Search Results for author:
Found 3 papers, 3 papers with code
Lidar Panoptic Segmentation and Tracking without Bells and Whistles
Our network is modular by design and optimized for all aspects of both the panoptic segmentation and tracking task.
Differentiable Raycasting for Self-supervised Occupancy Forecasting
Self-supervised representations proposed for large-scale planning, such as ego-centric freespace, confound these two motions, making the representation difficult to use for downstream motion planners.
What You See is What You Get: Exploiting Visibility for 3D Object Detection
On the NuScenes 3D detection benchmark, we show that, by adding an additional stream for visibility input, we can significantly improve the overall detection accuracy of a state-of-the-art 3D detector.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
