D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 59 Citations 19,079 396 World Ranking 1672 National Ranking 27

Research.com Recognitions

Awards & Achievements

2018 - IAPR Maria Petrou Prize For pioneering contributions to tracking and reidentification, and as a role model for early career researchers.

2006 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to pattern recognition for video-surveillance.

Overview

What is she best known for?

The fields of study she is best known for:

  • Artificial intelligence
  • Computer vision
  • Operating system

Her primary areas of investigation include Artificial intelligence, Computer vision, Segmentation, Object detection and Image segmentation. Her Artificial intelligence research integrates issues from Machine learning and Pattern recognition. Her Pattern recognition study integrates concerns from other disciplines, such as Pixel, Optimal decision and Cluster analysis.

As part of her studies on Computer vision, Rita Cucchiara frequently links adjacent subjects like Robustness. Her work on Scale-space segmentation as part of general Segmentation research is frequently linked to Research community, thereby connecting diverse disciplines of science. Her biological study spans a wide range of topics, including Text mining, Speedup, Decision tree and Connected component.

Her most cited work include:

  • Detecting moving objects, ghosts, and shadows in video streams (1284 citations)
  • Visual Tracking: An Experimental Survey (1202 citations)
  • Performance Measures and a Data Set for Multi-target, Multi-camera Tracking (842 citations)

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

Her main research concerns Artificial intelligence, Computer vision, Pattern recognition, Machine learning and Multimedia. Her study involves Segmentation, Deep learning, Object detection, Feature extraction and Image segmentation, a branch of Artificial intelligence. Her work in Computer vision is not limited to one particular discipline; it also encompasses Robustness.

Her Pattern recognition research includes themes of Contextual image classification, Histogram and Cluster analysis. Her research brings together the fields of Closed captioning and Machine learning. Multimedia is closely attributed to Annotation in her research.

She most often published in these fields:

  • Artificial intelligence (67.72%)
  • Computer vision (41.54%)
  • Pattern recognition (16.93%)

What were the highlights of her more recent work (between 2015-2021)?

  • Artificial intelligence (67.72%)
  • Computer vision (41.54%)
  • Deep learning (7.48%)

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

Her scientific interests lie mostly in Artificial intelligence, Computer vision, Deep learning, Machine learning and Convolutional neural network. Her research links Pattern recognition with Artificial intelligence. Computer graphics is closely connected to Hallucinating in her research, which is encompassed under the umbrella topic of Computer vision.

Her Deep learning study combines topics from a wide range of disciplines, such as Parametric statistics, Pixel, Image, Pipeline and Point. Rita Cucchiara interconnects Visualization, Image segmentation and Set in the investigation of issues within Machine learning. Rita Cucchiara combines subjects such as Contrast and Salience with her study of Convolutional neural network.

Between 2015 and 2021, her most popular works were:

  • Performance Measures and a Data Set for Multi-target, Multi-camera Tracking (842 citations)
  • Predicting Human Eye Fixations via an LSTM-based Saliency Attentive Model. (224 citations)
  • Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking (193 citations)

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

  • Artificial intelligence
  • Computer vision
  • Machine learning

Rita Cucchiara mainly investigates Artificial intelligence, Computer vision, Machine learning, Convolutional neural network and Deep learning. Her Artificial intelligence study frequently draws connections between related disciplines such as Pattern recognition. The Computer vision study combines topics in areas such as State and Identification.

Her research integrates issues of Adversarial system, Resolution, Social group, Generative grammar and Set in her study of Machine learning. Her research in Convolutional neural network intersects with topics in Exploit, Contrast and Salience. The concepts of her Deep learning study are interwoven with issues in Probability distribution, Parametric statistics, Feature learning and Code.

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

Detecting moving objects, ghosts, and shadows in video streams

R. Cucchiara;C. Grana;M. Piccardi;A. Prati.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2003)

2123 Citations

Visual Tracking: An Experimental Survey

Arnold W. M. Smeulders;Dung M. Chu;Rita Cucchiara;Simone Calderara.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2014)

1452 Citations

Detecting moving shadows: algorithms and evaluation

A. Prati;I. Mikic;M.M. Trivedi;R. Cucchiara.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2003)

1143 Citations

Performance Measures and a Data Set for Multi-target, Multi-camera Tracking

Ergys Ristani;Francesco Solera;Roger S. Zou;Rita Cucchiara.
european conference on computer vision (2016)

889 Citations

Improving shadow suppression in moving object detection with HSV color information

R. Cucchiara;C. Grana;M. Piccardi;A. Prati.
ieee intelligent transportation systems (2001)

745 Citations

Image analysis and rule-based reasoning for a traffic monitoring system

R. Cucchiara;M. Piccardi;P. Mello.
IEEE Transactions on Intelligent Transportation Systems (2000)

577 Citations

People reidentification in surveillance and forensics: A survey

Roberto Vezzani;Davide Baltieri;Rita Cucchiara.
ACM Computing Surveys (2013)

333 Citations

3DPeS: 3D people dataset for surveillance and forensics

Davide Baltieri;Roberto Vezzani;Rita Cucchiara.
Proceedings of the 2011 joint ACM workshop on Human gesture and behavior understanding (2011)

313 Citations

Predicting Human Eye Fixations via an LSTM-based Saliency Attentive Model.

Marcella Cornia;Lorenzo Baraldi;Giuseppe Serra;Rita Cucchiara.
IEEE Transactions on Image Processing (2018)

292 Citations

Probabilistic posture classification for Human-behavior analysis

R. Cucchiara;C. Grana;A. Prati;R. Vezzani.
systems man and cybernetics (2005)

250 Citations

Best Scientists Citing Rita Cucchiara

Alberto Del Bimbo

Alberto Del Bimbo

University of Florence

Publications: 42

Ming-Hsuan Yang

Ming-Hsuan Yang

University of California, Merced

Publications: 39

Liang Zheng

Liang Zheng

Australian National University

Publications: 33

Wei-Shi Zheng

Wei-Shi Zheng

Sun Yat-sen University

Publications: 32

Andrea Cavallaro

Andrea Cavallaro

Queen Mary University of London

Publications: 29

Yi Yang

Yi Yang

Zhejiang University

Publications: 29

Shaogang Gong

Shaogang Gong

Queen Mary University of London

Publications: 29

Qi Tian

Qi Tian

Huawei Technologies (China)

Publications: 28

Haibin Ling

Haibin Ling

Stony Brook University

Publications: 27

Matej Kristan

Matej Kristan

University of Ljubljana

Publications: 26

Qingming Huang

Qingming Huang

Chinese Academy of Sciences

Publications: 25

Xiaogang Wang

Xiaogang Wang

Chinese University of Hong Kong

Publications: 24

Fatih Porikli

Fatih Porikli

Australian National University

Publications: 23

Gian Luca Foresti

Gian Luca Foresti

University of Udine

Publications: 22

Mohan M. Trivedi

Mohan M. Trivedi

University of California, San Diego

Publications: 22

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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