2026 Charless C. Fowlkes: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	54	4421	4296	2065	1991	153	33199

Overview

Charless C. Fowlkes is affiliated with the University of California, Irvine in the United States. Their research primarily spans the field of Computer Science, with a particular emphasis on Computer Vision and Pattern Recognition as well as Artificial Intelligence. Additional areas of study include Endocrinology, Diabetes and Metabolism, Media Technology, and Molecular Biology.

The scientist's core research topics include:

Human Pose and Action Recognition
Advanced Vision and Imaging
Domain Adaptation and Few-Shot Learning
Advanced Neural Network Applications
Diabetic Foot Ulcer Assessment and Management
Anomaly Detection Techniques and Applications
Image Processing Techniques and Applications

Key recent publications by Charless C. Fowlkes demonstrate involvement in diverse applications and methodologies within vision and imaging sciences:

Three-dimensional morphology and gene expression in the Drosophila blastoderm at cellular resolution II: dynamics, 2023, OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
Improving the taxonomy of fossil pollen using convolutional neural networks and superresolution microscopy, 2020, Proceedings of the National Academy of Sciences
Task Adaptive Parameter Sharing for Multi-Task Learning, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Fine-grained facial expression analysis using dimensional emotion model, 2020, Neurocomputing
High-resolution structure-function mapping of intact hearts reveals altered sympathetic control of infarct border zones, 2022, JCI Insight

Charless C. Fowlkes has collaborated frequently with several researchers, including:

Shu Kong
Avinash Ravichandran
Stefano Soatto
Zhe Wang
Alessandro Achille

The scientist's work has been published multiple times in notable venues, including:

arXiv (Cornell University)
2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
Proceedings of the National Academy of Sciences
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Methods in Ecology and Evolution

Best Publications

A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics

D. Martin;C. Fowlkes;D. Tal;J. Malik

9236
Citations
Contour Detection and Hierarchical Image Segmentation

P Arbeláez;M Maire;C Fowlkes;J Malik

6437
Citations
Learning to detect natural image boundaries using local brightness, color, and texture cues

D.R. Martin;C.C. Fowlkes;J. Malik

3193
Citations
Spectral grouping using the Nystrom method

C. Fowlkes;S. Belongie;F. Chung;J. Malik

1840
Citations
Globally-optimal greedy algorithms for tracking a variable number of objects

Hamed Pirsiavash;Deva Ramanan;Charless C. Fowlkes

1027
Citations
Discriminative Models for Multi-Class Object Layout

Chaitanya Desai;Deva Ramanan;Charless C. Fowlkes

693
Citations
From contours to regions: An empirical evaluation

Pablo Arbelaez;Michael Maire;Charless Fowlkes;Jitendra Malik

621
Citations
Using contours to detect and localize junctions in natural images

M. Maire;P. Arbelaez;C. Fowlkes;J. Malik

584
Citations
Laplacian Pyramid Reconstruction and Refinement for Semantic Segmentation

Golnaz Ghiasi;Charless C. Fowlkes

530
Citations
Photo Aesthetics Ranking Network with Attributes and Content Adaptation

Shu Kong;Xiaohui Shen;Zhe L. Lin;Radomír Mech

495
Citations
Discriminative models for multi-class object layout

Chaitanya Desai;Deva Ramanan;Charless Fowlkes

418
Citations
Low-Rank Bilinear Pooling for Fine-Grained Classification

Shu Kong;Charless Fowlkes

387
Citations
A quantitative spatiotemporal atlas of gene expression in the Drosophila blastoderm.

Charless C. Fowlkes;Cris L. Luengo Hendriks;Cris L. Luengo Hendriks;Soile V.E. Keränen;Soile V.E. Keränen;Gunther H. Weber;Gunther H. Weber

322
Citations
Multiresolution models for object detection

Dennis Park;Deva Ramanan;Charless Fowlkes

308
Citations
Figure/Ground assignment in natural images

Xiaofeng Ren;Charless C. Fowlkes;Jitendra Malik

300
Citations
Do We Need More Training Data

Xiangxin Zhu;Carl Vondrick;Charless C. Fowlkes;Deva Ramanan

259
Citations
Do We Need More Training Data or Better Models for Object Detection

Xiangxin Zhu;Carl Vondrick;Deva Ramanan;Charless C. Fowlkes

235
Citations
Efficient spatiotemporal grouping using the Nystrom method

C. Fowlkes;S. Belongie;J. Malik

221
Citations
Local figure-ground cues are valid for natural images.

Charless C. Fowlkes;David R. Martin;Jitendra Malik

214
Citations
Occlusion Coherence: Localizing Occluded Faces with a Hierarchical Deformable Part Model

Golnaz Ghiasi;Charless C. Fowlkes

209
Citations
Task2Vec: Task Embedding for Meta-Learning

Alessandro Achille;Michael Lam;Rahul Tewari;Avinash Ravichandran

200
Citations
A Database of Human Segmented Natural Images and its Application to

David R. Martin;Charless Fowlkes;Doron Tal;Jitendra Malik

15
Citations
Feed-forward hierarchical model of the ventral visual stream applied to functional brain image classification

David B. Keator;James H. Fallon;Anita Lakatos;Charless C. Fowlkes

6
Citations

Frequent Co-Authors

Jitendra Malik University of California, Berkeley

Deva Ramanan Carnegie Mellon University

Mark D. Biggin Lawrence Berkeley National Laboratory

Bernd Hamann University of California, Davis

Michael B. Eisen University of California, Berkeley

Alexander T. Ihler University of California, Irvine

Xiaofeng Ren Alibaba Group (China)

Hans Hagen Technical University of Kaiserslautern

Serge Belongie University of Copenhagen

Ronald A. Li University of Hong Kong

External Links

Personal website of Charless C. Fowlkes Google Scholar page

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