INB LUNCH-SEMINAR - Vorträge
Aufgrund der aktuellen COVID-19 Situation derzeit nur online via WEBEX:
https://uni-luebeck.webex.com/meet/thomas.martinetz
Das Seminar findet freitags 12:00 Uhr s.t. statt und dient der
- Darstellung und Diskussion von aktuellen wissenschaftlichen Themen
- Vorstellung von Ergebnissen aus Bachelor- und Masterarbeiten.
Die derzeitige Terminplanung ist in der folgenden Tabelle zusammengefasst:
DATUM | VORTRAGENDE | THEMA DES VORTRAGS |
21.10.2022 | Philipp Steinschulte | Generative Adversarial Networks as Natural Image Prior for visualizing features of classification networks |
28.10.2022 | Thomas Martinetz | Generalization bounds based on sample compression |
04.11.2022 | Christian Thiemann | FLIO - Differentiation of Smokers and Non-smokers Based on Novel Retina Imaging Technology |
11.11.2022 | Christoph Linse | Designing a CNN architecture with very few parameters and what we could learn from it |
18.11.2022 | Thomas Käster | Attention: Hype or Halleluja |
25.11.2022 | Kathleen Anderson | Pairwise Filter Connections Improve the Accuracy of a Convolutional Neural Network |
02.12.2022 | Kai Labusch | Machine Learning @ Berlin State Library |
09.12.2022 | Thilo Stadelmann | In search for a better paradigm: deep learning between excitement, disillusion, and a new hope |
13.01.2023 | Thomas Martinetz | Methoden zum generieren von Daten gemäß gelernter Verteilungen |
20.01.2023 | Erhardt Barth | Welche Eigenschaften haben natürliche Bilder und was waren die Ansätze dazu |
27.01.2023 | Marius Jahrens | Diffusion Models |
03.02.2023 | Hans-Oliver Hansen | Energy based models |
10.02.2023 | Nihat Ay | Information Geometry for Deep Learning |
24.02.2023 | Philipp Grüning | Deep Architectures for Image Generation |
03.03.2023 | Manuel Laufer | A Brief Introduction to Point Cloud Networks |
tba | Dominik Mairhöfer | |
tba | Muhammad Mushtaq | |
tba | Amir Madany | |
14.1.2022 | Christian Thiemann | Overinterpretation reveals image classification model pathologies |
21.1.2022 | Alexandra Korda | Fractal dimension of brain sMRI in first-episode and clinical high-risk patients |
28.1.2022 | Benjamin Coors | Incorporating Prior Knowledge of Invariances into Deep Models for Computer Vision |
11.2.2022 | Lars Scharje | A data-centric approach for improving ambiguous labels |
18.2.2022 | Christoph Linse | Application of handcrafted filters in Convolutional Neural Networks |
25.2.2022 | Thomas Käster | Self-Supervised Learning with Barlow Twins |
4.3.2022 | Celina Schubbe | Body Part Segmentation on RGB-D Images |
11.3.2022 | Lennart Berkel | Collimation Adjustment in X-Ray Diagnostics using Deep Learning |
25.3.2022 | Manuel Laufer & Dominik Mairhöfer | The Current State of the X-Ray Assistent |
1.4.2022 | Philipp Grüning | Architecture Search for Deep Networks |
8.4.2022 | Marius Jahrens | Graph Neural Networks |
6.5.2022 | Erhardt Barth | The OptiVisT project and recognition in videos |
13.5.2022 | Muhammad Mushtaq | Cortical stimulation effects on sleep spindles during NREM sleep |
20.5.2022 | Hans-Oliver Hansen | Self-supervised Learning |
3.6.2022 | Hajo Nils Krabbenhöft | German Speech Recognition – Build your own State of the Art |
1.7.2022 | Amir Madany | The DREAM Olfaction Prediction Challenge |
8.7.2022 | Marvin Raasch | Automatische Winkel-Quantifizierung der Sylvischen Furche in standardisierten Ultraschallbildern der vorderen koronalen Ebenen durch Deep Learning" |
2021 | VORTRAGENDE | THEMA DES VORTRAGS |
5.3.2021 | Hans-Oliver Hansen, M.Sc. | Deep Image Priors |
19.3.2021 | Dr. Thomas Käster / Christoph Schlichting, B.Sc. | Multi-Label Image Recognition |
26.3.2021 | Christoph Linse, M.Sc. | COVID-Nets: Deep CNN Architectures for Detecting COVID-19 from Chest CT Scans |
9.4.2021 | Manuel Laufer, M.Sc. | ToF Cameras for Quality Assessment of Ankle Positioning |
23.4.2021 | Dominik Mairhöfer, M.Sc. | Diagnostic Quality Assessment of Ankle Radiographs |
7.5.2021 | Muhammad Mushtaq, M.Sc. | Thalamocortical model for slow oscillations |
21.5.2021 | Marius Jahrens, M.Sc. | Generalized Architecture Search and Architecture Learning |
28.5.2021 | Philipp Grüning, M.Sc. | FP-nets and Vision |
4.6.2021 | Prof. Dr. Erhardt Barth / Philipp Grüning, M.Sc. | FP-nets and Hyper-Selectivity |
11.6.2021 | PD Dr. Amir Madany | Deep Learning in Higher Education |
9.7.2021 | Prof. Dr. Thomas Martinetz | Generalization of over-parameterized classifiers |
23.7.2021 | Christian Thiemann, M.Sc. | Automatische Detektion monoklonaler Banden bei Immunfixationselektrophorese |
6.8.2021 | Hans-Oliver Hansen, M.Sc. | Hopfield-Layer |
20.8.2021 | Prof. Dr. Thomas Martinetz | Neural Tangent Kernels |
3.9.2021 | Dr. Thomas Käster | Meta Pseudo Labels |
24.9.2021 | Christoph Linse, M.Sc. | A walk in the blackbox - 3D visualization methods for CNNs |
1.10.2021 | Manuel Laufer, M.Sc. | Generating synthetic depth images from CT data |
8.10.2021 | Dominik Mairhöfer, M.Sc. | Spatial Transformer Networks for Spatial Attention |
22.10.2021 | Muhammad Mushtaq, M.Sc. | Slow oscillations and sleep spindles in human sleep study |
29.10.2021 | Marius Jahrens, M.Sc. | DINO: Emerging Properties in Self-Supervised Vision Transformers |
5.11.2021 | Philipp Grüning, M.Sc. | Graph Neural Networks for Asthma Classification |
12.11.2021 | Prof. Dr. Erhardt Barth | The Riemann Machine |
3.12.2021 | Hans-Oliver Hansen, M.Sc. | Vision Transformer, MLP-Mixer und ConvMixer |
10.12.2021 | Norman Scheel, PhD | Neuroimaging of aging, dementia, and Alzheimer’s Disease |
17.12.2021 | PD Dr. Amir Madany |

- LEHRE
- aktuelle Lehrveranstaltungen
- Lunch-Seminar
- Archiv Lehre