Name: Daniele Cattaneo
Type: User
Company: University of Freiburg
Bio: Research Group Leader at University of Freiburg.
Focus on deep learning for vision-based and LiDAR-based localization, self-driving cars, and sensor fusion.
Location: Germany
Blog: https://rl.uni-freiburg.de/people/cattaneo
Daniele Cattaneo's Projects
Code for "CMRNet: Camera to LiDAR-Map Registration" (ITSC 2019)
a SLAM implementation combining FAST-LIO2 with pose graph optimization and loop closing based on LIO-SAM paper
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.
Pytorch implementation of MaskFlownet
PyTorch implementation of https://github.com/charlesq34/pointnet2
Pytorch implementation of PointNetVlad
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Custom implementation of Corrleation Module
SECOND for KITTI object detection
SO-Net: Self-Organizing Network for Point Cloud Analysis, CVPR2018