Publications


2019


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)

Displaying 13/226 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