% generated by bibtexbrowser % % Encoding: UTF-8 @inproceedings{Peeken-et-al-2017, author = {J.C. Peeken and C. Knie and V. Golkov and K. Kessel and F. Pasa and Q. Khan and M. Seroglazov and J. Kukačka and T. Goldberg and L. Richter and J. Reeb and B. Rost and F. Pfeiffer and D. Cremers and F. Nüsslin and S.E. Combs}, title = {Establishment of an interdisciplinary workflow of machine learning-based Radiomics in sarcoma patients}, year = {2017}, booktitle = {23. Jahrestagung der Deutschen Gesellschaft für Radioonkologie (DEGRO)}, keywords = {deep learning, medical imaging}, } @inproceedings{Golkov-et-al-ismrm2018-global, author = {V. Golkov and P. Swazinna and M. M. Schmitt and Q. A. Khan and C. M. W. Tax and M. Serahlazau and F. Pasa and F. Pfeiffer and G. J. Biessels and A. Leemans and D. Cremers}, title = {{q-Space} Deep Learning for {A}lzheimer's Disease Diagnosis: Global Prediction and Weakly-Supervised Localization}, year = {2018}, booktitle = {International Society for Magnetic Resonance in Medicine ({ISMRM}) Annual Meeting}, keywords = {deep learning, machine learning, medical imaging, magnetic resonance imaging, diffusion MRI, weakly-supervised learning, localization}, } @inproceedings{wenzel18corl, author = {P. Wenzel and Q. Khan and D. Cremers and L. Leal-Taixé}, booktitle = {Conference on Robot Learning ({CoRL})}, title = {Modular Vehicle Control for Transferring Semantic Information Between Weather Conditions Using {GANs}}, year = {2018}, keywords = {deep learning}, } @article{gn-net-2020, author = {L. von Stumberg and P. Wenzel and Q. Khan and D. Cremers}, title = {{GN-Net}: The Gauss-Newton Loss for Multi-Weather Relocalization}, journal = {{IEEE} Robotics and Automation Letters ({RA-L})}, year = {2020}, volume = {5}, number = {2}, pages = {890-897}, keywords = {gn-net, vslam, deep learning}, } @inproceedings{control-across-weathers-19, author = {Q. Khan and P. Wenzel and D. Cremers and L. Leal-Taixé}, title = {Towards Generalizing Sensorimotor Control Across Weather Conditions}, booktitle = {Proceedings of the {IEEE/RSJ} International Conference on Intelligent Robots and Systems ({IROS})}, year = {2019}, keywords = {deep learning}, } @inproceedings{wenzel2020fourseasons, title = {{4Seasons}: A Cross-Season Dataset for Multi-Weather {SLAM} in Autonomous Driving}, author = {P. Wenzel and R. Wang and N. Yang and Q. Cheng and Q. Khan and L. von Stumberg and N. Zeller and D. Cremers}, booktitle = {Proceedings of the German Conference on Pattern Recognition ({GCPR})}, year = {2020}, keywords = {vslam,4seasons, deep learning}, } @inproceedings{selfcontrol-aistats-2021, author = {Q. Khan and P. Wenzel and D. Cremers}, title = {Self-Supervised Steering Angle Prediction for Vehicle Control Using Visual Odometry}, booktitle = {International Conference on Artificial Intelligence and Statistics ({AISTATS})}, year = {2021}, keywords = {deep learning}, } @inproceedings{pccontrol_2022, title = {Lateral Ego-Vehicle Control Without Supervision Using Point Clouds}, author = {F Müller and Q Khan and D Cremers}, booktitle = {Pattern Recognition and Artificial Intelligence}, publisher = {Springer International Publishing}, keywords = {deep learning}, pages = {477--488}, isbn = {978-3-031-09037-0}, year = {2022}, } @inproceedings{pathfinding_2022, title = {Biologically Inspired Neural Path Finding}, author = {L Hang and Q Khan and V Tresp and D Cremers}, booktitle = {Brain Informatics}, publisher = {Springer International Publishing}, keywords = {deep learning}, year = {2022}, } @inproceedings{ventriloquist_2022, title = {Ventriloquist-Net: Leveraging Speech Cues for Emotive Talking Head Generation}, author = {D Das and Q Khan and D Cremers}, booktitle = {IEEE International Conference on Image Processing}, keywords = {deep learning}, year = {2022}, } @article{nndriving2023, title = {Learning vision based autonomous lateral vehicle control without supervision}, author = {Q Khan and I Sülö and M Öcal and D Cremers}, journal = {Applied Intelligence}, pages = {1--13}, year = {2023}, publisher = {Springer}, keywords = {intelligent driving, neural networks, deep learning}, } @inproceedings{lidarsynthesis2023, title = {LiDAR View Synthesis for Robust Vehicle Navigation Without Expert Labels}, booktitle = {IEEE 26th International Conference on Intelligent Transportation Systems}, author = {J Schmidt and Q Khan and D Cremers}, year = {2023}, keywords = {neural networks, deep learning, lidar }, } @inproceedings{multiagent2023, title = {Multi Agent Navigation in Unconstrained Environments Using a Centralized Attention Based Graphical Neural Network Controller}, booktitle = {IEEE 26th International Conference on Intelligent Transportation Systems}, author = {Y Ma and Q Khan and D Cremers}, year = {2023}, keywords = {neural networks, deep learning, multi-agent control}, } @article{vehiclepursuit2023, author = {J Pan and C Zhou and M Gladkova and Q Khan and D Cremers}, title = {Robust Autonomous Vehicle Pursuit without Expert Steering Labels}, journal = {{IEEE} Robotics and Automation Letters ({RA-L})}, year = {2023}, volume = {8}, number = {10}, pages = {6595 - 6602}, keywords = {vehicle pursuit, deep learning}, } @inproceedings{compreason2024, title = {Enhancing Multimodal Compositional Reasoning of Visual Language Models with Generative Negative Mining}, booktitle = {IEEE Winter Conference on Applications of Computer Vision (WACV}, author = {U Sahin and H Li and Q Khan and D Cremers and T Volker}, year = {2024}, keywords = {neural networks, deep learning, Large Language Models}, } @article{multivehicle2023, title = {Multi-vehicle trajectory prediction and control at intersections using state and intention information}, author = {D Zhu and Q Khan and D Cremers}, journal = {Neurocomputing}, pages = {127220}, year = {2024}, publisher = {Elsevier}, keywords = {deep learning}, }