Enhance your application with the ability to see and interact with humans using any RGB camera.
STEP: Spatio-Temporal Progressive Learning for Video Action Detection. CVPR'19 (Oral)
A tutorial for using deep learning for activity recognition (Pytorch and Tensorflow)
HAKE: Human Activity Knowledge Engine (CVPR'18/19/20, NeurIPS'20, TPAMI'21)
C3D for Keras + TensorFlow
Timeception for Complex Action Recognition, CVPR 2019 (Oral Presentation)
Problem Set solutions for the "Introduction to Computer Vision (ud810)" MOOC from Udacity
A one stop shop for all of your activity recognition needs.
[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).
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".
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"
Intelligent Driver Monitoring system for Autonomous Vehicles
Action Recognition in Video Sequences using Deep Bi-directional LSTM with CNN Features
PyTorch implementation of AAAI 2021 paper: A Hybrid Attention Mechanism for Weakly-Supervised Temporal Action Localization
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
Code for the ECCV'22 paper "Geometric Features Informed Multi-person Human-object Interaction Recognition in Videos".
1D convolutional neural networks for activity recognition in python.
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