Chris Choy
chrischoy
Sr. Research Scientist @NVIDIA. Previously Ph.D. from Stanford Vision and Learning Lab @StanfordVL (SVL), Stanford AI Lab, SAIL.
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Top Repositories
Single/multi view image(s) to voxel reconstruction using a recurrent neural network
Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.
[CVPR 2020 Oral] A differentiable framework for 3D registration
Tutorial for building a custom CUDA function for Pytorch
Speech to Text but with all the bells and whistles and most importantly AI! AI will clean up your filler words, edit and will refine what you said!
4D Spatio-Temporal Semantic Segmentation on a 3D video (a sequence of 3D scans)
Repositories
40Speech to Text but with all the bells and whistles and most importantly AI! AI will clean up your filler words, edit and will refine what you said!
4D Spatio-Temporal Semantic Segmentation on a 3D video (a sequence of 3D scans)
Tutorial for building a custom CUDA function for Pytorch
Single/multi view image(s) to voxel reconstruction using a recurrent neural network
Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.
[CVPR 2020 Oral] A differentiable framework for 3D registration
No description provided.
Pytorch extension for Singular Value Decompostion (SVD) with LAPACK gesvd backend
Reorganized SUN RGBD dataset
Fast K-Nearest Neighbor search with GPU
No description provided.
No description provided.
CUDA FFT convolution
Convert PDF to markdown + JSON quickly with high accuracy
The first fully convolutional metric learning for geometric/semantic image correspondences.
No description provided.
K-Nearest Neighbor in Pytorch
Fully differentiable deep-neural decision forest in tensorflow
No description provided.
No description provided.
How and why you want to make your pytorch CUDA/CPP extension with a Makefile
[CVPR 2020 Oral] High-dimensional Convolutional Networks for Geometric Pattern Recognition
A Python framework for high performance GPU simulation and graphics
No description provided.
No description provided.
No description provided.
Minimal reproducible example of error in backprop with MinkowskiUnion module
A simple reference template for pybind11 + numpy
Learning in infinite dimension with neural operators.
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.