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WEAR: An Outdoor Sports Dataset for Wearable and Egocentric Activity Recognition
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-030-13001-5_8openalex-snapshot
A Multi-media Exchange Format for Time-Series Dataset Curation
inferredcites →https://doi.org/10.1007/978-3-030-58598-3_32openalex-snapshot
Bottom-Up Temporal Action Localization with Mutual Regularization
inferredcites →https://doi.org/10.1007/978-3-030-58604-1_8openalex-snapshot
Boundary Content Graph Neural Network for Temporal Action Proposal Generation
inferredcites →https://doi.org/10.1007/978-3-031-19772-7_29openalex-snapshot
ActionFormer: Localizing Moments of Actions with Transformers
inferredcites →https://doi.org/10.1007/978-3-031-19830-4_29openalex-snapshot
TallFormer: Temporal Action Localization with a Long-Memory Transformer
inferredcites →https://doi.org/10.1007/978-3-031-20062-5_37openalex-snapshot
Proposal-Free Temporal Action Detection via Global Segmentation Mask Learning
inferredcites →https://doi.org/10.1007/978-3-031-20080-9_7openalex-snapshot
ReAct: Temporal Action Detection with Relational Queries
inferredcites →https://doi.org/10.1007/978-3-031-78354-8_11openalex-snapshot
Predicting the Next Action by Modeling the Abstract Goal
inferredcites →https://doi.org/10.1007/978-3-540-24646-6_1openalex-snapshot
Activity Recognition from User-Annotated Acceleration Data
inferredcites →https://doi.org/10.1007/s00530-021-00875-6openalex-snapshot
Towards a multimodal human activity dataset for healthcare
inferredcites →https://doi.org/10.1007/s11263-021-01531-2openalex-snapshot
Rescaling Egocentric Vision: Collection, Pipeline and Challenges for EPIC-KITCHENS-100
inferredcites →https://doi.org/10.1007/s12652-019-01239-9openalex-snapshot
Evaluating fusion of RGB-D and inertial sensors for multimodal human action recognition
inferredcites →https://doi.org/10.1007/s12662-022-00813-2openalex-snapshot
Validation of an open-source ambulatory assessment system in support of replicable activity studies
inferredcites →https://doi.org/10.1016/j.cviu.2023.103692openalex-snapshot
BasicTAD: An astounding RGB-Only baseline for temporal action detection
inferredcites →https://doi.org/10.1109/access.2018.2890675openalex-snapshot
InnoHAR: A Deep Neural Network for Complex Human Activity Recognition
inferredcites →https://doi.org/10.1109/access.2019.2913393openalex-snapshot
Robust Human Activity Recognition Using Multimodal Feature-Level Fusion
inferredcites →https://doi.org/10.1109/cvpr.2015.7298698openalex-snapshot
ActivityNet: A large-scale video benchmark for human activity understanding
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.2017.721openalex-snapshot
Jointly Learning Energy Expenditures and Activities Using Egocentric Multimodal Signals
inferredcites →https://doi.org/10.1109/cvpr.2018.00625openalex-snapshot
Egocentric Activity Recognition on a Budget
inferredcites →https://doi.org/10.1109/cvpr.2019.00043openalex-snapshot
Gaussian Temporal Awareness Networks for Action Localization
inferredcites →https://doi.org/10.1109/cvpr40276.2018openalex-snapshot
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
inferredcites →https://doi.org/10.1109/cvpr42600.2020.01017openalex-snapshot
G-TAD: Sub-Graph Localization for Temporal Action Detection
inferredcites →https://doi.org/10.1109/cvpr46437.2021.00055openalex-snapshot
Temporal Context Aggregation Network for Temporal Action Proposal Refinement
inferredcites →https://doi.org/10.1109/cvpr46437.2021.00333openalex-snapshot
Learning Salient Boundary Feature for Anchor-free Temporal Action Localization
inferredcites →https://doi.org/10.1109/cvpr46437.2021.01241openalex-snapshot
Multi-shot Temporal Event Localization: a Benchmark
inferredcites →https://doi.org/10.1109/cvpr52688.2022.00476openalex-snapshot
MViTv2: Improved Multiscale Vision Transformers for Classification and Detection
inferredcites →https://doi.org/10.1109/cvpr52688.2022.01842openalex-snapshot
Ego4D: Around the World in 3,000 Hours of Egocentric Video
inferredcites →https://doi.org/10.1109/cvpr52688.2022.01938openalex-snapshot
An Empirical Study of End-to-End Temporal Action Detection
inferredcites →https://doi.org/10.1109/cvpr52729.2023.01808openalex-snapshot
TriDet: Temporal Action Detection with Relative Boundary Modeling
inferredcites →https://doi.org/10.1109/cvprw.2009.5204354openalex-snapshot
Temporal segmentation and activity classification from first-person sensing
inferredcites →https://doi.org/10.1109/cvprw.2016.54openalex-snapshot
Multimodal Multi-Stream Deep Learning for Egocentric Activity Recognition
inferredcites →https://doi.org/10.1109/cvprw56347.2022.00224openalex-snapshot
Multimodal Transformer for Nursing Activity Recognition
inferredcites →https://doi.org/10.1109/globalsip.2018.8646367openalex-snapshot
HUMAN ACTIVITY CLASSIFICATION INCORPORATING EGOCENTRIC VIDEO AND INERTIAL MEASUREMENT UNIT DATA
inferredcites →https://doi.org/10.1109/icassp.2016.7472170openalex-snapshot
Fusion of depth, skeleton, and inertial data for human action recognition
inferredcites →https://doi.org/10.1109/icassp.2016.7472171openalex-snapshot
Egocentric activity recognition with multimodal fisher vector
inferredcites →https://doi.org/10.1109/iccv.2019.00399openalex-snapshot
BMN: Boundary-Matching Network for Temporal Action Proposal Generation
inferredcites →https://doi.org/10.1109/iccv.2019.00719openalex-snapshot
Graph Convolutional Networks for Temporal Action Localization
inferredcites →https://doi.org/10.1109/iccv48922.2021.00060openalex-snapshot
Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet
inferredcites →https://doi.org/10.1109/iccv48922.2021.00986openalex-snapshot
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
inferredcites →https://doi.org/10.1109/iccv48922.2021.01325openalex-snapshot
Anticipative Video Transformer
inferredcites →https://doi.org/10.1109/iccv48922.2021.01326openalex-snapshot
Enriching Local and Global Contexts for Temporal Action Localization
inferredcites →https://doi.org/10.1109/iccv48922.2021.01327openalex-snapshot
Relaxed Transformer Decoders for Direct Action Proposal Generation
inferredcites →https://doi.org/10.1109/iccv48922.2021.01340openalex-snapshot
Video Self-Stitching Graph Network for Temporal Action Localization
inferredcites →https://doi.org/10.1109/iccv48922.2021.01348openalex-snapshot
Class Semantics-based Attention for Action Detection
inferredcites →https://doi.org/10.1109/icme46284.2020.9102850openalex-snapshot
Scale Matters: Temporal Scale Aggregation Network For Precise Action Localization In Untrimmed Videos
inferredcites →https://doi.org/10.1109/ijcnn.2018.8489540openalex-snapshot
Deep Dilated Convolution on Multimodality Time Series for Human Activity Recognition
inferredcites →https://doi.org/10.1109/iswc.2005.22openalex-snapshot
Fine-Grained Activity Recognition by Aggregating Abstract Object Usage
inferredcites →https://doi.org/10.1109/jsen.2020.2973361openalex-snapshot
Simultaneous Utilization of Inertial and Video Sensing for Action Detection and Recognition in Continuous Action Streams
inferredcites →https://doi.org/10.1109/lra.2021.3059624openalex-snapshot
Multi-GAT: A Graphical Attention-Based Hierarchical Multimodal Representation Learning Approach for Human Activity Recognition
inferredcites →https://doi.org/10.1109/percomw.2018.8480334openalex-snapshot
Improving Motion-based Activity Recognition with Ego-centric Vision
inferredcites →https://doi.org/10.1109/percomw.2019.8730690openalex-snapshot
Vision and Acceleration Modalities: Partners for Recognizing Complex Activities
inferredcites →https://doi.org/10.1109/tip.2022.3195321openalex-snapshot
End-to-End Temporal Action Detection With Transformer
inferredcites →https://doi.org/10.1109/tpami.2006.197openalex-snapshot
Activity Recognition of Assembly Tasks Using Body-Worn Microphones and Accelerometers
inferredcites →https://doi.org/10.1145/2499621openalex-snapshot
A tutorial on human activity recognition using body-worn inertial sensors
inferredcites →https://doi.org/10.1145/3090076openalex-snapshot
Ensembles of Deep LSTM Learners for Activity Recognition using Wearables
inferredcites →https://doi.org/10.1145/3267242.3267287openalex-snapshot
On attention models for human activity recognition
inferredcites →https://doi.org/10.1145/3267305.3267533openalex-snapshot
Activity Recognition Using Dual-ConvLSTM Extracting Local and Global Features for SHL Recognition Challenge
inferredcites →https://doi.org/10.1145/3293353.3293363openalex-snapshot
Multimodal Egocentric Activity Recognition Using Multi-stream CNN
inferredcites →https://doi.org/10.1145/3460421.3480419openalex-snapshot
Improving Deep Learning for HAR with Shallow LSTMs
inferredcites →https://doi.org/10.1145/3544794.3558467openalex-snapshot
TinyHAR: A Lightweight Deep Learning Model Designed for Human Activity Recognition
inferredcites →https://doi.org/10.1145/3544794.3558469openalex-snapshot
A Personalized Approach for Developing a Snacking Detection System using Earbuds in a Semi-Naturalistic Setting
inferredcites →https://doi.org/10.1609/aaai.v34i07.6815openalex-snapshot
Fast Learning of Temporal Action Proposal via Dense Boundary Generator
inferredcites →https://doi.org/10.1609/aaai.v34i07.6829openalex-snapshot
Progressive Boundary Refinement Network for Temporal Action Detection
inferredcites →https://doi.org/10.1609/aaai.v36i1.19900openalex-snapshot
DCAN: Improving Temporal Action Detection via Dual Context Aggregation
inferredcites →https://doi.org/10.1609/aaai.v36i1.19988openalex-snapshot
MuMu: Cooperative Multitask Learning-Based Guided Multimodal Fusion
inferredcites →https://doi.org/10.3390/s16010115openalex-snapshot
Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition
inferredcites →https://doi.org/10.3390/s19030546openalex-snapshot
A Hierarchical Deep Fusion Framework for Egocentric Activity Recognition using a Wearable Hybrid Sensor System
inferredcites →https://doi.org/10.3390/s19194119openalex-snapshot
Fusing Object Information and Inertial Data for Activity Recognition
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Wearable Data‐Driven Transformer Model for Physical Load Assessment in Badminton Training
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Masked Video and Body-Worn IMU Autoencoder for Egocentric Action Recognition
inferred← citeshttps://doi.org/10.1007/978-3-031-72661-3_21openalex-snapshot
EgoExo-Fitness: Towards Egocentric and Exocentric Full-Body Action Understanding
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Multimodal Cross-Domain Few-Shot Learning for Egocentric Action Recognition
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$$\gamma $$-Quant: Towards Learnable Quantization for Low-Bit Pattern Recognition
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DG-IVF: A Dual-Gated IMU-Vision Fusion Method for Efficient HAR
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Self-adaptive uncertainty modeling and relation reasoning for cross-modal egocentric human action recognition in sports
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CAPTURE-24: A large dataset of wrist-worn activity tracker data collected in the wild for human activity recognition
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A comprehensive IMU dataset for evaluating sensor layouts in human activity and intensity recognition
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PIM: Physics-Informed Multi-task Pre-training for Improving Inertial Sensor-Based Human Activity Recognition
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A Review of Reinforcement Learning With Multimodal Large Language Models for Vision-Based Human Activity Recognition
inferred← citeshttps://doi.org/10.1109/autocom60220.2024.10486146openalex-snapshot
Egocentric Vision Action Recognition: Performance Analysis on the Coer_Egovision Dataset
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Optimization of Physical Fitness Detection Algorithms for Different Sports Scenarios Based on Transfer Learning
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HART: A Pretrained Time-Series Foundation Model and Benchmark for Human Activity Recognition
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A Dual-Camera Vision Approach for Robust Cycle Time Detection in Manual Assembly Processes
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Beyond Action Segmentation: An IMU-based Fitness Tracking System with Cycle-Level Granularity
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A Microtask-Based Segmentation Method for Acceleration Data for Human Activity Recognition
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Evaluating Time Series Representation Methods for Rehabilitation Exercise Recognition
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MUSIC-CAR: A Multi-Label Complex Health-Related Activity Recognition Dataset from Smartphone Sensors
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MAPLE: Modality-Agnostic Prototype Learning for Egocentric Action Recognition
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A Survey on Wearable Human Activity Recognition: Innovative Pipeline Development for Enhanced Research and Practice
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Beyond Gaze Overlap: Analyzing Joint Visual Attention Dynamics Using Egocentric Data
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Continual Egocentric Activity Recognition With Foreseeable-Generalized Visual–IMU Representations
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DKFG: A Tennis Activity Recognition System for Data Scarcity and Noise Interference Based on Dual-Loop Kalman Filter and GAN
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Feasibility and Utility of Multimodal Micro Ecological Momentary Assessment on a Smartwatch
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Generative AI and Foundation Models for Human Sensing (GenAI4HS)
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Two-Stage Reservoir Computing for Sensor-Specific Activity Recognition Using the WEAR Inertial Dataset
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Mitigating Null-Class Dominance in Multiclass Inertial-Based Activity Recognition: HASCA-WEAR Challenge - A Technical Report of Team HARMA
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FAME: Feature-Augmented Multi-View Ensemble Framework for Human Activity Recognition using Inertial Sensors
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KineticsSense: A Multimodal Wearable Sensor Framework for Modeling Lower-Limb Motion Kinetics
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