Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNs
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Updated
Oct 27, 2024 - Python
Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNs
Code for the paper: Anticipative Feature Fusion Transformer for Multi-Modal Action Anticipation.
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!
PyTorch Implementation for the paper "Let Me Help You! Neuro-Symbolic Short-Context Action Anticipation" accepted to RA-L'24.
[ECCV 2020] Temporal Aggregate Representations for Long-Range Video Understanding
A collection of the forefront of Egocentric Human Activity Recognition (HAR) and Action Anticipation through Deep Learning
Winner of CVPR23 EGO4D STA challenge
A curated list of papers and resources linked to action anticipation and early action recognition from videos.
Approximating a 3DCNN with a 2DCNN
Code and models for the Action Anticipation benchmark of Assembly101
Controlled public-data study of relational representations for surgical instrument anticipation
Explore web pages generated solely by a language model, with tabbed browsing, caching, cookies, and full HTTP behavior simulation.
The repository is the implementation of the method that won 2nd place in the Ego4D LTA challenge 2023
Predicting several different next actions from video instead of just one. BSc thesis, Leiden University.
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