H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 68 Citations 25,680 184 World Ranking 961 National Ranking 34

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, Object detection, Pattern recognition and Cognitive neuroscience of visual object recognition are his primary areas of study. His study explores the link between Artificial intelligence and topics such as Machine learning that cross with problems in Superpixel segmentation. His research investigates the connection between Computer vision and topics such as Visualization that intersect with issues in 3D reconstruction and Pattern recognition.

His Object detection study incorporates themes from Video tracking and Contextual image classification. The Pattern recognition study combines topics in areas such as Categorization, Probabilistic logic, Implicit Shape Model and 3D single-object recognition. His Cognitive neuroscience of visual object recognition research includes elements of Geospatial analysis and Scale.

His most cited work include:

  • In Defense of the Triplet Loss for Person Re-Identification. (1387 citations)
  • Robust Object Detection with Interleaved Categorization and Segmentation (871 citations)
  • Combined Object Categorization and Segmentation With an Implicit Shape Model (809 citations)

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

The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Object, Segmentation and Pattern recognition. His Computer vision research incorporates elements of Task and Robustness. His Object research is multidisciplinary, relying on both Categorization and Cluster analysis.

His study in Segmentation is interdisciplinary in nature, drawing from both Point cloud and Machine learning. His work on Segmentation-based object categorization is typically connected to Matching as part of general Pattern recognition study, connecting several disciplines of science. His Implicit Shape Model study in the realm of Object detection connects with subjects such as Pedestrian detection and Object-class detection.

He most often published in these fields:

  • Artificial intelligence (87.03%)
  • Computer vision (64.02%)
  • Object (28.03%)

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

  • Artificial intelligence (87.03%)
  • Computer vision (64.02%)
  • Segmentation (27.62%)

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

Bastian Leibe focuses on Artificial intelligence, Computer vision, Segmentation, Object and Tracking. Bastian Leibe regularly links together related areas like Pattern recognition in his Artificial intelligence studies. His Pattern recognition research incorporates themes from Point cloud and Representation.

His work in the fields of Computer vision, such as Video tracking, Image and Feature extraction, overlaps with other areas such as Lidar and Manifold. His Segmentation study combines topics in areas such as Pixel, Minimum bounding box, Task and Object detection. His Object research integrates issues from Embedding and Visualization.

Between 2018 and 2021, his most popular works were:

  • FEELVOS: Fast End-To-End Embedding Learning for Video Object Segmentation (119 citations)
  • MOTS: Multi-Object Tracking and Segmentation (116 citations)
  • Siam R-CNN: Visual Tracking by Re-Detection (51 citations)

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

  • Artificial intelligence
  • Computer vision
  • Machine learning

Bastian Leibe spends much of his time researching Artificial intelligence, Segmentation, Computer vision, Point cloud and Video tracking. Bastian Leibe performs integrative study on Artificial intelligence and Code. His Segmentation research includes themes of Object and Deep learning.

His work in the fields of Tracking and Minimum bounding box overlaps with other areas such as Set. His work deals with themes such as Algorithm, Receptive field and Dilation, which intersect with Point cloud. His work in Video tracking covers topics such as Eye tracking which are related to areas like Feature extraction, Robustness, Data mining and BitTorrent tracker.

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.

Top Publications

In Defense of the Triplet Loss for Person Re-Identification.

Alexander Hermans;Lucas Beyer;Bastian Leibe.
arXiv: Computer Vision and Pattern Recognition (2017)

2145 Citations

Robust Object Detection with Interleaved Categorization and Segmentation

Bastian Leibe;Aleš Leonardis;Bernt Schiele.
International Journal of Computer Vision (2008)

1216 Citations

Combined Object Categorization and Segmentation With an Implicit Shape Model

Bastian Leibe;Ales Leonardis;Bernt Schiele.
Workshop on Statistical Learning in Computer Vision (2004)

1136 Citations

Pedestrian detection in crowded scenes

B. Leibe;E. Seemann;B. Schiele.
computer vision and pattern recognition (2005)

1034 Citations

Analyzing appearance and contour based methods for object categorization

B. Leibe;B. Schiele.
computer vision and pattern recognition (2003)

885 Citations

Robust tracking-by-detection using a detector confidence particle filter

Michael D. Breitenstein;Fabian Reichlin;Bastian Leibe;Esther Koller-Meier.
international conference on computer vision (2009)

706 Citations

Online Multiperson Tracking-by-Detection from a Single, Uncalibrated Camera

M. D. Breitenstein;F. Reichlin;B. Leibe;E. Koller-Meier.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2011)

700 Citations

A mobile vision system for robust multi-person tracking

A. Ess;B. Leibe;K. Schindler;L. Van Gool.
computer vision and pattern recognition (2008)

636 Citations

Depth and Appearance for Mobile Scene Analysis

A. Ess;B. Leibe;L. Van Gool.
international conference on computer vision (2007)

585 Citations

Fast image-based localization using direct 2D-to-3D matching

Torsten Sattler;Bastian Leibe;Leif Kobbelt.
international conference on computer vision (2011)

484 Citations

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

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Contact us

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