activities
A collection of my professional and academic activities
talks and lectures
- Scalable 3D Scene Understanding for Autonomous Driving, Munich University of Applied Science, Germany, November 2022
- Domain Adaptation for Automotive 3D Scene Understanding, Autonomous Driving Meetup, Munich, Germany, Sept 2022
- Guest Lecture on (Convolutional) Neural Networks in “Digital Image Processing”, University of Stuttgart, Germany, June 2022
- Quantifying point cloud realism through adversarially learned latent representations, German Conference on Pattern Recognition (GCPR), virtual, Oct 2021 (video)
- Deep domain adaptation for LiDAR perception, Workshop Autonomy at Scale, Intelligent Vehicles Symposium (IV), virtual, June 2021 (more)
organizer and editor
- Third Workshop Autonomy@Scale, IEEE Intelligent Vehicles Symposium, Associate Editor and Organizer, Anchorage, USA, June 2023 (more)
- Second Workshop Autonomy@Scale, IEEE Intelligent Vehicles Symposium, Associate Editor and Organizer, Aachen, Germany, June 2022 (more)
supervised students
- Peizheng Li (doctoral thesis on open world object detection for automated vehicles), 2023 - present
- Abinav Kalyanasundaram (master thesis on uncertainty estimation for open set detection in camera images), 2022
- Bjarne Johannsen (master thesis on domain invariant feature learning via geometric cues for cross-sensor semantic segmentation of LiDAR point clouds), 2021/22
- Andre Bühler (master thesis on GAN-based synthesis of 3D point clouds conditioned on continuous object dimensions), 2021
- Ahmed Agha (internship about cross-sensor domain translation of 3D LiDAR point clouds), 2020
competitions
- Google Hash Code: my teammates (Christoph Rist, Stefan Baur, David Emmerichs) and I participated together in 2019, 2020, 2021, 2022
- Zeiss and KIT Robotics Innovation Competition, a 24-hour hackathon in teams of four where we had to solve the cup game with a camera and a robot arm, 2018