Gunnar Sigurdsson's repositories
PyVideoResearch
A repository of common methods, datasets, and tasks for video research
charades-algorithms
Activity Recognition Algorithms for the Charades Dataset
actions-for-actions
Diagnostic tools and additional visualizations from "What Actions are Needed for Understanding Human Actions in Videos?" ICCV 2017
actor-observer
ActorObserverNet code in PyTorch from "Actor and Observer: Joint Modeling of First and Third-Person Videos", CVPR 2018
temporal-fields
Code for training temporal fully-connected CRF models in Torch
visual-grounding
Project page for "Visual Grounding in Video for Unsupervised Word Translation" CVPR 2020
charades-webcam
Real-time smart webcam in TensorFlow trained on the Charades dataset
java-chess-ai
Parallel implementation of Minimax with alpha beta pruning for chess playing
ActivityNet
This repository is intended to host tools and demos for ActivityNet
exemplar-shape
MATLAB implementation of "Interpretable Exemplar-Based Shape Classification Using Constrainted Sparse Linear Models" by Sigurdsson, Yang, Tran, and Prince.
sound-features
Implementations of a few features for analyzing sound data.
world-features
Framework for extending neural networks layers with arbitrary transforms.
fb.resnet.torch
Torch implementation of ResNet from http://arxiv.org/abs/1512.03385 and training scripts
gsig.github.io
gsig website
smoothing-fields
Implementations from "Smoothing Fields of Weighted Collections with Applications to Diffusion MRI Processing" by Sigurdsson and Prince
tensor-contrasts
MATLAB implementation of the tensor contrasts from "Local white matter geometry from diffusion tensor gradients."