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Synthetic Humans for Action Recognition from Unseen Viewpoints

https://doi.org/10.1007/s11263-021-01467-7

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-01216-8_43openalex-snapshot

ECO: Efficient Convolutional Network for Online Video Understanding

inferredcites →https://doi.org/10.1007/978-3-030-01234-2_2openalex-snapshot

BodyNet: Volumetric Inference of 3D Human Body Shapes

inferredcites →https://doi.org/10.1007/978-3-030-01240-3_28openalex-snapshot

Dividing and Aggregating Network for Multi-view Action Recognition

inferredcites →https://doi.org/10.1007/978-3-030-01240-3_40openalex-snapshot

Pose-Normalized Image Generation for Person Re-identification

inferredcites →https://doi.org/10.1007/978-3-030-01264-9_11openalex-snapshot

Graph Distillation for Action Detection with Privileged Modalities

inferredcites →https://doi.org/10.1007/978-3-030-01267-0_19openalex-snapshot

Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification

inferredcites →https://doi.org/10.1007/978-3-030-33676-9_43openalex-snapshot

Learning to Train with Synthetic Humans

inferredcites →https://doi.org/10.1007/978-3-319-46454-1_34openalex-snapshot

Keep It SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image

inferredcites →https://doi.org/10.1007/978-3-319-46484-8_2openalex-snapshot

Temporal Segment Networks: Towards Good Practices for Deep Action Recognition

inferredcites →https://doi.org/10.1007/978-3-319-46484-8_29openalex-snapshot

Stacked Hourglass Networks for Human Pose Estimation

inferredcites →https://doi.org/10.1007/978-3-319-46487-9_50openalex-snapshot

Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition

inferredcites →https://doi.org/10.1007/978-3-540-88682-2_13openalex-snapshot

Learning to Recognize Activities from the Wrong View Point

inferredcites →https://doi.org/10.1007/s11263-019-01178-0openalex-snapshot

Face-Specific Data Augmentation for Unconstrained Face Recognition

inferredcites →https://doi.org/10.1007/s11263-019-01192-2openalex-snapshot

Learning Human Pose Models from Synthesized Data for Robust RGB-D Action Recognition

inferredcites →https://doi.org/10.1016/j.patcog.2017.02.030openalex-snapshot

Enhanced skeleton visualization for view invariant human action recognition

inferredcites →https://doi.org/10.1093/oso/9780195073591.001.0001openalex-snapshot

Simulating Humans

inferredcites →https://doi.org/10.1109/3dv.2016.58openalex-snapshot

Synthesizing Training Images for Boosting Human 3D Pose Estimation

inferredcites →https://doi.org/10.1109/3dv.2016.75openalex-snapshot

Learning Camera Viewpoint Using CNN to Improve 3D Body Pose Estimation

inferredcites →https://doi.org/10.1109/3dv.2018.00062openalex-snapshot

Neural Body Fitting: Unifying Deep Learning and Model Based Human Pose and Shape Estimation

inferredcites →https://doi.org/10.1109/cvpr.2007.383131openalex-snapshot

Single View Human Action Recognition using Key Pose Matching and Viterbi Path Searching

inferredcites →https://doi.org/10.1109/cvpr.2010.5540218openalex-snapshot

Learning appearance in virtual scenarios for pedestrian detection

inferredcites →https://doi.org/10.1109/cvpr.2011.5995316openalex-snapshot

Real-time human pose recognition in parts from single depth images

inferredcites →https://doi.org/10.1109/cvpr.2011.5995729openalex-snapshot

Cross-view action recognition via view knowledge transfer

inferredcites →https://doi.org/10.1109/cvpr.2012.6248052openalex-snapshot

Articulated people detection and pose estimation: Reshaping the future

inferredcites →https://doi.org/10.1109/cvpr.2014.339openalex-snapshot

Cross-View Action Modeling, Learning, and Recognition

inferredcites →https://doi.org/10.1109/cvpr.2015.7298860openalex-snapshot

Learning a non-linear knowledge transfer model for cross-view action recognition

inferredcites →https://doi.org/10.1109/cvpr.2016.115openalex-snapshot

NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis

inferredcites →https://doi.org/10.1109/cvpr.2016.167openalex-snapshot

3D Action Recognition from Novel Viewpoints

inferredcites →https://doi.org/10.1109/cvpr.2016.213openalex-snapshot

Convolutional Two-Stream Network Fusion for Video Action Recognition

inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot

Deep Residual Learning for Image Recognition

inferredcites →https://doi.org/10.1109/cvpr.2017.278openalex-snapshot

Procedural Generation of Videos to Train Deep Action Recognition Networks

inferredcites →https://doi.org/10.1109/cvpr.2017.391openalex-snapshot

Global Context-Aware Attention LSTM Networks for 3D Action Recognition

inferredcites →https://doi.org/10.1109/cvpr.2017.486openalex-snapshot

A New Representation of Skeleton Sequences for 3D Action Recognition

inferredcites →https://doi.org/10.1109/cvpr.2017.492openalex-snapshot

Learning from Synthetic Humans

inferredcites →https://doi.org/10.1109/cvpr.2017.500openalex-snapshot

Unite the People: Closing the Loop Between 3D and 2D Human Representations

inferredcites →https://doi.org/10.1109/cvpr.2017.502openalex-snapshot

Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

inferredcites →https://doi.org/10.1109/cvpr.2018.00055openalex-snapshot

Learning to Estimate 3D Human Pose and Shape from a Single Color Image

inferredcites →https://doi.org/10.1109/cvpr.2018.00056openalex-snapshot

Glimpse Clouds: Human Activity Recognition from Unstructured Feature Points

inferredcites →https://doi.org/10.1109/cvpr.2018.00127openalex-snapshot

Recognizing Human Actions as the Evolution of Pose Estimation Maps

inferredcites →https://doi.org/10.1109/cvpr.2018.00539openalex-snapshot

2D/3D Pose Estimation and Action Recognition Using Multitask Deep Learning

inferredcites →https://doi.org/10.1109/cvpr.2018.00685openalex-snapshot

Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?

inferredcites →https://doi.org/10.1109/cvpr.2018.00707openalex-snapshot

PoseFlow: A Deep Motion Representation for Understanding Human Behaviors in Videos

inferredcites →https://doi.org/10.1109/cvpr.2018.00744openalex-snapshot

End-to-End Recovery of Human Shape and Pose

inferredcites →https://doi.org/10.1109/cvpr.2018.00886openalex-snapshot

VirtualHome: Simulating Household Activities Via Programs

inferredcites →https://doi.org/10.1109/cvpr.2019.00132openalex-snapshot

An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition

inferredcites →https://doi.org/10.1109/cvpr.2019.00463openalex-snapshot

Convolutional Mesh Regression for Single-Image Human Shape Reconstruction

inferredcites →https://doi.org/10.1109/cvpr.2019.00576openalex-snapshot

Learning 3D Human Dynamics From Video

inferredcites →https://doi.org/10.1109/cvpr.2019.00807openalex-snapshot

MARS: Motion-Augmented RGB Stream for Action Recognition

inferredcites →https://doi.org/10.1109/cvpr.2019.00810openalex-snapshot

Skeleton-Based Action Recognition With Directed Graph Neural Networks

inferredcites →https://doi.org/10.1109/cvpr.2019.01208openalex-snapshot

Learning Joint Reconstruction of Hands and Manipulated Objects

inferredcites →https://doi.org/10.1109/cvpr.2019.01230openalex-snapshot

Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition

inferredcites →https://doi.org/10.1109/cvpr42600.2020.00530openalex-snapshot

VIBE: Video Inference for Human Body Pose and Shape Estimation

inferredcites →https://doi.org/10.1109/cvprw.2018.00283openalex-snapshot

Empirically Analyzing the Effect of Dataset Biases on Deep Face Recognition Systems

inferredcites →https://doi.org/10.1109/iccv.2007.4408849openalex-snapshot

Action Recognition from Arbitrary Views using 3D Exemplars

inferredcites →https://doi.org/10.1109/iccv.2013.394openalex-snapshot

Learning View-Invariant Sparse Representations for Cross-View Action Recognition

inferredcites →https://doi.org/10.1109/iccv.2015.308openalex-snapshot

Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views

inferredcites →https://doi.org/10.1109/iccv.2015.316openalex-snapshot

FlowNet: Learning Optical Flow with Convolutional Networks

inferredcites →https://doi.org/10.1109/iccv.2015.510openalex-snapshot

Learning Spatiotemporal Features with 3D Convolutional Networks

inferredcites →https://doi.org/10.1109/iccv.2017.233openalex-snapshot

View Adaptive Recurrent Neural Networks for High Performance Human Action Recognition from Skeleton Data

inferredcites →https://doi.org/10.1109/iccv.2017.256openalex-snapshot

RMPE: Regional Multi-person Pose Estimation

inferredcites →https://doi.org/10.1109/iccv.2017.316openalex-snapshot

Chained Multi-stream Networks Exploiting Pose, Motion, and Appearance for Action Classification and Detection

inferredcites →https://doi.org/10.1109/iccv.2017.525openalex-snapshot

Learning to Estimate 3D Hand Pose from Single RGB Images

inferredcites →https://doi.org/10.1109/iccv.2019.00234openalex-snapshot

Learning to Reconstruct 3D Human Pose and Shape via Model-Fitting in the Loop

inferredcites →https://doi.org/10.1109/iccv.2019.00554openalex-snapshot

AMASS: Archive of Motion Capture As Surface Shapes

inferredcites →https://doi.org/10.1109/iccv.2019.00630openalex-snapshot

SlowFast Networks for Video Recognition

inferredcites →https://doi.org/10.1109/iccv.2019.00718openalex-snapshot

TSM: Temporal Shift Module for Efficient Video Understanding

inferredcites →https://doi.org/10.1109/tassp.1978.1163055openalex-snapshot

Dynamic programming algorithm optimization for spoken word recognition

inferredcites →https://doi.org/10.1109/tcsvt.2018.2868123openalex-snapshot

Hierarchically Learned View-Invariant Representations for Cross-View Action Recognition

inferredcites →https://doi.org/10.1109/tip.2016.2548242openalex-snapshot

Cross-View Action Recognition via Transferable Dictionary Learning

inferredcites →https://doi.org/10.1109/tip.2017.2696786openalex-snapshot

Deeply Learned View-Invariant Features for Cross-View Action Recognition

inferredcites →https://doi.org/10.1109/tip.2018.2836323openalex-snapshot

Action Recognition From Arbitrary Views Using Transferable Dictionary Learning

inferredcites →https://doi.org/10.1109/tpami.2010.68openalex-snapshot

View-Independent Action Recognition from Temporal Self-Similarities

inferredcites →https://doi.org/10.1109/tpami.2016.2533389openalex-snapshot

Histogram of Oriented Principal Components for Cross-View Action Recognition

inferredcites →https://doi.org/10.1109/tpami.2016.2640292openalex-snapshot

Jointly Learning Heterogeneous Features for RGB-D Activity Recognition

inferredcites →https://doi.org/10.1109/tpami.2017.2691768openalex-snapshot

Learning a Deep Model for Human Action Recognition from Novel Viewpoints

inferredcites →https://doi.org/10.1109/tpami.2017.2704624openalex-snapshot

Domain Generalization and Adaptation Using Low Rank Exemplar SVMs

inferredcites →https://doi.org/10.1109/tpami.2017.2712608openalex-snapshot

Long-Term Temporal Convolutions for Action Recognition

inferredcites →https://doi.org/10.1145/2816795.2818013openalex-snapshot

SMPL

inferredcites →https://doi.org/10.1145/3240508.3240675openalex-snapshot

A Large-scale RGB-D Database for Arbitrary-view Human Action Recognition

inferredcites →https://doi.org/10.1162/neco.1989.1.4.541openalex-snapshot

Backpropagation Applied to Handwritten Zip Code Recognition

inferredcites →https://doi.org/10.1162/neco.1997.9.8.1735openalex-snapshot

Long Short-Term Memory

inferredcites →https://doi.org/10.1609/aaai.v32i1.12328openalex-snapshot

Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

inferredcites →https://doi.org/10.48550/arxiv.1406.2199openalex-snapshot

Two-Stream Convolutional Networks for Action Recognition in Videos

inferredcites →https://doi.org/10.48550/arxiv.1506.03365openalex-snapshot

LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop

inferredcites →https://doi.org/10.48550/arxiv.1703.10106openalex-snapshot

Pose-conditioned Spatio-Temporal Attention for Human Action Recognition

inferredcites →https://doi.org/10.48550/arxiv.1809.01844openalex-snapshot

Unsupervised Learning of View-invariant Action Representations

inferredcites →https://doi.org/10.48550/arxiv.1906.00161openalex-snapshot

Temporally Coherent Full 3D Mesh Human Pose Recovery from Monocular Video

inferredcites →https://doi.org/10.57702/jtuxnt5mopenalex-snapshot

The kinetics human action video dataset

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Fusing the Appearance and Gait Features for Clothes-Changing Video Person Re-Identification

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Implicit Neural Representations for Variable Length Human Motion Generation

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Implicit Field Supervision for Robust Non-rigid Shape Matching

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Multi-Person 3D Pose and Shape Estimation via Inverse Kinematics and Refinement

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A Multimodal Dataset to Create Manufacturing Digital Twins

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Data Collection-Free Masked Video Modeling

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Evaluating Segmentation of Human Body Parts Across Datasets

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Agile Translation of Human Motion to Virtual Scene Using Machine Vision for Industry 5.0

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A Two-Stage Multi-domain Collaborative Optimization Network for 3D Human Mesh Recovery

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Synthetic Datasets for Hand Gesture Recognition

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Visual analysis of fatigue in Industry 4.0

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Meet JEANIE: A Similarity Measure for 3D Skeleton Sequences via Temporal-Viewpoint Alignment

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Human Activity Recognition using RGB-DVS Cameras: A Multi-modal Heat Conduction Model and A Benchmark Dataset

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A systematic review and evaluation of synthetic simulated data generation strategies for deep learning applications in construction

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Hybrid DNN training using both synthetic and real construction images to overcome training data shortage

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NOVAction23: Addressing the data diversity gap by uniquely generated synthetic sequences for real-world human action recognition

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Improving Human Action Recognition in Australian Rules Football through Video Data Augmentation

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The Effects of Different Image Parameters on Human Action Recognition Models Trained on Real and Synthetic Image Data

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Synthetic Data Augmentation for Video Action Classification Using Unity

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ArtiBoost: Boosting Articulated 3D Hand-Object Pose Estimation via Online Exploration and Synthesis

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Task2Sim: Towards Effective Pre-training and Transfer from Synthetic Data

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On the Benefits of 3D Pose and Tracking for Human Action Recognition

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SVLTA: Benchmarking Vision-Language Temporal Alignment via Synthetic Video Situation

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Enhancing Vision-Language Compositional Understanding with Multimodal Synthetic Data

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Pose-based Contrastive Learning for Domain Agnostic Activity Representations

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T2LM: Long-Term 3D Human Motion Generation from Multiple Sentences

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Learning Pose-Aware Representations in Vision Transformers for Understanding Activities of Daily Living

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Learning Dense Correspondence from Synthetic Environments

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SynthSL: Expressive Humans for Sign Language Image Synthesis

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AeroGen: Ground-to-Air Generalization for Action Recognition

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A Simulation-Based Framework for Urban Traffic Accident Detection

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Action-Conditioned 3D Human Motion Synthesis with Transformer VAE

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HuMoR: 3D Human Motion Model for Robust Pose Estimation

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SINC: Spatial Composition of 3D Human Motions for Simultaneous Action Generation

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Privacy Preservation Using Superimposed 3D-Models for Self-Supervised Training in Action Recognition

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An Experimental Analysis of Deep Learning Models for Human Activity Recognition with Synthetic Data

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SynthAct: Towards Generalizable Human Action Recognition based on Synthetic Data

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Exploring the Impact of Rendering Method and Motion Quality on Model Performance when Using Multi-view Synthetic Data for Action Recognition

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PromptonomyViT: Multi-Task Prompt Learning Improves Video Transformers using Synthetic Scene Data

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Multi-modal knowledge distillation for domain-adaptive action recognition

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Enhancing human action recognition with GAN-based data augmentation

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Spatio-Temporal Feature Extraction for Human Action Recognition in Visual Communication Systems Using Improved ST-GCN

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Global-Local Cross-View Fisher Discrimination for View-Invariant Action Recognition

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Synthetic Data for Deep Learning in Computer Vision & Medical Imaging: A Means to Reduce Data Bias

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Keypoints-based multimodal network for robust human action recognition

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Synthetic View Augmentation for Sign Language Recognition

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Cross-view action recognition using transformers

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Basketball Sports Posture Recognition Technology Based on Improved Graph Convolutional Neural Network

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Effective framework for human action recognition in thermal images using capsnet technique

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Towards a Visualizable, De-identified Synthetic Biomarker of Human Movement Disorders

inferred← citeshttps://doi.org/10.3389/fimag.2026.1846329openalex-snapshot

Motion representations for privacy-aware cross-domain action recognition

inferred← citeshttps://doi.org/10.3389/fnbot.2024.1520983openalex-snapshot

Graph Convolutional Networks for multi-modal robotic martial arts leg pose recognition

inferred← citeshttps://doi.org/10.3390/fi14030093openalex-snapshot

Survey on Videos Data Augmentation for Deep Learning Models

inferred← citeshttps://doi.org/10.3390/s22041464openalex-snapshot

3DMesh-GAR: 3D Human Body Mesh-Based Method for Group Activity Recognition

inferred← citeshttps://doi.org/10.70675/1deaf2edz3a7ez4f6dza452z891dd7f5c49copenalex-snapshot

Analysis of large scale 3D shape collection with learning based approaches

inferred← citeshttps://doi.org/10.70675/54fdd862z3857z4491z82dczafed8e74ca41openalex-snapshot

Learning to generate human videos

inferred← citeshttps://doi.org/10.70675/9f3ad4fbz5512z426bzb269z58f1da9dfd58openalex-snapshot

Human pose estimation in 3D for working environment

inferred← citeshttps://doi.org/10.70675/a4b835c3z7030z4699zbeb2zb5faccaee2deopenalex-snapshot

Natural language control for 3D human motion synthesis

inferred← citeshttps://doi.org/10.70675/f2fe7ceez1a7ez42f4zb6f7z48b8090ad641openalex-snapshot

Reconnaissance d’actions humaines par apprentissage profond et génération de données étiquetées basées sur le jumeau numérique de poste cobotique industriel.

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