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• affiliation:University of South Florida, Bellini College of Artificial Intelligence, Cybersecurity and Computing, Tampa, FL, USA
• affiliation (former):University of Delaware, VIMS Lab, Newark, DE, USA
• affiliation (PhD 1994):University of South Florida, Tampa, FL, USA

• 2025
• 
  [c180]
  Rohit Venkata Sai Dulam,Chandra Kambhamettu:
  Salient Object Detection with Dynamic Convolutions.CVPR Workshops2025:1692-1702
• 
  [c179]
  Kyle O'Donnell,Chandra Kambhamettu:
  Feature Matching in the Dark: Homography-Based RGB-IR Feature Transformation for Low-Light Vision.CVPR Workshops2025:1703-1711
• 
  [c178]
  Tyler Rust,Michael Pergeorelis,Chandra Kambhamettu,Colin Kelly:
  S-Band SAR Target Classification via 2D and 3D Deep Learning Methods.CVPR Workshops2025:4531-4539
• 
  [c177]
  Michael Pergeorelis,Tyler Rust,Chandra Kambhamettu:
  Open Dataset and Enhancement Method for Long-wave Thermal Diurnal Material Classification.CVPR Workshops2025:4595-4601
• 2024
• 
  [c176]
  Shivanand Venkanna Sheshappanavar,Tejas Anvekar,Shivanand Kundargi,Yufan Wang,Chandra Kambhamettu:
  A Benchmark Grocery Dataset of Realworld Point Clouds From Single View.3DV2024:516-527
• 
  [c175]
  Seyedalireza Khoshsirat,Chandra Kambhamettu:
  Embedding Attention Blocks For Answer Grounding.ICIP2024:521-527
• 
  [c174]
  Rohit Venkata Sai Dulam,Chandra Kambhamettu:
  SODAWideNet++: Combining Attention and Convolutions for Salient Object Detection.ICPR (10)2024:210-226
• 
  [c173]
  Ashuta Bhattarai,Jing Jin,Chandra Kambhamettu:
  Analyzing Adjacent B-Scans to Localize Sickle Cell Retinopathy In OCTs.MICCAI (3)2024:574-584
• 
  [c172]
  Seyedalireza Khoshsirat,Chandra Kambhamettu:
  Improving Normalization with the James-Stein Estimator.WACV2024:2030-2040
• 
  [i10]
  Shivanand Venkanna Sheshappanavar,Tejas Anvekar,Shivanand Kundargi,Yufan Wang,Chandra Kambhamettu:
  A Benchmark Grocery Dataset of Realworld Point Clouds From Single View.CoRRabs/2402.07819 (2024)
• 
  [i9]
  Rohit Venkata Sai Dulam,Chandra Kambhamettu:
  SODAWideNet++: Combining Attention and Convolutions for Salient Object Detection.CoRRabs/2408.16645 (2024)
• 2023
• 
  [j35]
  Azubuike Okorie,Chandra Kambhamettu,Sokratis Makrogiannis:
  Unsupervised learning of probabilistic subspaces for multi-spectral and multi-temporal image-based disaster mapping.Mach. Vis. Appl.34(6):103 (2023)
• 
  [j34]
  Seyedalireza Khoshsirat,Chandra Kambhamettu:
  A transformer-based neural ODE for dense prediction.Mach. Vis. Appl.34(6):113 (2023)
• 
  [c171]
  Chandra Kambhamettu:
  3DSAINT Representation for 3D Point Clouds.CVPR Workshops2023:2765-2774
• 
  [c170]
  Seyedalireza Khoshsirat,Chandra Kambhamettu:
  Sentence Attention Blocks for Answer Grounding.ICCV2023:6057-6067
• 
  [c169]
  Rohit Venkata Sai Dulam,Chandra Kambhamettu:
  SODAWideNet - Salient Object Detection with an Attention Augmented Wide Encoder Decoder Network Without ImageNet Pre-training.ISVC (2)2023:93-105
• 
  [c168]
  Huining Liang,Chandra Kambhamettu:
  Edge-Guided Image Inpainting with Transformer.ISVC (2)2023:285-296
• 
  [c167]
  Yi Liu,Su Peng,Jeffrey Caplan,Chandra Kambhamettu:
  Pick and Trace: Instance Segmentation for Filamentous Objects with a Recurrent Neural Network.MICCAI (8)2023:635-645
• 
  [c166]
  Rohit Venkata Sai Dulam,Emily R. Fedders,Andrew R. Mahoney,Chandra Kambhamettu:
  ConvSegFormer - A Convolution Aided SegFormer Architecture for Detection of Discontinuities in Wrapped Interferometric Phase Imagery of Sea Ice.SCIA (2)2023:203-213
• 
  [c165]
  Shivanand Venkanna Sheshappanavar,Chandra Kambhamettu:
  Local Neighborhood Features for 3D Classification.SCIA (1)2023:386-395
• 
  [i8]
  Seyedalireza Khoshsirat,Chandra Kambhamettu:
  Empowering Visually Impaired Individuals: A Novel Use of Apple Live Photos and Android Motion Photos.CoRRabs/2309.08022 (2023)
• 
  [i7]
  Seyedalireza Khoshsirat,Chandra Kambhamettu:
  Sentence Attention Blocks for Answer Grounding.CoRRabs/2309.11593 (2023)
• 
  [i6]
  Rohit Venkata Sai Dulam,Chandra Kambhamettu:
  SODAWideNet - Salient Object Detection with an Attention augmented Wide Encoder Decoder network without ImageNet pre-training.CoRRabs/2311.04828 (2023)
• 
  [i5]
  Seyedalireza Khoshsirat,Chandra Kambhamettu:
  Improving Normalization with the James-Stein Estimator.CoRRabs/2312.00313 (2023)
• 2022
• 
  [c164]
  Vinit Veerendraveer Singh,Chandra Kambhamettu:
  Classification of Biomedical Journal Images using Retargeting-Based Data Augmentation and Visually Explainable Attention Priors.BMVC2022:497
• 
  [c163]
  Vinit Veerendraveer Singh,Chandra Kambhamettu:
  AIM: an Auto-Augmenter for Images and Meshes.CVPR2022:712-721
• 
  [c162]
  Ashuta Bhattarai,Chandra Kambhamettu,Jing Jin:
  Cu-Net: Towards Continuous Multi-Class Contour Detection for Retinal Layer Segmentation In Oct Images.ICIP2022:3833-3837
• 
  [c161]
  Kelsey Kaplan,Chandra Kambhamettu:
  A Novel Methodology for High Resolution Sea Ice Motion Estimation.ICPR Workshops (3)2022:317-329
• 
  [c160]
  Rohit Venkata Sai Dulam,Kelsey Kaplan,Chandra Kambhamettu:
  Deep Learning-Based Sea Ice Lead Detection from WorldView and Sentinel SAR Imagery.ICPR Workshops (3)2022:330-342
• 
  [c159]
  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.ICPR2022:4270-4276
• 
  [c158]
  Seyedalireza Khoshsirat,Chandra Kambhamettu:
  Semantic Segmentation Using Neural Ordinary Differential Equations.ISVC (1)2022:284-295
• 
  [c157]
  Shivanand Venkanna Sheshappanavar,Chandra Kambhamettu:
  SimpleView++: Neighborhood Views for Point Cloud Classification.MIPR2022:31-34
• 
  [i4]
  Seyedalireza Khoshsirat,Chandra Kambhamettu:
  Semantic Segmentation using Neural Ordinary Differential Equations.CoRRabs/2209.08667 (2022)
• 
  [i3]
  Shivanand Venkanna Sheshappanavar,Chandra Kambhamettu:
  Local Neighborhood Features for 3D Classification.CoRRabs/2212.05140 (2022)
• 2021
• 
  [c156]
  Lauren Olson,Chandra Kambhamettu,Kathleen F. McCoy:
  Towards Using Live Photos to Mitigate Image Quality Issues In VQA Photography.ASSETS2021:92:1-92:3
• 
  [c155]
  Shivanand Venkanna Sheshappanavar,Vinit Veerendraveer Singh,Chandra Kambhamettu:
  PatchAugment: Local Neighborhood Augmentation in Point Cloud Classification.ICCVW2021:2118-2127
• 
  [c154]
  Vinit Veerendraveer Singh,Shivanand Venkanna Sheshappanavar,Chandra Kambhamettu:
  Mesh Classification With Dilated Mesh Convolutions.ICIP2021:3138-3142
• 
  [c153]
  Shivanand Venkanna Sheshappanavar,Chandra Kambhamettu:
  Dynamic Local Geometry Capture in 3D Point Cloud Classification.MIPR2021:158-164
• 
  [c152]
  Vinit Veerendraveer Singh,Shivanand Venkanna Sheshappanavar,Chandra Kambhamettu:
  MeshNet++: A Network with a Face.ACM Multimedia2021:4883-4891
• 2020
• 
  [c151]
  Shivanand Venkanna Sheshappanavar,Chandra Kambhamettu:
  A Novel Local Geometry Capture in Pointnet++ for 3D Classification.CVPR Workshops2020:1059-1068
• 
  [c150]
  Yi Liu,Alexander Nedo,Kody Seward,Jeffrey Caplan,Chandra Kambhamettu:
  Quantifying Actin Filaments in Microscopic Images using Keypoint Detection Techniques and A Fast Marching Algorithm.ICIP2020:2506-2510
• 
  [c149]
  Vinit Veerendraveer Singh,Chandra Kambhamettu:
  Feature Map Retargeting to Classify Biomedical Journal Figures.ISVC (2)2020:728-741

• 2019
• 
  [c148]
  Vinit Veerendraveer Singh,Scott Sorensen,Chandra Kambhamettu:
  cPSITRES: A collaborative system for analysis of Big Data on sea ice.IEEE BigData2019:4134-4137
• 
  [c147]
  Wayne Treible,Philip Saponaro,Yi Liu,Agnijit Das Gupta,Vinit Veerendraveer Singh,Scott Sorensen,Chandra Kambhamettu:
  CATS 2: Color And Thermal Stereo Scenes with Semantic Labels.CVPR Workshops2019:6-10
• 
  [c146]
  Yi Liu,Abhishek Kolagunda,Wayne Treible,Alex Nedo,Jeffrey Caplan,Chandra Kambhamettu:
  Intersection to Overpass: Instance Segmentation on Filamentous Structures With an Orientation-Aware Neural Network and Terminus Pairing Algorithm.CVPR Workshops2019:125-133
• 
  [c145]
  Wayne Treible,Philip Saponaro,Chandra Kambhamettu:
  Wildcat: In-The-Wild Color-And-Thermal Patch Comparison with Deep Residual Pseudo-Siamese Networks.ICIP2019:1307-1311
• 
  [c144]
  Philip Saponaro,Haoran Wei,Gregory Dominick,Chandra Kambhamettu:
  Estimating Physical Activity Intensity And Energy Expenditure Using Computer Vision On Videos.ICIP2019:3631-3635
• 
  [c143]
  Nikhil Gothankar,Chandra Kambhamettu,Paul Moser:
  Circular Hough Transform Assisted CNN Based Vehicle Axle Detection and Classification.ICITE2019:217-221
• 2018
• 
  [j33]
  Pengyuan Li,Xiangying Jiang,Chandra Kambhamettu,Hagit Shatkay:
  Compound image segmentation of published biomedical figures.Bioinform.34(7):1192-1199 (2018)
• 
  [j32]
  Sherin M. Mathews,Chandra Kambhamettu,Kenneth E. Barner:
  A novel application of deep learning for single-lead ECG classification.Comput. Biol. Medicine99:53-62 (2018)
• 
  [c142]
  Yi Liu,Wayne Treible,Abhishek Kolagunda,Alex Nedo,Philip Saponaro,Jeffrey Caplan,Chandra Kambhamettu:
  Densely Connected Stacked U-network for Filament Segmentation in Microscopy Images.ECCV Workshops (6)2018:403-411
• 
  [c141]
  Abhishek Kolagunda,Scott Sorensen,Sherif Mehralivand,Philip Saponaro,Wayne Treible,Baris Turkbey,Peter A. Pinto,Peter L. Choyke,Chandra Kambhamettu:
  A Mixed Reality Guidance System for Robot Assisted Laparoscopic Radical Prostatectomy.OR 2.0/CARE/CLIP/ISIC@MICCAI2018:164-174
• 2017
• 
  [j31]
  Guoyu Lu,Yan Yan,Nicu Sebe,Chandra Kambhamettu:
  Indoor localization via multi-view images and videos.Comput. Vis. Image Underst.161:145-160 (2017)
• 
  [j30]
  Xiaolong Wang,Guodong Guo,Michele Merler,Noel C. F. Codella,M. V. Rohith,John R. Smith,Chandra Kambhamettu:
  Leveraging multiple cues for recognizing family photos.Image Vis. Comput.58:61-75 (2017)
• 
  [j29]
  Guoyu Lu,Liqiang Nie,Scott Sorensen,Chandra Kambhamettu:
  Large-Scale Tracking for Images With Few Textures.IEEE Trans. Multim.19(9):2117-2128 (2017)
• 
  [c140]
  Abhishek Kolagunda,Scott Sorensen,Philip Saponaro,Wayne Treible,Chandra Kambhamettu,Kelly D. Sherbondy:
  Fuzzy Correspondences for Robust Shape Registration.3DV2017:686-694
• 
  [c139]
  Sherin M. Mathews,Chandra Kambhamettu,Kenneth E. Barner:
  Centralized class specific dictionary learning for wearable sensors based physical activity recognition.CISS2017:1-6
• 
  [c138]
  Pengyuan Li,Xiangying Jiang,Chandra Kambhamettu,Hagit Shatkay:
  Segmenting Compound Biomedical Figures into Their Constituent Panels.CLEF2017:199-210
• 
  [c137]
  Wayne Treible,Philip Saponaro,Scott Sorensen,Abhishek Kolagunda,Michael ONeal,Brian Phelan,Kelly D. Sherbondy,Chandra Kambhamettu:
  CATS: A Color and Thermal Stereo Benchmark.CVPR2017:134-142
• 
  [c136]
  Philip Saponaro,Wayne Treible,Abhishek Kolagunda,Timothy Chaya,Jeffrey Caplan,Chandra Kambhamettu,Randall Wisser:
  DeepXScope: Segmenting Microscopy Images with a Deep Neural Network.CVPR Workshops2017:843-850
• 
  [c135]
  Xiaolong Wang,Robert Li,Yin Zhou,Chandra Kambhamettu:
  A Study of Convolutional Sparse Feature Learning for Human Age Estimate.FG2017:566-572
• 
  [c134]
  Zhenzhu Zheng,Chandra Kambhamettu:
  Multi-level Feature Learning for Face Recognition under Makeup Changes.FG2017:918-923
• 
  [c133]
  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.ICIP2017:3285-3289
• 
  [c132]
  Guoyu Lu,Li Ren,Jeffrey Caplan,Chandra Kambhamettu:
  Stromule branch tip detection based on accurate cell image segmentation.ICIP2017:3300-3304
• 
  [c131]
  Scott Sorensen,Abhishek Kolagunda,Andrew R. Mahoney,Daniel P. Zitterbart,Chandra Kambhamettu:
  A Virtual Reality Framework for Multimodal Imagery for Vessels in Polar Regions.MMM (2)2017:63-75
• 
  [c130]
  Scott Sorensen,Wayne Treible,Leighanne Hsu,Xiaolong Wang,Andrew R. Mahoney,Daniel P. Zitterbart,Chandra Kambhamettu:
  Deep Learning for Polar Bear Detection.SCIA (1)2017:457-467
• 
  [i2]
  Abhishek Kolagunda,Scott Sorensen,Philip Saponaro,Wayne Treible,Chandra Kambhamettu:
  Robust Shape Registration using Fuzzy Correspondences.CoRRabs/1702.05664 (2017)
• 
  [i1]
  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.CoRRabs/1704.02356 (2017)
• 2016
• 
  [j28]
  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.Neurocomputing173:83-92 (2016)
• 
  [j27]
  Guoyu Lu,Li Ren,Abhishek Kolagunda,Xiaolong Wang,Ismail Baris Turkbey,Peter L. Choyke,Chandra Kambhamettu:
  Representing 3D shapes based on implicit surface functions learned from RBF neural networks.J. Vis. Commun. Image Represent.40:852-860 (2016)
• 
  [c129]
  Scott Sorensen,Zachary Ladin,Chandra Kambhamettu:
  Rapid development of scientific virtual reality applications.AIPR2016:1-5
• 
  [c128]
  Abhishek Kolagunda,Randall Wisser,Timothy Chaya,Jeffrey Caplan,Chandra Kambhamettu:
  Detection of fungal spores in 3D microscopy images of macroscopic areas of host tissue.BIBM2016:479-483
• 
  [c127]
  Pengyuan Li,Scott Sorensen,Abhishek Kolagunda,Xiangying Jiang,Xiaolong Wang,Chandra Kambhamettu,Hagit Shatkay:
  UDEL CIS Working Notes in ImageCLEF 2016.CLEF (Working Notes)2016:334-346
• 
  [c126]
  Guoyu Lu,Li Ren,Abhishek Kolagunda,Chandra Kambhamettu:
  Neural network shape: Organ shape representation with radial basis function neural networks.ICASSP2016:932-936
• 
  [c125]
  Scott Sorensen,Wayne Treible,Chandra Kambhamettu:
  Surface Stereo for Shallow Underwater Scenes.CVAUI@ICPR2016:37-42
• 
  [c124]
  Sherin M. Mathews,Chandra Kambhamettu,Kenneth E. Barner:
  Maximum Correntropy Based Dictionary Learning Framework for Physical Activity Recognition Using Wearable Sensors.ISVC (2)2016:123-132
• 
  [c123]
  Guoyu Lu,Yan Yan,Abhishek Kolagunda,Chandra Kambhamettu:
  A Fast 3D Indoor-Localization Approach Based on Video Queries.MMM (2)2016:218-230
• 2015
• 
  [j26]
  Guoyu Lu,Nicu Sebe,Congfu Xu,Chandra Kambhamettu:
  Memory efficient large-scale image-based localization.Multim. Tools Appl.74(2):479-503 (2015)
• 
  [c122]
  Abhishek Kolagunda,Guoyu Lu,Chandra Kambhamettu:
  Hierarchical Hybrid Shape Representation for Medical Shapes.BMVC2015:74.1-74.13
• 
  [c121]
  Scott Sorensen,Philip Saponaro,Stephen Rhein,Chandra Kambhamettu:
  Multimodal Stereo Vision For Reconstruction In The Presence Of Reflection.BMVC2015:112.1-112.12
• 
  [c120]
  Sherin M. Mathews,Chandra Kambhamettu,Kenneth E. Barner:
  "Am I your sibling?" Inferring kinship cues from facial image pairs.CISS2015:1-5
• 
  [c119]
  Xiaolong Wang,Xiangying Jiang,Abhishek Kolagunda,Hagit Shatkay,Chandra Kambhamettu:
  CIS UDEL Working Notes on ImageCLEF 2015: Compound Figure Detection Task.CLEF (Working Notes)2015
• 
  [c118]
  Philip Saponaro,Scott Sorensen,Abhishek Kolagunda,Chandra Kambhamettu:
  Material classification with thermal imagery.CVPR2015:4649-4656
• 
  [c117]
  Xiaolong Wang,Guodong Guo,M. V. Rohith,Chandra Kambhamettu:
  Leveraging geometry and appearance cues for recognizing family photos.FG2015:1-8
• 
  [c116]
  Xiaolong Wang,Chandra Kambhamettu:
  Age estimation via unsupervised neural networks.FG2015:1-6
• 
  [c115]
  Xiaolong Wang,Chandra Kambhamettu:
  A new approach for face recognition under makeup changes.GlobalSIP2015:423-427
• 
  [c114]
  Guoyu Lu,Yan Yan,Li Ren,Jingkuan Song,Nicu Sebe,Chandra Kambhamettu:
  Localize Me Anywhere, Anytime: A Multi-task Point-Retrieval Approach.ICCV2015:2434-2442
• 
  [c113]
  Scott Sorensen,Abhishek Kolagunda,Philip Saponaro,Chandra Kambhamettu:
  Refractive stereo ray tracing for reconstructing underwater structures.ICIP2015:1712-1716
• 
  [c112]
  Kaidi Ma,Hogyeong Jeong,M. V. Rohith,Gowri Somanath,Ryan Tarpine,Kyle Schutter,Dorothea Blostein,Sorin Istrail,Chandra Kambhamettu,Hagit Shatkay:
  Utilizing image-based features in biomedical document classification.ICIP2015:4451-4455
• 
  [c111]
  Philip Saponaro,Scott Sorensen,Stephen Rhein,Chandra Kambhamettu:
  Improving calibration of thermal stereo cameras using heated calibration board.ICIP2015:4718-4722
• 
  [c110]
  Xiaolong Wang,Rui Guo,Chandra Kambhamettu:
  Deeply-Learned Feature for Age Estimation.WACV2015:534-541
• 2014
• 
  [c109]
  Guoyu Lu,Yan Yan,Nicu Sebe,Chandra Kambhamettu:
  Knowing Where I Am: Exploiting Multi-Task Learning for Multi-view Indoor Image-based Localization.BMVC2014
• 
  [c108]
  Guoyu Lu,Chandra Kambhamettu:
  Image-based indoor localization system based on 3D SfM model.Intelligent Robots and Computer Vision: Algorithms and Techniques2014:90250H
• 
  [c107]
  Guoyu Lu,Scott Sorensen,Chandra Kambhamettu:
  Fast ice image retrieval based on a multilayer system.MOBMU2014:90300Q
• 
  [c106]
  Philip Saponaro,Scott Sorensen,Stephen Rhein,Andrew R. Mahoney,Chandra Kambhamettu:
  Reconstruction of textureless regions using structure from motion and image-based interpolation.ICIP2014:1847-1851
• 
  [c105]
  Xiaolong Wang,Chandra Kambhamettu:
  Leveraging appearance and geometry for kinship verification.ICIP2014:5017-5021
• 
  [c104]
  Xiaolong Wang,Vincent Ly,Scott Sorensen,Chandra Kambhamettu:
  Dog breed classification via landmarks.ICIP2014:5237-5241
• 
  [c103]
  Guoyu Lu,Vincent Ly,Chandra Kambhamettu:
  Structure-from-Motion reconstruction based on weighted Hamming descriptors.IJCNN2014:2367-2374
• 
  [c102]
  Philip Saponaro,Kelly D. Sherbondy,Chandra Kambhamettu:
  Concealed Target Detection with Fusion of Visible and Infrared.ISVC (2)2014:568-577
• 
  [c101]
  Xiaolong Wang,Vincent Ly,Rui Guo,Chandra Kambhamettu:
  2D-3D Face Recognition via Restricted Boltzmann Machines.VISAPP (2)2014:574-580
• 
  [c100]
  Guoyu Lu,Yingjie Hu,Chandra Kambhamettu:
  Weighted SIFT Feature Learning with Hamming Distance for Face Recognition.VISAPP (2)2014:691-699
• 
  [e2]
  George Bebis,Richard Boyle,Bahram Parvin,Darko Koracin,Ryan P. McMahan,Jason Jerald,Hui Zhang,Steven Mark Drucker,Chandra Kambhamettu,Maha El Choubassi,Zhigang Deng,Mark Carlson:
  Advances in Visual Computing - 10th International Symposium, ISVC 2014, Las Vegas, NV, USA, December 8-10, 2014, Proceedings, Part I.Lecture Notes in Computer Science 8887,Springer2014, ISBN978-3-319-14248-7[contents]
• 
  [e1]
  George Bebis,Richard Boyle,Bahram Parvin,Darko Koracin,Ryan P. McMahan,Jason Jerald,Hui Zhang,Steven Mark Drucker,Chandra Kambhamettu,Maha El Choubassi,Zhigang Deng,Mark Carlson:
  Advances in Visual Computing - 10th International Symposium, ISVC 2014, Las Vegas, NV, USA, December 8-10, 2014, Proceedings, Part II.Lecture Notes in Computer Science 8888,Springer2014, ISBN978-3-319-14363-7[contents]
• 2013
• 
  [j25]
  M. V. Rohith,Gowri Somanath,Debra Hess Norris,Jennifer Jae Gutierrez,Chandra Kambhamettu:
  A camera flash projector-based reconstruction system for digital preservation of artifacts.ACM Journal on Computing and Cultural Heritage6(1):5:1-5:19 (2013)
• 
  [j24]
  Yuanjie Zheng,Stephen Lin,Sing Bing Kang,Rui Xiao,James C. Gee,Chandra Kambhamettu:
  Single-Image Vignetting Correction from Gradient Distribution Symmetries.IEEE Trans. Pattern Anal. Mach. Intell.35(6):1480-1494 (2013)
• 
  [j23]
  M. V. Rohith,Joshua Jones,Hajo Eicken,Chandra Kambhamettu:
  Extracting Quantitative Information on Coastal Ice Dynamics and Ice Hazard Events From Marine Radar Digital Imagery.IEEE Trans. Geosci. Remote. Sens.51(5-1):2556-2570 (2013)
• 
  [c99]
  Gowri Somanath,Scott Cohen,Brian L. Price,Chandra Kambhamettu:
  Stereo+Kinect for High Resolution Stereo Correspondences.3DV2013:9-16
• 
  [c98]
  Philip Saponaro,Chandra Kambhamettu:
  Towards Auto-calibration of Smart Phones Using Orientation Sensors.CVPR Workshops2013:20-26
• 
  [c97]
  M. V. Rohith,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.CVPR Workshops2013:407-412
• 
  [c96]
  Xiaolong Wang,Chandra Kambhamettu:
  Gender classification of depth images based on shape and texture analysis.GlobalSIP2013:1077-1080
• 
  [c95]
  M. V. Rohith,Scott Sorensen,Stephen Rhein,Chandra Kambhamettu:
  Shape from stereo and shading by gradient constrained interpolation.ICIP2013:2232-2236
• 
  [c94]
  Xiaolong Wang,Vincent Ly,Guoyu Lu,Chandra Kambhamettu:
  Can We Minimize the Influence Due to Gender and Race in Age Estimation?ICMLA (2)2013:309-314
• 
  [c93]
  Xiaolong Wang,Vincent Ly,Guodong Guo,Chandra Kambhamettu:
  A New Approach for 2D-3D Heterogeneous Face Recognition.ISM2013:301-304
• 
  [c92]
  Vincent Ly,Chandra Kambhamettu:
  Mobile Scene Flow Synthesis.ISM2013:439-444
• 
  [c91]
  Guoyu Lu,Vincent Ly,Xiaolong Wang,M. V. Rohith,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.ISVC (2)2013:48-57
• 
  [c90]
  Guoyu Lu,Vincent Ly,Haoquan Shen,Abhishek Kolagunda,Chandra Kambhamettu:
  Improving Image-Based Localization through Increasing Correct Feature Correspondences.ISVC (1)2013:312-321
• 
  [c89]
  Guoyu Lu,Vincent Ly,Chandra Kambhamettu:
  Large-scale Structure-from-Motion Reconstruction with small memory consumption.MoMM2013:500
• 2012
• 
  [j22]
  Gayathri Mahalingam,Chandra Kambhamettu:
  Face verification of age separated images under the influence of internal and external factors.Image Vis. Comput.30(12):1052-1061 (2012)
• 
  [c88]
  Hagit Shatkay,Ramya Narayanaswamy,Santosh S. Nagaral,Na Harrington,M. V. Rohith,Gowri Somanath,Ryan Tarpine,Kyle Schutter,Tim Johnstone,Dorothea Blostein,Sorin Istrail,Chandra Kambhamettu:
  OCR-Based Image Features for Biomedical Image and Article Classification: Identifying Documents Relevant to Genomic Cis-Regulatory Elements.AAAI Fall Symposium: Information Retrieval and Knowledge Discovery in Biomedical Text2012
• 
  [c87]
  Gayathri Mahalingam,Chandra Kambhamettu:
  Face Recognition in Videos - A Graph Based Modified Kernel Discriminant Analysis.ACCV (1)2012:370-381
• 
  [c86]
  M. V. Rohith,Chandra Kambhamettu:
  Application of Heterogenous Motion Models towards Structure Recovery from Motion.ACCV (1)2012:622-635
• 
  [c85]
  Hagit Shatkay,Ramya Narayanaswamy,Santosh S. Nagaral,Na Harrington,M. V. Rohith,Gowri Somanath,Ryan Tarpine,Kyle Schutter,Tim Johnstone,Dorothea Blostein,Sorin Istrail,Chandra Kambhamettu:
  OCR-based image features for biomedical image and article classification: identifying documents relevant to cis-regulatory elements.BCB2012:98-104
• 
  [c84]
  Gowri Somanath,Chandra Kambhamettu:
  Can faces verify blood-relations?BTAS2012:105-112
• 
  [c83]
  M. V. Rohith,Chandra Kambhamettu:
  Augmenting monocular motion estimation using intermittent 3D models from depth sensors.ICPR2012:473-476
• 
  [c82]
  Gowri Somanath,Chandra Kambhamettu:
  Arrangement based image representation for scene recognition.ICPR2012:2436-2439
• 2011
• 
  [j21]
  Qi Li,Chandra Kambhamettu:
  Contour Extraction of Drosophila Embryos.IEEE ACM Trans. Comput. Biol. Bioinform.8(6):1509-1521 (2011)
• 
  [j20]
  Mani Thomas,Chandra Kambhamettu,Cathleen A. Geiger:
  Motion Tracking of Discontinuous Sea Ice.IEEE Trans. Geosci. Remote. Sens.49(12):5064-5079 (2011)
• 
  [c81]
  Gayathri Mahalingam,Chandra Kambhamettu:
  Can discriminative cues aid face recognition across age?FG2011:206-212
• 
  [c80]
  Gowri Somanath,M. V. Rohith,Chandra Kambhamettu:
  VADANA: A dense dataset for facial image analysis.ICCV Workshops2011:2175-2182
• 
  [c79]
  M. V. Rohith,Hossein Parishani,Orlando Ayala,Lian-Ping Wang,Chandra Kambhamettu:
  CollisionExplorer: A Tool for Visualizing Droplet Collisions in a Turbulent Flow.ISVC (2)2011:669-680
• 
  [c78]
  M. V. Rohith,Chandra Kambhamettu:
  Estimation and utilization of articulations in recovering non-rigid structure from motion using motion subspaces.J-HGBU@MM2011:41-46
• 2010
• 
  [c77]
  Gayathri Mahalingam,Chandra Kambhamettu:
  Video Based Face Recognition Using Graph Matching.ACCV (3)2010:82-94
• 
  [c76]
  Gowri Somanath,Chandra Kambhamettu:
  Abstraction and Generalization of 3D Structure for Recognition in Large Intra-Class Variation.ACCV (3)2010:483-496
• 
  [c75]
  M. V. Rohith,Chandra Kambhamettu:
  Learning Image Structures for Optimizing Disparity Estimation.ACCV (3)2010:627-640
• 
  [c74]
  Gayathri Mahalingam,Chandra Kambhamettu:
  Age invariant face recognition using graph matching.BTAS2010:1-7
• 
  [c73]
  Gayathri Mahalingam,Chandra Kambhamettu:
  Face verification with aging using AdaBoost and local binary patterns.ICVGIP2010:101-108
• 
  [c72]
  Gowri Somanath,M. V. Rohith,Chandra Kambhamettu:
  Single Camera Stereo System Using Prism and Mirrors.ISVC (2)2010:170-181
• 
  [c71]
  Gayathri Mahalingam,Chandra Kambhamettu:
  Face Recognition in Videos Using Adaptive Graph Appearance Models.ISVC (1)2010:519-528
• 
  [c70]
  M. V. Rohith,Gowri Somanath,Chandra Kambhamettu,Cathleen A. Geiger,David Finnegan:
  Modified Region Growing for Stereo of Slant and Textureless Surfaces.ISVC (1)2010:666-677

• 2009
• 
  [j19]
  Yuanjie Zheng,Stephen Lin,Chandra Kambhamettu,Jingyi Yu,Sing Bing Kang:
  Single-Image Vignetting Correction.IEEE Trans. Pattern Anal. Mach. Intell.31(12):2243-2256 (2009)
• 
  [j18]
  Mani Thomas,Chandra Kambhamettu,Cathleen A. Geiger:
  Mapping of large magnitude discontinuous sea ice motion.ACM SIGSPATIAL Special1(1):45-50 (2009)
• 
  [c69]
  Shaoting Zhang,Jinghao Zhou,Xiaoxu Wang,Sukmoon Chang,Dimitris N. Metaxas,George J. Pappas,Foteini Delis,Nora D. Volkow,Gene-Jack Wang,Panayotis K. Thanos,Chandra Kambhamettu:
  3D segmentation of rodent brains using deformable models and variational methods.CVPR Workshops2009:94-100
• 
  [c68]
  Yuanjie Zheng,Chandra Kambhamettu,Thomas L. Bauer,Karl V. Steiner:
  Accurate estimation of pulmonary nodule's growth rate in CT images with nonrigid registration and precise nodule detection and segmentation.CVPR Workshops2009:101-108
• 
  [c67]
  Yuanjie Zheng,Chandra Kambhamettu,Stephen Lin:
  Single-image optical center estimation from vignetting and tangential gradient symmetry.CVPR2009:2058-2065
• 
  [c66]
  Gowri Somanath,M. V. Rohith,Dimitris N. Metaxas,Chandra Kambhamettu:
  D - Clutter: Building object model library from unsupervised segmentation of cluttered scenes.CVPR2009:2783-2789
• 
  [c65]
  Yuanjie Zheng,Chandra Kambhamettu:
  Learning based digital matting.ICCV2009:889-896
• 
  [c64]
  Qi Li,Chandra Kambhamettu:
  Contour Extraction of Drosophila Embryos.ICTAI2009:33-40
• 
  [c63]
  M. V. Rohith,Gowri Somanath,Chandra Kambhamettu,Cathleen A. Geiger:
  Stereo Analysis of Low Textured Regions with Application Towards Sea-ice Reconstruction.IPCV2009:23-29
• 
  [c62]
  Scott Grauer-Gray,Chandra Kambhamettu:
  Hierarchical belief propagation to reduce search space using CUDA for stereo and motion estimation.WACV2009:1-8
• 
  [c61]
  M. V. Rohith,Gowri Somanath,Debra Hess Norris,Jennifer Jae Gutierrez,Chandra Kambhamettu:
  A camera flash based projector system for true scale metric reconstruction.WACV2009:1-8
• 
  [r1]
  Qi Li,Jieping Ye,Chandra Kambhamettu:
  Interest Pixel Mining.Encyclopedia of Data Warehousing and Mining2009:1091-1096
• 2008
• 
  [j17]
  Qi Li,Jieping Ye,Min Li,Chandra Kambhamettu:
  Adaptive Appearance Based Face Recognition.Int. J. Artif. Intell. Tools17(1):175-193 (2008)
• 
  [j16]
  Qi Li,Chandra Kambhamettu,Jieping Ye:
  An evaluation of identity representability of facial expressions using feature distributions.Neurocomputing71(10-12):1902-1912 (2008)
• 
  [j15]
  Wei Zhou,Chandra Kambhamettu:
  A unified framework for scene illuminant estimation.Image Vis. Comput.26(3):415-429 (2008)
• 
  [j14]
  Qi Li,Jieping Ye,Chandra Kambhamettu:
  Interest point detection using imbalance oriented selection.Pattern Recognit.41(2):672-688 (2008)
• 
  [c60]
  Yuanjie Zheng,Chandra Kambhamettu,Jingyi Yu,Thomas L. Bauer,Karl V. Steiner:
  FuzzyMatte: A computationally efficient scheme for interactive matting.CVPR2008
• 
  [c59]
  Yuanjie Zheng,Jingyi Yu,Sing Bing Kang,Stephen Lin,Chandra Kambhamettu:
  Single-image vignetting correction using radial gradient symmetry.CVPR2008
• 
  [c58]
  M. V. Rohith,Gowri Somanath,Chandra Kambhamettu,Cathleen A. Geiger:
  Towards estimation of dense disparities from stereo images containing large textureless regions.ICPR2008:1-5
• 
  [c57]
  Mani Thomas,Chandra Kambhamettu,Cathleen A. Geiger:
  Vector field resampling using local streamline approximation.ICPR2008:1-4
• 
  [c56]
  Mani Thomas,Chandra Kambhamettu,Senthil Kumar:
  Face Recognition Using a Color Subspace LDA Approach.ICTAI (1)2008:231-235
• 
  [c55]
  Mani Thomas,Senthil Kumar,Chandra Kambhamettu:
  Face Recognition Using a Color PCA Framework.ICVS2008:373-382
• 
  [c54]
  Yuanjie Zheng,Chandra Kambhamettu,Thomas L. Bauer,Karl V. Steiner:
  Estimation of Ground-Glass Opacity Measurement in CT Lung Images.MICCAI (2)2008:238-245
• 2007
• 
  [j13]
  Min Li,Chandra Kambhamettu,Maureen Stone:
  Nonrigid motion recovery for 3D surfaces.Image Vis. Comput.25(3):250-261 (2007)
• 
  [c53]
  Mani Thomas,Chandra Kambhamettu,Cathleen A. Geiger,J. Hutchings,Melanie Engram:
  Near-real time motion analysis for APLIS 2007: a systems modeling perspective.GIS2007:15
• 
  [c52]
  Yuanjie Zheng,Karl V. Steiner,Thomas L. Bauer,Jingyi Yu,Dinggang Shen,Chandra Kambhamettu:
  Lung Nodule Growth Analysis from 3D CT Data with a Coupled Segmentation and Registration Framework.ICCV2007:1-8
• 
  [c51]
  Yuanjie Zheng,Jingyi Yu,Chandra Kambhamettu,Sarah Englander,Mitchell D. Schnall,Dinggang Shen:
  De-enhancing the Dynamic Contrast-Enhanced Breast MRI for Robust Registration.MICCAI (1)2007:933-941
• 
  [c50]
  Mani Thomas,Cathleen A. Geiger,Chandra Kambhamettu:
  Vector field characterization in ERS-1 imagery of sea ice.WACV2007:23
• 2006
• 
  [j12]
  Qi Li,Jieping Ye,Chandra Kambhamettu:
  Spatial interest pixels (SIPs): useful low-level features of visual media data.Multim. Tools Appl.30(1):89-108 (2006)
• 
  [j11]
  Thitiwan Srinark,Chandra Kambhamettu:
  A framework for multiple snakes and its applications.Pattern Recognit.39(9):1555-1565 (2006)
• 
  [c49]
  Min Li,Chandra Kambhamettu,Maureen Stone:
  A Level Set Approach for Shape Recovery of Open Contours.ACCV (1)2006:601-611
• 
  [c48]
  Mani Thomas,S. K. Misra,Chandra Kambhamettu,J. T. Kirby:
  Dynamic Open Contours Using Particle Swarm Optimization with Application to Fluid Interface Extraction.ACCV (1)2006:643-652
• 
  [c47]
  Thitiwan Srinark,Chandra Kambhamettu,Maureen Stone:
  A Hierarchical Method for 3D Rigid Motion Estimation.ACCV (2)2006:791-800
• 
  [c46]
  Jieping Ye,Tao Xiong,Qi Li,Ravi Janardan,Jinbo Bi,Vladimir Cherkassky,Chandra Kambhamettu:
  Efficient model selection for regularized linear discriminant analysis.CIKM2006:532-539
• 
  [c45]
  Qi Li,Chandra Kambhamettu,Jieping Ye:
  Integrating Spatial and Discriminant Strength for Feature Selection and Linear Dimensionality Reduction.CVPR Workshops2006:21
• 
  [c44]
  Wei Zhou,Chandra Kambhamettu:
  Binocular Stereo Dense Matching in the Presence of Specular Reflections.CVPR (2)2006:2363-2370
• 
  [c43]
  Hui Kong,Xuchun Li,Jian-Gang Wang,Chandra Kambhamettu:
  Ensemble LDA for Face Recognition.ICB2006:166-172
• 
  [c42]
  Thitiwan Srinark,Chandra Kambhamettu:
  1265: An Approach for Spot Matching in 2-D Electrophoresis Gels.ICIP2006:1165-1168
• 
  [c41]
  Qi Li,Chandra Kambhamettu:
  Identity Representability of Facial Expressions: An Evaluation Using Feature Pixel Distributions.ICMLA2006:296-301
• 
  [c40]
  Mani Thomas,Chandra Kambhamettu:
  An Approximation to Mean-Shift via Swarm Intelligence.ICTAI2006:583-590
• 
  [c39]
  Qi Li,Jieping Ye,Min Li,Chandra Kambhamettu:
  Adaptive Appearance Based Face Recognition.ICTAI2006:677-684
• 2005
• 
  [c38]
  Hui Kong,Xuchun Li,Jian-Gang Wang,Eam Khwang Teoh,Chandra Kambhamettu:
  Discriminant Low-dimensional Subspace Analysis for Face Recognition with Small Number of Training Samples.BMVC2005
• 
  [c37]
  Hui Kong,Jian-Gang Wang,Eam Khwang Teoh,Chandra Kambhamettu:
  Generalized 2D Fisher Discriminant Analysis.BMVC2005
• 
  [c36]
  Yusuf Sinan Akgul,Chandra Kambhamettu:
  Acoustic Flow and Its Applications.ISCIS2005:646-655
• 2004
• 
  [c35]
  Min Li,Chandra Kambhamettu,Maureen Stone:
  A General Framework for 2D Multiframe and 3D Surface-to-surface Motion Estimation.BMVC2004:1-10
• 
  [c34]
  Wei Zhou,Chandra Kambhamettu:
  A Unified Framework for Scene Illuminant Estimation.BMVC2004:1-10
• 
  [c33]
  Min Li,Chandra Kambhamettu,Maureen Stone:
  Spline-based Motion Recovery for 3D Surfaces Using Nonrigid Shape Properties.CVPR Workshops2004:23
• 
  [c32]
  Mani Thomas,Cathleen A. Geiger,Chandra Kambhamettu:
  Discontinuous Non-Rigid Motion Analysis of Sea Ice using C-Band Synthetic Aperture Radar Satellite Imagery.CVPR Workshops2004:24
• 
  [c31]
  Qi Li,Jieping Ye,Chandra Kambhamettu:
  Linear Projection Methods in Face Recognition under Unconstrained Illuminations: A Comparative Study.CVPR (2)2004:474-481
• 
  [c30]
  Wei Zhou,Chandra Kambhamettu:
  Estimation of the Size and Location of Multiple Area Light Sources.ICPR (3)2004:214-217
• 2003
• 
  [j10]
  Chandra Kambhamettu,Dmitry B. Goldgof,Matthew He,Pavel Laskov:
  3D nonrigid motion analysis under small deformations.Image Vis. Comput.21(3):229-245 (2003)
• 
  [j9]
  Yusuf Sinan Akgul,Chandra Kambhamettu:
  A Coarse-to-Fine Deformable Contour Optimization Framework.IEEE Trans. Pattern Anal. Mach. Intell.25(2):174-186 (2003)
• 
  [j8]
  Pavel Laskov,Chandra Kambhamettu:
  Curvature-Based Algorithms for Nonrigid Motion and Correspondence Estimation.IEEE Trans. Pattern Anal. Mach. Intell.25(10):1349-1354 (2003)
• 
  [j7]
  Ye Zhang,Chandra Kambhamettu:
  On 3-D scene flow and structure recovery from multiview image sequences.IEEE Trans. Syst. Man Cybern. Part B33(4):592-606 (2003)
• 
  [c29]
  Thitiwan Srinark,Chandra Kambhamettu:
  A Novel Method for 3D Surface Mesh Segmentation.Computer Graphics and Imaging2003:212-217
• 
  [c28]
  Min Li,Chandra Kambhamettu,Maureen Stone:
  Snake for Band Edge Extraction and Its Applications.Computer Graphics and Imaging2003:261-266
• 
  [c27]
  Qi Li,Jieping Ye,Chandra Kambhamettu:
  Spatial Interest Pixels (SIPs): Useful Low-Level Features of Visual Media Data.ICDM2003:163-170
• 
  [c26]
  Qi Li,Chris Brown,Chandra Kambhamettu,Tao Li,Shenghuo Zhu:
  A Framework of Individually-Focused Teleconferencing (IFT) via an Efficient 3D Reprojection Technique.SAC2003:951-955
• 2002
• 
  [j6]
  Ye Zhang,Chandra Kambhamettu:
  3D head tracking under partial occlusion.Pattern Recognit.35(7):1545-1557 (2002)
• 
  [c25]
  Wei Zhou,Chandra Kambhamettu:
  Estimation of Illuminant Direction and Intensity of Multiple Light Sources.ECCV (4)2002:206-220
• 
  [c24]
  Ye Zhang,Chandra Kambhamettu:
  Stereo Matching with Segmentation-Based Cooperation.ECCV (2)2002:556-571
• 
  [c23]
  Qi Li,Tao Li,Shenghuo Zhu,Chandra Kambhamettu:
  Improving Medical/Biological Data Classification Performance by Wavelet Preprocessing.ICDM2002:657-660
• 
  [c22]
  Lin Zhou,Chandra Kambhamettu:
  Representing and Recognizing Complete Set of Geons Using Extended Superquadrics.ICPR (3)2002:713-718
• 
  [c21]
  Min Li,Chandra Kambhamettu:
  Motion-Based Post Processing of Deformable Contours.ICVGIP2002
• 2001
• 
  [j5]
  Lin Zhou,Chandra Kambhamettu:
  Extending Superquadrics with Exponent Functions: Modeling and Reconstruction.Graph. Model.63(1):1-20 (2001)
• 
  [j4]
  Lin Zhou,Chandra Kambhamettu,Dmitry B. Goldgof,Kannappan Palaniappan,Frederick Hasler:
  Tracking Nonrigid Motion and Structure from 2D Satellite Cloud Images without Correspondences.IEEE Trans. Pattern Anal. Mach. Intell.23(11):1330-1336 (2001)
• 
  [c20]
  Pavel Laskov,Chandra Kambhamettu:
  Comparison of 3D Algorithms for Non-rigid Motion and Correspondence Estimation.BMVC2001:1-10
• 
  [c19]
  Thitiwan Srinark,Chandra Kambhamettu:
  A Framework for Multiple Snakes.CVPR (2)2001:II:202-209
• 
  [c18]
  Ye Zhang,Chandra Kambhamettu:
  On 3D Scene Flow and Structure Estimation.CVPR (2)2001:II:778-785
• 2000
• 
  [c17]
  Ye Zhang,Chandra Kambhamettu:
  Integrated 3D Scene Flow and Structure Recovery from Multiview Image Sequences.CVPR2000:2674-2681
• 
  [c16]
  Lin Zhou,Chandra Kambhamettu,Dmitry B. Goldgof:
  Fluid Structure and Motion Analysis from Multi-spectrum 2D Cloud Image Sequences.CVPR2000:2744-2751
• 
  [c15]
  Lin Zhou,Chandra Kambhamettu:
  Hierarchical Structure and Nonrigid Motion Recovery from 2D Monocular Views.CVPR2000:2752-2759
• 
  [c14]
  Ye Zhang,Chandra Kambhamettu:
  Robust 3D Head Tracking Under Partial Occlusion.FG2000:176-182

• 1999
• 
  [j3]
  Yusuf Sinan Akgul,Chandra Kambhamettu,Maureen Stone:
  Automatic Extraction and Tracking of the Tongue Contours.IEEE Trans. Medical Imaging18(10):1035-1045 (1999)
• 
  [c13]
  Lin Zhou,Chandra Kambhamettu:
  Extending Superquadrics with Exponent Functions: Modeling and Reconstruction.CVPR1999:2073-2078
• 
  [c12]
  Lin Zhou,Chandra Kambhamettu,Dmitry B. Goldgof:
  Extracting Nonrigid Motion and 3D Structure of Hurricanes from Satellite Image Sequences without Correspondences.CVPR1999:2280-2285
• 
  [c11]
  Yusuf Sinan Akgul,Chandra Kambhamettu:
  A New Multi-Level Framework for Deformable Contour Optimization.CVPR1999:2465-2470
• 
  [c10]
  Yusuf Sinan Akgul,Chandra Kambhamettu:
  Recovery and Tracking of Continuous 3D Surfaces from Stereo Data using a Deformable Dual-Mesh.ICCV1999:765-772
• 
  [c9]
  Yusuf Sinan Akgul,Chandra Kambhamettu:
  A Scale-Space Based Approach for Deformable Contour Optimization.Scale-Space1999:410-422
• 1998
• 
  [c8]
  Yusuf Sinan Akgul,Chandra Kambhamettu,Maureen Stone:
  Extraction and Tracking of the Tongue Surface from Ultrasound Image Sequences.CVPR1998:298-303
• 
  [c7]
  Ramprasad Balasubramanian,Dmitry B. Goldgof,Chandra Kambhamettu:
  Tracking of Nonrigid Motion and 3D Structure from 2D Image Sequences without Correspondences.ICIP (1)1998:933-937
• 
  [c6]
  Yusuf Sinan Akgul,Chandra Kambhamettu,Maureen Stone:
  Analysis of the tongue surface movement using a spatiotemporally coherent deformable model.WACV1998:109-114
• 1996
• 
  [c5]
  Senthil Kumar,Chandra Kambhamettu,Dmitry B. Goldgof,Maha Sallam:
  Model based estimation of point correspondences between boundaries undergoing nonrigid motion [digital mammography application].ICIP (1)1996:359-362
• 
  [c4]
  Kannappan Palaniappan,Mohammad Faisal,Chandra Kambhamettu,A. Frederick Hasler:
  Implementation of an Automatic Semi-Fluid Motion Analysis Algorithm on a Massively Parallel Computer.IPPS1996:864-877
• 1995
• 
  [c3]
  Kannappan Palaniappan,Chandra Kambhamettu,Frederick Hasler,Dmitry B. Goldgof:
  Structure and Semi-Fluid Motion Analysis of Stereoscopic Satellite Images for Cloud Tracking.ICCV1995:659-665
• 1994
• 
  [j2]
  Sanjoy K. Mishra,Dmitry B. Goldgof,Chandra Kambhamettu:
  Estimating non-rigid motion from point and line correspondences.Pattern Recognit. Lett.15(6):559-566 (1994)
• 
  [c2]
  Chandra Kambhamettu,Dmitry B. Goldgof,Matthew He:
  Determination of motion parameters and estimation of point correspondences in small nonrigid deformations.CVPR1994:943-946
• 1992
• 
  [j1]
  Sanjoy K. Mishra,Chandra Kambhamettu,Dmitry B. Goldgof,Thomas S. Huang:
  Curvature-based nonrigid motion analysis from three-dimensional correspondences.Int. J. Imaging Syst. Technol.4(3):214-225 (1992)
• 
  [c1]
  Chandra Kambhamettu,Dmitry B. Goldgof:
  Point correspondence recovery in non-rigid motion.CVPR1992:222-227