• Abschlussvortrag Masterarbeit, Shi Li
    Graph Neural Network based Tracking and Classification of Cell Division
    January 31, 2022 15:00 - 15:30
    Nur Online: https://webinar2.tnt.uni-hannover.de/b/kai-7pg-cry
  • Konzeptvortrag Bachelorarbeit, Jonas Kuhn
    Erweiterung des Minimum-Cost-Flow Models für das Tracking einer konstanten und definierten Anzahl von Objekten
    January 31, 2022 15:30 - 16:30
    Nur Online: https://webinar2.tnt.uni-hannover.de/b/kai-7pg-cry
  • Abschlussvortrag Masterarbeit (Extern), Chenyi Qian
    Adversarial Attacks Based on GAN to Avoid Malware Detection
    February 01, 2022 14:00 - 15:00
    https://teams.microsoft.com/l/meetup-join/19%3ameeting_ZDIyNjI2ODUtOGMwYy00ZDVhLTgxMGQtM2JlYzgzMDY2YWRj%40thread.v2/0?context=%7b%22Tid%22%3a%22c8875ac0-8ea4-46d5-abbc-720fe798fa01%22%2c%22Oid%22%3a%2
  • Abschlussvortrag Studienarbeit, Wenfeng Wang
    Using Self-Supervised Learning to Reduce Annotation Requirements for 3D Wireframe Parsing
    February 03, 2022 15:00 - 16:00
    https://webinar2.tnt.uni-hannover.de/b/fre-e7u-cwq
  • Abschlussvortrag Masterarbeit, Yiran Frank Wei
    Visibility of Plant Fertilization in Hyperspectral Imagery
    January 26, 2022 12:00 - 13:00
    Raum 1334 https://webinar2.tnt.uni-hannover.de/b/ulr-rxg-end
  • Abschlussvortrag Masterarbeit, Rasmus von Glahn
    Multi-Parameter DAC - Optimizing Multiple hyperparameters using a Reinforcement Learning Agent in High Dimensional Search Space
    January 19, 2022 10:00 - 11:00
    Virtuell: https://webinar2.tnt.uni-hannover.de/b/the-vp9-qtn
  • Abschlussvortrag Masterarbeit, Dren Fazlija
    SPaCE DAC
    January 19, 2022 11:00 - 12:00
    Virtuell: https://webinar2.tnt.uni-hannover.de/b/the-vp9-qtn
  • Abschlussvortrag Master- / Bachelorarbeit, Wang Yuehao
    Image Manipulation via Text Descriptions
    January 14, 2022 15:00 - 15:30
    https://webinar2.tnt.uni-hannover.de/b/yur-osf-5la-fpv
  • Abschlussvortrag Studienarbeit, Thorben Behrens und Leon Fortmann
    Bestimmung der relativen Position von Mikrocontrollern anhand der gegenseitig empfangenen Signalstärken für ein System zum effizienten Sporttraining
    January 12, 2022 13:00 - 14:00
    Seminarraum R1307 und https://webinar.tnt.uni-hannover.de/b/mar-2tz-urg
  • December 13, 2021 - March 31, 2022
    We are excited to announce the first international conference on automated machine learning (AutoML) in 2022, co-organized by Prof. Lindauer. The conference will be co-located with ICML, runs for 3 days and we are currently planning for in-person. Website: Webseite. The submission deadline is on Feb 24, 2022.


  • 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!


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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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