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2020 – today
- 2024
[c174]Shivanand Venkanna Sheshappanavar, Tejas Anvekar, Shivanand Kundargi, Yufan Wang, Chandra Kambhamettu:
A Benchmark Grocery Dataset of Realworld Point Clouds From Single View. 3DV 2024: 516-527- [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. WACV 2024: 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. CoRR abs/2402.07819 (2024) - [i9]Rohit Venkata Sai Dulam, Chandra Kambhamettu:
SODAWideNet++: Combining Attention and Convolutions for Salient Object Detection. CoRR abs/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 Workshops 2023: 2765-2774 - [c170]Seyedalireza Khoshsirat, Chandra Kambhamettu:
Sentence Attention Blocks for Answer Grounding. ICCV 2023: 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. CoRR abs/2309.08022 (2023) - [i7]Seyedalireza Khoshsirat, Chandra Kambhamettu:
Sentence Attention Blocks for Answer Grounding. CoRR abs/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. CoRR abs/2311.04828 (2023) - [i5]Seyedalireza Khoshsirat, Chandra Kambhamettu:
Improving Normalization with the James-Stein Estimator. CoRR abs/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. BMVC 2022: 497 - [c163]Vinit Veerendraveer Singh, Chandra Kambhamettu:
AIM: an Auto-Augmenter for Images and Meshes. CVPR 2022: 712-721 - [c162]Ashuta Bhattarai, Chandra Kambhamettu, Jing Jin:
Cu-Net: Towards Continuous Multi-Class Contour Detection for Retinal Layer Segmentation In Oct Images. ICIP 2022: 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. ICPR 2022: 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. MIPR 2022: 31-34 - [i4]Seyedalireza Khoshsirat, Chandra Kambhamettu:
Semantic Segmentation using Neural Ordinary Differential Equations. CoRR abs/2209.08667 (2022) - [i3]Shivanand Venkanna Sheshappanavar, Chandra Kambhamettu:
Local Neighborhood Features for 3D Classification. CoRR abs/2212.05140 (2022) - 2021
- [c156]Lauren Olson, Chandra Kambhamettu, Kathleen F. McCoy:
Towards Using Live Photos to Mitigate Image Quality Issues In VQA Photography. ASSETS 2021: 92:1-92:3 - [c155]Shivanand Venkanna Sheshappanavar, Vinit Veerendraveer Singh, Chandra Kambhamettu:
PatchAugment: Local Neighborhood Augmentation in Point Cloud Classification. ICCVW 2021: 2118-2127 - [c154]Vinit Veerendraveer Singh, Shivanand Venkanna Sheshappanavar, Chandra Kambhamettu:
Mesh Classification With Dilated Mesh Convolutions. ICIP 2021: 3138-3142 - [c153]Shivanand Venkanna Sheshappanavar, Chandra Kambhamettu:
Dynamic Local Geometry Capture in 3D Point Cloud Classification. MIPR 2021: 158-164 - [c152]Vinit Veerendraveer Singh, Shivanand Venkanna Sheshappanavar, Chandra Kambhamettu:
MeshNet++: A Network with a Face. ACM Multimedia 2021: 4883-4891 - 2020
- [c151]Shivanand Venkanna Sheshappanavar, Chandra Kambhamettu:
A Novel Local Geometry Capture in Pointnet++ for 3D Classification. CVPR Workshops 2020: 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. ICIP 2020: 2506-2510 - [c149]Vinit Veerendraveer Singh, Chandra Kambhamettu:
Feature Map Retargeting to Classify Biomedical Journal Figures. ISVC (2) 2020: 728-741
2010 – 2019
- 2019
- [c148]Vinit Veerendraveer Singh, Scott Sorensen, Chandra Kambhamettu:
cPSITRES: A collaborative system for analysis of Big Data on sea ice. IEEE BigData 2019: 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 Workshops 2019: 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 Workshops 2019: 125-133 - [c145]Wayne Treible, Philip Saponaro, Chandra Kambhamettu:
Wildcat: In-The-Wild Color-And-Thermal Patch Comparison with Deep Residual Pseudo-Siamese Networks. ICIP 2019: 1307-1311 - [c144]Philip Saponaro, Haoran Wei, Gregory Dominick, Chandra Kambhamettu:
Estimating Physical Activity Intensity And Energy Expenditure Using Computer Vision On Videos. ICIP 2019: 3631-3635 - [c143]Nikhil Gothankar, Chandra Kambhamettu, Paul Moser:
Circular Hough Transform Assisted CNN Based Vehicle Axle Detection and Classification. ICITE 2019: 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. Medicine 99: 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@MICCAI 2018: 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. 3DV 2017: 686-694 - [c139]Sherin M. Mathews, Chandra Kambhamettu, Kenneth E. Barner:
Centralized class specific dictionary learning for wearable sensors based physical activity recognition. CISS 2017: 1-6 - [c138]Pengyuan Li, Xiangying Jiang, Chandra Kambhamettu, Hagit Shatkay:
Segmenting Compound Biomedical Figures into Their Constituent Panels. CLEF 2017: 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. CVPR 2017: 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 Workshops 2017: 843-850 - [c135]Xiaolong Wang, Robert Li, Yin Zhou, Chandra Kambhamettu:
A Study of Convolutional Sparse Feature Learning for Human Age Estimate. FG 2017: 566-572 - [c134]Zhenzhu Zheng, Chandra Kambhamettu:
Multi-level Feature Learning for Face Recognition under Makeup Changes. FG 2017: 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. ICIP 2017: 3285-3289 - [c132]Guoyu Lu, Li Ren, Jeffrey Caplan, Chandra Kambhamettu:
Stromule branch tip detection based on accurate cell image segmentation. ICIP 2017: 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. CoRR abs/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. CoRR abs/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. Neurocomputing 173: 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. AIPR 2016: 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. BIBM 2016: 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. ICASSP 2016: 932-936 - [c125]Scott Sorensen, Wayne Treible, Chandra Kambhamettu:
Surface Stereo for Shallow Underwater Scenes. CVAUI@ICPR 2016: 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. BMVC 2015: 74.1-74.13 - [c121]Scott Sorensen, Philip Saponaro, Stephen Rhein, Chandra Kambhamettu:
Multimodal Stereo Vision For Reconstruction In The Presence Of Reflection. BMVC 2015: 112.1-112.12 - [c120]Sherin M. Mathews, Chandra Kambhamettu, Kenneth E. Barner:
"Am I your sibling?" Inferring kinship cues from facial image pairs. CISS 2015: 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. CVPR 2015: 4649-4656 - [c117]Xiaolong Wang, Guodong Guo, M. V. Rohith, Chandra Kambhamettu:
Leveraging geometry and appearance cues for recognizing family photos. FG 2015: 1-8 - [c116]Xiaolong Wang, Chandra Kambhamettu:
Age estimation via unsupervised neural networks. FG 2015: 1-6 - [c115]Xiaolong Wang, Chandra Kambhamettu:
A new approach for face recognition under makeup changes. GlobalSIP 2015: 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. ICCV 2015: 2434-2442 - [c113]Scott Sorensen, Abhishek Kolagunda, Philip Saponaro, Chandra Kambhamettu:
Refractive stereo ray tracing for reconstructing underwater structures. ICIP 2015: 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. ICIP 2015: 4451-4455 - [c111]Philip Saponaro, Scott Sorensen, Stephen Rhein, Chandra Kambhamettu:
Improving calibration of thermal stereo cameras using heated calibration board. ICIP 2015: 4718-4722 - [c110]Xiaolong Wang, Rui Guo, Chandra Kambhamettu:
Deeply-Learned Feature for Age Estimation. WACV 2015: 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. BMVC 2014 - [c108]Guoyu Lu, Chandra Kambhamettu:
Image-based indoor localization system based on 3D SfM model. Intelligent Robots and Computer Vision: Algorithms and Techniques 2014: 90250H - [c107]Guoyu Lu, Scott Sorensen, Chandra Kambhamettu:
Fast ice image retrieval based on a multilayer system. MOBMU 2014: 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. ICIP 2014: 1847-1851 - [c105]Xiaolong Wang, Chandra Kambhamettu:
Leveraging appearance and geometry for kinship verification. ICIP 2014: 5017-5021 - [c104]Xiaolong Wang, Vincent Ly, Scott Sorensen, Chandra Kambhamettu:
Dog breed classification via landmarks. ICIP 2014: 5237-5241 - [c103]Guoyu Lu, Vincent Ly, Chandra Kambhamettu:
Structure-from-Motion reconstruction based on weighted Hamming descriptors. IJCNN 2014: 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, Springer 2014, ISBN 978-3-319-14248-7 [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, Springer 2014, ISBN 978-3-319-14363-7 [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 Heritage 6(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. 3DV 2013: 9-16 - [c98]Philip Saponaro, Chandra Kambhamettu:
Towards Auto-calibration of Smart Phones Using Orientation Sensors. CVPR Workshops 2013: 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 Workshops 2013: 407-412 - [c96]Xiaolong Wang, Chandra Kambhamettu:
Gender classification of depth images based on shape and texture analysis. GlobalSIP 2013: 1077-1080 - [c95]M. V. Rohith, Scott Sorensen, Stephen Rhein, Chandra Kambhamettu:
Shape from stereo and shading by gradient constrained interpolation. ICIP 2013: 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. ISM 2013: 301-304 - [c92]Vincent Ly, Chandra Kambhamettu:
Mobile Scene Flow Synthesis. ISM 2013: 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. MoMM 2013: 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 Text 2012 - [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. BCB 2012: 98-104 - [c84]Gowri Somanath, Chandra Kambhamettu:
Can faces verify blood-relations? BTAS 2012: 105-112 - [c83]M. V. Rohith, Chandra Kambhamettu:
Augmenting monocular motion estimation using intermittent 3D models from depth sensors. ICPR 2012: 473-476 - [c82]Gowri Somanath, Chandra Kambhamettu:
Arrangement based image representation for scene recognition. ICPR 2012: 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? FG 2011: 206-212 - [c80]Gowri Somanath, M. V. Rohith, Chandra Kambhamettu:
VADANA: A dense dataset for facial image analysis. ICCV Workshops 2011: 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@MM 2011: 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. BTAS 2010: 1-7 - [c73]Gayathri Mahalingam, Chandra Kambhamettu:
Face verification with aging using AdaBoost and local binary patterns. ICVGIP 2010: 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
2000 – 2009
- 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 Special 1(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 Workshops 2009: 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 Workshops 2009: 101-108 - [c67]Yuanjie Zheng, Chandra Kambhamettu, Stephen Lin:
Single-image optical center estimation from vignetting and tangential gradient symmetry. CVPR 2009: 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. CVPR 2009: 2783-2789 - [c65]Yuanjie Zheng, Chandra Kambhamettu:
Learning based digital matting. ICCV 2009: 889-896 - [c64]Qi Li, Chandra Kambhamettu:
Contour Extraction of Drosophila Embryos. ICTAI 2009: 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. IPCV 2009: 23-29 - [c62]Scott Grauer-Gray, Chandra Kambhamettu:
Hierarchical belief propagation to reduce search space using CUDA for stereo and motion estimation. WACV 2009: 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. WACV 2009: 1-8 - [r1]Qi Li, Jieping Ye, Chandra Kambhamettu:
Interest Pixel Mining. Encyclopedia of Data Warehousing and Mining 2009: 1091-1096 - 2008
- [j17]Qi Li, Jieping Ye, Min Li, Chandra Kambhamettu:
Adaptive Appearance Based Face Recognition. Int. J. Artif. Intell. Tools 17(1): 175-193 (2008) - [j16]Qi Li, Chandra Kambhamettu, Jieping Ye:
An evaluation of identity representability of facial expressions using feature distributions. Neurocomputing 71(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. CVPR 2008 - [c59]Yuanjie Zheng, Jingyi Yu, Sing Bing Kang, Stephen Lin, Chandra Kambhamettu:
Single-image vignetting correction using radial gradient symmetry. CVPR 2008 - [c58]M. V. Rohith, Gowri Somanath, Chandra Kambhamettu, Cathleen A. Geiger:
Towards estimation of dense disparities from stereo images containing large textureless regions. ICPR 2008: 1-5 - [c57]Mani Thomas, Chandra Kambhamettu, Cathleen A. Geiger:
Vector field resampling using local streamline approximation. ICPR 2008: 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. ICVS 2008: 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, M. Engram:
Near-real time motion analysis for APLIS 2007: a systems modeling perspective. GIS 2007: 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. ICCV 2007: 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. WACV 2007: 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. CIKM 2006: 532-539 - [c45]Qi Li, Chandra Kambhamettu, Jieping Ye:
Integrating Spatial and Discriminant Strength for Feature Selection and Linear Dimensionality Reduction. CVPR Workshops 2006: 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. ICB 2006: 166-172 - [c42]Thitiwan Srinark, Chandra Kambhamettu:
1265: An Approach for Spot Matching in 2-D Electrophoresis Gels. ICIP 2006: 1165-1168 - [c41]Qi Li, Chandra Kambhamettu:
Identity Representability of Facial Expressions: An Evaluation Using Feature Pixel Distributions. ICMLA 2006: 296-301 - [c40]Mani Thomas, Chandra Kambhamettu:
An Approximation to Mean-Shift via Swarm Intelligence. ICTAI 2006: 583-590 - [c39]Qi Li, Jieping Ye, Min Li, Chandra Kambhamettu:
Adaptive Appearance Based Face Recognition. ICTAI 2006: 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. BMVC 2005 - [c37]Hui Kong, Jian-Gang Wang, Eam Khwang Teoh, Chandra Kambhamettu:
Generalized 2D Fisher Discriminant Analysis. BMVC 2005 - [c36]Yusuf Sinan Akgul, Chandra Kambhamettu:
Acoustic Flow and Its Applications. ISCIS 2005: 646-655 - 2004
- [c35]Min Li, Chandra Kambhamettu, Maureen Stone:
A General Framework for 2D Multiframe and 3D Surface-to-surface Motion Estimation. BMVC 2004: 1-10 - [c34]Wei Zhou, Chandra Kambhamettu:
A Unified Framework for Scene Illuminant Estimation. BMVC 2004: 1-10 - [c33]Min Li, Chandra Kambhamettu, Maureen Stone:
Spline-based Motion Recovery for 3D Surfaces Using Nonrigid Shape Properties. CVPR Workshops 2004: 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 Workshops 2004: 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 B 33(4): 592-606 (2003) - [c29]Thitiwan Srinark, Chandra Kambhamettu:
A Novel Method for 3D Surface Mesh Segmentation. Computer Graphics and Imaging 2003: 212-217 - [c28]Min Li, Chandra Kambhamettu, Maureen Stone:
Snake for Band Edge Extraction and Its Applications. Computer Graphics and Imaging 2003: 261-266 - [c27]Qi Li, Jieping Ye, Chandra Kambhamettu:
Spatial Interest Pixels (SIPs): Useful Low-Level Features of Visual Media Data. ICDM 2003: 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. SAC 2003: 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. ICDM 2002: 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. ICVGIP 2002 - 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. BMVC 2001: 1-10 - [c19]Thitiwan Srinark, Chandra Kambhamettu:
A Framework for Multiple Snakes. CVPR (2) 2001: 202-209 - [c18]Ye Zhang, Chandra Kambhamettu:
On 3D Scene Flow and Structure Estimation. CVPR (2) 2001: 778-785 - 2000
- [c17]Ye Zhang, Chandra Kambhamettu:
Integrated 3D Scene Flow and Structure Recovery from Multiview Image Sequences. CVPR 2000: 2674-2681 - [c16]Lin Zhou, Chandra Kambhamettu, Dmitry B. Goldgof:
Fluid Structure and Motion Analysis from Multi-spectrum 2D Cloud Image Sequences. CVPR 2000: 2744-2751 - [c15]Lin Zhou, Chandra Kambhamettu:
Hierarchical Structure and Nonrigid Motion Recovery from 2D Monocular Views. CVPR 2000: 2752-2759 - [c14]Ye Zhang, Chandra Kambhamettu:
Robust 3D Head Tracking Under Partial Occlusion. FG 2000: 176-182
1990 – 1999
- 1999
- [j3]Yusuf Sinan Akgul, Chandra Kambhamettu, Maureen Stone:
Automatic Extraction and Tracking of the Tongue Contours. IEEE Trans. Medical Imaging 18(10): 1035-1045 (1999) - [c13]Lin Zhou, Chandra Kambhamettu:
Extending Superquadrics with Exponent Functions: Modeling and Reconstruction. CVPR 1999: 2073-2078 - [c12]Lin Zhou, Chandra Kambhamettu, Dmitry B. Goldgof:
Extracting Nonrigid Motion and 3D Structure of Hurricanes from Satellite Image Sequences without Correspondences. CVPR 1999: 2280-2285 - [c11]Yusuf Sinan Akgul, Chandra Kambhamettu:
A New Multi-Level Framework for Deformable Contour Optimization. CVPR 1999: 2465-2470 - [c10]Yusuf Sinan Akgul, Chandra Kambhamettu:
Recovery and Tracking of Continuous 3D Surfaces from Stereo Data using a Deformable Dual-Mesh. ICCV 1999: 765-772 - [c9]Yusuf Sinan Akgul, Chandra Kambhamettu:
A Scale-Space Based Approach for Deformable Contour Optimization. Scale-Space 1999: 410-422 - 1998
- [c8]Yusuf Sinan Akgul, Chandra Kambhamettu, Maureen Stone:
Extraction and Tracking of the Tongue Surface from Ultrasound Image Sequences. CVPR 1998: 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. WACV 1998: 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. IPPS 1996: 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. ICCV 1995: 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. CVPR 1994: 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. CVPR 1992: 222-227
Coauthor Index
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