Chandra Kambhamettu

ORCID

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 69

Top Venues

Publications

Shivanand Venkanna Sheshappanavar, Tejas Anvekar, Shivanand Kundargi, Yufan Wang, Chandra Kambhamettu
A Benchmark Grocery Dataset of Realworld Point Clouds From Single View. 3DV (2024)
Shivanand Venkanna Sheshappanavar, Tejas Anvekar, Shivanand Kundargi, Yufan Wang, Chandra Kambhamettu
A Benchmark Grocery Dataset of Realworld Point Clouds From Single View. CoRR (2024)
Seyedalireza Khoshsirat, Chandra Kambhamettu
Improving Normalization with the James-Stein Estimator. WACV (2024)
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) (2023)
Seyedalireza Khoshsirat, Chandra Kambhamettu
A transformer-based neural ODE for dense prediction. Mach. Vis. Appl. 34 (6) (2023)
Seyedalireza Khoshsirat, Chandra Kambhamettu
Improving Normalization with the James-Stein Estimator. CoRR (2023)
Seyedalireza Khoshsirat, Chandra Kambhamettu
Empowering Visually Impaired Individuals: A Novel Use of Apple Live Photos and Android Motion Photos. CoRR (2023)
Huining Liang, Chandra Kambhamettu
Edge-Guided Image Inpainting with Transformer. ISVC (2) (2023)
Chandra Kambhamettu
3DSAINT Representation for 3D Point Clouds. CVPR Workshops (2023)
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)
Rohit Venkata Sai Dulam, Chandra Kambhamettu
SODAWideNet - Salient Object Detection with an Attention augmented Wide Encoder Decoder network without ImageNet pre-training. CoRR (2023)
Shivanand Venkanna Sheshappanavar, Chandra Kambhamettu
Local Neighborhood Features for 3D Classification. SCIA (1) (2023)
Seyedalireza Khoshsirat, Chandra Kambhamettu
Sentence Attention Blocks for Answer Grounding. CoRR (2023)
Seyedalireza Khoshsirat, Chandra Kambhamettu
Sentence Attention Blocks for Answer Grounding. ICCV (2023)
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)
Yi Liu, Su Peng, Jeffrey Caplan, Chandra Kambhamettu
Pick and Trace: Instance Segmentation for Filamentous Objects with a Recurrent Neural Network. MICCAI (8) (2023)
Ashuta Bhattarai, Chandra Kambhamettu, Jing Jin
Cu-Net: Towards Continuous Multi-Class Contour Detection for Retinal Layer Segmentation In Oct Images. ICIP (2022)
Shivanand Venkanna Sheshappanavar, Chandra Kambhamettu
Local Neighborhood Features for 3D Classification. CoRR (2022)
Vinit Veerendraveer Singh, Chandra Kambhamettu
Classification of Biomedical Journal Images using Retargeting-Based Data Augmentation and Visually Explainable Attention Priors. BMVC (2022)
Shivanand Venkanna Sheshappanavar, Chandra Kambhamettu
SimpleView++: Neighborhood Views for Point Cloud Classification. MIPR (2022)
Yi Liu, Jeffrey Caplan, Chandra Kambhamettu
Extraction and Quantification of Actin Cytoskeleton in Microscopic Images Using a Deep Learning Based Framework and a Curve Clustering Model. ICPR (2022)
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)
Vinit Veerendraveer Singh, Chandra Kambhamettu
AIM: an Auto-Augmenter for Images and Meshes. CVPR (2022)
Seyedalireza Khoshsirat, Chandra Kambhamettu
Semantic Segmentation Using Neural Ordinary Differential Equations. ISVC (1) (2022)
Kelsey Kaplan, Chandra Kambhamettu
A Novel Methodology for High Resolution Sea Ice Motion Estimation. ICPR Workshops (3) (2022)
Seyedalireza Khoshsirat, Chandra Kambhamettu
Semantic Segmentation using Neural Ordinary Differential Equations. CoRR (2022)
Vinit Veerendraveer Singh, Shivanand Venkanna Sheshappanavar, Chandra Kambhamettu
MeshNet++: A Network with a Face. ACM Multimedia (2021)
Lauren Olson, Chandra Kambhamettu, Kathleen McCoy
Towards Using Live Photos to Mitigate Image Quality Issues In VQA Photography. ASSETS (2021)
Shivanand Venkanna Sheshappanavar, Chandra Kambhamettu
Dynamic Local Geometry Capture in 3D Point Cloud Classification. MIPR (2021)
Shivanand Venkanna Sheshappanavar, Vinit Veerendraveer Singh, Chandra Kambhamettu
PatchAugment: Local Neighborhood Augmentation in Point Cloud Classification. ICCVW (2021)
Vinit Veerendraveer Singh, Shivanand Venkanna Sheshappanavar, Chandra Kambhamettu
Mesh Classification With Dilated Mesh Convolutions. ICIP (2021)
Vinit Veerendraveer Singh, Chandra Kambhamettu
Feature Map Retargeting to Classify Biomedical Journal Figures. ISVC (2) (2020)
Shivanand Venkanna Sheshappanavar, Chandra Kambhamettu
A Novel Local Geometry Capture in Pointnet++ for 3D Classification. CVPR Workshops (2020)
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)
Wayne Treible, Philip Saponaro, Yi Liu, Agnijit Das Gupta, Vinit Veerendraveer, Scott Sorensen, Chandra Kambhamettu
CATS 2: Color And Thermal Stereo Scenes with Semantic Labels. CVPR Workshops (2019)
Nikhil Gothankar, Chandra Kambhamettu, Paul Moser
Circular Hough Transform Assisted CNN Based Vehicle Axle Detection and Classification. ICITE (2019)
Vinit Veerendraveer Singh, Scott Sorensen, Chandra Kambhamettu
cPSITRES: A collaborative system for analysis of Big Data on sea ice. IEEE BigData (2019)
Philip Saponaro, Haoran Wei, Gregory Dominick, Chandra Kambhamettu
Estimating Physical Activity Intensity And Energy Expenditure Using Computer Vision On Videos. ICIP (2019)
Wayne Treible, Philip Saponaro, Chandra Kambhamettu
Wildcat: In-The-Wild Color-And-Thermal Patch Comparison with Deep Residual Pseudo-Siamese Networks. ICIP (2019)
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)
Sherin M. Mathews, Chandra Kambhamettu, Kenneth E. Barner
A novel application of deep learning for single-lead ECG classification. Comput. Biol. Medicine 99 (2018)
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)
Pengyuan Li, Xiangying Jiang, Chandra Kambhamettu, Hagit Shatkay
Compound image segmentation of published biomedical figures. Bioinform. 34 (7) (2018)
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)
Pengyuan Li, Xiangying Jiang, Chandra Kambhamettu, Hagit Shatkay
Segmenting Compound Biomedical Figures into Their Constituent Panels. CLEF (2017)
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)
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 (2017)
Abhishek Kolagunda, Scott Sorensen, Philip Saponaro, Wayne Treible, Chandra Kambhamettu, Kelly D. Sherbondy
Fuzzy Correspondences for Robust Shape Registration. 3DV (2017)
Zhenzhu Zheng, Chandra Kambhamettu
Multi-level Feature Learning for Face Recognition under Makeup Changes. FG (2017)
Sherin M. Mathews, Chandra Kambhamettu, Kenneth E. Barner
Centralized class specific dictionary learning for wearable sensors based physical activity recognition. CISS (2017)
Philip Saponaro, Wayne Treible, Abhishek Kolagunda, Stephen Rhein, Jeffrey Caplan, Chandra Kambhamettu, Randall Wisser
Three-dimensional segmentation of vesicular networks of fungal hyphae in macroscopic microscopy image stacks. ICIP (2017)
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)
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 (2017)
Abhishek Kolagunda, Scott Sorensen, Philip Saponaro, Wayne Treible, Chandra Kambhamettu
Robust Shape Registration using Fuzzy Correspondences. CoRR (2017)
Guoyu Lu, Yan Yan, Nicu Sebe, Chandra Kambhamettu
Indoor localization via multi-view images and videos. Comput. Vis. Image Underst. 161 (2017)
Guoyu Lu, Liqiang Nie, Scott Sorensen, Chandra Kambhamettu
Large-Scale Tracking for Images With Few Textures. IEEE Trans. Multim. 19 (9) (2017)
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)
Xiaolong Wang, Robert Li, Yin Zhou, Chandra Kambhamettu
A Study of Convolutional Sparse Feature Learning for Human Age Estimate. FG (2017)
Guoyu Lu, Li Ren, Jeffrey Caplan, Chandra Kambhamettu
Stromule branch tip detection based on accurate cell image segmentation. ICIP (2017)
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)
Scott Sorensen, Wayne Treible, Chandra Kambhamettu
Surface Stereo for Shallow Underwater Scenes. CVAUI@ICPR (2016)
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)
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 (2016)
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)
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 (2016)
Scott Sorensen, Zachary Ladin, Chandra Kambhamettu
Rapid development of scientific virtual reality applications. AIPR (2016)
Guoyu Lu, Yan Yan, Abhishek Kolagunda, Chandra Kambhamettu
A Fast 3D Indoor-Localization Approach Based on Video Queries. MMM (2) (2016)
Guoyu Lu, Li Ren, Abhishek Kolagunda, Chandra Kambhamettu
Neural network shape: Organ shape representation with radial basis function neural networks. ICASSP (2016)
Sherin M. Mathews, Chandra Kambhamettu, Kenneth E. Barner
Maximum Correntropy Based Dictionary Learning Framework for Physical Activity Recognition Using Wearable Sensors. ISVC (2) (2016)
Sherin M. Mathews, Chandra Kambhamettu, Kenneth E. Barner
"Am I your sibling?" Inferring kinship cues from facial image pairs. CISS (2015)
Xiaolong Wang, Chandra Kambhamettu
Age estimation via unsupervised neural networks. FG (2015)
Scott Sorensen, Philip Saponaro, Stephen Rhein, Chandra Kambhamettu
Multimodal Stereo Vision For Reconstruction In The Presence Of Reflection. BMVC (2015)
Scott Sorensen, Abhishek Kolagunda, Philip Saponaro, Chandra Kambhamettu
Refractive stereo ray tracing for reconstructing underwater structures. ICIP (2015)
Xiaolong Wang, Chandra Kambhamettu
A new approach for face recognition under makeup changes. GlobalSIP (2015)
Guoyu Lu, Nicu Sebe, Congfu Xu, Chandra Kambhamettu
Memory efficient large-scale image-based localization. Multim. Tools Appl. 74 (2) (2015)
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)
Xiaolong Wang, Guodong Guo, M. V. Rohith, Chandra Kambhamettu
Leveraging geometry and appearance cues for recognizing family photos. FG (2015)
Guoyu Lu, Yan Yan, Li Ren, Jingkuan Song, Nicu Sebe, Chandra Kambhamettu
Localize Me Anywhere, Anytime: A Multi-task Point-Retrieval Approach. ICCV (2015)
Philip Saponaro, Scott Sorensen, Abhishek Kolagunda, Chandra Kambhamettu
Material classification with thermal imagery. CVPR (2015)
Abhishek Kolagunda, Guoyu Lu, Chandra Kambhamettu
Hierarchical Hybrid Shape Representation for Medical Shapes. BMVC (2015)
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)
Xiaolong Wang, Rui Guo, Chandra Kambhamettu
Deeply-Learned Feature for Age Estimation. WACV (2015)
Philip Saponaro, Scott Sorensen, Stephen Rhein, Chandra Kambhamettu
Improving calibration of thermal stereo cameras using heated calibration board. ICIP (2015)
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)
Guoyu Lu, Vincent Ly, Chandra Kambhamettu
Structure-from-Motion reconstruction based on weighted Hamming descriptors. IJCNN (2014)
Xiaolong Wang, Chandra Kambhamettu
Leveraging appearance and geometry for kinship verification. ICIP (2014)
Guoyu Lu, Yingjie Hu, Chandra Kambhamettu
Weighted SIFT Feature Learning with Hamming Distance for Face Recognition. VISAPP (2) (2014)
Guoyu Lu, Chandra Kambhamettu
Image-based indoor localization system based on 3D SfM model. Intelligent Robots and Computer Vision: Algorithms and Techniques (2014)
Xiaolong Wang, Vincent Ly, Rui Guo, Chandra Kambhamettu
2D-3D Face Recognition via Restricted Boltzmann Machines. VISAPP (2) (2014)
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)
Xiaolong Wang, Vincent Ly, Scott Sorensen, Chandra Kambhamettu
Dog breed classification via landmarks. ICIP (2014)
Guoyu Lu, Scott Sorensen, Chandra Kambhamettu
Fast ice image retrieval based on a multilayer system. MOBMU (2014)
Philip Saponaro, Kelly D. Sherbondy, Chandra Kambhamettu
Concealed Target Detection with Fusion of Visible and Infrared. ISVC (2) (2014)
Guoyu Lu, Vincent Ly, Haoquan Shen, Abhishek Kolagunda, Chandra Kambhamettu
Improving Image-Based Localization through Increasing Correct Feature Correspondences. ISVC (1) (2013)
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)
Vincent Ly, Chandra Kambhamettu
Mobile Scene Flow Synthesis. ISM (2013)
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) (2013)
M. V. Rohith, Scott Sorensen, Stephen Rhein, Chandra Kambhamettu
Shape from stereo and shading by gradient constrained interpolation. ICIP (2013)
Gowri Somanath, Scott Cohen, Brian L. Price, Chandra Kambhamettu
Stereo+Kinect for High Resolution Stereo Correspondences. 3DV (2013)
Philip Saponaro, Chandra Kambhamettu
Towards Auto-calibration of Smart Phones Using Orientation Sensors. CVPR Workshops (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Chandra Kambhamettu