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 60 Citations 38,692 210 World Ranking 1517 National Ranking 845

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Machine learning

Laurent Itti mainly focuses on Artificial intelligence, Computer vision, Eye movement, Salience and Communication. His study in Artificial intelligence is interdisciplinary in nature, drawing from both Visual attention and Pattern recognition. He combines subjects such as Machine learning and Visual saliency with his study of Visual attention.

The study incorporates disciplines such as Robot and Visual search in addition to Computer vision. His Salience study combines topics from a wide range of disciplines, such as Object detection and Visual cortex. His Communication research incorporates themes from Cognitive psychology and Perception.

His most cited work include:

  • A model of saliency-based visual attention for rapid scene analysis (8952 citations)
  • Computational modelling of visual attention. (3577 citations)
  • A saliency-based search mechanism for overt and covert shifts of visual attention. (2511 citations)

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

Laurent Itti mostly deals with Artificial intelligence, Computer vision, Pattern recognition, Eye movement and Cognitive psychology. Laurent Itti has included themes like Machine learning and Visual attention in his Artificial intelligence study. Laurent Itti works mostly in the field of Computer vision, limiting it down to topics relating to Visual search and, in certain cases, Stimulus.

As part of his studies on Pattern recognition, Laurent Itti frequently links adjacent subjects like Feature. Laurent Itti usually deals with Eye movement and limits it to topics linked to Gaze and Neuroscience. His work carried out in the field of Cognitive psychology brings together such families of science as Surprise and Perception.

He most often published in these fields:

  • Artificial intelligence (66.77%)
  • Computer vision (38.61%)
  • Pattern recognition (18.35%)

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

  • Artificial intelligence (66.77%)
  • Pattern recognition (18.35%)
  • Artificial neural network (6.33%)

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

Laurent Itti spends much of his time researching Artificial intelligence, Pattern recognition, Artificial neural network, Machine learning and Computer vision. His Pattern recognition research is multidisciplinary, incorporating elements of Similarity, Residual and Time series. His research in Artificial neural network intersects with topics in Perspective and Forgetting.

In the subject of general Computer vision, his work in Image and Object detection is often linked to Field, thereby combining diverse domains of study. His Feature extraction study combines topics in areas such as Deep belief network, Support vector machine, Salience, Mixture model and Saliency map. The concepts of his Human–computer interaction study are interwoven with issues in Visual attention and Eye movement.

Between 2015 and 2021, his most popular works were:

  • Born Again Neural Networks (195 citations)
  • Born Again Neural Networks (154 citations)
  • Superior colliculus neurons encode a visual saliency map during free viewing of natural dynamic video (80 citations)

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

  • Artificial intelligence
  • Machine learning
  • Computer vision

His primary areas of investigation include Artificial intelligence, Pattern recognition, Artificial neural network, Machine learning and Forgetting. His study in Computer vision extends to Artificial intelligence with its themes. His studies deal with areas such as Activity recognition and Robotics as well as Computer vision.

His research in the fields of Feature extraction and Support vector machine overlaps with other disciplines such as Code and Boundary. His Artificial neural network research incorporates elements of Language model and Perspective. Laurent Itti has researched Forgetting in several fields, including Gradient descent, Regularization and Sequence learning.

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

A model of saliency-based visual attention for rapid scene analysis

L. Itti;C. Koch;E. Niebur.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1998)

12635 Citations

Computational modelling of visual attention.

Laurent Itti;Christof Koch.
Nature Reviews Neuroscience (2001)

5332 Citations

A saliency-based search mechanism for overt and covert shifts of visual attention.

Laurent Itti;Christof Koch.
Vision Research (2000)

3734 Citations

State-of-the-Art in Visual Attention Modeling

A. Borji;L. Itti.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2013)

1904 Citations

Automatic foveation for video compression using a neurobiological model of visual attention

L. Itti.
IEEE Transactions on Image Processing (2004)

913 Citations

Bayesian surprise attracts human attention.

Laurent Itti;Pierre Baldi.
Vision Research (2009)

873 Citations

Modeling the influence of task on attention

Vidhya Navalpakkam;Laurent Itti.
Vision Research (2005)

867 Citations

Components of bottom-up gaze allocation in natural images

Robert J. Peters;Asha Iyer;Laurent Itti;Christof Koch.
Vision Research (2005)

731 Citations

Rapid Biologically-Inspired Scene Classification Using Features Shared with Visual Attention

C. Siagian;L. Itti.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2007)

722 Citations

Quantitative Analysis of Human-Model Agreement in Visual Saliency Modeling: A Comparative Study

Ali Borji;D. N. Sihite;L. Itti.
IEEE Transactions on Image Processing (2013)

663 Citations

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Best Scientists Citing Laurent Itti

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