World's Best Scientists 2026 revealed!

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Computer Science

D-Index
49
Citations
11394
World Ranking
5820
National Ranking
2647

Electronics and Electrical Engineering

D-Index
45
Citations
10832
World Ranking
3481
National Ranking
1285

Research.com Recognitions

  • 2008 - IEEE Fellow For contributions to image and video compression and wireless communications

Overview

Pamela C. Cosman is affiliated with the University of California, San Diego in the United States. Their research spans both computer science and medicine, with a predominant focus on computer vision and pattern recognition.

Their work covers several subfields, including:

  • Computer Vision and Pattern Recognition
  • Epidemiology
  • Cognitive Neuroscience
  • Human-Computer Interaction
  • Gender Studies

The main research topics addressed in Pamela C. Cosman's publications include:

  • Image and Video Quality Assessment
  • Autism Spectrum Disorder Research
  • Gaze Tracking and Assistive Technology
  • Ophthalmology and Visual Impairment Studies
  • Visual Attention and Saliency Detection
  • Advanced Image Processing Techniques
  • Gender Diversity and Inequality

Selected recent papers from Pamela C. Cosman include:

  • MMMNet: An End-to-End Multi-Task Deep Convolution Neural Network With Multi-Scale and Multi-Hierarchy Fusion for Blind Image Quality Assessment, 2021, IEEE Transactions on Circuits and Systems for Video Technology
  • Visual Quality of Compressed Mesh and Point Cloud Sequences, 2020, IEEE Access
  • Human-Machine Interaction-Oriented Image Coding for Resource-Constrained Visual Monitoring in IoT, 2022, IEEE Internet of Things Journal
  • Can rubrics combat gender bias in faculty hiring?, 2022, Science
  • Subcarrier Mapping for Underwater Video Transmission Over OFDM, 2021, IEEE Journal of Oceanic Engineering

The venues where Pamela C. Cosman has frequently published are:

  • arXiv (Cornell University)
  • IEEE Access
  • IEEE Transactions on Neural Systems and Rehabilitation Engineering
  • 2021 29th European Signal Processing Conference (EUSIPCO)
  • PLoS ONE

Frequent co-authors collaborating with Pamela C. Cosman include:

  • Sujit Dey
  • Leanne Chukoskie
  • Fan Li
  • Ronald A. Schachar
  • Ira H. Schachar

In 2008, Pamela C. Cosman was recognized as an IEEE Fellow for contributions to image and video compression and wireless communications.

Best Publications

  • Underwater Image Restoration Based on Image Blurriness and Light Absorption

    Yan-Tsung Peng;Pamela C. Cosman

  • Generalization of the Dark Channel Prior for Single Image Restoration

    Yan-Tsung Peng;Keming Cao;Pamela C. Cosman

  • End-to-end differentiation of congestion and wireless losses

    Song Cen;Pamela C. Cosman;Geoffrey M. Voelker

  • Performance Analysis of $n$ -Channel Symmetric FEC-Based Multiple Description Coding for OFDM Networks

    Seok-Ho Chang;P C Cosman;L B Milstein

  • Human Body Model Acquisition and Tracking Using Voxel Data

    Ivana Mikić;Mohan Trivedi;Edward Hunter;Pamela Cosman

  • Evaluating quality of compressed medical images: SNR, subjective rating, and diagnostic accuracy

    P.C. Cosman;R.M. Gray;R.A. Olshen

  • Moving shadow and object detection in traffic scenes

    I. Mikic;P.C. Cosman;G.T. Kogut;M.M. Trivedi

  • Vector quantization of image subbands: a survey

    P.C. Cosman;R.M. Gray;M. Vetterli

  • Robust wavelet zerotree image compression with fixed-length packetization

    J.K. Rogers;P.C. Cosman

  • Automatic tracking, feature extraction and classification of C. elegans phenotypes

    Wei Geng;P. Cosman;C.C. Berry;Zhaoyang Feng

  • Modeling packet-loss visibility in MPEG-2 video

    S. Kanumuri;P.C. Cosman;A.R. Reibman;V.A. Vaishampayan

  • Using vector quantization for image processing

    P.C. Cosman;K.L. Oehler;E.A. Riskin;R.M. Gray

  • Using machine vision to analyze and classify Caenorhabditis elegans behavioral phenotypes quantitatively

    Joong Hwan Baek;Pamela Cosman;Zhaoyang John Feng;Jay Silver

  • Single underwater image enhancement using depth estimation based on blurriness

    Yan-Tsung Peng;Xiangyun Zhao;Pamela C. Cosman

  • Statistical channel knowledge-based optimum power allocation for relaying protocols in the high SNR regime

    R. Annavajjala;P.C. Cosman;L.B. Milstein

  • Articulated body posture estimation from multi-camera voxel data

    I. Mikic;M. Trivedi;E. Hunter;P. Cosman

  • Chernoff-Type Bounds for the Gaussian Error Function

    Seok-Ho Chang;P. C. Cosman;L. B. Milstein

  • Combined forward error control and packetized zerotree wavelet encoding for transmission of images over varying channels

    P.C. Cosman;J.K. Rogers;P.G. Sherwood;K. Zeger

  • Universal lossless compression via multilevel pattern matching

    J.C. Kieffer;En-Hui Yang;G.J. Nelson;P. Cosman

  • Medical image compression with lossless regions of interest

    Jacob Ström;Pamela C. Cosman

Frequent Co-Authors

L.B. Milstein
L.B. Milstein University of California, San Diego
Robert M. Gray
Robert M. Gray Stanford University
William R Schafer
William R Schafer MRC Laboratory of Molecular Biology
Eve A. Riskin
Eve A. Riskin University of Washington
Amy R. Reibman
Amy R. Reibman Purdue University West Lafayette
Andrew D. Chisholm
Andrew D. Chisholm University of California, San Diego
Geoffrey M. Voelker
Geoffrey M. Voelker University of California, San Diego
Kenneth Zeger
Kenneth Zeger University of California, San Diego
Mohan M. Trivedi
Mohan M. Trivedi University of California, San Diego
Li-Chun Wang
Li-Chun Wang National Yang Ming Chiao Tung University

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