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Kyung Hee University Vision and Learning Reading Group
Learning Representational Invariances for Data-Efficient Action Recognition
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
Official PyTorch implementation of "Physics-aware Difference Graph Networks for Sparsely-Observed Dynamics" (https://openreview.net/forum?id=r1gelyrtwH).
[WACV 2020] Reducing Footskate in Human Motion Reconstruction with Ground Contact Constraints
An end-to-end PyTorch framework for image and video classification
A curated list of different papers and datasets in various areas of audio-visual processing
Train action classification model based on individual frames
3D ResNets for Action Recognition (CVPR 2018)
A one stop shop for all of your activity recognition needs.
A repository of common methods, datasets, and tasks for video research
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
[ECCV 2018] DF-Net: Unsupervised Joint Learning of Depth and Flow using Cross-Task Consistency
[BMVC 2018] iCAN: Instance-Centric Attention Network for Human-Object Interaction Detection
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
A best practice for tensorflow project template architecture.
Off-the-shelf FlowNet module in TensorFlow-1.2.0
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, …
Virginia Tech Vision and Learning Reading Group
PyTorch Tutorial for Deep Learning Researchers
Image augmentation for machine learning experiments.
Basic settings about conda, jupyter, tensorflow, or other issues
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.