Collection of popular and reproducible video denoising works.

[ICCV 2021] MGSampler: An Explainable Sampling Strategy for Video Action Recognition

PyTorch implementation of the NIPS 2017 paper - Unsupervised Learning of Disentangled Representations from Video

video summarization lstm-gan pytorch implementation

Python implementation of extraction of several visual features representations from videos

[ECCV2022] Motion Sensitive Contrastive Learning for Self-supervised Video Representation

Chainer implementation of Networks for Learning Video Representations

Implementing AssembleNet: Searching for Multi-Stream Neural Connectivity in Video Architectures Explain using Pytorch

[Asilomar 2022] Contextual Explainable Video Representation: Human Perception-based Understanding

📚 Paper Notes (Computer vision)

[Awesome] Video Deep Learning