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

  • Singh, Vinit Veerendraveer, Venkanna Sheshappanavar, Shivanand, and Chandra Kambhamettu. "MeshNet++: A Network with a Face". Proceedings of the 29th ACM International Conference on Multimedia. 2021., 1-9
  • Venkanna Sheshappanavar, Shivanand, Singh, Vinit Veerendraveer, and Chandra Kambhamettu. "PatchAugment: Local Neighborhood Augmentation in Point Cloud Classification" Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops. 2021.
  • Olson, Lauren, Chandra Kambhamettu, and Kathleen McCoy. "Towards Using Live Photos to Mitigate Image Quality Issues In VQA Photography." The 23rd International ACM SIGACCESS Conference on Computers and Accessibility. 2021.
  • Singh, Vinit Veerendraveer, Venkanna Sheshappanavar, Shivanand, and Chandra Kambhamettu. "Dilated Mesh Convolutions." 2021 IEEE International Conference on Image Processing (ICIP), Anchorage, Alaska, USA, 19-22 September 2021.
  • 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, September 2021.
  • Olson, Lauren, Chandra Kambhamettu, and Kathleen McCoy. "Live Photos: Mitigating the Impacts of Low-Quality Images in VQA." VizWiz workshop CVPR. 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 21/247 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