Chandra Kambhamettu

Chandra Kambhamettu

University of Delaware

H-index: 44

North America-United States

About Chandra Kambhamettu

Chandra Kambhamettu, With an exceptional h-index of 44 and a recent h-index of 20 (since 2020), a distinguished researcher at University of Delaware, specializes in the field of Computer Vision, Big Data Visual Analytics, Biomedical Image Analysis, Remote Sensing, Computer Graphics.

His recent articles reflect a diverse array of research interests and contributions to the field:

A Benchmark Grocery Dataset of Realworld Point Clouds From Single View

Improving normalization with the james-stein estimator

Embedding attention blocks for the vizwiz answer grounding challenge

Empowering visually impaired individuals: A novel use of apple live photos and android motion photos

A transformer-based neural ode for dense prediction

3DSAINT Representation for 3D Point Clouds

An examination of retinal OCT and brain MRI changes across sickle cell disease genotypes

Unsupervised learning of probabilistic subspaces for multi-spectral and multi-temporal image-based disaster mapping

Chandra Kambhamettu Information

University

Position

Professor of Computer Science and Director of Video/Image Modeling and Synthesis (VIMS) Lab

Citations(all)

6339

Citations(since 2020)

2091

Cited By

5166

hIndex(all)

44

hIndex(since 2020)

20

i10Index(all)

135

i10Index(since 2020)

55

Email

University Profile Page

University of Delaware

Google Scholar

View Google Scholar Profile

Chandra Kambhamettu Skills & Research Interests

Computer Vision

Big Data Visual Analytics

Biomedical Image Analysis

Remote Sensing

Computer Graphics

Top articles of Chandra Kambhamettu

Title

Journal

Author(s)

Publication Date

A Benchmark Grocery Dataset of Realworld Point Clouds From Single View

arXiv preprint arXiv:2402.07819

Shivanand Venkanna Sheshappanavar

Tejas Anvekar

Shivanand Kundargi

Yufan Wang

Chandra Kambhamettu

2024/2/12

Improving normalization with the james-stein estimator

Seyedalireza Khoshsirat

Chandra Kambhamettu

2024

Embedding attention blocks for the vizwiz answer grounding challenge

VizWiz Grand Challenge Workshop

Seyedalireza Khoshsirat

Chandra Kambhamettu

2023

Empowering visually impaired individuals: A novel use of apple live photos and android motion photos

arXiv preprint arXiv:2309.08022

Seyedalireza Khoshsirat

Chandra Kambhamettu

2023/9/14

A transformer-based neural ode for dense prediction

Machine Vision and Applications

Seyedalireza Khoshsirat

Chandra Kambhamettu

2023/11

3DSAINT Representation for 3D Point Clouds

Chandra Kambhamettu

2023

An examination of retinal OCT and brain MRI changes across sickle cell disease genotypes

Investigative Ophthalmology & Visual Science

Jing Jin

Vinay Kandula

Lauren Amoo

Robin Miller

Chandra Kambhamettu

...

2023/6/1

Unsupervised learning of probabilistic subspaces for multi-spectral and multi-temporal image-based disaster mapping

Machine Vision and Applications

A. Okorie

C. Kambhamettu

S Makrogiannnis

2023/9

ConvSegFormer-A Convolution Aided SegFormer Architecture for Detection of Discontinuities in Wrapped Interferometric Phase Imagery of Sea Ice

Rohit Venkata Sai Dulam

Emily R Fedders

Andrew R Mahoney

Chandra Kambhamettu

2023/4/18

Edge-Guided Image Inpainting with Transformer

Huining Liang

Chandra Kambhamettu

2023/10/16

Local neighborhood features for 3d classification

Shivanand Venkanna Sheshappanavar

Chandra Kambhamettu

2023/4/18

SODAWideNet-Salient Object Detection with an Attention Augmented Wide Encoder Decoder Network Without ImageNet Pre-training

Rohit Venkata Sai Dulam

Chandra Kambhamettu

2023/10/16

Sentence attention blocks for answer grounding

Seyedalireza Khoshsirat

Chandra Kambhamettu

2023

Pick and Trace: Instance Segmentation for Filamentous Objects with a Recurrent Neural Network

Yi Liu

Su Peng

Jeffrey Caplan

Chandra Kambhamettu

2023/10/1

Deep Learning-Based Sea Ice Lead Detection from WorldView and Sentinel SAR Imagery

Rohit Venkata Sai Dulam

Kelsey Kaplan

Chandra Kambhamettu

2022/8/21

Extraction and Quantification of Actin Cytoskeleton in Microscopic Images Using a Deep Learning Based Framework and a Curve Clustering Model

Yi Liu

Jeffrey Caplan

Chandra Kambhamettu

2022/8/21

Synthetic data for semantic segmentation in underwater imagery

Michael Pergeorelis

Maxim Bazik

Philip Saponaro

Joong Kim

Chandra Kambhamettu

2022/10/17

Simpleview++: Neighborhood views for point cloud classification

Shivan Venkanna Sheshappanavar

Chandra Kambhamettu

2022/8/2

Cu-Net: Towards Continuous Multi-Class Contour Detection for Retinal Layer Segmentation In Oct Images

Ashuta Bhattarai

Chandra Kambhamettu

Jing Jin

2022/10/16

A deep learning system for sickle cell retinopathy detection using retinal OCT images from children with sickle cell disease

Investigative Ophthalmology & Visual Science

Jing Jin

Ashuta Bhattarai

Robin Miller

Edward Kolb

Chandra Kambhamettu

2022/6/1

See List of Professors in Chandra Kambhamettu University(University of Delaware)