Enhance your application with the ability to see and interact with humans using any RGB camera.
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Updated
Dec 7, 2021 - Python
Enhance your application with the ability to see and interact with humans using any RGB camera.
C3D for Keras + TensorFlow
A tutorial for using deep learning for activity recognition (Pytorch and Tensorflow)
Problem Set solutions for the "Introduction to Computer Vision (ud810)" MOOC from Udacity
STEP: Spatio-Temporal Progressive Learning for Video Action Detection. CVPR'19 (Oral)
Timeception for Complex Action Recognition, CVPR 2019 (Oral Presentation)
A one stop shop for all of your activity recognition needs.
Intelligent Driver Monitoring system for Autonomous Vehicles
Action Recognition in Video Sequences using Deep Bi-directional LSTM with CNN Features
HAKE: Human Activity Knowledge Engine (CVPR'18/19/20, NeurIPS'20, TPAMI'21)
A PyTorch implementation of R2Plus1D and C3D based on CVPR 2017 paper "A Closer Look at Spatiotemporal Convolutions for Action Recognition" and CVPR 2014 paper "Learning Spatiotemporal Features with 3D Convolutional Networks"
[NeurIPS 2019] Why Can't I Dance in the Mall? Learning to Mitigate Scene Bias in Action Recognition
A deep learning-based activity segmentation framework for activity recognition using WiFi Channel State Information (CSI).
Behavior recognition for the City4Age project
Pytorch implementation of the paper "Glimpse Clouds: Human Activity Recognition from Unstructured Feature Points", F. Baradel, C. Wolf, J. Mille , G.W. Taylor, CVPR 2018
PyTorch utilities to work around with OpenPack Dataset.
PyTorch implementation of AAAI 2021 paper: A Hybrid Attention Mechanism for Weakly-Supervised Temporal Action Localization
Temporal 3D ConvNet
Code for : [Pattern Recognit. Lett. 2021] "Learn to cycle: Time-consistent feature discovery for action recognition" and [IJCNN 2021] "Multi-Temporal Convolutions for Human Action Recognition in Videos".
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