PyTorch Implementation for the paper "Let Me Help You! Neuro-Symbolic Short-Context Action Anticipation" accepted to RA-L'24.
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Updated
Jul 14, 2024 - Python
PyTorch Implementation for the paper "Let Me Help You! Neuro-Symbolic Short-Context Action Anticipation" accepted to RA-L'24.
A collection of the forefront of Egocentric Human Activity Recognition (HAR) and Action Anticipation through Deep Learning
Code for the paper: Anticipative Feature Fusion Transformer for Multi-Modal Action Anticipation.
Winner of CVPR23 EGO4D STA challenge
The repository is the implementation of the method that won 2nd place in the Ego4D LTA challenge 2023
Code and models for the Action Anticipation benchmark of Assembly101
Simple PyTorch Dataset for the EPIC-Kitchens-55 and EPIC-Kitchens-100 that handles frames and features (rgb, optical flow, and objects) for the Action Recognition and the Action Anticipation Tasks!
[ECCV 2020] Temporal Aggregate Representations for Long-Range Video Understanding
A curated list of papers and resources linked to action anticipation and early action recognition from videos.
Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNs
Approximating a 3DCNN with a 2DCNN
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