2024

Conference Papers

  • Ashuta Bhattarai, Jing Jin, Chandra Kambhamettu. Analyzing Adjacent B-Scans to Localize Sickle Cell Retinopathy In OCTs. MICCAI 2024.
  • Bhattarai A, Jin J and Kambhamettu C. Detachable Encoder Transformer for SCR Detection. IOVS 2024:ARVO E-Abstract
  • Seyedalireza Khoshsirat and Chandra Kambhamettu. "Improving Normalization with the James-Stein Estimator", IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024.
  • Sheshappanavar, Shivanand, Tejas Anvekar, Shivanand Kundargi, Yufan Wang, and Chandra Kambhamettu, "A Benchmark Grocery Dataset of Realworld Point Clouds from Single View." In 2024 International Conference on 3D Vision (3DV), IEEE, 2024.

2023

Competitions

  • Seyedalireza Khoshsirat from the VIMS Lab is First on the VizWiz-VQA-Grounding Challenge 2023 leaderboard. Link to the leaderboard.

Journal Papers

  • Seyedalireza Khoshsirat and Chandra Kambhamettu. "A transformer-based neural ODE for dense prediction", Machine Vision and Applications, 2023. Link to the paper.
  • Okorie, A., Kambhamettu, C. & Makrogiannnis, S. Unsupervised learning of probabilistic subspaces for multi-spectral and multi-temporal image-based disaster mapping. Machine Vision and Applications 34, 103 (2023). Link to the paper.

Conference Papers

  • Huining Liang and Chandra Kambhamettu. "Edge-guided Image Inpainting with Transformer", International Symposium on Visual Computing (ISVC), October 2023.
  • Rohit Venkata Sai Dulam and Chandra Kambhamettu. "SODAWideNet - Salient Object Detection with an Attention augmented Wide Encoder Decoder network without ImageNet pre-training", International Symposium on Visual Computing (ISVC), October 2023.
  • Yi Liu, Su Peng, Jeffrey Caplan, and Chandra Kambhamettu, "Pick and Trace: Instance Segmentation for Filamentous Objects with a Recurrent Neural Network", 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI). October 8-12, 2023, Vancouver.
  • Seyedalireza Khoshsirat and Chandra Kambhamettu. "Sentence Attention Blocks for Answer Grounding", Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023.
  • Seyedalireza Khoshsirat and Chandra Kambhamettu. "Empowering Visually Impaired Individuals: A Novel Use of Apple Live Photos and Android Motion Photos", 25th Irish Machine Vision and Image Processing Conference, 2023.
  • Seyedalireza Khoshsirat and Chandra Kambhamettu. "Embedding Attention Blocks for the VizWiz Answer Grounding Challenge", VizWiz Grand Challenge Workshop, 2023.
  • Chandra Kambhamettu, "3DSAINT Representation for 3D Point Clouds", Workshop on Computer Vision for Mixed Reality (CVPRW-CV4MR), 2023.
  • Shivanand Venkanna Sheshappanavar, and Chandra Kambhamettu. "Local Neighborhood Features for 3D Classification", 22nd Scandinavian Conference In Image Analysis (SCIA), Levi (Lapland), Finland, Springer International Publishing, April 2023.
  • Rohit Venkata Sai Dulam, Emily Fedders, Andrew Mahoney, and Chandra Kambhamettu. "ConvSegFormer - A convolution aided SegFormer architecture for detection of discontinuities in wrapped interferometric phase imagery of Sea Ice", 22nd Scandinavian Conference In Image Analysis (SCIA), Levi (Lapland), Finland, Springer International Publishing, April 2023.

2022

Competitions

  • Seyedalireza Khoshsirat from the VIMS Lab is First on the VizWiz-VQA-Grounding Challenge 2022 leaderboard. Link to the leaderboard.
  • Shivanand Venkanna Sheshappanavar from the VIMS Lab is among the top 10 on the real-world objects benchmark ScanObjectNN dataset leaderboard. Link to the leaderboard.

Conference Papers

  • Vinit Veerendraveer Singh and Chandra Kambhamettu. "Classification of Biomedical Journal Images using Retargeting-Based Data Augmentation and Visually Explainable Attention Priors" (BMVC), 2022.
  • Michael Pergeorelis, Maxim Bazik, Philip Saponaro, Joong Kim, and Chandra Kambhamettu. "Synthetic Data for Semantic Segmentation in Underwater Imagery", Global Oceans 2022: Hampton Roads, October 2022.
  • Seyedalireza Khoshsirat and Chandra Kambhamettu. "Semantic Segmentation using Neural Ordinary Differential Equations", International Symposium on Visual Computing (ISVC), October 2022.
  • Ashuta Bhattarai, Chandra Kambhamettu, and Jing Jin. "CUNet: Towards continuous multi-class contour detection for retinal layer segmentation in OCT images", 29th IEEE International Conference on Image Processing (IEEE ICIP), October 2022.
  • Rohit Venkata Sai Dulam, Kelsey Kaplan, and Chandra Kambhamettu. "Deep Learning-based Sea Ice Lead Detection from WorldView and Sentinel SAR Imagery", IAPR Workshop on Pattern Recognition in Remote Sensing (PRRS), August 2022.
  • Kelsey Kaplan and Chandra Kambhamettu. "A Novel Methodology for High-Resolution Sea Ice Motion Estimation", IAPR Workshop on Pattern Recognition in Remote Sensing (PRRS), August 2022.
  • Shivanand Venkanna Sheshappanavar, and Chandra Kambhamettu. "SimpleView++: Neighborhood Views for Point Cloud Classification", Proceedings of the IEEE 5th International Conference on Multimedia Information Processing and Retrieval (MIPR), August 2022.
  • Yi Liu, Jeffrey Caplan, Chandra Kambhamettu, "Extraction and Quantification of Actin Cytoskeleton in Microscopic Images Using a Deep Learning Based Framework and a Curve Clustering Model", 26th International Conference on Pattern Recognition (ICPR), 2022
  • Singh, Vinit Veerendraveer and Chandra Kambhamettu. "AIM: an Auto-Augmenter for Images and Meshes". 2022 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
  • Jin J, Bhattarai A, Miller R, Kolb EA and Kambhamettu C. A deep learning system for sickle cell retinopathy detection using retinal OCT images from children with sickle cell disease. IOVS 2022:ARVO E-Abstract

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 (Oral)
  • 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

Journal Papers

  • Mehralivand S, Kolagunda A, Hammerich K, Sabarwal V, Harmon S, Sanford T, Gold S, Hale G, Romero VV, Bloom J, Merino MJ, Wood BJ, Kambhamettu C, Choyke PL, Pinto PA, Türkbey B. A multiparametric magnetic resonance imaging-based virtual reality surgical navigation tool for robotic-assisted radical prostatectomy. Turk J Urol. 2019 Sep 1;45(5):357-365. doi: 10.5152/tud.2019.19133. PMID: 31509508; PMCID: PMC6739087.

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.

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). *Equal Contribution.
  • 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. 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

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)
  • Guoyu Lu, Li Ren, Abhishek Kolagunda, Chandra Kambhamettu. Neural Network Shape: Organ Shape Representation With Radial Basis Function Neural Networks, 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (NSF travel grant) 2016
  • Guoyu Lu, Yan Yan, Abhishek Kolagunda, Chandra Kambhamettu. A Fast 3D Indoor-localization Approach Based on Video Queries. 22nd International Conference on Multimedia Modeling (MMM) (oral)
  • Pengyuan Li, Scott Sorensen, Abhishek Kolagunda, Xiangying Jiang, Xiaolong Wang, Chandra Kambhamettu. UDEL CIS Working Notes in ImageCLEF 2016. Accepted at CLEF 2016.

2015

Journal Papers

Conference Papers

2014

Journal Papers

Conference Papers

2013

Journal Papers

Conference Papers

2012

Journal Papers

Conference Papers

2011

Journal Papers

Conference Papers

2010

Conference Papers

2009

Conference Papers

Journal Papers

  • Yuanjie Zheng, Stephen Lin, Chandra Kambhamettu, Jingyi Yu, Sing Bing Kang, "Single-Image Vignetting Correction", IEEE Transactions on Pattern Analysis and Machine Intelligence, 2009.

2008

Conference Papers

Journal Papers

Book Chapters

2007

Conference Papers

Journal Papers

Book Chapters

2006

Conference Papers

Journal Papers

Book Chapters

2005

Conference Papers

Journal Papers

2004

Conference Papers

Journal Papers

2003

Conference Papers

Journal Papers

2002

Conference Papers

Journal Papers

Book Chapters

2001

Conference Papers

Journal Papers

2000

Conference Papers

1999

Conference Papers

Journal Papers

1998

Conference Papers

Journal Papers

Book Chapters

  • Chandra Kambhamettu and Dmitry B. Goldgof, "Curvature-based Approach to Point Correspondence Recovery in Conformal Nonrigid Motion", Computer Vision, Graphics and Image Processing: Image Understanding, Vol. 60, No. 1, pp. 26-43, July 1994, also re-printed in "Deformable Models in Medical Image Analysis", edited by Ajit Singh, Dmitry Goldgof and Demetri Terzopoulos, pp. 326-343, 1998.
  • Chandra Kambhamettu, Dmitry B. Goldgof, Demetri Terzopoulos and Thomas S. Huang, "Nonrigid Motion Analysis", Handbook of PRIP: Computer vision (edited by Tzay Young), Vol 2, pp. 405-430, Academic Press, San Diego, CA 1994, also re-printed in "Deformable Models in Medical Image Analysis", edited by Ajit Singh, Dmitry Goldgof and Demetri Terzopoulos, pp. 270-284, 1998.
  • Matthew He and Chandra Kambhamettu, "Approximation to Small Deformation of Surfaces and Its Application", Approximation Theory IX, pp. 105-112, Nashville, TN, Jan 3-6, 1998.

1997

Book Chapters

1996

Conference Papers

1995

Conference Papers

1994

Conference Papers

Journal Papers

1993

Conference Papers

Journal Papers

1992

Conference Papers

1991

Conference Papers

  • Chandra Kambhamettu and Dmitry B. Goldgof, "Towards Finding Point Correspondences in Nonrigid Motion", The 7'th Scandinavian Conference on Image Analysis (SCIA1991), pp. 1126-1133, 1991.

1990

Conference Papers