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Computer Science

D-Index
38
Citations
5635
World Ranking
10306
National Ranking
4321

Overview

Chandra Kambhamettu is affiliated with the University of Delaware in the United States. Their research spans multiple fields, primarily focusing on computer science, earth and planetary sciences, and engineering. Within these fields, their work particularly concentrates on subfields such as computer vision and pattern recognition, artificial intelligence, atmospheric science, media technology, and statistical and nonlinear physics.

Their research topics cover a variety of areas including advanced neural network applications, domain adaptation and few-shot learning, arctic and antarctic ice dynamics, visual attention and saliency detection, 3D shape modeling and analysis, climate change and permafrost, and model reduction and neural networks.

Chandra Kambhamettu has published extensively in several venues, most notably:

  • arXiv (Cornell University)
  • Machine Vision and Applications
  • New Phytologist
  • OCEANS 2022, Hampton Roads
  • 2022 IEEE International Conference on Image Processing (ICIP)

Some of their recent publications include:

  • <scp>CHUP1</scp> restricts chloroplast movement and effector-triggered immunity in epidermal cells, 2024, New Phytologist
  • A transformer-based neural ODE for dense prediction, 2023, Machine Vision and Applications
  • Synthetic Data for Semantic Segmentation in Underwater Imagery, 2022, OCEANS 2022, Hampton Roads
  • Cu-Net: Towards Continuous Multi-Class Contour Detection for Retinal Layer Segmentation In Oct Images, 2022, 2022 IEEE International Conference on Image Processing (ICIP)
  • The polar sea ice topography reconstruction system, 2020, Annals of Glaciology

Frequent coauthors of Chandra Kambhamettu include:

  • Rohit Venkata Sai Dulam
  • Seyedalireza Khoshsirat
  • Jeffrey L. Caplan
  • Shivanand Venkanna Sheshappanavar
  • Huining Liang

Best Publications

  • Automatic contour tracking in ultrasound images

    Min Li;Chandra Kambhamettu;Maureen Stone

  • A novel application of deep learning for single-lead ECG classification.

    Sherin M. Mathews;Sherin M. Mathews;Chandra Kambhamettu;Kenneth E. Barner

  • Deeply-Learned Feature for Age Estimation

    Xiaolong Wang;Rui Guo;Chandra Kambhamettu

  • Learning based digital matting

    Yuanjie Zheng;Chandra Kambhamettu

  • Single-Image Vignetting Correction

    Yuanjie Zheng;S. Lin;C. Kambhamettu;Jingyi Yu

  • Automatic extraction and tracking of the tongue contours

    Y.S. Akgul;C. Kambhamettu;M. Stone

  • On 3D scene flow and structure estimation

    Ye Zhang;C. Kambhamettu

  • Single-image vignetting correction using radial gradient symmetry

    Yuanjie Zheng;Jingyi Yu;Sing Bing Kang;S. Lin

  • Integrated 3D scene flow and structure recovery from multiview image sequences

    Y. Zhang;C. Kambhamettu

  • Stereo Matching with Segmentation-Based Cooperation

    Ye Zhang;Chandra Kambhamettu

  • Nonrigid motion analysis

    Chandra Kambhamettu;Dmitry B. Goldgof;Demetri Terzopoulos;Thomas S. Huang

  • Point correspondence recovery in non-rigid motion

    C. Kambhamettu;D.B. Goldgof

  • Estimation of Illuminant Direction and Intensity of Multiple Light Sources

    Wei Zhou;Chandra Kambhamettu

  • Extraction and tracking of the tongue surface from ultrasound image sequences

    Y.S. Akgul;C. Kambhamettu;M. Stone

  • Curvature-based approach to point correspondence recovery in conformal nonrigid motion

    Chandra Kambhamettu;Dmitry B. Goldgof

  • Where am I in the dark

    Guoyu Lu;Yan Yan;Li Ren;Philip Saponaro

  • Fluid structure and motion analysis from multi-spectrum 2D cloud image sequences

    L. Zhou;C. Kambhamettu;D.B. Goldgof

  • Tracking nonrigid motion and structure from 2D satellite cloud images without correspondences

    Lin Zhou;C. Kambhamettu;D.B. Goldgof;K. Palaniappan

  • Efficient model selection for regularized linear discriminant analysis

    Jieping Ye;Tao Xiong;Qi Li;Ravi Janardan

  • Comparison of speech production in upright and supine position

    M. Stone;G. Stock;K. Bunin;K. Kumar

  • High resolution (400 m) motion characterization of sea ice using ERS-1 SAR imagery

    M. Thomas;C.A. Geiger;C. Kambhamettu

Frequent Co-Authors

Xiaolong Wang
Xiaolong Wang University of California, San Diego
Dmitry B. Goldgof
Dmitry B. Goldgof University of South Florida
Yuanjie Zheng
Yuanjie Zheng Shandong Normal University
Jieping Ye
Jieping Ye Alibaba Group (China)
Hajo Eicken
Hajo Eicken Alfred Wegener Institute for Polar and Marine Research
Kannappan Palaniappan
Kannappan Palaniappan University of Missouri
James T. Kirby
James T. Kirby University of Delaware
Yan Yan
Yan Yan Illinois Institute of Technology
Nicu Sebe
Nicu Sebe University of Trento
Jingyi Yu
Jingyi Yu ShanghaiTech University

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