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This page lists previous theses written in the AIML group, including links to the published thesis documents.
Very good theses are marked in bold font.
| Name | Topic | Publication |
|---|---|---|
| Dennys Huber | OpenMax with Clustering for Open-Set Classification | Thesis (PDF, 4 MB) |
| Name | Topic | Publication |
|---|---|---|
| Johanna Bieri | Visualization of Facial Attribute Classifiers via Class Activation Mapping | |
| Lars Bösch | Suppressing the Extraction of Features from Unknown Samples | Thesis (PDF, 7 MB) |
|
Uros Dimitrijevic |
Adversarial Training for Improved Adversarial Stability in Open-Set Networks | Merlin: 24094 |
| Name | Topic | Publication |
|---|---|---|
| Matthias Mylaeus | Low-Resolution Face Recognition Using Rank Lists |
| Name | Topic | Publication |
|---|---|---|
| Ramize Abdili | Stability Analysis of Facial Attributes for Improved Face Recognition | |
| Lara Fried | Optical Flow with Gabor Jets | |
| Micheal Pablo Hodel | Adversarial Training with Layerwise Origin-Target Synthesis |
|
|
Raffael Mogicato |
Correlation Analysis of Facial Attributes; with Respect to Face Identity | |
| Dominic Schmidli | Face Recognition Aspects with DNNs -- An Experimental and Reproducible Research Survey | |
|
Jan Schnyder |
Deep Adversarial Training for Teaching Networks to Reject Unknown Inputs | |
| Tom Marco Wartmann | Frontal to Profile Face Recognition with Rank Lists |
| Name | Topic | Publication |
|---|---|---|
| Gabriele Brunini | Deep Learning with Temporal Context for Sleep Stage Classification | Merlin: 23970 |
|
Eduard Cuba |
Pattern Recognition for Particle Shower Reconstruction | Merlin: 23612 |
| Emine Didem Durukan | Forest Drought Prediction based on Spatio-temporal Satellite Imagery and Weather Forecasts | Merlin: 23614 |
| Omnia ElSaadany | Negative Sample Generation for Open-set Text-based Intent Recognition | Merlin: 23557 |
| Özgür Acar Güler | Explaining CNN-Based Active Tuberculosis Detection in Chest X-Rays through Saliency Mapping Techniques | Merlin: 24103 |
| Remo Tobias Hertig | Deep Radial Basis-Function Networks for Open-Set Classification | |
| Raffael Mogicato | Learning Semantics of Classes in Image Classification: Attention-Sharing between Hierarchies | |
| Xiao Tan | Semantic Segmentation of Weakly Labeled Retinal Images | Merlin: 23611 |
| Laurin van den Bergh | Improved Losses for Open-Set Classification | Merlin: 23969 |
| Maximilian Weber | Visualization of Deep Features with Grad-CAM and LOTS | Merlin: 23797 |
| Name | Topic | Publication |
|---|---|---|
|
Kevin Bohn |
Transfer Learning in Small Image Databases | Merlin: 22622 |
| Noah Chavannes | Multi-Target Adversarial Attacks with LOTS | Merlin: 22468 |
| Yingying Chen | Explainable Classification of COVID-19 in Chest X-ray Images | Merlin: 22963 |
| Adrian Iten | Classification of Symbols handwritten by Children | Merlin: 23027 |
| Rohit Kaushik | Portability of Targeted Adversarial Attacks | Merlin: 22451 |
| Mariia Lapaeva | MR-based synthetic CT generation for MR-guided radiotherapy | Merlin: 22446 |
| Yu Linghu | Open-Set Face Recognition with Entropic Open-Set Loss | Merlin: 22304 |
| Andres Palechor | Adversarial Training for Open-Set Classification | Merlin: 22396 |
| Pratyush Singh | Table Detection and Structure Recognition; A pragmatic approach | Merlin: 22401 |
|
Mike Suter |
Development and Comparison of Open Set Classification Techniques on ImageNet | Merlin: 22689 |
| Qiaowen Wang | Intraoperative Surgical Tool Pose Estimation Based on Fluoroscopic Landmark Detection | Merlin: 23046 |
| Peng Yan | Combined-GAN: Utilizing GAN for Open-Set Recognition by Generating Effective Unknown Samples | Merlin: 22476 |
| Xinyi Zhang | Facial Video Recognition via 3D Convolutional Networks | Merlin: 22314 |
| Name | Topic | Publication |
|---|---|---|
| Annesha Bhoumik | Open-set Classification on ImageNet | Merlin: 21577 |
| Yuang Cheng | Improved Facial Attribute Classification through Selective Test Data Augmentation | |
| Pascal Engeli | Stabilizing Non-Maximum-Suppression | |
| Isabel Margolis | Data Augmentation for Improved Classification in Neural Networks | |
| Vincent A. Rüegge | The Influence of Colour on Image Classification and Face Recognition | |
|
Severin Siffert |
Influence Of Changing Environments On Model-Based Reinforcement Learning Algorithms | Merlin: 21669 |
| Yun Wang | Improved Face Recognition Through Image Perturbation |
