82magnolia's repositories
bayesnet-variable-elimination
MATLAB implementation of variable elimination in bayesian networks
tensorboardX
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
360monodepth
Code release for 360monodepth. With our framework we achieve monocular depth estimation for high resolution 360° images based on aligning and blending perspective depth maps.
82magnolia.github.io
Personal page redirect.
Event-ST-PPP
The Spatio-Temporal Poisson Point Process for Alignment of Event Camera Data
FlowNetPytorch
Pytorch implementation of FlowNet by Dosovitskiy et al.
free-programming-books
:books: Freely available programming books
HorizonNet
Pytorch implementation of HorizonNet: Learning Room Layout with 1D Representation and Pano Stretch Data Augmentation.
labelme2coco
How to create custom COCO data set for instance segmentation
matrixlstm
Code for the ECCV2020 paper "A Differentiable Recurrent Surface for Asynchronous Event-Based Data"
MinkowskiEngine
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
monkey-net
Animating Arbitrary Objects via Deep Motion Transfer
MVSEC-NIGHTL21
A labeled dataset from a subset of the MVSEC dataset for car detection at night driving conditions.
Neural-SLAM
Pytorch code for ICLR-20 Paper "Learning to Explore using Active Neural SLAM"
OmniNeRF
Fork of OmniNeRF for depth adaptation experiments.
pose_relocalization
Real-Time 6DOF Pose Relocalization for Event Cameras with Stacked Spatial LSTM Networks - CVPRW19
python-fcl
Python binding of FCL library
pytorch-CycleGAN-and-pix2pix
Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)
PyTorch-Tutorial
Build your neural network easy and fast
rpg_asynet
Code for the paper "Event-based Asynchronous Sparse Convolutional Networks" (ECCV, 2020).
rpg_e2vid
Code for the paper "High Speed and High Dynamic Range Video with an Event Camera" (T-PAMI, 2019).
rpg_event_representation_learning
Repo for learning event representations
SGoLAM
multiOn Challenge Code
Trending-in-3D-Vision
An on-going paper list on new trends in 3D vision with deep learning