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

• Guoyu Lu, Yan Yan, Li Ren, Philip Saponaro, Nicu Sebe, Chandra Kambhamettu. Where Am I in the Dark: Exploring Active Transfer Learning on the Use of Indoor Localization based on Thermal Imaging. Journal of Neurocomputing,

Conference Papers

• S. Mathews, C. Kambhamettu, K. Barner. "Am I your sibling?" Inferring kinship cues from facial image pairs. Conference on Information Sciences and Systems CISS 2015 ,Baltimore,Maryland
• Guoyu Lu, Yan Yan. Li Ren, Jingkuan Song, Nicu Sebe, Chandra Kambhamettu, Localize me Anywhere, Anytime: A Multi-task Point-Retrieval Approach. IEEE International Conference on Computer Vision (ICCV) 2015
• Xiaolong Wang, Chandra Kambhamettu. A New Approach for Face Recognition Under Makeup Changes. In 3rd IEEE Global Conference on Signal and Information Processing, GlobalSIP, 2015.
• Xiaolong Wang, Xiangying Jiang, Abhishek Kolagunda, Hagit Shatkay, Chandra Kambhamettu. CIS UDEL Working Notes on ImageCLEF 2015: Compound Figure Detection Task. ImageCLEF, 2015.
• Scott Sorensen, Philip Saponaro, Stephen Rhein and Chandra Kambhamettu. Multimodal Stereo Vision For Reconstruction In The Presence Of Reflection. In Xianghua Xie, Mark W. Jones, and Gary K. L. Tam, editors, Proceedings of the British Machine Vision Conference (BMVC), pages 112.1-112.12. BMVA Press, September 2015.
• Abhishek Kolagunda, Guoyu Lu, Chandra Kambhamettu. Hierarchical Hybrid Shape Representation for Medical Shapes. Accepted at The British Machine Vision Conference, BMVC 2015.
• Scott Sorensen, Abhishek Kolagunda, Philip Saponaro, Chandra Kambhamettu. Refractive Stereo Ray Tracing for Reconstruction Underwater Structures. Accepted at The International Conference on Image Processing, ICIP 2015 (Oral presentation).
• Philip Saponaro, Scott Sorensen, Stephen Rhein, Chandra Kambhamettu. Improving Calibration of Thermal Stereo Cameras Using Heated Calibration Board. Accepted at The International Conference on Image Processing, ICIP 2015 (Oral presentation).
• K. Ma, H. Jeong, R. MV, G. Somanath, R. Tarpine, K, Schutter, D. Blostein, S. Istrail, C. Kambhamettu and H. Shatkay. Utilizing Image-based Features in Biomedical Document Classification. Proc. of the IEEE Int. Conference on Image Processing (ICIP'15). 2015
• Xiaolong Wang, Rui Guo, Chandra Kambhamettu. Deeply-Learned Feature for Age Estimation. 2015 IEEE Winter Conference on Applications of Computer Vision (WACV), 2015
• Philip Saponaro, Scott Sorensen, Abhishek Kolagunda, Stephen Rhein, Chandra Kambhamettu. Material Classification with Thermal Imagery. 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2015
• Xiaolong Wang, Guodong Guo, Rohith MV, Chandra Kambhamettu. Leveraging Geometry and Appearance Cues for Recognizing Family Photos. 2015 IEEE International Conference on Automatic Face and Gesture Recognition. (FG' 15) (oral)
• Xiaolong Wang and Chandra Kambhamettu. Age Estimation via Unsupervised Neural Network. 2015 IEEE International Conference on Automatic Face and Gesture Recognition (FG), 2015

2014

Journal Papers

• Guoyu Lu, Nicu Sebe, Congfu Xu, Chandra Kambhamettu, Memory Efficient large-scale Image-based Localization. Journal of Multimedia Tools and Applications (MTA)

Conference Papers

• Guoyu Lu, Yan Yan, Nicu Sebe, Chandra Kambhamettu, Knowing Where I Am: Exploiting Multi-Task Learning for Mult-view Indoor Image-based Localization. 25th British Machine Vision Conference (BMVC), 2014
• Guoyu Lu, Vincent Ly, Chandra Kambhamettu, Structure-from-Motion Reconstruction Based on Weighted Hamming Descriptors, 24th International Joint Conference on Neural Networks (IJCNN) hosted in IEEE WCCI, 2014
• Philip Saponaro, Scott Sorensen, Stephen Rhein, Andrew R. Mahoney, and Chandra Kambhamettu. Reconstruction of Textureless Regions Using Structure From Motion and Image-Based Interpolation. IEEE International Conference on Image Processing, ICIP, 2014.
• Philip Saponaro, Chandra Kambhamettu. Concealed Target Detection with Fusion of Visible and Infrared. Springer 10th International Symposium on Visual Computing, ISVC, 2014.
• Xiaolong Wang, Vincent Ly, Scott Sorensen, Chandra Kambhamettu. Dog Breed Classification via Landmarks. Accepted at The International Conference on Image Processing, ICIP 2014
• Xiaolong Wang, Chandra Kambhamettu. Leveraging Appearance and Geometry for Kinship Verification. At The International Conference on Image Processing, ICIP 2014
• Guoyu Lu, Yingjie Hu, Chandra Kambhamettu. Weighted SIFT Feature Learning with Hamming Distance for Face Recognition. The 9th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP) 2014.
• Xiaolong Wang, Vincent Ly, Rui Guo, Chandra Kambhamettu. 2D-3D Face Recognition via Restricted Boltzmann Machines. In 9th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISAPP, 2014.

2013

Journal Papers

• Rohith MV, Joshua Jones, Hajo Eicken, and Chandra Kambhamettu. Extracting Quantitative Information on Coastal Ice Dynamics and Ice Hazard Events From Marine Radar Digital Imagery. IEEE Transactions on Geoscience and Remote Sensing, Vol. 51, No. 5, May 2013

Conference Papers

• Rohith MV, Stephen Rhein,Guoyu Lu, Scott Sorensen, Andrew R. Mahoney, Hajo Eicken, G. Carleton Ray, Chandra Kambhamettu. Iterative reconstruction of large scenes using heterogeneous feature tracking. In the first workshop on Big Data Computer Vision, CVPR, 2013.
• Rohith MV, Scott Sorensen, Stephen Rhein, Chandra Kambhamettu. Shape From Stereo and Shading by Gradient Constrained Interpolation. International Conference on Image Processing, ICIP 2013.
• Guoyu Lu, Vincent Ly, Haoquan Shen, Abhishek Kolagunda, Chandra Kambhamettu. Improving Image-Based Localization Through Increasing Correct Feature Correspondences. 9th International Symposium on Visual Computing, 2013.
• Philip Saponaro, Chandra Kambhamettu, Kenneth Ranney, Anders Sullivan. Concealed Target Detection Using Augmented Reality with SIRE Radar. SPIE Defense, Security, and Sensing: Radar Sensor Technology XVII, Baltimore, Maryland, SPIE DSS 2013.
• Guoyu Lu, Vincent Ly, Xiaolong Wang, Rohith MV, Orlando Ayala, Lian-Ping Wang, Chandra Kambhamettu. A Tool for Visualizing Large-Scale Interactions Between Turbulence and Particles in 3D Space through 2D Trajectory Visualization. 9th International Symposium on Visual Computing, 2013.
• Gowri Somanath, Scott Cohen, Brian Price, Chandra Kambhamettu. Stereo+Kinect for High Resolution Stereo Correspondences. In Third Joint 3DIM/3DPVT (3DV) Conference, 2013. Supplementary material
• Philip Saponaro, Chandra Kambhamettu. Towards Auto-calibration of Smart Phones Using Orientation Sensors. In Third IEEE International Workshop on Mobile Vision, CVPRW, 2013.
• Xiaolong Wang, Chandra Kambhamettu. Gender Classification of Depth Images Based on Shape and Texture Analysis. In 1st IEEE Global Conference on Signal and Information Processing, GlobalSIP, 2013.
• Xiaolong Wang, Vincent Ly, Guodong Guo, Chandra Kambhamettu. A New Approach for 2D-3D Heterogeneous Face Recognition. IEEE International Symposium on Multimedia, ISM, 2013.
• Guoyu Lu, Vincent Ly, Chandra Kambhamettu. Large-scale Structure-from-Motion Reconstruction with Small Memory Consumption. The 11th International Conference on Advances in Mobile Computing and Multimedia, 2013.
• Vincent Ly, Chandra Kambhamettu. Mobile Scene Flow Synthesis. In 9th IEEE International Workshop on Multimedia Information Processing and Retrieval, 2013.
• Xiaolong Wang, Vincent Ly, Guoyu Lu, Chandra Kambhamettu. Could We Minimize the Influence Brought by Gender and Race Difference in Age Estimation? In 12th IEEE International Conference on Machine Learning and Applications on Machine Learning with Multimedia Data. ICMLA, 2013.

2012

Journal Papers

• Geiger, C. A., G. Somanath, V. Ly, C. Kambhamettu, M. Thomas, and Pablo Clemente-Colón. Visualizing and Assessing Sea-Ice Motion Below the Continuum Scale, ASF News and Notes, 2012, Fall Volume 8:3.
• Gayathri Mahalingam, and Chandra Kambhamettu. Face verification of age separated images under the influence of internal and external factors. Image and Vision Computing. Volume 30, Issue 12, December 2012, Pages 1052–1061.
• Yuanjie Zheng, Stephen Lin, Sing Bing Kang, Rui Xiao, James C. Gee, and Chandra Kambhamettu. Single-image vignetting correction from gradient distribution symmetries. IEEE Trans. on Pattern Analysis and Machine Intelligence (to appear)
• Rohith MV, Joshua Jones, Hajo Eicken, Chandra Kambhamettu. Automatic vessel tracking and event detection in radar images.IEEE Transactions on Geoscience and Remote Sensing (to appear).
• Rohith MV, Gowri Somanath, Debra Norris, Jennifer Gutierrez, Chandra Kambhamettu. A Camera flash projector based reconstruction system for digital preservation of artifacts, ACM Journal on Computing and Cultural Heritage (JOCCH), Volume 6 Issue 1, March 2013.

Conference Papers

• Gayathri Mahalingam and Chandra Kambhamettu, Face Recognition in Videos - A Graph Based Modified Kernel Discriminant Analysis, 11th Asian Conference on Computer Vision (ACCV), 2012.
• Rohith MV and Chandra Kambhamettu, Application of heterogeneous motion models towards structure recovery from motion, 11th Asian Conference on Computer Vision (ACCV), 2012.
• Rohith MV, Chandra Kambhamettu. Augmenting monocular motion estimation using intermittent 3D models from depth sensors, Accepted for publication, International Conference on Pattern Recognition, 2012.
• Gowri Somanath, Chandra Kambhamettu, Arrangement based image representation for scene recognition, International Conference on Pattern Recognition (ICPR) 2012.
• Gowri Somanath, Chandra Kambhamettu, Can faces verify blood-relations?, Accepted to IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS) 2012.
• H. Shatkay, R. Narayanaswamy, S. Nagaral, N. Harrington, R. Mv, G. Somanath, R. Tarpine, K. Schutter, T. Johnstone, D. Blostein, S. Istrail and C. Kambhamettu. OCR-based Image Features for Biomedical Image and Article Classification: Identifying Documents relevant to Cis-Regulatory Elements. Proc. of the ACM Conf. on Bioinformatics and Computional Biology (BCB). October, 2012. (To appear).

2011

Journal Papers

• L-P. Wang, O. Ayala, H. Parishani, W. W. Grabowski, A. A. Wyszogrodzki, Z. Piotrowski, G. R. Gao, . Kambhamettu, X. Li, L. Rossi, D. Orozco and C. Torres, 2011, Towards an integrated multiscale simulation of turbulent clouds on PetaScale computers, Journal of Physics: Conference Series. Volume 318, 2011.
• Mani Thomas, Chandra Kambhamettu and Cathleen A. Geiger, Motion Tracking of Discontinuous Sea Ice, IEEE Transactions on Geoscience and Remote Sensing, Vol.49, No.12, December 2011.
• Hajo Eicken, Joshua Jones, Rohith MV, Chandra Kambhamettu, F. Meyer, A. R. Mahoney, and M. L. Druckenmiller (2011), Environmental security in Arctic ice-covered seas: From strategy to tactics of hazard identification and emergency response, Marine Technology Society Journal, 45(3), 37-48, 2011.
• Qi Li and Chandra Kambhamettu, Contour Extraction of Drosophila Embryos, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol.8, No.6, November/December 2011.

Conference Papers

• Gayathri Mahalingam, Chandra Kambhamettu, Can Discriminative Cues Aid Face Recognition Across Age?, IEEE International Conference on Automatic Face and Gesture Recognition, 2011.
• Gowri Somanath, Rohith MV, Chandra Kambhamettu, VADANA: A dense dataset for facial image analysis, BeFIT 2011 – First IEEE International Workshop on Benchmarking Facial Image Analysis Technologies (held in conjunction with the ICCV 2011).
• Rohith MV, Hossein Parishani, Orlando Ayala, Lian-Ping Wang, Chandra Kambhamettu. CollisionExplorer: A tool for visualizing droplet collisions in a turbulent flow. International Symposium on Visual Computing (ISVC), 2011.
• Rohith MV, Chandra Kambhamettu. Estimation and utilization of articulations in recovering non-rigid structure from motion using motion subspaces, Joint ACM Workshop on Human Gesture and Behavior Understanding (J-HGBU'11), ACM Multimedia 2011.

2010

Conference Papers

• Gayathri Mahalingam, Chandra Kambhamettu, Face Verification across Age Progression using Adaboost and Local Binary Patterns. Indian Conference on Vision Graphics and Image Processing'10, ACM Digital Library, ISBN: 978-1-4503-0060-5, 2010.
• Gayathri Mahalingam, Chandra Kambhamettu, Face Recognition in Videos Using Adaptive Graph Appearance Models. 6th International Symposium on Visual Computing (ISVC), LNCS, 2010, Vol. 6453/2010, pg. 519-528, DOI: 10.1007/978-3-642-17289-2_50 2010 (oral presentation).
• Gayathri Mahalingam, Chandra Kambhamettu, Video based Face Recognition Using Graph Matching. Asian Conference on Computer Vision, , In LNCS, Vol. 6494/2011, pg. 82-94, DOI: 10.1007/978-3-642-19318-7_7, 2010. (Acceptance rate: 29.5%).
• Gayathri Mahalingam, Chandra Kambhamettu, Age Invariant Face Recognition Using Graph Matching. Biometrics: Theory, Applications and Systems (BTAS), pg. 1-7, 2010 (oral presentation).
• Rohith MV, Chandra Kambhamettu Learning image structures for optimizing disparity estimation. Accepted into ACCV'10 Tenth Asian Conference on Computer Vision 2010. (Acceptance rate: 29.5%)
• Gowri Somanath, Chandra Kambhamettu, Abstraction and Generalization of 3D structure for recognition in large intra-class variation, The 10th Asian Conference on Computer Vision (ACCV), R. Kimmel, R. Klette, and A. Sugimoto (Eds.): ACCV 2010, Part III, LNCS 6494, pp. 483–496, Springer-Verlag Berlin Heidelberg 2011. (Acceptance rate 29.5%)
• Rohith MV, Gowri Somanath, Chandra Kambhamettu, Dave Finnegan. Modified region growing for stereo of slant and textureless surfaces. Accepted into ISVC'2010 - 6th International Symposium on Visual Computing (oral presentation)
• Gowri Somanath, Rohith MV, Chandra Kambhamettu, Single camera stereo system using prism and mirrors. International Symposium on Visual Computing (ISVC), G. Bebis et al. (Eds.): ISVC 2010, Part II, LNCS 6454, pp. 170–181,Springer-Verlag Berlin Heidelberg 2010. (oral presentation)

2009

Conference Papers

• Scott Grauer-Gray, Chandra Kambhamettu. Hierarchical Belief Propagation To Reduce Search Space Using CUDA for Stereo and Motion Estimation. IEEE Computer Society's Workshop on Applications of Computer Vision (WACV) 2009.
• Rohith MV, Gowri Somanath, Debra Norris, Jennifer Gutierrez, Chandra Kambhamettu. A Camera flash based projector system for true scale metric reconstruction. IEEE Computer Society's Workshop on Applications of Computer Vision (WACV) 2009.
• Yuanjie Zheng, Chandra Kambhamettu, Learning Based Digital Matting, ICCV 2009: The 20th IEEE International Conference on Computer Vision. Kyoto, Japan, Sep. 29-Oct. 2, 2009.
• Rohith MV, Gowri Somananth, Chandra Kambhamettu and Cathleen Geiger,Stereo analysis of low textured regions with application towards sea-ice reconstruction, The 2009 International Conference on Image Processing,Computer Vision, and Pattern Recognition (IPCV'09).
• S. Zhang, J. Zhou, X. Wang, S. Chang, D. Metaxas, G. Pappas, F. Delis, N. Volkow,G-J. Wang, P. Thanos, C. Kambhamettu,3D segmentation of rodent brains using deformable models and variational methods,IEEE Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA) 2009.
• Gayathri Mahalingam, Chandra Kambhamettu, Benigno Aguirre, Crowd Motion Analysis from Video, Proceedings of NSF Research Engineering and Innovation Conference 2009.
• Gowri Somanath, Rohith MV, Dmitris Metaxas, Chandra Kambhamettu, D - Clutter: Building object model library from unsupervised segmentation of cluttered scenes, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2009.
• Yuanjie Zheng, Chandra Kambhamettu, Thomas L. Bauer, Karl Steiner, Accurate Estimation of Pulmonary Nodule's Growth Rate in CT Images with Nonrigid Registration and Precise Nodule Detection and Segmentation, Mathematical Methods in Biomedical Image Analysis (MMBIA) 2009
• Yuanjie Zheng, Chandra Kambhamettu, Stephen Lin, Single-Image Optical Center Estimation from Vignetting and Tangential Gradient Symmetry, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2009.

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

• Mani Thomas, Chandra Kambhamettu, Cathleen Geiger, "Vector Field Resampling using Local Streamline Approximation", Proceedings of the 19th International Conference on Pattern Recognition (ICPR), Tampa, Florida, December, 2008.
• Rohith MV, Gowri Somanath, Chandra Kambhamettu, Cathleen Geiger, "Towards estimation of dense disparities from stereo images containing large textureless regions", International Conference on Pattern Recognition (ICPR), 2008.
• Yuanjie Zheng, Chandra Kambhamettu, Thomas Bauer, and Karl Steiner, "Estimation of Ground-Glass Opacity Measurement in CT Lung Images", MICCAI, NY, September 2008.
• Yuanjie Zheng, Jingyi Yu, S. B. Kang, S. Lin, C. Kambhamettu, "Single-Image Vignetting Correction Using Radial Gradient Symmetry", IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2008. (Oral, 4% acceptance rate)
• Yuanjie Zheng, Chandra Kambhamettu, Jingyi Yu, Thomas Bauer and Karl Steiner, "FuzzyMatte: A Computationally Efficient Scheme for Interactive Matting", IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2008.
• Thomas, M., C. Kambhamettu and S. Kumar, "Face Recognition using a Color Subspace LDA approach", Proceedings of the 20th Int. Conf. on Tools with Artificial Intelligence (ICTAI), Dayton, Ohio, November, 2008.
• Thomas, M., C. Kambhamettu, C. A. Geiger, "Mapping of Large Scale Discontinuous Motion of Sea Ice", Ph.D. showcase at the ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM GIS), Irvine, CA, Nov, 2008.
• Scott Grauer-Gray, Chandra Kambhamettu and K. Palaniappan, "Implementation of Belief Propagation on the GPU using CUDA with application towards Cloud Tracking and Reconstruction", 5th IAPR Workshop on Pattern Recognition in Remote Sensing (in conjunction with ICPR), Tampa, Florida, December, 2008.
• Thomas, M., C. A. Geiger, C. Kambhamettu and P. Kannan, "Streamline Regularization for Large Discontinuous Motion of Sea Ice", 5th IAPR Workshop on Pattern Recognition in Remote Sensing (in conjunction with ICPR), Tampa, Florida, December, 2008.
• Mani Thomas, Senthil Kumar, C. Kambhamettu, "Face Recognition using a color PCA framework", International Conference on Computer Vision Systems, 2008.
• Gowri Somanath, Rohith MV, Cathleen Geiger, Chandra Kambhamettu, Reconstruction of snow and ice surfaces using multiple view vision techniques, Proceedings of the 65th Eastern Snow Conference.

Journal Papers

• Shubhra Misra, James Kirby, Maurizio Brocchini, Fabrice Veron, Mani Thomas, and Chandra Kambhamettu, "The mean and turbulent flow structure of a weak hydraulic jump", Physics of Fluids, Vol. 20, Issue 3, 2008.
• J. Hutchings, C. Geiger, J. Richter-Menge, M. Doble, R. Forsberg, K. Giles, C. Haas, S. Hendricks, C. Khambhamettu, S. Laxon, T. Martin, M. Pruis, M. Thomas, P. Wadhams, H. J. Zwally, "Role of Ice Dynamics in the Sea Ice Mass Balance", EOS, 89, 50, 515-516, 2008.
• Thitwan Srinark and Chandra Kambhamettu, "An image analysis suite for spot detection and spot matching in two-dimensional electrophoresis gels", Electrophoresis, Accepted on August 31, 2007. (Impact Factor, 2006 = 4.106).
• Q. Li, J. Ye, and C. Kambhamettu, "Interest Point Detection Using Imbalance Oriented Selection", Pattern Recognition, Vol. 41, No. 2, Pages 672-688, 2008.
• Qi Li, Jieping Ye, Min Li, and Chandra Kambhamettu, "Adaptive appearance based face recognition", International Journal on Artificial Tools (IJAIT), Vol. 17, No. 1, Pages 175-193, 2008.
• Qi Li, Chandra Kambhamettu and Jieping Ye. "Identity Representability of Facial Expressions: An Evaluation Using Feature Pixel Distributions". Neurocomputing, Vol. 71, No.10-12, Pages 1902-1912, 2008.
• Thomas, M., C. A. Geiger and C. Kambhamettu. "High resolution (400m) Motion Characterization of Sea Ice using ERS-1 SAR Imagery", Cold Regions Science and Technology, 52, 207-223, 2008.
• Wei Zhou and Chandra Kambhamettu, "A Unified Framework For Scene Illuminant Estimation", "Image and Vision Computing (IVC)", 26(3): 415-429 (2008).

Book Chapters

• Q. Li, J. Ye, and C. Kambhamettu, "Interest Pixel Mining", Encyclopedia of Data Warehousing and Mining (Second Edition), Idea Group Inc, pp. 1091-1096, 2008.

2007

Conference Papers

• Thomas, M., C. Kambhamettu, C. A. Geiger, J. Hutchings, M. Engram, "Near-real time motion analysis for APLIS 2007: A systems modeling perspective", Proceedings of the 15th ACM International Symposium on Advances in Geographic Information Systems (in cooperation with SIGMETRICS), Seattle, November, 2007. (Acceptance Rate: 29%)
• Yuanjie Zheng, Jingyi Yu, Chandra Kambhamettu, Sarah Englander, Mitchell D. Schnall, and Dinggang Shen, "De-enhancing the Dynamic Contrast-Enhanced Breast MRI for Robust Registration", MICCAI, Brisbane, Australia, November 2007. (Acceptance Rate: 199/637=31%)
• Yuanjie Zheng, Karl Steiner, Thomas Bauer, Jingyi Yu, Dinggang Shen, and Chandra Kambhamettu, "Lung Nodule Growth Analysis from 3D CT Data with a Coupled Segmentation and Registration Framework", IEEE Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA) 2007, Rio de Janeiro, Brasil, Oct 14-15, 2007.
• M. Thomas, C. A. Geiger, C. Kambhamettu, J. Hutchings, J. A. Richter-Menge, M. Engram, "Near-real time application of SAR-derived sea ice differential motion during APLIS Ice Camp 2007", Annual Conference of the Remote Sensing and Photogrammetry Society, Newcastle, UK, 2007.
• M. Thomas, C. A. Geiger and C. Kambhamettu, "High resolution motion estimation of sea ice using an implicit quad-tree approach", ISPRS Hannover Workshop, High-Resolution Earth Imaging for Geospatial Information, 2007.
• Thomas, M., C. A. Geiger and C. Kambhamettu, "Vector field characterization in ERS-1 imagery of sea-ice", Proceedings of the 8th Workshop on Applications of Computer Vision (WACV), Austin, February, 2007.

Journal Papers

• Maureen Stone, Gregory Stock, Kevin Bunin, Kausum Kumar, Melissa Epstein, Chandra Kambhamettu, Min Li, Vijay Parthasarathy and Jerry Prince. "Comparison of speech production in upright and supine position", Journal of the Acoustical Society of America, pp. 532-541, vol. 122, no. 1, July 2007.

Book Chapters

• Geiger, C. A., M. V. Thomas, and C. Kambhamettu, "SAR motion products: Tools for monitoring changes in sea ice mass balance and thickness distribution", in book Arctic Sea Ice Thickness: Past, Present and Future, 2007, from the International Workshop on Arctic Sea Ice Thickness (IWASIT), Rungsted Kyst, Denmark, 7-8 Nov 2005, 10 pages.

2006

Conference Papers

• W. Zhou and C. Kambhamettu, "Binocular Stereo Dense Matching in the Presence of Specular Reflections", IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Vol. 2, pp. 2363-2370, 2006. (264/1131 = 23.3%)
• Thomas, M. and C. Kambhamettu, "An approximation to mean-shift via swarm intelligence", Proceedings of the 18th Int. Conf. on Tools with Artificial Intelligence (ICTAI), pp583-590, Arlington, VA, November, 2006. (Acceptance Rate: 60/240=25%)
• Qi Li, Jieping Ye, Min Li and Chandra Kambhamettu, "Adaptive Appearance Based Face Recognition", 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'06), pp. 677-684, Arlington, VA, November, 2006. (Acceptance Rate: 60/240=25%)
• Qi Li and Chandra Kambhamettu, "Identity Representability of Facial Expressions: An Evaluation Using Feature Pixel Distributions", The Fifth International Conference on Machine Learning and Applications (ICMLA'06), pp. 296-301, Dec. 2006, Orlando, Florida. (Acceptance Rate: 22%)
• Jieping Ye, Tao Xiong, Qi Li, Ravi Janardan, Jinbo Bi, Vladimir Cherkassky and Chandra Kambhamettu, "Efficient model selection for regularized linear discriminant analysis", The Fifteenth ACM International Conference on Information and Knowledge Management (CIKM 2006), pp. 532-539, Nov. 2006. (Acceptance Rate: 81/537=15%)
• T. Srinark and C. Kambhamettu, "An approach for spot matching in 2-D electrophoresis gels", International Conference on Image Processing, 2006. (Acceptance Rate: 18%)
• M. Li, C. Kambhamettu and M. Stone, "A Level Set Approach for Shape Recovery of Open Contours", pp. 601-611, Vol. 1, Asian Conference on Computer Vision, Hyderabad, India 2006. (Acceptance Rate: 64/500=12%)
• Thomas, M., S. K. Misra, C. Kambhamettu and J.T. Kirby, "Dynamic Open Contours Using Particle Swarm Optimization with Application to Fluid Interface Extraction", Proceedings of the Asian Conference on Computer Vision (ACCV), Vol. 1, pp643-652, Hyderabad, January, 2006. (Acceptance Rate: 64/500=12%)
• T. Srinark, C. Kambhamettu and M. Stone, "A Hierarchical Method for 3D Rigid Motion Estimation", Asian Conference on Computer Vision, pp. 791-800, Vol. 2, Hyderabad, India 2006. (Acceptance Rate: 128/500=25%)
• Dimitris Metaxas, Chandra Kambhamettu and Dmitry Goldgof, editorial, special issue on Articulated and nonrigid motion, "Image and Vision Computing (IVC)", 2006.
• Hui Kong, Xuchun Li, Jian-Gang Wang and Chandra Kambhamettu, "Ensemble LDA for Face Recognition", Advances in Biometrics, International Conference (ICB 2006), pp. 166-172, Hong Kong, China, January 5-7, 2006.
• Thomas, M., C. A. Geiger and C. Kambhamettu, "Mesoscale Sea Ice Features Derived From Discontinuous Nonrigid Motion SAR Products", Proceedings of the 18th International Conference on Port and Ocean Engineering Under Arctic Conditions (POAC), Vol. 3, pp1011-1020, 2006.
• Q. Li, C. Kambhamettu and J. Ye, "Integrating spatial and discriminant strength for feature selection and linear dimensionality reduction", IEEE Workshop on Beyond Patches, in conjunction with CVPR, 2006.

Journal Papers

• Min Li, Chandra Kambhamettu and Maureen Stone, "Nonrigid motion recovery for 3D surfaces", "Image and Vision Computing (IVC)", pp. 250-261, Vol. 25, Issue 3, 2006.
• Thitwan Srinark and Chandra Kambhamettu, "A Framework for Multiple Snakes and Its Applications", Pattern Recognition (PR), Vol 39, pages 1555-1565, 2006.
• Misra, S.K., M. Thomas, C. Kambhamettu, J.T. Kirby, F. Veron and M. Brocchini, "Estimation of complex air-water interfaces from PIV images", Experiments in Fluids, 40, 764-775, May 2006.
• Qi Li and Jieping Ye and Chandra Kambhamettu. "Spatial interest pixel (SIPs): Useful low-level features of visual media data", Multimedia Tools and Applications, pp. 89-108, Volume 30, Number 1, July 2006.

Book Chapters

• Stone, M. and M.A. Epstein, C. Kambhamettu, M. Li, "Predicting 3D tongue shapes from midsagittal contours", in J. Harrington and M. Tabain (eds.), Speech Production: Models, Phonetic Processes, and Techniques, Psychology Press, Chapter 18, 315-330.

2005

Conference Papers

• Hui Kong, Xuchun Li, Jian-Gang Wang, Eam Khwang Teoh, and Chandra Kambhamettu, "Discriminant low-dimensional subspace analysis for face recognition with small number of training samples", British Machine Vision Conference (BMVC'05), Oxford, UK, September 5-8, 2005. (Acceptance Rate: 53/243=21%)
• Hui Kong, Xuchun Li, Jian-Gang Wang, Eam Khwang Teoh, and Chandra Kambhamettu, "Generalized 2D Fisher discriminant analysis", British Machine Vision Conference (BMVC'05), Oxford, UK, September 5-8, 2005. (Acceptance Rate: 53/243=21%)
• T. Srinark and C. Kambhamettu, "An Approach for Spot Detection of 2-D Electrophoresis Images", International Conference on Biomedical Engineering (ICBE), Singapore, 2005.
• S. K. Misra, J. T. Kirby, M. Brocchini, F. Veron, M. Thomas and C. Kambhamettu, "Coherent turbulent structures in a quasi-steady spilling breaker", for presentation at Waves 2005, Madrid, July, 2005.
• Yusuf Sinan Akgul and Chandra Kambhamettu, "Acoustic Flow and its applications", The 20th International Symposium on Computer and Information Sciences (ISCIS'05), pp. 646-655, Istanbul, Turkey, October 26-28, 2005.

Journal Papers

• Min Li, Chandra Kambhamettu and Maureen Stone , "Automatic Contour Tracking in Ultrasound Images", International Journal of Clinical Linguistics and Phonetics., 19 (6-7): 545-554, 2005.
• Min Li, Chandra Kambhamettu and Maureen Stone , "Tongue motion averaging from contour sequences", International Journal of Clinical Linguistics and Phonetics., 19 (6-7): 515-528, 2005.
• M. Thomas, S. K. Misra, C. Kambhamettu, and J. T. Kirby, "A robust phase-correlation based motion estimation algorithm for PIV", Measurement Science and Technology, 16(3) 865-877, 2005.

2004

Conference Papers

• Thitwan Srinark and Chandra Kambhamettu, "A Microarray Image Analysis System Based on Multiple-Snake", International Conference on Bioinformatics and Its Applications (ICBA'04), Nova Southeastern University, Fort Lauderdale, Florida, December 16-19, 2004.
• Misra, S. K., Kirby, J. T., Brocchini, M., Thomas, M., Veron, F., Kambhamettu, C., "Extra strain rates in spilling breaking waves", 29th Intl. Conf. Coastal Engg., Lisbon, September 2004.
• Wei Zhou and Chandra Kambhamettu, "A Unified Framework For Scene Illuminant Estimation", British Machine Vision Conference, London, United Kingdom, September 7-9, 2004. (Acceptance Rate: 42/275=15%)
• Min Li, Chandra Kambhamettu and Maureen Stone, "A General Framework for 2D Multiframe and 3D Surface-to-Surface Motion Estimation", British Machine Vision Conference, London, United Kingdom, September 7-9, 2004. (Acceptance Rate: 56/275=20%)
• Wei Zhou and Chandra Kambhamettu, "Estimation of the Size and Location of Multiple Area Light Sources", 17th international conference on pattern recognition, pp. 214-217, Vol.3, Cambridge, United Kingdom, August 23-26, 2004. (Acceptance Rate: 625/1781=35%)
• Min Li, Chandra Kambhamettu and Maureen Stone, "Spline-based Motion Recovery for 3D Surfaces Using Nonrigid Shape Properties", IEEE workshop on Articulated and Nonrigid Motion 2004, in conjunction with CVPR'04, Washington, DC, USA, June 2004.
• Mani Thomas, Cathleen Geiger, Chandra Kambhamettu, "Discontinuous Non-Rigid Motion Analysis of Sea Ice using C-Band Synthetic Aperture Radar Satellite Imagery", IEEE Workshop on Articulated and Nonrigid Motion (ANM 2004), Washington DC, June 2004.
• Qi Li, Jieping Ye and Chandra Kambhamettu. "Linear Projection Methods in Face Recognition under Unconstrained Illuminations: A Comparative Study", IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), vol. II, pp. 474-481, Washington DC, June 2004. (Acceptance Rate: 206/873=23.6%).
• Thitwan Srinark and Chandra Kambhamettu, "Multiple Snakes: A Guiding Scheme for Object Segmentation", Asian Conference on Computer Vision, Jeju Island, Korea, January 27-30, 2004.
• Wei Zhou and Chandra Kambhamettu, "Separation of Reflection Component by Fourier Decoupling", Asian Conference on Computer Vision, Jeju Island, Korea, January 27-30, 2004.
• Min Li and Chandra Kambhamettu, "Nonrigid point correspondence recovery for planar curves using Fourier decomposition", Asian Conference on Computer Vision, Jeju Island, Korea, January 27-30, 2004.
• Lin Zhou and Chandra Kambhamettu, "3D Motion compensated interpolation of multispectral cloud image sequences", Applications of Computer Vision (ACV), Prague, May 11-14, 2004.

Journal Papers

• Thitwan Srinark and Chandra Kambhamettu, "A Microarray Image Analysis System Based on Multiple-Snake", Journal of Biological Systems Special Issue. The World Scientific Publishing. Vol. 12, No. 4, pages 202-209, December 2004.

2003

Conference Papers

• Thitiwan Srinark and Chandra Kambhamettu, "An Approach for 3D Segmentation on Multiresolution Surfaces", Proceedings of International Conference on Intelligent Technologies 2003, Chiang Mai, Thailand, December 17-19, 2003, ISBN: 974-658-151-1, Pages 384-393.
• Qi Li, Chris Brown, Chandra Kambhamettu, Tao Li, Shenghuo Zhu, "A framework of individually-focused teleconferencing (IFT) via an efficient 3D reprojection technique.", in the proceedings of 18th ACM SAC Multimedia and Visualization Track (MMV), pp 951-955, March 9 to 12, 2003, Melbourne, Florida, USA.
• Qi Li, Jieping Ye and Chandra Kambhamettu, "Spatial Interest Pixels (SIPs): Useful Low-Level Features of Visual Media Data", IEEE Intl. Conf. on Data Mining (ICDM'03), pp. 163-170, 2003. (Acceptance Rate: 58/501=11%)
• Thitiwan Srinark and Chandra Kambhamettu, "A Novel Method for 3D Surface Mesh Segmentation", Proceedings of 6th IASTED International Conference on Computers, Graphics, and Imaging, Honolulu, Hawaii, USA, August 13-15, 2003, ISBN: 0-88986-376-8, Pages 212-217.
• Min Li, Chandra Kambhamettu and Maureen Stone, "Snake for Band Edge Extraction and Its Applications". 6th IASTED International Conference on Computers, Graphics, and Imaging, pp. 261-266, August 13-15, 2003, Honolulu, Hawaii, USA.
• Thitiwan Srinark and Chandra Kambhamettu, "A Novel Segmentation Method for 3D Surface Meshes", Proceedings of 4th Symposium on Trends in Unstructured Mesh Generation, 7th US National Congress on Computational Mechanics, Albuquerque, New Mexico, USA, July 27-31, 2003, ISBN: 0-9743254-0-6, Page 68.

Journal Papers

• Pavel Laskov and Chandra Kambhamettu, "Curvature-based Algorithms for Non-rigid Motion and Correspondence Estimation", IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. 25, No. 11, pp. 1349-1354, Nov. 2003.
• Ye Zhang and Chandra Kambhamettu, "On Three Dimensional Scene Flow and Structure Recovery from Multiview Image Sequences", "Special Issue of IEEE Transactions on Systems, Man, and Cybernetics on 3D Image Analysis and Modeling (SMC)", Vol. 33, No. 4, pp. 592-606, August 2003.
• Yusuf Akgul and Chandra Kambhamettu, "A Coarse-to-Fine Deformable Contour Optimization Framework", IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. 25, No. 2, pp. 174-196, Feb. 2003.
• Chandra Kambhamettu, Dmitry Goldgof, Matthew He, and Pavel Laskov, "3D Nonrigid Motion Analysis Under Small Deformations", "Image and Vision Computing (IVC)", Vol. 21, No. 3, pp. 229-245, March 2003. (12th in the 25 most downloaded articles of IVC: January - December 2003) [ref]

2002

Conference Papers

• Min Li, Chandra Kambhamettu, "Motion-based Post Processing of Deformable Contours", ICVGIP2002, December 2002, Ahmedabad, India.
• Qi Li, Tao Li , Shenghuo Zhu and Chandra Kambhamettu, "Improving medical/biological data classification performance by wavelet pre-processing", The 2002 International Conference on Data Mining (ICDM 2002), pp 657-660. (Acceptance Rate: 118/369=32%)
• Qi Li, Tao Li , Shenghuo Zhu and Chandra Kambhamettu, "How well can wavelet denoising improve the accuracy of computing fundamental matrices?", Proc. IEEE Workshop on Motion and Video Computing, pp 247-252, Orlando, FL USA, Dec 05-06, 2002.
• Wei Zhou and Chandra Kambhamettu, "Estimation of Illuminant Direction and Intensity of Multiple Light Sources", European Conference on Computer Vision (ECCV2002), Vol IV, pp. 206-220, Copenhagen, Denmark, May 27 - June 2, 2002.
• Ye Zhang and Chandra Kambhamettu, "Stereo Matching with Segmentation-based Cooperation", European Conference on Computer Vision (ECCV2002), Vol II, pp. 556-571, Copenhagen, Denmark, May 27 - June 2, 2002.
• Pavel Laskov and Chandra Kambhamettu, "Curvature-Based Algorithms for Non-Rigid Motion and Correspondence Estimation", Fifth Asian Conference on Computer Vision (ACCV2002), Vol I, pp. 19-26, Melbourne, Australia, January, 2002.
• Lin Zhou and Chandra Kambhamettu, "Representing and Recognizing Complete Set of Geons Using Extended Superquadrics", International Conference on Pattern Recognition (ICPR2002), Quebec City, Quebec, Canada, August 11-15, 2002.
• Stone, M., Sutton, M., Parthasarathy, V., Prince, J., Li, M., and Kambhamettu, C. "Effects of upright and supine orientation on tongue position during silence", Joint meeting of the Acoustical Society of America, Iberoamerican Congress of Acoustics and Mexican Congress on Acoustics, Cancun, Mexico, December 2-6, 2002.

Journal Papers

• Ye Zhang and Chandra Kambhamettu, "3D Head Tracking under Partial Occlusion", Pattern Recognition (PR), vol. 35, no. 7, pp. 1545-1557, 2002.

Book Chapters

• Lin Zhou and Chandra Kambhamettu and Dimitry B. Goldgof, "Nonrigid Motion and Structure Analysis from 2D with Application towards 3D Cloud Tracking", Advances in Image Processing and Understanding, A Festschrift for Thomas Huang, World Scientific, Series in Machine Perception and Artificial Intelligence - Vol. 52, pp. 57-87, 2002.

2001

Conference Papers

• Ye Zhang, Chandra Kambhamettu, "On 3D Scene Flow and Structure Estimation", IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR2001), Vol. II, pp. 778-785, Kauai Marriott, Hawaii, December 11-13, 2001.
• Thitwan Srinark, Chandra Kambhamettu, "A Framework for Multiple Snakes", IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR2001), Vol II, pp. 202-209, Kauai Marriott, Hawaii, December 11-13, 2001.
• Pavel Laskov, Chandra Kambhamettu, "Comparison of 3D Algorithms for Non-rigid Motion and Correspondence Estimation", Proceedings of the 12th British Machine Vision Conference (BMVC2001), pp. 273-282, Manchester, UK, September 2001.
• Pavel Laskov and Chandra Kambhamettu, "Kernel Method for Linear Operator Variational Problems: Non-linear Unit Normal Algorithm for Non-Rigid Motion Estimation of 3D Surfaces", Workshop on Kernel & Subspace Methods for Computer Vision (ICANN 2001), Vienna, Austria, August 2001.

Journal Papers

• Lin Zhou, Chandra Kambhamettu, Dmitry B. Goldgof, K. Palaniappan, and A. F. Hasler, "Tracking Nonrigid Motion and Structure from 2D Satellite Cloud Images without Correspondences", IEEE Transaction on Pattern Analysis and Machine Intelligence (PAMI), Vol. 23-11, pp. 1330-1336, November 2001.
• Lin Zhou and Chandra Kambhamettu, "Extending Superquadrics with Exponent Functions: Modeling and Reconstruction", Graphical Models, Vol. 63-1, pp. 1-20, January, 2001.

2000

Conference Papers

• Pavel Laskov, Chandra Kambhamettu, "Tracking Non-Rigid Objects using Functional Distance Metric", Proceedings of Indian Conference on Vision, Graphics and Image Processing (ICVGIP2000), Bangalore, India, Dec. 20-22, 2000.
• Yusuf Sinan Akgul, Chandra Kambhamettu and Maureen Stone "A Task-Specific Contour Tracker for Ultrasound", IEEE Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA2000), pp. 135-141, Hilton Head Island, South Carolina, June 2000.
• Lin Zhou and Chandra Kambhamettu, "Hierarchical Structure and Nonrigid Motion Recovery from 2D Monocular Views", IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR2000), pp. II-752-759, Hilton Head Island, South Carolina, June 2000.
• Lin Zhou, Chandra Kambhamettu and Dmitry B. Goldgof, "Fluid Structure and Motion Analysis from Multi-spectrum 2D Cloud Image Sequences", IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR2000), pp. II-744-751, Hilton Head Island, South Carolina, June 2000.
• Ye Zhang and Chandra Kambhamettu, "Integrated 3D Scene Flow and Structure Recovery from MultiviewImage Sequences", IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR2000), pp. II-674-681, Hilton Head Island, South Carolina, June 2000.
• Ye Zhang and Chandra Kambhamettu, "Robust 3D Head Tracking Under Partial Occlusion", Fourth IEEE International Conference on Automatic Face and Gesture Recognition (FG2000), pp. 176-182, Grenoble, France, March 2000.

1999

Conference Papers

• Yusuf Sinan Akgul and Chandra Kambhamettu, "A Scale-Space Based Approach for Deformable Contour Optimization", Second International Conference on Scale-Space Theories in Computer Vision (SSTC1999), pp. 410-422, Kerkyra, Greece, September 1999.
• Yusuf Sinan Akgul and Chandra Kambhamettu, "Recovery and Tracking of Continuous 3D Surfaces from Stereo Data Using A Deformable Dual-Mesh", 7th IEEE International Conference on Computer Vision (ICCV1999), pp. 765-772, Kerkyra, Greece, September 1999.
• Lin Zhou, Chandra Kambhamettu, and Dmitry B. Goldgof, "Extracting Nonrigid Motion and 3D Structure of Hurricanes from Satellite Image Sequences without Correspondences", IEEE Conference on Computer Vision and Pattern Recognition (CVPR1999), Vol. II, pp. 280-285, Fort Collins, CO, June 1999.
• Lin Zhou and Chandra Kambhamettu, "Extending Superquadrics with Exponent Functions: Modeling and Reconstruction", IEEE Conference on Computer Vision and Pattern Recognition (CVPR1999), Vol. II, pp. 73-78, Fort Collins, CO, June 1999.
• Yusuf Akgul and Chandra Kambhamettu, "A New Multi-Level Framework for Deformable Contour Optimization", IEEE Conference on Computer Vision and Pattern Recognition (CVPR1999), Vol. II, pp. 465-470, Fort Collins, CO, June 1999.

Journal Papers

• Yusuf Sinan Akgul, Chandra Kambhamettu, and Maureen Stone, "Automatic Extraction and Tracking of The Tongue Contours", IEEE Transactions on Medical Imaging (TMI), Special Issue on Model-Based Analysis of Medical Images, pp. 1035-1045, Vol 18, No. 10, October, 1999.

1998

Conference Papers

• Lin Zhou, Chandra Kambhamettu, and Dmitry B. Goldgof, "Structure and Nonrigid Motion Analysis of Satellite Cloud Images", Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP1998), pp. 285-291, New Delhi, India, Dec. 21-23, 1998.
• Yusuf Akgul, Chandra Kambhamettu and Maureen Stone, "Analysis of The Tongue Surface Movement Using A Spatiotemporally Coherent Deformable Model", Fourth IEEE Workshop on Applications of Computer Vision (WACV1998), pp. 109-114, Princeton, New Jersey, Oct. 19-21, 1998.
• Kai Chen, Chandra Kambhamettu and Dmitry Goldgof, "Extraction of MPEG-4 FAP Parameters from 3D Face Data Sequences", International Workshop on Very Low Bitrate Video Coding (VLBV1998), pp. 77-80, Urbana IL, Oct. 8-9, 1998.
• Ram Balasubramanian, Dmitry B. Goldgof and Chandra Kambhamettu, "Tracking of Nonrigid Motion and 3D Structure from 2D Image Sequences without Correspondences", International Conference on Image Processing, pp. 933-937, vol 1, Chicago, IL, October 4-7, 1998.
• Yusuf Akgul, Chandra Kambhamettu and Maureen Stone, "Automatic Motion Analysis of Tongue Surface from Ultrasound Image Sequences", IEEE Workshop on Biomedical Image Analysis (WBIA1998), pp. 126-132, Santa Barbara CA, June 26-27, 1998.
• Yusuf Akgul, Chandra Kambhamettu and Maureen Stone, "Extraction and Tracking of The Tongue Surface from Ultrasound Image Sequences", IEEE Conference on Computer Vision and Pattern Recognition (CVPR1998), pp. 298-303, Santa Barbara, CA, June 23-25 1998.

Journal Papers

• A. Frederick Hasler, K. Palaniappan, Chandra Kambhamettu, Peter Black, Eric Uhlhorn and Dennis Chesters, "High Resolution Wind Fields within the Inner-Core and Eye of a Mature Tropical Cyclone from GOES 1-min images", Bulletin of the American Meteorological Society, vol 79, no. 11, pp. 2483-2496, November, 1998.

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

• Shin-yee Lu and Chandra Kambhamettu, "3D Vision of Dynamic Objects", Handbook of Pattern Recognition and Computer vision (edited by C.H. Chen, L. F. Pau and P.S.P. Wang), World Scientific Publishing Company, NJ/Singapore, pp. 425-454, 1997.

1996

Conference Papers

• S. Kumar, Chandra Kambhamettu, Maha Sallam and D. B. Goldgof, "Model based Estimation of Point Correspondences Between Boundaries Undergoing Nonrigid Motion", International Conference on Image Processing (ICIP1996), vol. I, pp. 359-362, Lausanne, Switzerland, 1996.
• Matthew He and Chandra Kambhamettu, "General Small Deformations of Surfaces and its Applications", Chamonix conference '96, Chamonix - Mont-Blanc, France.
• K. Palaniappan, M. Faisal, Chandra Kambhamettu and A. Frederick Hasler, "Implementation of an Automatic Semi-fluid Motion Analysis Algorithm on a Massively Parallel Computer", 10th International Parallel Processing Symposium (IPPS1996), pp. 864-872, 1996.
• Chandra Kambhamettu, K. Palaniappan and A. Frederick Hasler, "Automated Cloud-drift Winds from GOES Images", SPIE Proc. on GOES-8 and Beyond, pp. 122-133, Denver, Colorado, 1996.

1995

Conference Papers

• Chandra Kambhamettu, K. Palaniappan and A. Frederick Hasler, "Coupled, Multi-resolution Stereo and Motion Analysis", IEEE International Symposium on Computer Vision (ISCV1995), pp. 43-48, November, 1995.
• K. Palaniappan, Chandra Kambhamettu, A. Frederick Hasler and Dmitry B. Goldgof, "Structure and Semi-fluid Motion Analysis of Stereoscopic Satellite Images for Cloud Tracking", International Conference on Computer Vision (ICCV1995), pp. 659-665, 1995.

1994

Conference Papers

• Chandra Kambhamettu, Dmitry B. Goldgof and Matthew He, "Determination of Motion parameters and Estimation of Point Correspondences in small Nonrigid deformations", Proceedings of IEEE conference on Computer Vision and Pattern Recognition (CVPR1994), pp. 943-946, 1994.

Journal Papers

• Sanjoy K. Mishra, Dmitry B. Goldgof and Chandra Kambhamettu, "Estimating Nonrigid Motion from Point and Line Correspondences", Pattern Recognition Letters (PRL), Vol 15, No 6, pp. 559-566, 1994.

1993

Conference Papers

• Chandra Kambhamettu, Dmitry B. Goldgof and Matthew He, "On a study of invariant features in nonrigid transformations", IEEE Workshop on Qualitative Vision, pp. 118-127, 1993.

Journal Papers

• Sanjoy K. Mishra, Chandra Kambhamettu, Dmitry B. Goldgof and Thomas S. Huang, "Curvature-Based Nonrigid Motion Analysis from Three-Dimensional Correspondences", International Journal of Imaging Systems and Technology, Vol 4, pp. 214-225, 1993.
• Matthew He, Dmitry B. Goldgof and Chandra Kambhamettu, "Variation of Gaussian Curvature Under Conformal Mapping and Its Application", Computers and Mathematics with Applications, Vol 26, No 1, pp. 63-74, 1993.

1992

Conference Papers

• Chandra Kambhamettu and Dmitry B. Goldgof, "Point Correspondence Recovery in Nonrigid Motion", Proceedings of IEEE conference on Computer Vision and Pattern Recognition (CVPR1992), pp. 222-227, 1992.

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

• Chandra Kambhamettu, Dmitry B. Goldgof and Alade Tokuta, "Towards a Representation of Facial Expressions for Recognition and Display", Florida AI Research Symposium (FLAIRS1990), pp. 85-89, 1990.