Talk by R. Marcuzzi: Mask4D: End-to-End Mask-Based 4D Panoptic Segmentation for LiDAR Data (ICRA'24)

ICRA'24 Talk for the paper:
R. Marcuzzi, L. Nunes, L. Wiesmann, E. Marks, J. Behley, and C. Stachniss, “Mask4D: End-to-End Mask-Based 4D Panoptic Segmentation for LiDAR Sequences,” IEEE Robotics and Automation Letters (RA-L), vol. 8, iss. 11, pp. 7487-7494, 2023. doi:10.1109/LRA.2023.3320020
PDF: www.ipb.uni-bonn.de:25000/wp-...
CODE: github.com/PRBonn/Mask4D

[@nova2577]

very nice!

[@yevgeniysimonov5906]

It is exciting how far the development in perception space advanced over the years. The mixture of deep learning and classical processing algorithms is indeed a very powerful approach.