una-dinosauria/cmu-mocap

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una-dinosauria/cmu-mocap

una-dinosauria

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The CMU mocap dataset in bvh format

cmu-mocap

This is a copy of the CMU mocap dataset in bvh format, as ported by Bruce Hahne and made available at https://sites.google.com/a/cgspeed.com/cgspeed/motion-capture/cmu-bvh-conversion

Why?

I just though it would be quite convenient to have the data available through http requests on github.

Can I use this data?

AFAIK, yes. Check READMEFIRST.txt for the actual text where both CMU and Bruce (the person that ported these sequences) say that you can do whatever you want with the data.

3d-pose-baseline

A simple baseline for 3d human pose estimation in tensorflow. Presented at ICCV 17.

human-motion-prediction

Simple baselines and RNNs for predicting human motion in tensorflow. Presented at CVPR 17.

local-search-quantization

State-of-the-art method for large-scale ANN search as of Oct 2016. Presented at ECCV 16.

Rayuela.jl

Code for my PhD thesis. Library of quantization-based methods for fast similarity search in high dimensions. Presented at ECCV 18.

stacked-quantizers

Very accessible code for my MSc thesis. Inexpensive quantization method for ANN search also known as Enhanced Residual VQ.

image-annotator

Javascript tools to annotate images

efros-and-leung-js

A classical texture synthesis algorithm implemented in javascript

deepviz

My CPSC 547 final project: a javascript-based visualization tool for image retrieval.

better-than-tit-for-tat

A simulation for the Iterated Prisoner's Dilemma that outperforms Tit-For-Tat

permute-quantize-finetune

Using ideas from product quantization for state-of-the-art neural network compression.

una-dinosauria.github.io

My personal page.

dotfiles

my configuration dotfiles