Welcome to the AIT Lab where AI meets Interactive Technologies. We do research at the intersection of Machine Learning, Computer Vision and Human Computer Interaction (HCI). Our main mission is to develop new ways for humans to interact with complex interactive systems (computers, wearables, robots), powered by advanced algorithms and technologies in machine perception, planning and data driven user modelling. Please see research and publications for more information.
The AIT Lab, led by Prof. Dr. Otmar Hilliges, is within the Department of Computer Science at ETH Zurich. The group is jointly affiliated with the Institute of Visual Computing and Institute of Pervasive Computing.
- We have two papers accepted conditionally at ACM UIST'19.
- We will be presenting three papers at SIGGRAPH'19. One on quadrotor motion planning for 3D reconstruction, one on deformation capture via capacitive arrays, and one on applying this to hand pose estimation using a soft printable glove.
- Xu Chen joins the AIT lab. Welcome!
- Our paper on generative modeling of time-series is accepted to ICLR'19.
- Prof. Dr. Otmar Hilliges serves as General Chair at ISMAR'18
- Thomas Langerak joins the AIT lab. Welcome!
- One paper on real-time human pose estimation from sparse IMUs and one paper on a drone-based motion capture system (Flycon) accepted at SIGGRAPH Asia'18.
- David Lindlbauer joins the AIT lab. Welcome!
- Anna Feit joins the AIT lab. Welcome!
Open PostDoc positions
We are currently looking for 2 post-docs with a background in either i) machine learning, bayesian optimisation, active learning, variational methods, deep-learning or related areas or ii) computer vision, graphics, robotics, numerical methods or physical simulation.
Excellent programming skills in C++ or other high-level language are expected and experience in Matlab, Python, OpenGL, or CUDA are beneficial. Fluent communication skills (written and presentation) in English are essential.
Positions are fully funded (via ERC starting grant) and are available to those of any nationality (some knowledge of German is beneficial but not essential). For more details see how to apply.