20 results on '"Georg Hess"'
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2. Are NeRFs ready for autonomous driving? Towards closing the real-to-simulation gap.
3. LidarCLIP or: How I Learned to Talk to Point Clouds.
4. Zenseact Open Dataset: A large-scale and diverse multimodal dataset for autonomous driving.
5. Masked Autoencoder for Self-Supervised Pre-training on Lidar Point Clouds.
6. SplatAD: Real-Time Lidar and Camera Rendering with 3D Gaussian Splatting for Autonomous Driving.
7. Are NeRFs ready for autonomous driving? Towards closing the real-to-simulation gap.
8. Deep Learning for Model-Based Multiobject Tracking.
9. Object Detection as Probabilistic Set Prediction.
10. Zenseact Open Dataset: A large-scale and diverse multimodal dataset for autonomous driving.
11. Transformer-Based Multi-Object Smoothing with Decoupled Data Association and Smoothing.
12. NeuRAD: Neural Rendering for Autonomous Driving.
13. Next Generation Multitarget Trackers: Random Finite Set Methods vs Transformer-based Deep Learning.
14. Trajectory Generation for Mobile Robots in a Dynamic Environment using Nonlinear Model Predictive Control.
15. LidarCLIP or: How I Learned to Talk to Point Clouds.
16. Object Detection as Probabilistic Set Prediction.
17. Masked Autoencoders for Self-Supervised Learning on Automotive Point Clouds.
18. Can Deep Learning be Applied to Model-Based Multi-Object Tracking?
19. Deep Deterministic Path Following.
20. Next Generation Multitarget Trackers: Random Finite Set Methods vs Transformer-based Deep Learning.
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