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Computer Vision
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Analysis
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Action Recognition
1421 directly classified papers
Papers per year
2003: 1
2006: 1
2007: 1
2008: 2
2009: 3
2010: 4
2011: 2
2012: 5
2013: 71
2014: 30
2015: 45
2016: 43
2017: 40
2018: 60
2019: 117
2020: 119
2021: 189
2022: 126
2023: 187
2024: 168
2025: 164
2026: 43
Papers
Progressively Parsing Interactional Objects for Fine Grained Action Detection
CVPR 2016
Going Deeper into First-Person Activity Recognition
CVPR 2016
NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis
CVPR 2016
Anticipating Visual Representations From Unlabeled Video
CVPR 2016
Actions ~ Transformations
CVPR 2016
Fast Temporal Activity Proposals for Efficient Detection of Human Actions in Untrimmed Videos
CVPR 2016
Dynamic Image Networks for Action Recognition
CVPR 2016
Actionness Estimation Using Hybrid Fully Convolutional Networks
CVPR 2016
Learning End-to-end Video Classification with Rank-Pooling
ICML 2016
Challenges in multimodal gesture recognition
JMLR 2016
Action Recognition in Video Using Sparse Coding and Relative Features
CVPR 2016
Visual Path Prediction in Complex Scenes With Crowded Moving Objects
CVPR 2016
Predicting Motivations of Actions by Leveraging Text
CVPR 2016
What Players Do With the Ball: A Physically Constrained Interaction Modeling
CVPR 2016
Predicting the Where and What of Actors and Actions Through Online Action Localization
CVPR 2016
Efficient Temporal Sequence Comparison and Classification Using Gram Matrix Embeddings on a Riemannian Manifold
CVPR 2016
End-To-End Learning of Action Detection From Frame Glimpses in Videos
CVPR 2016
Rolling Rotations for Recognizing Human Actions From 3D Skeletal Data
CVPR 2016
Regularizing Long Short Term Memory With 3D Human-Skeleton Sequences for Action Recognition
CVPR 2016
Inferring Forces and Learning Human Utilities From Videos
CVPR 2016
Online Detection and Classification of Dynamic Hand Gestures With Recurrent 3D Convolutional Neural Network
CVPR 2016
3D Action Recognition From Novel Viewpoints
CVPR 2016
VLAD3: Encoding Dynamics of Deep Features for Action Recognition
CVPR 2016
A Hierarchical Pose-Based Approach to Complex Action Understanding Using Dictionaries of Actionlets and Motion Poselets
CVPR 2016
Temporal Action Detection Using a Statistical Language Model
CVPR 2016
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