Our Projects


There are many ongoing and supported research projects in the VIMS lab. Currently, work is being done in the following research areas:
Stereo Vision, Machine Learning, Image Processing, Virtual Reality, Data Mining, Biomedical Image Analysis, and more.

Check our older projects here!

Publications


2021


Conference Papers

  • Venkanna Sheshappanavar, Shivanand, and Chandra Kambhamettu. "Dynamic Local Geometry Capture in 3D Point Cloud Classification." Proceedings of the IEEE 4th International Conference on Multimedia Information Processing and Retrieval (IEEE MIPR 2021).

2020


Journal Papers

  • S Sorensen, V Veerendraveer, W Treible, AR Mahoney, C Kambhamettu. The polar sea ice topography reconstruction system. Annals of Glaciology, 1-12, 2020.
  • Richard R Suminski, Gregory M Dominick, Philip Saponaro, Elizabeth M Orsega-Smith, Eric Plautz, Matthew Saponaro. High-Tech Video Capture and Analysis for Counting Park Users. Journal for the Measurement of Physical Behaviour 1 (aop), 1-10, 2020.
  • K Huang, F Demirci, M Batish, W Treible, BC Meyers, JL Caplan. Quantitative, super-resolution localization of small RNAs with sRNA-PAINT. Nucleic Acids Research 48 (16), e96-e96, 2020.

Conference Papers

  • Y. Liu, A. Nedo, K. Seward, J. Caplan and C. Kambhamettu, "Quantifying Actin Filaments in Microscopic Images using Keypoint Detection Techniques and A Fast Marching Algorithm," 2020 IEEE International Conference on Image Processing (ICIP), Abu Dhabi, United Arab Emirates, 2020, pp. 2506-2510, doi: 10.1109/ICIP40778.2020.9191337.
  • Venkanna Sheshappanavar, Shivanand, and Chandra Kambhamettu. "A Novel Local Geometry Capture in PointNet++ for 3D Classification." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops. 2020.
  • Singh, Vinit Veerendraveer and Chandra Kambhamettu. "Feature Map Retargeting to Classify Biomedical Journal Figures." International Symposium on Visual Computing. Springer, 2020.

2019


Conference Papers

  • Singh, Vinit Veerendraveer, Scott Sorensen, and Chandra Kambhamettu. "cPSITRES: A collaborative system for analysis of Big Data on sea ice." 2019 IEEE International Conference on Big Data (Big Data). IEEE, 2019.
  • W. Treible*, P. Saponaro*, Y. Lui, A. Das Gupta, V. Veerendraveer, S. Sorensen, C. Kambhamettu. CATS 2: Color And Thermal Stereo Scenes with Semantic Labels. Vision for All Seasons: Bad Weather and Nighttime (CVPRW) 2019. *Equal Contribution.
  • P. Saponaro, H. Wei, G. Dominick, C. Kambhamettu. Estimating Physical Activity Intensity and Energy Expenditure using Computer Vision on Videos. IEEE International Conference on Image Processing (ICIP) 2019.
  • W. Treible, P. Saponaro, C. Kambhamettu. WILDCAT Compare: In-the-Wild Color-And-Thermal Patch Comparison with Deep Residual Pseudo-Siamese Network. IEEE International Conference on Image Processing (ICIP) 2019.
  • R. Suminski, G. Dominick, P. Saponaro, E. Plautz, F. Patterson. Advancing the SOPARC Method through Video Analysis. Active Living Research Conference 2019.
  • Y. Liu, A. Kolagunda, W. Treible, A. Nedo, J. Caplan and C. Kambhamettu, "Intersection to Overpass: Instance Segmentation on Filamentous Structures With an Orientation-Aware Neural Network and Terminus Pairing Algorithm," 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Long Beach, CA, USA, 2019, pp. 125-133, doi: 10.1109/CVPRW.2019.00021.

2018


Conference Papers

  • P. Saponaro, W. Treible, B. Phelan, K. Sherbondy, C. Kambhamettu. Sensor fusion and augmented reality with the SAFIRE system. 2018, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXIX - Proceedings. SPIE 2018.
  • Y. Liu , W. Treible, , A. Kolagunda, A. Nedo, P. Saponaro , J. Kaplan, C. Kambhamettu. Densely Connected Stacked U-network for Filament Segmentation in Microscopy Images. IEEE 2018 European Conference on Computer Vision Workshop, Bioimaging Computing, BIC 2018.
  • A. Kolagunda, S. Sorensen, P. Saponaro, W. Treible, S. Mehralivand, B. Turkbey, P. Pinto, P. Choyke, C. Kambhamettu. A Mixed Reality Guidance System For Robot Assisted Laparoscopic Radical Prostatectomy. 7th MICCAI 2018 Workshop on Clinical Image-based Procedures: Translational Research in Medical Imaging, CLIP 2018.

Displaying 16/242 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, Machine/Deep Learning, and Image Processing.

Hi, I am Dr. Chandra Kambhamettu! I am the Director & Research Advisor of VIMS Lab.

Dr. Chandra Kambhamettu

Director & Research Advisor

Hi, I am Dr. Philip Saponaro! I am a Associate Scientist at the VIMS Lab. My research interests lie in Multimodal Stereo Vision, Augmented and Virtual Reality, and Machine Learning.

Dr. Philip Saponaro

Associate Scientist

Hi, I am Wayne Treible! I am a Ph.D. Student at the VIMS Lab. My research interests lie in Machine Learning, Multimodal Stereo Vision, Remote Sensing, and Augmented and Virtual Reality.

Wayne Treible

Ph.D. Student

Hi, I am Yi Liu! I am a Ph.D. Student at the VIMS Lab. My research interests lie in Machine Learning and Biomedical Image Analysis.
Personal Website

Yi Liu

Ph.D. Student

Hi, I am Ali Khoshsirat! I am a Ph.D. Student at the VIMS Lab. My research interests lie in Deep Learning, Semantic Segmentation, Convolutional Networks, and Machine Learning.
Personal Website

Ali Khoshsirat

Ph.D. Student

Hi, I am Lauren Olson! I am a Ph.D. Student at the VIMS Lab. My research interests lie in Computer Vision, Natural Language Processing, and Accessibility.
Personal Website

Lauren Olson

Ph.D. Student

Hi, I am Shivanand Sheshappanavar! I am a Ph.D. Student at the VIMS Lab. My research interests lie in Point Clouds, Geometry Processing, and Deep Learning.
Personal Website

Shivanand Sheshappanavar

Ph.D. Student

Hi, I am Vinit V. Singh! I am a Ph.D. Student at the VIMS Lab. My research interests lie in Deep Learning with 2D/3D Toplogies.
Personal Website

Vinit V. Singh

Ph.D. Student

Hi, I am Max Bazik! I am a Ph.D. Student at the VIMS Lab. My research interests lie in Deep Learning, Machine Learning, 3D Understanding, and Classical Computer Vision.

Max Bazik

Ph.D. Student

Hi, I am Ashuta Bhattarai! I am a Ph.D. Student at the VIMS Lab. My research interests lie in Deep learning, Image Classification, Virtual Reality, and Machine Learning.
Contact Email

Ashuta Bhattarai

Ph.D. Student

Hi, I am Kelsey Kaplan! I am a Ph.D. Student at the VIMS Lab. My research interests lie in Sea Ice Motion Analysis, Remote Sensing and Deep Learning.
Personal Website

Kelsey Kaplan

Ph.D. Student

Hi, I am Rohit Venkata Sai Dulam! I am a Ph.D. Student at the VIMS Lab. My research interests lie in Deep Learning and Programmable Intuition.
Contact Email

Rohit Venkata Sai Dulam

Ph.D. Student

Hi, I am Daniel Cortes! I am a Ph.D. Student at the VIMS Lab. My research interests lie in Robotics, Machine Learning for Biomedical Applicationsm, and Annotation Techniques.
Personal Website

Daniel Cortes

Ph.D. Student

Alumni