macroscopic Microscopy Image Stacks. Accepted at the 2017 IEEE International Conference for Image Processing (ICIP)
  • Philip Saponaro, Wayne Treible, Abhishek Kolagunda, Timothy Chaya, Jeffrey Caplan, Chandra Kambhamettu, Randall Wisser. DeepXScope: Segmenting Microscopy Images with a Deep Neural Network. Accepted at the 2017 Workshop of Computer Vision for Microscopy Image Analysis (CVMI)
  • Brian Phelan, Kenneth Ranney, Marc Ressler, John Clark, Kelly Sherbondy, Getachew Kirose, Arthur Harrison, Daniel Galanos, Philip Saponaro, Wayne Treible, Ram Narayanan; System upgrades and performance evaluation of the spectrally agile, frequency incrementing reconfigurable (SAFIRE) radar system. Proceedings of SPIE (SPIE)
  • Scott Sorensen, Wayne Treible, Leighanne Hsu, Xiaolong Wang, Andrew R. Mahoney, Daniel P. Zitterbart, and Chandra Kambhamettu. Deep Learning for Polar Bear Detection. Accepted at the 2017 Scandinavian Conference on Image Analysis (SCIA)
  • Wayne Treible, Philip Saponaro, Scott Sorensen, Abhishek Kolagunda, Michael O'Neal, Brian Phelan, Kelly Sherbondy, Chandra Kambhamettu. CATS: A Color and Thermal Stereo Benchmark. Accepted at 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
  • Scott Sorensen, Abhishek Kolagunda, Andrew R. Mahoney, Daniel P. Zitterbart, Chandra Kambhamettu. A Virtual Reality Framework for Multimodal Imagery for Vessels in Polar Regions. 23rd International Conference on Multimedia Modeling (MMM)

2016

  • Guoyu Lu, Li Ren, Abhishek Kolagunda, Xiaolong Wang, Ismail Turkbey, Peter Choyke, Chandra Kambhamettu. Representing 3D Shapes based on Implicit Surface Functions Learned From RBF Neural Networks. Journal of Visual Communication and Image Representation
  • Xiaolong Wang, Guodong Guo, Michele Merler, Noel C. F. Codella, Rohith MV, John R. Smith, Chandra Kambhamettu, Leveraging Multiple Cues for Recognizing Family Photos, Image and Vision Computing (IVC). (Special issue on "The Best of Face and Gesture").
  • Minker, K. R., Biedrzycki, M. L., Kolagunda, A., Rhein, S., Perina, F. J., Jacobs, S. S., Moore, M., Jamann, T. M., Yang, Q., Nelson, R., Balint-Kurti, P., Kambhamettu, C., Wisser, R. J. and Caplan, J. L. (2016), Semiautomated confocal imaging of fungal pathogenesis on plants: Microscopic analysis of macroscopic specimens. Microsc. Res. Tech.. doi:10.1002/jemt.22709

Our Team


The VIMS Lab is home to Postdocs, Doctoral Students, and Masters Students who participate in a wide variety of
research topics relating to Computer Vision and Image Processing.

Dr. Chandra Kambhamettu

Director & Research Advisor

Dr. Philip Saponaro

Postdoctoral Fellow

Research Interests: Multimodal Stereo Vision; Augmented and Virtual Reality; Machine Learning

Wayne Treible

PhD Student

Research Interests: Machine Learning; Multimodal Stereo Vision; Remote Sensing; Augmented and Virtual Reality

Abhishek Kolagunda

PhD Student

Research Interests: Shape Reconstruction, Modeling, and Registration; Biomedical Image Analysis; Machine Learning

Zhenzhu Zheng

PhD Student

Leighanne Hsu

PhD Student

Jiefu Li

PhD Student

Jake Papineau

Masters Student