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2020 – today
- 2024
[c173]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- [c172]Seyedalireza Khoshsirat, Chandra Kambhamettu:
Improving Normalization with the James-Stein Estimator. WACV 2024: 2030-2040 - [i9]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) - 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]