H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 95 Citations 93,221 242 World Ranking 198 National Ranking 120

Research.com Recognitions

Awards & Achievements

2005 - Fellow of Alfred P. Sloan Foundation

2004 - Hellman Fellow

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Machine learning

His primary scientific interests are in Artificial intelligence, Pattern recognition, Computer vision, Cognitive neuroscience of visual object recognition and Image segmentation. His Artificial intelligence study frequently links to other fields, such as Machine learning. His studies in Pattern recognition integrate themes in fields like Contextual image classification, Image retrieval and Robustness.

Computer vision is often connected to Detector in his work. Serge Belongie has researched Cognitive neuroscience of visual object recognition in several fields, including Categorization, Shape analysis, Optical character recognition and Spotting. His Segmentation research is multidisciplinary, relying on both Metric, Pascal, Minimum bounding box and Structure from motion.

His most cited work include:

  • Microsoft COCO: Common Objects in Context (10541 citations)
  • Shape matching and object recognition using shape contexts (5633 citations)
  • Feature Pyramid Networks for Object Detection (5588 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 Image segmentation. His Artificial intelligence study focuses mostly on Segmentation, Object detection, Cognitive neuroscience of visual object recognition, Object and Contextual image classification. His study in Pixel, Image texture, Structure from motion, Feature and Motion estimation falls under the purview of Computer vision.

His study in Image texture is interdisciplinary in nature, drawing from both Automatic image annotation and Image retrieval. His Pattern recognition research is multidisciplinary, incorporating perspectives in Artificial neural network and Histogram. The Machine learning study combines topics in areas such as Training set, Categorization and Metric.

He most often published in these fields:

  • Artificial intelligence (76.25%)
  • Computer vision (33.75%)
  • Pattern recognition (25.31%)

What were the highlights of his more recent work (between 2018-2021)?

  • Artificial intelligence (76.25%)
  • Machine learning (21.87%)
  • Computer vision (33.75%)

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

Serge Belongie spends much of his time researching Artificial intelligence, Machine learning, Computer vision, Algorithm and Code. His research on Artificial intelligence often connects related areas such as Pattern recognition. When carried out as part of a general Pattern recognition research project, his work on Linear classifier is frequently linked to work in Sampling, therefore connecting diverse disciplines of study.

His Machine learning research includes elements of Adversarial system, Segmentation, Training and Categorization. In general Computer vision study, his work on Rendering and Structure from motion often relates to the realm of Illusory motion and Control theory, thereby connecting several areas of interest. His Code research incorporates themes from Point cloud and Object detection.

Between 2018 and 2021, his most popular works were:

  • Class-Balanced Loss Based on Effective Number of Samples (249 citations)
  • PointFlow: 3D Point Cloud Generation With Continuous Normalizing Flows (143 citations)
  • Class-Balanced Loss Based on Effective Number of Samples (62 citations)

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

  • Artificial intelligence
  • Computer vision
  • Machine learning

Serge Belongie mostly deals with Artificial intelligence, Artificial neural network, Algorithm, Metric and Theoretical computer science. Serge Belongie combines subjects such as Machine learning and Pattern recognition with his study of Artificial intelligence. Serge Belongie has included themes like Closing, Normalization and Embedding in his Pattern recognition study.

Serge Belongie interconnects Adversarial system and Exploit in the investigation of issues within Artificial neural network. As part of the same scientific family, Serge Belongie usually focuses on Algorithm, concentrating on Point cloud and intersecting with Generative model, Discriminative model, Graphics, Inference and Representation. His work deals with themes such as Representation and Solid modeling, which intersect with Theoretical computer science.

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

Microsoft COCO: Common Objects in Context

Tsung-Yi Lin;Michael Maire;Serge J. Belongie;James Hays.
european conference on computer vision (2014)

11403 Citations

Shape matching and object recognition using shape contexts

S. Belongie;J. Malik;J. Puzicha.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2002)

7891 Citations

Microsoft COCO: Common Objects in Context

Tsung-Yi Lin;Michael Maire;Serge Belongie;Lubomir Bourdev.
arXiv: Computer Vision and Pattern Recognition (2014)

6948 Citations

Feature Pyramid Networks for Object Detection

Tsung-Yi Lin;Piotr Dollar;Ross Girshick;Kaiming He.
computer vision and pattern recognition (2017)

4162 Citations

Behavior recognition via sparse spatio-temporal features

P. Dollar;V. Rabaud;G. Cottrell;S. Belongie.
international conference on computer communications and networks (2005)

3113 Citations

Robust Object Tracking with Online Multiple Instance Learning

B. Babenko;Ming-Hsuan Yang;S. Belongie.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2011)

2267 Citations

Visual tracking with online Multiple Instance Learning

Boris Babenko;Ming-Hsuan Yang;Serge Belongie.
computer vision and pattern recognition (2009)

2185 Citations

Blobworld: image segmentation using expectation-maximization and its application to image querying

C. Carson;S. Belongie;H. Greenspan;J. Malik.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2002)

1942 Citations

Fast Feature Pyramids for Object Detection

Piotr Dollar;Ron Appel;Serge Belongie;Pietro Perona.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2014)

1747 Citations

Spectral grouping using the Nystrom method

C. Fowlkes;S. Belongie;F. Chung;J. Malik.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2004)

1523 Citations

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