2026 Larry S. Davis: 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	135	87	84	54	52	746	83590

Larry S. Davis publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Larry S. Davis sits on this spectrum.

32 publications 991+

This scientist: 746 publications — 98th percentile

98% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Larry S. Davis D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Larry S. Davis sits on this spectrum.

30 D-Index 131+

This scientist: 135 D-Index — 99th percentile

99% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

2026 - Research.com Computer Science in United States Leader Award
2025 - Research.com Computer Science in United States Leader Award
2023 - Research.com Computer Science in United States Leader Award
2022 - Research.com Computer Science in United States Leader Award
2012 - ACM Fellow For contributions to image processing and computer vision.
2002 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to computer vision and image understanding.
1998 - IEEE Fellow For contributions to computer vision, image processing and high performance computing.

Overview

Larry S. Davis is affiliated with the University of Maryland, College Park in the United States. Their research primarily falls within the domain of Computer Science, with a strong focus on Computer Vision and Pattern Recognition. Over their career, they have contributed to 146 publications in this field, including notable work in Artificial Intelligence and Computational Mechanics.

The primary subfields of study for Larry S. Davis include:

Computer Vision and Pattern Recognition
Artificial Intelligence
Computational Mechanics
Signal Processing
Aerospace Engineering

Their work spans several main topics, among which are:

Multimodal Machine Learning Applications
Domain Adaptation and Few-Shot Learning
Human Pose and Action Recognition
Generative Adversarial Networks and Image Synthesis
Advanced Neural Network Applications
Advanced Image and Video Retrieval Techniques
Adversarial Robustness in Machine Learning

Larry S. Davis has frequently published in venues such as:

arXiv (Cornell University)
2021 IEEE/CVF International Conference on Computer Vision (ICCV)
Proceedings of the AAAI Conference on Artificial Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Lecture notes in computer science

Recent significant papers include:

"M3DETR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers," 2022, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
"Generate, Segment, and Refine: Towards Generic Manipulation Segmentation," 2020, Proceedings of the AAAI Conference on Artificial Intelligence
"DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
"Rethinking Pseudo Labels for Semi-supervised Object Detection," 2022, Proceedings of the AAAI Conference on Artificial Intelligence
"A Dynamic Frame Selection Framework for Fast Video Recognition," 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence

They have collaborated frequently with several co-authors, including:

Abhinav Shrivastava
Zuxuan Wu
Yu-Gang Jiang
Ser-Nam Lim
Shiyi Lan

Awards received by Larry S. Davis include recognition as an ACM Fellow in 2012 for contributions to image processing and computer vision, a Fellow of the International Association for Pattern Recognition (IAPR) in 2002 for contributions to computer vision and image understanding, and IEEE Fellow in 1998 for contributions to computer vision, image processing, and high performance computing.

Best Publications

W/sup 4/: real-time surveillance of people and their activities

I. Haritaoglu;D. Harwood;L.S. Davis

4387
Citations
Non-parametric Model for Background Subtraction

Ahmed M. Elgammal;David Harwood;Larry S. Davis

3534
Citations
An assessment of support vector machines for land cover classification

C. Huang;L. S. Davis;J. R. G. Townshend

2320
Citations
Background and foreground modeling using nonparametric kernel density estimation for visual surveillance

A. Elgammal;R. Duraiswami;D. Harwood;L.S. Davis

2261
Citations
Real-time foreground-background segmentation using codebook model

Kyungnam Kim;Thanarat H. Chalidabhongse;David Harwood;Larry Davis

2149
Citations
Soft-NMS — Improving Object Detection with One Line of Code

Navaneeth Bodla;Bharat Singh;Rama Chellappa;Larry S. Davis

1951
Citations
Model-based object pose in 25 lines of code

Daniel F. Dementhon;Larry S. Davis

1833
Citations
A survey of edge detection techniques

Larry S. Davis

1415
Citations
Label Consistent K-SVD: Learning a Discriminative Dictionary for Recognition

Zhuolin Jiang;Zhe Lin;L. S. Davis

1404
Citations
Learning Temporal Regularity in Video Sequences

Mahmudul Hasan;Jonghyun Choi;Jan Neumann;Amit K. Roy-Chowdhury

1322
Citations
3-D model-based tracking of humans in action: a multi-view approach

D.M. Gavrila;L.S. Davis

1198
Citations
W/sup 4/: Who? When? Where? What? A real time system for detecting and tracking people

I. Haritaoglu;D. Harwood;L.S. Davis

1190
Citations
Robust real-time periodic motion detection, analysis, and applications

R. Cutler;L.S. Davis

1057
Citations
Learning a discriminative dictionary for sparse coding via label consistent K-SVD

Zhuolin Jiang;Zhe Lin;Larry S. Davis

919
Citations
A large-scale benchmark dataset for event recognition in surveillance video

Sangmin Oh;Anthony Hoogs;Amitha Perera;Naresh Cuntoor

914
Citations
W/sup 4/: A Real Time System for Detecting and Tracking People

I. Haritaoglu;D. Harwood;L.S. Davis

904
Citations
NISP: Pruning Networks Using Neuron Importance Score Propagation

Ruichi Yu;Ang Li;Chun-Fu Chen;Jui-Hsin Lai

868
Citations
An Analysis of Scale Invariance in Object Detection - SNIP

Bharat Singh;Larry S. Davis

863
Citations
Learning Rich Features for Image Manipulation Detection

Peng Zhou;Xintong Han;Vlad I. Morariu;Larry S. Davis

747
Citations
Human detection using partial least squares analysis

William Robson Schwartz;Aniruddha Kembhavi;David Harwood;Larry S. Davis

700
Citations
Adversarial training for free

Ali Shafahi;Mahyar Najibi;Mohammad Amin Ghiasi;Zheng Xu

627
Citations

Frequent Co-Authors

Vlad I. Morariu Adobe Systems (United States)

David Harwood University of Maryland, College Park

Ramani Duraiswami University of Maryland, College Park

Daniel DeMenthon Johns Hopkins University Applied Physics Laboratory

Zuxuan Wu Fudan University

Azriel Rosenfeld University of Maryland, College Park

Rama Chellappa Johns Hopkins University

Zhe Lin Adobe Systems (United States)

Abhinav Gupta Carnegie Mellon University

Bohyung Han Seoul National University

External Links

Wikipedia of Larry S. Davis Personal website of Larry S. Davis Google Scholar page

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