Biografie
I am a Machine Learning Research Engineer at Merantix Momentum, where I mainly work on self-supervised approaches for computer vision. I also host the monthly paper discussion group at the AI Campus Berlin. I completed my master's in Robotics, Cognition, Intelligence at the Technical University of Munich (TUM). During my studies, I was a Research Fellow in the Harvard Biorobotics Lab and the Mechatronics in Medicine Lab at Imperial College London. I hold a B.Sc. in Engineering Science, an interdisciplinary engineering program from TUM. I love taking carefully engineered photographs. My photos often reflect my passion for architecture. All the photos were shot on a Leica M3 with a Summicron-M f2 from the 1950s. All images on this website are copyright © 2022 Alexander Koenig. If you would like to use the photos and get high-res versions, please get in touch.
Publikationen
A. Koenig, M. Schambach, and J. Otterbach "Uncovering the Inner Workings of STEGO for Safe Unsupervised Semantic Segmentation" In: Workshop on Safe Artificial Intelligence for All Domains at IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), 2023
A. Koenig, Z. Liu, L. Janson and R. Howe "The Role of Tactile Sensing in Learning and Deploying Grasp Refinement Algorithms" In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022
A. Koenig, Z. Liu, L. Janson and R. Howe "Tactile Sensing and its Role in Learning and Deploying Robotic Grasping Controllers" In: Workshop on Reinforcement Learning for Contact-Rich Manipulation at IEEE International Conference on Robotics and Automation (ICRA), 2022
A. Koenig, F. Rodriguez y Baena and R. Secoli "Gesture-Based Teleoperated Grasping for Educational Robotics" In: IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), 2021.
Präsentationen
"CVPR 2023 Conference Retrospective" at AI Campus Berlin, 2023 "High-Performance Data Loading for Machine Learning Workloads with Squirrel" at Siemens AI Colloquium, 2022
I am a Machine Learning Research Engineer at Merantix Momentum, where I mainly work on self-supervised approaches for computer vision. I also host the monthly paper discussion group at the AI Campus Berlin. I completed my master's in Robotics, Cognition, Intelligence at the Technical University of Munich (TUM). During my studies, I was a Research Fellow in the Harvard Biorobotics Lab and the Mechatronics in Medicine Lab at Imperial College London. I hold a B.Sc. in Engineering Science, an interdisciplinary engineering program from TUM. I love taking carefully engineered photographs. My photos often reflect my passion for architecture. All the photos were shot on a Leica M3 with a Summicron-M f2 from the 1950s. All images on this website are copyright © 2022 Alexander Koenig. If you would like to use the photos and get high-res versions, please get in touch.
Publikationen
A. Koenig, M. Schambach, and J. Otterbach "Uncovering the Inner Workings of STEGO for Safe Unsupervised Semantic Segmentation" In: Workshop on Safe Artificial Intelligence for All Domains at IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), 2023
A. Koenig, Z. Liu, L. Janson and R. Howe "The Role of Tactile Sensing in Learning and Deploying Grasp Refinement Algorithms" In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022
A. Koenig, Z. Liu, L. Janson and R. Howe "Tactile Sensing and its Role in Learning and Deploying Robotic Grasping Controllers" In: Workshop on Reinforcement Learning for Contact-Rich Manipulation at IEEE International Conference on Robotics and Automation (ICRA), 2022
A. Koenig, F. Rodriguez y Baena and R. Secoli "Gesture-Based Teleoperated Grasping for Educational Robotics" In: IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), 2021.
Präsentationen
"CVPR 2023 Conference Retrospective" at AI Campus Berlin, 2023 "High-Performance Data Loading for Machine Learning Workloads with Squirrel" at Siemens AI Colloquium, 2022