Publications


2018


2017


Journal Papers

  • Guoyu Lu, Liqiang Nie, Scott Sorensen, and Chandra Kambhamettu, Large-scale Tracking for Images with Few Textures, Special Issue on Large-scale Multimedia Data Retrieval, Classification, and Understanding in IEEE Transactions on Multimedia
  • Pengyuan Li, Xiangying Jiang, Chandra Kambhamettu and Hagit Shatkay, Compound Image Segmentation of Published Biomedical Figures, Bioinformatics journal.
  • Guoyu Lu, Yan Yan, Nicu Sebe, Chandra Kambhamettu, Indoor Localization via Multi-View Images and Videos, Computer Vision and Image Understanding, accepted 2017.

Conference Papers

  • Abhishek Kolagunda, Scott Sorensen, Philip Saponaro, Wayne Treible, Kelly Sherbondy, Chandra Kambhamettu, "Fuzzy Correspondences For Robust Shape Registration", IEEE International Conference on 3D Vision (3DV), 2017.
  • X. Wang, R.Lee, Y. Zhou, C.Kambhamettu, "A Study of Convolutional Sparse Feature Learning for Human Age Estimation", IEEE International Conf. on Automatic Face and Gesture Recognition (FG), 2017.
  • Guoyu Lu, Li Ren, Jeffrey Caplan, Chandra Kambhamettu, STROMULE BRANCH TIP DETECTION BASED ON ACCURATE CELL IMAGE SEGMENTATION, 2017 IEEE International Conference for Image Processing (ICIP).
  • Pengyuan Li, Xiangying Jiang, Chandra Kambhamettu and Hagit Shatkay. Segmenting Compound Biomedical Figures into Their Constituent Panels, CLEF 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. 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. 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. Proc. SPIE 10188, Radar Sensor Technology XXI, 1018812 (May 11, 2017); doi:10.1117/12.2266217.
  • Scott Sorensen, Wayne Treible, Leighanne Hsu, Xiaolong Wang, Andrew R. Mahoney, Daniel P. Zitterbart, and Chandra Kambhamettu. Deep Learning for Polar Bear Detection. 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. 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


Journal Papers

  • Guoyu Lu, Li Ren, Abhishek Kolagunda, Xiaolong Wang, Ismail Turkbey, Peter Choyke, Chandra Kambhamettu. [[http://ac.els-cdn.com/S1047320316301730/1-s2.0-S1047320316301730-main.pdf?_tid=89c6b15c-914b-11e6-9574-00000aacb35f&acdnat=1476366610_454acb2a893df1e3b05588b421e6ab23 | 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), [[http://onlinelibrary.wiley.com/doi/10.1002/jemt.22709/pdf | Semiautomated confocal imaging of fungal pathogenesis on plants: Microscopic analysis of macroscopic specimens]]. Microsc. Res. Tech.. doi:10.1002/jemt.22709

Conference Papers

  • Abhishek Kolagunda, Randall Wisser, Timothy Chaya, Jeffrey Caplan and Chandra Kambhamettu. Detection of Fungal Spores in 3D Microscopy Images of Macroscopic Areas of Host Tissue. IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2016.
  • Scott Sorensen, Wayne Treible, Chandra Kambhamettu. Surface Stereo for Shallow Underwater Scenes. Accepted at 2nd Workshop on Computer Vision for Analysis of Underwater Imagery (CVAUI 2016) at ICPR 2016
  • Scott Sorensen, Zachary S. Ladin, Chandra Kambhamettu. 2016. Rapid Development of Scientific Virtual Reality Applications. 45th Annual IEEE Applied Imagery Pattern Recognition (AIRP) Conference on Imaging and Artificial Intelligence: Intersection and Synergy Washington DC (Best Student Paper Award)
  • S. Mathews, C. Kambhamettu, K. Barner "Maximum Correntropy based Dictionary Learning framework for physical activity recognition using wearable sensors "Accepted at ISVC 2016(Oral Presentation)

Displaying 20/226 publications. Full Listing Here

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