• Abschlussvortrag Bachelorarbeit, Emre Yasik
    Untersuchung von Ensemble Learning fuer die Zustandsueberwachung von Zahnriemenantrieben
    July 30, 2021 12:00 - 13:00
    Seminarraum R1307 & https://webinar.tnt.uni-hannover.de/b/yer-fu9-edc
  • Abschlussvortrag Masterarbeit, Eduard Ortlieb
    Defektprädiktion von Leiterplatten mit Verfahren der künstlichen Intelligenz
    August 09, 2021 11:00 - 11:45
  • Abschlussvortrag Masterarbeit, Niklas Aust
    Interpolation von Bildern mittels neuronaler Netze zur Fehlerverdeckung in VVC
    August 10, 2021 11:00 - 12:00
    Seminarraum R1307 und https://webinar2.tnt.uni-hannover.de/b/mar-y6x-rzn
  • Abschlussvortrag Masterarbeit, Mona Mirzaie
    Feature Extraction for Deep-Learning-Based Anomaly Detection
    August 31, 2021 14:00 - 14:45
  • Abschlussvortrag Masterarbeit, Kangyang Wu
    July 23, 2021 15:00 - 16:00
  • Konzeptvortrag Masterarbeit mit bbb, Yiran Wei
    Visibility of Plant Fertilization in Hyperspectral Imagery
    July 20, 2021 14:00 - 15:00
    Seminarraum R1307 und https://webinar2.tnt.uni-hannover.de/b/ulr-rxg-end
  • Konzeptvortrag Bachelorarbeit, Jonathan Gross
    Panoptische Segmentierung für die Änderungsdetektion in Luftbildern
    July 19, 2021 11:00 - 11:45
    Seminarraum R1307 und https://webinar2.tnt.uni-hannover.de/b/dan-9d2-d33
  • Konzeptvortrag Bachelorarbeit, Selim Seyhanoglu
    Few-Shot-Objekterkennung für Windenergieanlagen in Luftbildern
    July 19, 2021 11:45 - 12:30
    Seminarraum R1307 und https://webinar2.tnt.uni-hannover.de/b/dan-9d2-d33
  • Abschlussvortrag Masterarbeit, Erdi Chen
    Reference-Based Deep Metric Learning for Remaining Useful Lifetime Prediction of Printing Screen
    July 19, 2021 10:00 - 11:00
    Seminarraum R1307 & https://webinar.tnt.uni-hannover.de/b/yer-fu9-edc
  • April 22 - - May 31, 2021
    AutoML@ICML'21: We co-organize the AutoML workshop at the international conference on machine learning (ICML) 2021. In the last years, it was one of the biggest workshops at ICML. For more information visit http://icml2021.automl.org/.

  • February 18 - - December 18, 2021
    VCIP 2021: We organize the VCIP 2021 chaired by Jörn Ostermann and Touradj Ebrahimi in Munich. VCIP is one of the oldest IEEE conferences in the field of visual communications and image processing. Since 1986, VCIP has served as a premier forum for the exchange of fundamental and applied research in the field of visual communications and image processing. For more information visit www.vcip2021.org.

  • March 05, 2020
    Paper accepted to ICRA 2020: Temporally Consistent Horizon Lines. Source code and dataset are available on GitHub!

  • March 05, 2020
    Paper accepted to CVPR 2020: CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus. Source code and dataset are available on GitHub!

  • February 14, 2020

    Student team successful in AI competition Battlecode

    Our students Hannes Küttner, Simon Reuß und Maximilian Schier have successfully participated in the AI competition Battlecode. Battlecode is an international real-time strategy game organized by MIT. Over four weeks the students developed AIs within our lab Machine Learning for Games AIs which is supervised by Christoph Reinders and Frederik Schubert. The team qualified as one of the best four international teams for the final, which took place at MIT in Boston/Cambridge. In the final the team took 7th place from over 600 student teams that competed worldwide.

    Battlecode Team

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  • December 11, 2020

    1st and 3rd at BBO-Challenge@NeurIPS'20

    Prizewinner: Difan Deng and Marius Lindauer et al.
    AutoML.org & IOHprofiler, featuring the switching squirrel. After fixing a minor bug, our Switching Squirrel achieved a strong 3rd place at the black-box challenge at #NeurIPS2020 (#AutoML and Hyperparameter Optimization). On the warm-start friendly leaderboard, our Squirrel was even ranked 1st and was awarded an extra prize money. Our Squirrel combines ideas from (i) (simple) meta-learning by recognizing known configuration spaces, (ii) a diverse portfolio of acquisition functions, surrogate models and data transformations for Bayesian Optimization and (iii) differential evolution for a greedy final stage. It is the outcome of a joint collaboration between the groups from AutoML.org (tnt@Leibniz University Hannover and University of Freiburg) and IOHProfiler (Leiden University and Sorbonne University). Competition homepage

  • October 23, 2020

    Best Student Paper Award

    AwardeeMaren Awiszus, Frederik Schubert and Bodo Rosenhahn
    Prizewinner: Maren Awiszus, Frederik Schubert and Bodo Rosenhahn
    Award Sponsor: AIIDE 2020

  • November 20, 2020

    1st and 2nd places at ABAW-Competition

    Prizewinner: Felix Kuhnke, Lars Rumberg, Jörn Ostermann
    In the FG-2020 Competition: Affective Behavior Analysis in-the-wild (ABAW) researchers from TNT achieved two strong 2nd places (for action unit and valence arousal estimation) and one 1st place for categorical emotion recognition. The goal of this competition was to extract human emotion from "in-the-wild" videos. Our work was presented at the IEEE International Conference on Automatic Face and Gesture Recognition (FG) 2020, 16-20 November 2020.
    Award Sponsor: https://ibug.doc.ic.ac.uk/resources/fg-2020-competition-affective-behavior-analysis/

  • July 26, 2020

    Best FWJ Poster Award

    AwardeeHendrik Müller
    Prizewinner: Hendrik Müller
    For his poster Entwicklung und Bau der Solarmessbox Hendrik Müller received the best poster award among all "FWJler" from the Leibniz University Hannover. The work was supervised by Marco Munderloh.

  • April 03, 2019

    VDE Studienpreis 2018

    AwardeeLukas Beckmann
    Prizewinner: Lukas Beckmann
    For his bachelor thesis: "End-to-End Learning for Steering Autonomous Vehicles" supervised by Christoph Reinders.
    Award Sponsor: VDE Hannover

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