[CVPR'19] Dataset and code used in the research project Scan2CAD: Learning CAD Model Alignment in RGB-D Scans

Volumetric structures such as voxels and SDFs implemented in pytorch

Explore object recognition, segmentation, and how to process depth data from camera sensors to help a robot better understand and navigate its world.

Create customized voxel representations of protein-ligand complexes using GPU.

Batch multidimensional indexing for pytorch

Object Detection pipeline implemented using the Voxel Grid and ROI based filtering, 3D RANSAC segmentation, Euclidean clustering based on KD-Tree, and bounding boxes, by processing Point Cloud data from LiDAR sensor.

A machine Learning project that turns a 2D images into 3D voxels using tensorflow implemented AutoEncoder

Point Cloud Library Tutorial with ROS

Repo du projet du cours IFT3150