sofiabroome

interpreting-video-features

Code for the paper "Interpreting video features: A comparison of 3D Convolutional networks and Convolutional LSTM networks"

gross_pain

cross-dataset-generalization

PyTorch code to evaluate cross-domain robustness and texture bias for action recognition, here on the Diving48 dataset and modified versions thereof.

diver-segmentation

Diver segmentation for the Diving48 dataset (out of necessity, since DeeplabV3 trained on MS-COCO off-the-shelf does recognize divers as the Person class).

flownet2-pytorch

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

kinetics-i3d

Convolutional neural network model for video classification trained on the Kinetics dataset.

painface-recognition

Using deep recurrent networks to recognize horses' pain expressions in video.

sofiabroome.github.io

Website

temporal-shape-dataset

A simpler action template dataset

video-search

IR project, Video Search

sofiabroome/painface-recognition

Using deep recurrent networks to recognize horses' pain expressions in video.

sofiabroome/temporal-shape-dataset

A simpler action template dataset

sofiabroome/cross-dataset-generalization

PyTorch code to evaluate cross-domain robustness and texture bias for action recognition, here on the Diving48 dataset and modified versions thereof.

sofiabroome/diver-segmentation

Diver segmentation for the Diving48 dataset (out of necessity, since DeeplabV3 trained on MS-COCO off-the-shelf does recognize divers as the Person class).

sofiabroome/flownet2-pytorch

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

sofiabroome/kinetics-i3d

Convolutional neural network model for video classification trained on the Kinetics dataset.

sofiabroome/sofiabroome.github.io

Website

sofiabroome/video-search

IR project, Video Search

sofiabroome/wordpredictor

NLP-project