Benjamin Hahn's Projects
Volumetric CNN for feature extraction and object classification on 3D data.
Create a rosbag from a collection of images
README and scripts for the Cityscapes Dataset
FInetuning CLIP for Few Shot Learning
This repository contains implementations and illustrative code to accompany DeepMind publications
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
JAX-based neural network library
Instructions for ETH center for robotics summer school 2019.
3D mapping tools for robotic applications
Fashion MNIST Classification using deep neural networks.
Flax is a neural network library for JAX that is designed for flexibility.
Experiments using generative methods such as VQVAE, PixelCNN, and autoregressive Transformers.
A compact package for undistorting images directly from kalibr calibration files. Can also perform dense stereo estimation
Kinematics and Dynamics for Robotics
This package provides an end-to-end system to laser-based graph SLAM using laser point clouds.
A fast K Nearest Neighbor library for low-dimensional spaces
An "Iterative Closest Point" library for 2-D/3-D mapping in robotic
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Models built with TensorFlow
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
A map representation based on 3D segments
SegNet-like Autoencoders in TensorFlow
A Tensorflow implementation of SegNet for cardiac MRI segmentation