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Computer Science
Germany
2025

D-Index & Metrics

Computer Science

D-Index
81
Citations
35183
World Ranking
994
National Ranking
36

Research.com Recognitions

  • 2025 - Research.com Computer Science in Germany Leader Award
  • 2023 - Research.com Computer Science in Germany Leader Award
  • 2022 - Research.com Computer Science in Germany Leader Award

Overview

Bastian Leibe is affiliated with RWTH Aachen University in Germany and has contributed extensively to the fields of computer science and engineering. Their research primarily focuses on computer vision and pattern recognition, with additional involvement in artificial intelligence, computational mechanics, aerospace engineering, and geology.

Their key research topics include advanced neural network applications, video surveillance and tracking methods, human pose and action recognition, visual attention and saliency detection, 3D shape modeling and analysis, robotics and sensor-based localization, and advanced image and video retrieval techniques.

Bastian Leibe has published several papers in major conferences and journals. Notable recent publications include:

  • "Track to Reconstruct and Reconstruct to Track" (2020), IEEE Robotics and Automation Letters
  • "Opening up Open World Tracking" (2022), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "BURST: A Benchmark for Unifying Object Recognition, Segmentation and Tracking in Video" (2023), 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • "Learning 3D Human Pose Estimation from Dozens of Datasets using a Geometry-Aware Autoencoder to Bridge Between Skeleton Formats" (2023), 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • "D2Conv3D: Dynamic Dilated Convolutions for Object Segmentation in Videos" (2022), 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Their frequent co-authors include:

  • Alexander Hermans
  • Jonathon Luiten
  • Sabarinath Mahadevan
  • Deva Ramanan
  • A. N. Nekrasov

Major publication venues for their work encompass:

  • arXiv (Cornell University)
  • 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • RWTH Publications (RWTH Aachen)

This body of work reflects an engagement with both theoretical and practical aspects of computer vision, robotics, and related interdisciplinary fields. The diversity of publication venues and collaborating authors underscores a broad and collaborative research approach.

Best Publications

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

    Alexander Hermans;Lucas Beyer;Bastian Leibe

  • HOTA: A Higher Order Metric for Evaluating Multi-object Tracking.

    Jonathon Luiten;Aljosa Osep;Patrick Dendorfer;Philip H. S. Torr

  • Robust Object Detection with Interleaved Categorization and Segmentation

    Bastian Leibe;Aleš Leonardis;Bernt Schiele

  • Pedestrian detection in crowded scenes

    B. Leibe;E. Seemann;B. Schiele

  • Combined Object Categorization and Segmentation With an Implicit Shape Model

    Bastian Leibe;Ales Leonardis;Bernt Schiele

  • Analyzing appearance and contour based methods for object categorization

    B. Leibe;B. Schiele

  • A mobile vision system for robust multi-person tracking

    A. Ess;B. Leibe;K. Schindler;L. Van Gool

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

    Michael D. Breitenstein;Fabian Reichlin;Bastian Leibe;Esther Koller-Meier

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

    M. D. Breitenstein;F. Reichlin;B. Leibe;E. Koller-Meier

  • Semi-Supervised Deep Learning for Monocular Depth Map Prediction

    Yevhen Kuznietsov;Jorg Stuckler;Bastian Leibe

  • Siam R-CNN: Visual Tracking by Re-Detection

    Paul Voigtlaender;Jonathon Luiten;Philip H.S. Torr;Bastian Leibe

  • Depth and Appearance for Mobile Scene Analysis

    A. Ess;B. Leibe;L. Van Gool

  • Full-Resolution Residual Networks for Semantic Segmentation in Street Scenes

    Tobias Pohlen;Alexander Hermans;Markus Mathias;Bastian Leibe

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

    Torsten Sattler;Bastian Leibe;Leif Kobbelt

  • MOTS: Multi-Object Tracking and Segmentation

    Paul Voigtlaender;Michael Krause;Aljosa Osep;Jonathon Luiten

  • Efficient & Effective Prioritized Matching for Large-Scale Image-Based Localization

    Torsten Sattler;Bastian Leibe;Leif Kobbelt

  • Superpixels: An evaluation of the state-of-the-art

    David Stutz;Alexander Hermans;Bastian Leibe

  • The 2005 PASCAL visual object classes challenge

    Mark Everingham;Andrew Zisserman;Christopher K. I. Williams;Luc Van Gool

  • FEELVOS: Fast End-To-End Embedding Learning for Video Object Segmentation

    Paul Voigtlaender;Yuning Chai;Florian Schroff;Hartwig Adam

  • Online Adaptation of Convolutional Neural Networks for Video Object Segmentation

    Paul Voigtlaender;Bastian Leibe

  • Coupled Object Detection and Tracking from Static Cameras and Moving Vehicles

    B. Leibe;K. Schindler;N. Cornelis;L. Van Gool

Frequent Co-Authors

Luc Van Gool
Luc Van Gool Institute for Computer Science, Artificial Intelligence and Technology (INSAIT)
Bernt Schiele
Bernt Schiele Max Planck Institute for Informatics
Leif Kobbelt
Leif Kobbelt RWTH Aachen University
Kai O. Arras
Kai O. Arras Robert Bosch (Germany)
Torsten Sattler
Torsten Sattler Czech Technical University in Prague
Jörg Stückler
Jörg Stückler Max Planck Institute for Intelligent Systems
Vittorio Ferrari
Vittorio Ferrari Google (United States)
Thad Starner
Thad Starner Georgia Institute of Technology

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