16 citations · 18 across the 14 of their papers we have counts for
6 papers · 1 filter
TT4D: A Pipeline and Dataset for Table Tennis 4D Reconstruction From Monocular Videos
Nima Rahmanian, Daniel Kienzle, Thomas Gossard +3
We present TT4D, a large-scale, high-fidelity table tennis dataset. It provides hours of reconstructed singles and doubles gameplay from monocular broadcast videos, featurin…
BlurBall: Joint Ball and Motion Blur Estimation for Table Tennis Ball Tracking
Thomas Gossard, Filip Radovic, Andreas Ziegler +1
Motion blur reduces the clarity of fast-moving objects, posing challenges for detection systems, especially in racket sports, where balls often appear as streaks rather than distin…
BiasBench: A reproducible benchmark for tuning the biases of event cameras
Andreas Ziegler, David Joseph, Thomas Gossard +2
Event-based cameras are bio-inspired sensors that detect light changes asynchronously for each pixel. They are increasingly used in fields like computer vision and robotics because…
TT3D: Table Tennis 3D Reconstruction
Thomas Gossard, Andreas Ziegler, Andreas Zell
Sports analysis requires processing large amounts of data, which is time-consuming and costly. Advancements in neural networks have significantly alleviated this burden, enabling h…
Table tennis ball spin estimation with an event camera
Thomas Gossard, Julian Krismer, Andreas Ziegler +2
Spin plays a pivotal role in ball-based sports. Estimating spin becomes a key skill due to its impact on the ball's trajectory and bouncing behavior. Spin cannot be observed direct…
SpinDOE: A ball spin estimation method for table tennis robot
Thomas Gossard, Jonas Tebbe, Andreas Ziegler +1
Spin plays a considerable role in table tennis, making a shot's trajectory harder to read and predict. However, the spin is challenging to measure because of the ball's high veloci…