PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

A deep learning library for video understanding research.

State-of-the-art Image & Video CLIP, Multimodal Large Language Models, and More!

Hiera: A fast, powerful, and simple hierarchical vision transformer.

Efficient 3D human pose estimation in video using 2D keypoint trajectories

Fully Convolutional Instance-aware Semantic Segmentation

Macro to draw architecture of convolutional neural nets in tikz.

Code release for "Spatiotemporal Residual Networks for Video Action Recognition", NIPS16 & "Spatiotemporal Multiplier Networks for Video Action Recognition", CVPR17.

Sublinear memory optimization for deep learning, reduce GPU memory cost to train deeper nets

Code release for "Convolutional Two-Stream Network Fusion for Video Action Recognition", CVPR 2016.

Code for Visualizing Deep Convolutional Neural Networks Using Natural Pre-images, IJCV 2016