H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 111 Citations 61,610 566 World Ranking 84 National Ranking 53

Research.com Recognitions

Awards & Achievements

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

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Machine learning

Artificial intelligence, Computer vision, Pattern recognition, Feature extraction and Object detection are his primary areas of study. His Artificial intelligence study frequently draws connections between related disciplines such as Machine learning. His Pattern recognition study incorporates themes from Artificial neural network, Histogram and Feature.

His Feature extraction research is multidisciplinary, incorporating perspectives in Detector, Face detection, Partial least squares regression, Pascal and Convolutional neural network. The study incorporates disciplines such as Video tracking, Pose, Kernel and Robustness in addition to Object detection. His studies deal with areas such as Algorithm and Motion analysis as well as Image processing.

His most cited work include:

  • W/sup 4/: real-time surveillance of people and their activities (2555 citations)
  • Non-parametric Model for Background Subtraction (1956 citations)
  • Background and foreground modeling using nonparametric kernel density estimation for visual surveillance (1358 citations)

What are the main themes of his work throughout his whole career to date?

His main research concerns Artificial intelligence, Computer vision, Pattern recognition, Machine learning and Object detection. His works in Object, Image, Segmentation, Image processing and Feature extraction are all subjects of inquiry into Artificial intelligence. His work in Image segmentation, Pixel, Tracking, Background subtraction and Motion estimation are all subfields of Computer vision research.

Larry S. Davis mostly deals with Scale-space segmentation in his studies of Image segmentation. His research in Pattern recognition intersects with topics in Contextual image classification, Facial recognition system and Feature. His Object detection study integrates concerns from other disciplines, such as Detector and Robustness.

He most often published in these fields:

  • Artificial intelligence (80.96%)
  • Computer vision (45.12%)
  • Pattern recognition (30.90%)

What were the highlights of his more recent work (between 2017-2021)?

  • Artificial intelligence (80.96%)
  • Pattern recognition (30.90%)
  • Machine learning (13.72%)

In recent papers he was focusing on the following fields of study:

The scientist’s investigation covers issues in Artificial intelligence, Pattern recognition, Machine learning, Computer vision and Object detection. As part of his studies on Artificial intelligence, Larry S. Davis often connects relevant areas like Detector. His research investigates the link between Pattern recognition and topics such as Visualization that cross with problems in Search engine indexing.

His Machine learning research is multidisciplinary, relying on both Frame, Embedding, Inference and Adversarial system. Larry S. Davis has included themes like Artificial neural network, Process and Test set in his Computer vision study. He has researched Object detection in several fields, including Minimum bounding box, Contextual image classification, Benchmark, Focus and Pyramid.

Between 2017 and 2021, his most popular works were:

  • NISP: Pruning Networks Using Neuron Importance Score Propagation (354 citations)
  • An Analysis of Scale Invariance in Object Detection - SNIP (331 citations)
  • Adversarial training for free (268 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Computer vision
  • Machine learning

Larry S. Davis mainly focuses on Artificial intelligence, Pattern recognition, Object detection, Machine learning and Computer vision. Image resolution is closely connected to Detector in his research, which is encompassed under the umbrella topic of Artificial intelligence. His work carried out in the field of Pattern recognition brings together such families of science as Visualization and Image.

The various areas that Larry S. Davis examines in his Object detection study include Contextual image classification, Noise, Bilinear interpolation and Code. His Machine learning research includes elements of Adversarial system, Frame and Forgetting. His work on Minimum bounding box, Inpainting and Image synthesis as part of general Computer vision study is frequently linked to Compatibility and Clothing, bridging the gap between disciplines.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

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

I. Haritaoglu;D. Harwood;L.S. Davis.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2000)

4116 Citations

Non-parametric Model for Background Subtraction

Ahmed M. Elgammal;David Harwood;Larry S. Davis.
european conference on computer vision (2000)

3224 Citations

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

A. Elgammal;R. Duraiswami;D. Harwood;L.S. Davis.
Proceedings of the IEEE (2002)

2023 Citations

Real-time foreground-background segmentation using codebook model

Kyungnam Kim;Thanarat H. Chalidabhongse;David Harwood;Larry Davis.
Real-time Imaging (2005)

1921 Citations

An assessment of support vector machines for land cover classification

C. Huang;L. S. Davis;J. R. G. Townshend.
International Journal of Remote Sensing (2002)

1714 Citations

Model-based object pose in 25 lines of code

Daniel F. Dementhon;Larry S. Davis.
International Journal of Computer Vision (1995)

1393 Citations

A survey of edge detection techniques

Larry S. Davis.
Computer Graphics and Image Processing (1975)

1240 Citations

W4S: A real-time system detecting and tracking people in 2 1/2D

Ismail Haritaoglu;David Harwood;Larry S. Davis.
european conference on computer vision (1998)

1240 Citations

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

I. Haritaoglu;D. Harwood;L.S. Davis.
ieee international conference on automatic face and gesture recognition (1998)

1188 Citations

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

D.M. Gavrila;L.S. Davis.
computer vision and pattern recognition (1996)

1090 Citations

If you think any of the details on this page are incorrect, let us know.

Contact us

Best Scientists Citing Larry S. Davis

Rama Chellappa

Rama Chellappa

Johns Hopkins University

Publications: 154

Qi Tian

Qi Tian

Huawei Technologies (China)

Publications: 89

Xilin Chen

Xilin Chen

Institute Of Computing Technology

Publications: 80

Shiguang Shan

Shiguang Shan

Chinese Academy of Sciences

Publications: 75

Jake K. Aggarwal

Jake K. Aggarwal

The University of Texas at Austin

Publications: 73

Rita Cucchiara

Rita Cucchiara

University of Modena and Reggio Emilia

Publications: 72

Pascal Fua

Pascal Fua

École Polytechnique Fédérale de Lausanne

Publications: 68

Dacheng Tao

Dacheng Tao

University of Sydney

Publications: 68

Thomas S. Huang

Thomas S. Huang

University of Illinois at Urbana-Champaign

Publications: 68

Tieniu Tan

Tieniu Tan

Chinese Academy of Sciences

Publications: 67

Shuicheng Yan

Shuicheng Yan

National University of Singapore

Publications: 66

Mohan M. Trivedi

Mohan M. Trivedi

University of California, San Diego

Publications: 65

Shaogang Gong

Shaogang Gong

Queen Mary University of London

Publications: 65

Mubarak Shah

Mubarak Shah

University of Central Florida

Publications: 62

Azriel Rosenfeld

Azriel Rosenfeld

University of Maryland, College Park

Publications: 58

Andrea Prati

Andrea Prati

University of Parma

Publications: 58

Something went wrong. Please try again later.