Action Analysis

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Most implemented papers archive 2025-07-28

14 shown of 14 papers with code (40 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• H-MoRe: Learning Human-centric Motion Representation for Action Analysis
  14 Apr 2025 1 repository listed
  In this paper, we propose H-MoRe, a novel pipeline for learning precise human-centric motion representation.
• MMAD: Multi-label Micro-Action Detection in Videos
  7 Jul 2024 1 repository listed
  This paper specifically focuses on a subset of body actions known as micro-actions, which are subtle, low-intensity body movements with promising applications in human emotion analysis.
• FineSports: A Multi-person Hierarchical Sports Video Dataset for Fine-grained Action Understanding
  1 Jan 2024 1 repository listed
  Fine-grained action analysis in multi-person sports is complex due to athletes' quick movements and intense physical confrontations which result in severe visual obstructions in most scenes.
• Fine-grained Action Analysis: A Multi-modality and Multi-task Dataset of Figure Skating
  6 Jul 2023 1 repository listed
  MMFS, which possesses action recognition and action quality assessment, captures RGB, skeleton, and is collected the score of actions from 11671 clips with 256 categories including spatial and temporal labels.
• FT-HID: A Large Scale RGB-D Dataset for First and Third Person Human Interaction Analysis
  21 Sep 2022 1 repository listed
  It has been studied either using first person vision (FPV) or third person vision (TPV).
• Domain Knowledge-Informed Self-Supervised Representations for Workout Form Assessment
  28 Feb 2022 1 repository listed
  To that end, we propose to learn exercise-oriented image and video representations from unlabeled samples such that a small dataset annotated by experts suffices for supervised error detection.
• LTC-GIF: Attracting More Clicks on Feature-length Sports Videos
  22 Jan 2022 1 repository listed
  This paper proposes a lightweight method to attract users and increase views of the video by presenting personalized artistic media -- i.
• A Body Part Embedding Model With Datasets for Measuring 2D Human Motion Similarity
  2 Mar 2021 1 repository listed
  Furthermore, in order to compute the motion similarity from these datasets, we propose a deep learning model that produces motion embeddings suitable for measuring the similarity between different motions of each human…
• Adaptive Interaction Modeling via Graph Operations Search
  5 May 2020 1 repository listed
  We propose to search the network structures with differentiable architecture search mechanism, which learns to construct adaptive structures for different videos to facilitate adaptive interaction modeling.
• Explainable Video Action Reasoning via Prior Knowledge and State Transitions
  28 Aug 2019 1 repository listed
  Finally, by sequentially examining each state transition in the video graph, our method can detect and explain how those actions are executed with prior knowledge, just like the logical manner of thinking by humans.
• EV-Action: Electromyography-Vision Multi-Modal Action Dataset
  20 Apr 2019 1 repository listed
  To make up this, we introduce a new, large-scale EV-Action dataset in this work, which consists of RGB, depth, electromyography (EMG), and two skeleton modalities.
• Investigation of Different Skeleton Features for CNN-based 3D Action Recognition
  2 May 2017 1 repository listed
  The proposed method achieved state-of-the-art performance on NTU RGB+D dataset for 3D human action analysis.
• Interpretable 3D Human Action Analysis with Temporal Convolutional Networks
  14 Apr 2017 1 repository listed
  In this work, we propose to use a new class of models known as Temporal Convolutional Neural Networks (TCN) for 3D human action recognition.
• Elastic Functional Coding of Riemannian Trajectories
  7 Mar 2016 1 repository listed
  We propose to learn an embedding such that each action trajectory is mapped to a single point in a low-dimensional Euclidean space, and the trajectories that differ only in temporal rates map to the same point.