Invited Presentations

Autor Titel Where Year Link
Axel Jantsch DNN partitioning for IoT nodes APROPOS Summer School 2023 pdf, opens an external URL in a new window
Axel Jantsch Embedded machine learning AVL Tech Trends 2022 pdf, opens an external URL in a new window
Axel Jantsch Efficient inference at the edge TECoSA Seminar at the Center for Trustworthy Edge Computing Systems and Applications 2022 pdf, opens an external URL in a new window
Axel Jantsch and Zhonghai Lu Embedded machine learning Summer School on Cyber-Physical Systems and Internet-of-Things 2022 pdf, opens an external URL in a new window
Axel Jantsch Embedded machine learning AVL Open Networking Day 2021 pdf, opens an external URL in a new window
Horst Bischof Computer vision for detection and tracking Summer School on AI Enabled Mobility 2020  
Axel Jantsch Embedded machine learning Summer School on AI Enabled Mobility 2020 pdf, opens an external URL in a new window

 

Journal Articles

Autor Titel Journal Year Link
Martin Lechner and Axel Jantsch Blackthorn: Latency Estimation Framework for CNNs on Embedded Nvidia Platforms IEEE Access 2021 DOI, opens an external URL in a new window pdf, opens an external URL in a new window
Matthias Wess, M. Ivanov, C. Unger, A. Nookala, Alexander Wendt, and Axel Jantsch Annette: Accurate neural network execution time estimation with stacked models IEEE Access 2021 DOI, opens an external URL in a new window pdf, opens an external URL in a new window
Amid Mozelli, Nima Taherinejad, and Axel Jantsch A study on confidence: an unsupervised multi-agent machine learning experiment IEEE Design & Test of Computers 2021 DOI, opens an external URL in a new window
Nima TaheriNejad, Andreas Herkersdorf, and Axel Jantsch Autonomous systems, trust and guarantees IEEE Design Test, pages 1–1 2020 DOI, opens an external URL in a new window pdf, opens an external URL in a new window
Henrik Hoffmann, Axel Jantsch, and Nikil D. Dutt Embodied self-aware computing systems IEEE, pages 1–20 2020 DOI, opens an external URL in a new window pdf, opens an external URL in a new window
Kerstin Bellman, Nikil Dutt, Lukas Esterle, Andreas Herkersdorf, Axel Jantsch, C. Landauer, P. R.Lewis, M. Platzner, N. TaheriNejad, and K. Tammemäe Self-aware cyber-physical systems ACM Transactions on Cyber-Physical Systems, 4(4):1–24 2020 DOI, opens an external URL in a new window

 

Conference Papers

Autor Titel Conference Year Link
Matthias Bittner, Andreas Hinterreiter, Klaus Eckelt, Marc Streit Explainable Long- and Short-term Pattern Detection in Projected Sequential Data ECML PKDD Workshop on Explainable AI for Time Series: Advances and Applications 2023 DOI, opens an external URL in a new window

Matthias Bittner, Sanaa Hobeichi, Muhammad Zawish, Samo Diatta, Remigious Ozioko, Sharon Xu, Axel Jantsch

An LSTM-based downscaling framework for australian precipitation projections

eurIPS 2023 Workshop: Tackling Climate Change with Machine Learning at the Conference on Neural Information Processing Systems

 2023 pdf, opens an external URL in a new window

Matthias Bittner, Daniel Hauer, Christian Stippel, Katharina Scheucher, Robin Sudhoff, Axel Jantsch

 Forecasting critical overloads based on heterogeneous smart grid simulation International Conference on Machine Learning and Applications (IEEE and AMLA) 2023 pdf, opens an external URL in a new window
David Breuss, Maximilian Götzinger, Jenny Vuong, Clemens Reisner, and Axel Jantsch VADAR: A Vision-based Anomaly Detection Algorithm for Railroads 26th Euromicro Conference on Digital System Design (DSD) 2023 pdf, opens an external URL in a new window
Christian Fruhwirth-Reisinger, Wei Lin, Dusan Malic, David Schinagl, Georg Krispel, Horst Possegger, Horst Bischof Unsupervised Class-aware 3D Object Detection in LiDAR Point Clouds Conference on Neural Information Processing Systems (NeurIPS) 2023  
Stefan Leitner, M Jehanzeb Mirza, Wei Lin, Jakub Micorek, Marc Masana, Mateusz Kozinski, Horst Possegger, Horst Bischof Sit Back and Relax: Learning to Drive Incrementally in All Weather Conditions IEEE Intelligent Vehicle Symposium (IV) 2023 pdf, opens an external URL in a new window
David Schinagl, Georg Krispel, Christian Fruhwirth-Reisinger, Horst Possegger, Horst Bischof GACE: Geometry Aware Confidence Enhancement for Black-box 3D Object Detectors on LiDAR-Data International Conference on Computer Vision (ICCV) 2023 pdf, opens an external URL in a new window
Martin Lechner, Axel Jantsch OptiSim: A Hardware-Aware Optimization Space Exploration Tool for CNN Architectures ITEM Workshop at ECML PKDD 2023  
Daniel Schnöll, Matthias Wess, Matthias Bittner, Maximilian Götzinger, Axel Jantsch Fast, Quantization Aware DNN Training for Efficient HW Implementation DSD Conference 2023 pdf, opens an external URL in a new window
Matthias Wess, Dominik Dallinger, Daniel Schnöll, Matthias Bittner, Maximilian Götzinger, Axel Jantsch Energy Profiling of DNN Accelerators DSD Conference 2023 pdf, opens an external URL in a new window
Thomas Kotrba, Martin Lechner, Omair Sarwar and Axel Jantsch Multispectral Feature Fusion for Deep Object Detection on Embedded NVIDIA Platforms DATE Conference 2023 pdf, opens an external URL in a new window
Muhammad Jehanzeb Mirza, Inkyu Shin, Wei Lin, Andreas Schriebl, Kunyang Sun, Jaesung Choe, Horst Possegger, Mateusz Kozinski, In So Kweon, Kun-Jin Yoon, Horst Bischof MATE: Masked Autoencoders are Online 3D Test-Time Learners International Conference on Computer Vision (ICCV) 2023 pdf, opens an external URL in a new window
Wei Lin, Muhammad Jehanzeb Mirza, Mateusz Kozinski, Horst Possegger, Hilde Kuehne, Horst Bischof Video Test-Time Adaptation for Action Recognition Conference on Computer Vision and Pattern Recognition (CVPR) 2023 pdf, opens an external URL in a new window
Muhammad Jehanzeb Mirza, Pol Jané Soneira, Wei Lin, Mateusz Kozinski, Horst Possegger, Horst Bischof ActMAD: Activation Matching to Align Distributions for Test-Time-Training Conference on Computer Vision and Pattern Recognition (CVPR) 2023 pdf, opens an external URL in a new window
Dusan Malić, Christian Fruhwirth-Reisinger, Horst Possegger, Horst Bischof SAILOR: Scaling Anchors via Insights into Latent Object Representation Winter Conference on Applications of Computer Vision (WACV) 2023 pdf, opens an external URL in a new window
Martin Lechner, Lukas Steindl, Axel Jantsch Study of DNN-based Ragweed Detection from Drones SAMOS Conference 2022 pdf, opens an external URL in a new window
Muhammad Jehanzeb Mirza, Marc Masana, Horst Possegger, Horst Bischof An Efficient Domain-Incremental Learning Approach to Drive in All Weather Conditions Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) 2022 pdf, opens an external URL in a new window
Muhammad Jehanzeb Mirza, Jakub Micorek, Horst Possegger, Horst Bischof The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization Conference on Computer Vision and Pattern Recognition (CVPR) 2022 pdf, opens an external URL in a new window
David Schinagl, Georg Krispel, Peter Roth, Horst Possegger, Horst Bischof OccAM’s Laser: Occlusion-based Attribution Maps for 3D Object Detectors on LiDAR Data Conference on Computer Vision and Pattern Recognition (CVPR) 2022 pdf, opens an external URL in a new window
Christian Fruhwirth-Reisinger, Michael Opitz, Horst Possegger and Horst Bischof FAST3D: Flow-Aware Self-Training for 3D Object Detectors British Machine Vision Conference (BMVC) 2021 pdf, opens an external URL in a new window
A. Glinserer, M. Lechner and A. Wendt Automated Pruning of Neural Networks for Mobile Applications IEEE 19th International Conference on Industrial Informatics (INDIN), pp. 1-6 2021 pdf, opens an external URL in a new window
Muhammad Jehanzeb Mirza, Cornelius Buerkle, Julio Jarquin, Michael Opitz, Fabian Oboril, Kay-Ulrich Scholl, and Horst Bischof Robustness of Object Detectors in Degrading Weather Conditions International Conference on Intelligent Transportation Systems (ITSC) 2021 pdf, opens an external URL in a new window
Bernhard Haas, Alexander Wendt, Axel Jantsch, and Matthias Wess Neural network compression through shunt connections and knowledge distillation for semantic segmentation problems AIAI 2021, 17th International Conference on Artificial Intelligence Applications and Innovations, volume 1 2021 DOI, opens an external URL in a new window
Georg Krispel, Michael Opitz, Georg Waltner, Horst Possegger, and Horst Bischof Fuseseg: Lidar point cloud segmentation fusing multi-modal data Winter Conference on Applications of Computer Vision (WACV) 2020 pdf, opens an external URL in a new window
Stefan Holly, Alexander Wendt, and Martin Lechner Profiling energy consumption of deep neural networks on nvidia jetson nano 11th International Green and Sustainable ComputingWorkshops (IGSC), pages 1–6 2020 DOI, opens an external URL in a new window
Alexander Wendt, Marco Wuschnig, and Martin Lechner Speeding up common hyperparameter optimization methods by a two-phase-search IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society, pages 517–522 2020 http, opens an external URL in a new window
Alexander Wendt, Stefan Kollmann, Aleksey Bratukhin, Alireza Estaji, Thilo Sauter, and Axel Jantsch Cognitive architectures for process monitoring - an analysis 18thIEEE International Conference on Industrial Informatics, pages 167–173 2020 pdf, opens an external URL in a new window
Christian Fruhwirth-Reisinger, Georg Krispel, Horst Possegger, and Horst Bischof Towards data-driven multi-target tracking for autonomous driving Computer Vision Winter Workshop (CVWW) 2020 pdf, opens a file in a new window

 

Bachelor- and Mastertheses

Author Title Type Year Link
Thomas Kotrba Simultanous multispectral detection of objects Mastertheses 2023 reposiTUm, opens an external URL in a new window
Alex Ludwig Optimizing of siamese object tracking networks Mastertheses 2023 reposiTUm, opens an external URL in a new window
Lukas Steindl Optimizing deep neural networks for efficient dronebased ragweed detection Mastertheses 2022 reposiTUm, opens an external URL in a new window
Nicolas Alge Power Profiling of Machine Learning Accelerators using MLPerf Bachelortheses 2022 http, opens an external URL in a new window
David Radu Andrei Real time simultaneous face detection and pose estimation Bachelortheses 2022  
Julian Westra Optimization of a deep neural network on intel OpenVino for a pedestrian detection algorithm Bachelortheses 2022  
Alon Tchelet Embedded High Speed Object Detection with Quantized Neural Networks Mastertheses 2022  
Fabian Scherer FPGA evaluation of YOLO object detection. Bachelortheses 2021  
Michael Optiz (TU Graz) Efficient Ensembles for Deep Learning PhD 2021 pdf, opens an external URL in a new window
Amid Mozelli  A Study on Confidence: an Unsupervised Multi-Agent Machine Learning Experiment Bachelortheses 2021  
Andreas Glinserer Autopruning with intel distiller and evaluation on a Jetson Xavier AGX Mastertheses 2021 reposiTUm, opens an external URL in a new window
Bernhard Haas Compressing MobileNet with shunt connections for NVIDIA hardware Mastertheses 2021 reposiTUm, opens an external URL in a new window
Lukas Baischer FPGA Based Embedded Neural Network Object Detector Mastertheses 2021 reposiTUm, opens an external URL in a new window
Dominik Dallinger FPGA optimized dynamic post-training quantization of TinyYoloV3 Bachelortheses 2021 pdf, opens an external URL in a new window
Matvey Ivanov Embedded Machine Learning Demonstrator Bachelortheses 2021 pdf, opens an external URL in a new window
Marco Leber-Wuschnig Auswertung verschiedener Methoden der Hyperparameteroptimierung in Machine Learning Bachelortheses 2020 pdf, opens an external URL in a new window
Alemajehu Kaleab Kinfu (TU Graz) Lifelong Learning for Autonomous Vehicles: Monocular Depth Estimation Mastertheses 2020  
Anam Zahra (TU Graz) Autonomous Vehicle Self-localization in Noisy Environments Mastertheses 2020