hassony2/interview-prep

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Created over 7 years ago
Updated about 3 years ago

hassony2/interview-prep

hassony2

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Notes on preparing for coding interviews during my PhD

manopth

MANO layer for PyTorch, generating hand meshes as a differentiable layer

kinetics_i3d_pytorch

Inflated i3d network with inception backbone, weights transfered from tensorflow

useful-computer-vision-phd-resources

Lists of resources useful for my PhD in computer vision

torch_videovision

Transforms for video datasets in pytorch

obman_train

[cvpr19] Demo, training and evaluation code for generating dense hand+object reconstructions from single rgb images

obman

[cvpr19] Hands+Objects synthetic dataset, instructions to download and code to load the dataset

inflated_convnets_pytorch

Inflate DenseNet and ResNet as per I3D with ImageNet weight transfer

handobjectconsist

[cvpr 20] Demo, training and evaluation code for joint hand-object pose estimation in sparsely annotated videos

homan

[3dv 2021] Joint fitting of hands and object from short RGB video clips

obman_render

[cvpr19] Code to generate images from the ObMan dataset, synthetic renderings of hands holding objects (or hands in isolation)

inria-research-wiki

Wiki for my research notes

shape_sdf

libyana

Utility functions that I reuse across different projects

synthetic-hands

pyrender_sdf

Minimal rendering in python for shapes defined implicitely through signed distance functions

conda_colmap

multiperson

pytorch 1.6-compatible NMR

hourglass-hands

Jupyter Notebook

flow-toolbox

mva

Homeworks and project for the MVA (Mathematics, Vision, Learning) master

Jupyter Notebook