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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-030-01225-0_47openalex-snapshot
Instance-Level Human Parsing via Part Grouping Network
inferredcites →https://doi.org/10.1007/978-3-030-01228-1_26openalex-snapshot
Unified Perceptual Parsing for Scene Understanding
inferredcites →https://doi.org/10.1007/978-3-030-01228-1_3openalex-snapshot
DF-Net: Unsupervised Joint Learning of Depth and Flow Using Cross-Task Consistency
inferredcites →https://doi.org/10.1007/978-3-030-01228-1_31openalex-snapshot
Mutual Learning to Adapt for Joint Human Parsing and Pose Estimation
inferredcites →https://doi.org/10.1007/978-3-030-01264-9_17openalex-snapshot
PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model
inferredcites →https://doi.org/10.1007/978-3-030-01270-0_42openalex-snapshot
Unsupervised Learning of Multi-Frame Optical Flow with Occlusions
inferredcites →https://doi.org/10.1007/978-3-030-58604-1_27openalex-snapshot
Unsupervised Monocular Depth Estimation for Night-Time Images Using Adversarial Domain Feature Adaptation
inferredcites →https://doi.org/10.1007/978-3-319-10584-0_20openalex-snapshot
Simultaneous Detection and Segmentation
inferredcites →https://doi.org/10.1007/978-3-319-46466-4_32openalex-snapshot
Instance-Sensitive Fully Convolutional Networks
inferredcites →https://doi.org/10.1007/978-3-642-15986-2_16openalex-snapshot
Tracking People in Broadcast Sports
inferredcites →https://doi.org/10.1007/s00779-010-0293-9openalex-snapshot
Preprocessing techniques for context recognition from accelerometer data
inferredcites →https://doi.org/10.1007/s10618-013-0312-3openalex-snapshot
CID: an efficient complexity-invariant distance for time series
inferredcites →https://doi.org/10.1016/j.patrec.2012.12.014openalex-snapshot
The Opportunity challenge: A benchmark database for on-body sensor-based activity recognition
inferredcites →https://doi.org/10.1017/cbo9780511811685openalex-snapshot
Multiple View Geometry in Computer Vision
inferredcites →https://doi.org/10.1080/00031305.1981.10479327openalex-snapshot
Rank Transformations as a Bridge Between Parametric and Nonparametric Statistics
inferredcites →https://doi.org/10.1080/01621459.1927.10502953openalex-snapshot
Probable Inference, the Law of Succession, and Statistical Inference
inferredcites →https://doi.org/10.1103/physreve.55.5443openalex-snapshot
Discrimination power of measures for nonlinearity in a time series
inferredcites →https://doi.org/10.1109/3dv.2019.00020openalex-snapshot
Pixel-Accurate Depth Evaluation in Realistic Driving Scenarios
inferredcites →https://doi.org/10.1109/cidm.2014.7008685openalex-snapshot
Recognizing gym exercises using acceleration data from wearable sensors
inferredcites →https://doi.org/10.1109/cvpr.1993openalex-snapshot
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
inferredcites →https://doi.org/10.1109/cvpr.2015.7298641openalex-snapshot
Deformable part models are convolutional neural networks
inferredcites →https://doi.org/10.1109/cvpr.2015.7298642openalex-snapshot
Hypercolumns for object segmentation and fine-grained localization
inferredcites →https://doi.org/10.1109/cvpr.2015.7299025openalex-snapshot
Convolutional feature masking for joint object and stuff segmentation
inferredcites →https://doi.org/10.1109/cvpr.2016.278openalex-snapshot
Context Encoders: Feature Learning by Inpainting
inferredcites →https://doi.org/10.1109/cvpr.2016.438openalex-snapshot
A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation
inferredcites →https://doi.org/10.1109/cvpr.2017.179openalex-snapshot
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
inferredcites →https://doi.org/10.1109/cvpr.2017.472openalex-snapshot
Fully Convolutional Instance-Aware Semantic Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2018.00212openalex-snapshot
GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose
inferredcites →https://doi.org/10.1109/cvpr.2018.00513openalex-snapshot
Occlusion Aware Unsupervised Learning of Optical Flow
inferredcites →https://doi.org/10.1109/cvpr.2018.00931openalex-snapshot
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume
inferredcites →https://doi.org/10.1109/cvpr.2019.00098openalex-snapshot
Pose2Seg: Detection Free Human Instance Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2019.00264openalex-snapshot
Large-Scale Long-Tailed Recognition in an Open World
inferredcites →https://doi.org/10.1109/cvpr.2019.00470openalex-snapshot
SelFlow: Self-Supervised Learning of Optical Flow
inferredcites →https://doi.org/10.1109/cvpr.2019.00590openalex-snapshot
Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation
inferredcites →https://doi.org/10.1109/cvpr.2019.00763openalex-snapshot
Graphonomy: Universal Human Parsing via Graph Transfer Learning
inferredcites →https://doi.org/10.1109/cvpr31182.2015openalex-snapshot
2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00652openalex-snapshot
Learning by Analogy: Reliable Supervision From Transformations for Unsupervised Optical Flow Estimation
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00917openalex-snapshot
Towards Better Generalization: Joint Depth-Pose Learning Without PoseNet
inferredcites →https://doi.org/10.1109/cvprw.2019.00247openalex-snapshot
EDVR: Video Restoration With Enhanced Deformable Convolutional Networks
inferredcites →https://doi.org/10.1109/iccv.2015.316openalex-snapshot
FlowNet: Learning Optical Flow with Convolutional Networks
inferredcites →https://doi.org/10.1109/iccv.2017.378openalex-snapshot
SGN: Sequential Grouping Networks for Instance Segmentation
inferredcites →https://doi.org/10.1109/iccv.2017.435openalex-snapshot
Online Video Deblurring via Dynamic Temporal Blending Network
inferredcites →https://doi.org/10.1109/iccv.2019.00380openalex-snapshot
Omni-Scale Feature Learning for Person Re-Identification
inferredcites →https://doi.org/10.1109/iccv37128.2017openalex-snapshot
2017 IEEE International Conference on Computer Vision (ICCV)
inferredcites →https://doi.org/10.1109/icip49359.2023openalex-snapshot
2023 IEEE International Conference on Image Processing (ICIP)
inferredcites →https://doi.org/10.1109/icme.2019.00039openalex-snapshot
Unsupervised Learning for Optical Flow Estimation Using Pyramid Convolution LSTM
inferredcites →https://doi.org/10.1109/iros.2017.8206051openalex-snapshot
Exercise motion classification from large-scale wearable sensor data using convolutional neural networks
inferredcites →https://doi.org/10.1109/jiot.2021.3055859openalex-snapshot
MARS: Mixed Virtual and Real Wearable Sensors for Human Activity Recognition With Multidomain Deep Learning Model
inferredcites →https://doi.org/10.1109/mprv.2003.1203750openalex-snapshot
Using the experience sampling method to evaluate ubicomp applications
inferredcites →https://doi.org/10.1109/surv.2012.110112.00192openalex-snapshot
A Survey on Human Activity Recognition using Wearable Sensors
inferredcites →https://doi.org/10.1109/tip.2018.2867733openalex-snapshot
Adversarial Spatio-Temporal Learning for Video Deblurring
inferredcites →https://doi.org/10.1109/titb.2009.2036165openalex-snapshot
Wearable Assistant for Parkinson’s Disease Patients With the Freezing of Gait Symptom
inferredcites →https://doi.org/10.1109/tpami.2019.2929257openalex-snapshot
OpenPose: Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields
inferredcites →https://doi.org/10.1145/2499621openalex-snapshot
A tutorial on human activity recognition using body-worn inertial sensors
inferredcites →https://doi.org/10.1145/2818346openalex-snapshot
Proceedings of the 2015 ACM on International Conference on Multimodal Interaction
inferredcites →https://doi.org/10.1145/325334.325242openalex-snapshot
Animating rotation with quaternion curves
inferredcites →https://doi.org/10.1145/3267305openalex-snapshot
Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers
inferredcites →https://doi.org/10.1145/3341163.3347744openalex-snapshot
Handling annotation uncertainty in human activity recognition
inferredcites →https://doi.org/10.1145/3460418openalex-snapshot
Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers
inferredcites →https://doi.org/10.1145/3544794openalex-snapshot
Proceedings of the 2022 ACM International Symposium on Wearable Computers
inferredcites →https://doi.org/10.1186/s40537-019-0197-0openalex-snapshot
A survey on Image Data Augmentation for Deep Learning
inferredcites →https://doi.org/10.1609/aaai.v32i1.12276openalex-snapshot
UnFlow: Unsupervised Learning of Optical Flow With a Bidirectional Census Loss
inferredcites →https://doi.org/10.1609/aaai.v32i1.12336openalex-snapshot
Progressive Cognitive Human Parsing
inferredcites →https://doi.org/10.1609/aaai.v33i01.33018770openalex-snapshot
DDFlow: Learning Optical Flow with Unlabeled Data Distillation
inferredcites →https://doi.org/10.1609/aaai.v34i07.6728openalex-snapshot
Grapy-ML: Graph Pyramid Mutual Learning for Cross-Dataset Human Parsing
inferredcites →https://doi.org/10.3390/app9040746openalex-snapshot
Generative Oversampling Method for Imbalanced Data on Bearing Fault Detection and Diagnosis
inferredcites →https://doi.org/10.3390/s16010115openalex-snapshot
Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition
inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-snapshot
Very Deep Convolutional Networks for Large-Scale Image Recognition
inferredcites →https://doi.org/10.48550/arxiv.1610.07717openalex-snapshot
Distributed and parallel time series feature extraction for industrial big data applications
inferredcites →https://doi.org/10.48550/arxiv.1808.02455openalex-snapshot
Data augmentation using synthetic data for time series classification with deep residual networks
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/widm.70057openalex-snapshot
A Systematic Review of Movement Tracking for Real‐Time Monitoring of Physical Exercises in the Gym
inferred← citeshttps://doi.org/10.1007/978-981-95-4091-4_28openalex-snapshot
DG-IVF: A Dual-Gated IMU-Vision Fusion Method for Efficient HAR
inferred← citeshttps://doi.org/10.1016/j.ipm.2026.104951openalex-snapshot
Beyond error reduction: Dimensional analysis reveals qualitative differences in motor expertise
inferred← citeshttps://doi.org/10.1109/access.2024.3513477openalex-snapshot
SynHAR: Augmenting Human Activity Recognition With Synthetic Inertial Sensor Data Generated From Human Surface Models
inferred← citeshttps://doi.org/10.1109/access.2026.3726408openalex-snapshot
A Quantitative Comparison of Human Body Modeling Methods to Synthesize IMU Data
inferred← citeshttps://doi.org/10.1109/cphs56133.2022.9804560openalex-snapshot
CROMOSim: A Deep Learning-based Cross-modality Inertial Measurement Simulator
inferred← citeshttps://doi.org/10.1109/cw68232.2025.00058openalex-snapshot
A Conditional Variational Autoencoder-Enhanced Virtual IMU Contrastive Learning for Wearable Human Activity Recognition
inferred← citeshttps://doi.org/10.1109/icassp48485.2024.10447226openalex-snapshot
A Novel Local-Global Feature Fusion Framework for Body-Weight Exercise Recognition with Pressure Mapping Sensors
inferred← citeshttps://doi.org/10.1109/ijcb65343.2025.11410654openalex-snapshot
SSSL-HAR: Synthetic-Data-Driven Self-Supervised Learning for flexible IMU-Based Human Activity Recognition
inferred← citeshttps://doi.org/10.1109/jsen.2026.3661047openalex-snapshot
Physically Plausible Data Augmentations for Wearable IMU-Based Human Activity Recognition Using Physics Simulation
inferred← citeshttps://doi.org/10.1109/jsen.2026.3723733openalex-snapshot
Privacy-Preserving Multisensor Edge Intelligence Using Split Dual-LSTM Architecture for Real-Time Elderly Care
inferred← citeshttps://doi.org/10.1109/percom64205.2025.00020openalex-snapshot
MuJo: Multimodal Joint Feature Space Learning for Human Activity Recognition
inferred← citeshttps://doi.org/10.1109/percomworkshops56833.2023.10150267openalex-snapshot
If only we had more data!: Sensor-Based Human Activity Recognition in Challenging Scenarios
inferred← citeshttps://doi.org/10.1109/percomworkshops65533.2025.00061openalex-snapshot
SensorGPT: A New Paradigm for Synthetic Sensory Data Generation
inferred← citeshttps://doi.org/10.1109/percomworkshops65533.2025.00084openalex-snapshot
Synthetic Sensory Data Generators: How Much Progress Are We Making?
inferred← citeshttps://doi.org/10.1109/ropec55836.2022.10018703openalex-snapshot
iPaddle: An Intelligent Swimming Training System
inferred← citeshttps://doi.org/10.1109/tim.2025.3548063openalex-snapshot
Open-Source Virtual IMU Sensor Platform for Developing a Customized Wearable Human Activity Recognition System
inferred← citeshttps://doi.org/10.1109/tmc.2022.3230370openalex-snapshot
CROMOSim: A Deep Learning-Based Cross-Modality Inertial Measurement Simulator
inferred← citeshttps://doi.org/10.1109/tmc.2023.3325399openalex-snapshot
Midas++: Generating Training Data of mmWave Radars From Videos for Privacy-Preserving Human Sensing With Mobility
inferred← citeshttps://doi.org/10.1109/tmc.2024.3481443openalex-snapshot
Img2Acoustic: A Cross-Modal Gesture Recognition Method Based on Few-Shot Learning
inferred← citeshttps://doi.org/10.1109/tmc.2024.3502668openalex-snapshot
G 3 R: Generating Rich and Fine-Grained mmWave Radar Data From 2D Videos for Generalized Gesture Recognition
inferred← citeshttps://doi.org/10.1145/3494995openalex-snapshot
Zero-Shot Learning for IMU-Based Activity Recognition Using Video Embeddings
inferred← citeshttps://doi.org/10.1145/3550331openalex-snapshot
Towards a Dynamic Inter-Sensor Correlations Learning Framework for Multi-Sensor-Based Wearable Human Activity Recognition
inferred← citeshttps://doi.org/10.1145/3570361.3613299openalex-snapshot
Practically Adopting Human Activity Recognition
inferred← citeshttps://doi.org/10.1145/3570361.3613302openalex-snapshot
Towards Generalized mmWave-based Human Pose Estimation through Signal Augmentation
inferred← citeshttps://doi.org/10.1145/3594738.3611361openalex-snapshot
Generating Virtual On-body Accelerometer Data from Virtual Textual Descriptions for Human Activity Recognition
inferred← citeshttps://doi.org/10.1145/3594738.3611364openalex-snapshot
On the Utility of Virtual On-body Acceleration Data for Fine-grained Human Activity Recognition
inferred← citeshttps://doi.org/10.1145/3664647.3681664openalex-snapshot
Vi2ACT:Video-enhanced Cross-modal Co-learning with Representation Conditional Discriminator for Few-shot Human Activity Recognition
inferred← citeshttps://doi.org/10.1145/3675094.3678452openalex-snapshot
Emotion Recognition on the Go: Utilizing Wearable IMUs for Personalized Emotion Recognition
inferred← citeshttps://doi.org/10.1145/3675095.3676617openalex-snapshot
More Data for People with Disabilities! Comparing Data Collection Efforts for Wheelchair Transportation Mode Detection
inferred← citeshttps://doi.org/10.1145/3678545openalex-snapshot
IMUGPT 2.0: Language-Based Cross Modality Transfer for Sensor-Based Human Activity Recognition
inferred← citeshttps://doi.org/10.1145/3699773openalex-snapshot
PressInPose: Integrating Pressure and Inertial Sensors for Full-Body Pose Estimation in Activities
inferred← citeshttps://doi.org/10.1145/3706599.3721177openalex-snapshot
Vsens Toolkit: AR-based Open-ended System for Virtual Sensors
inferred← citeshttps://doi.org/10.1145/3714394.3754444openalex-snapshot
SOFDY: Physics-Based Soft Attachment Simulation in Motion to Enhance Realism of Inertial Data Synthesis
inferred← citeshttps://doi.org/10.1145/3729467openalex-snapshot
Past, Present, and Future of Sensor-based Human Activity Recognition Using Wearables: A Surveying Tutorial on a Still Challenging Task
inferred← citeshttps://doi.org/10.1145/3731749openalex-snapshot
From Verbal Reports to Personalized Activity Trackers: Understanding the Challenges of Ground Truth Data Collection with Older Adults in the Wild
inferred← citeshttps://doi.org/10.1145/3789688openalex-snapshot
Wonderwall: A Virtual-to-Real Foundation Model for IMU-based HAR
inferred← citeshttps://doi.org/10.1145/3790110openalex-snapshot
Vsens: Incorporating XR into the Process of Collecting Virtual IMU Data
inferred← citeshttps://doi.org/10.1145/3805622.3810642openalex-snapshot
LimbAug: Enhancing Virtual IMU Generalization in Human Activity Recognition via Learning Limb Movement Difference
inferred← citeshttps://doi.org/10.1145/3810230openalex-snapshot
Foundation Models Defining A New Era In Sensor-based Human Activity Recognition: A Survey And Outlook
inferred← citeshttps://doi.org/10.3389/fbioe.2023.1104000openalex-snapshot
Co-simulation of human digital twins and wearable inertial sensors to analyse gait event estimation
inferred← citeshttps://doi.org/10.3389/fcomp.2025.1514933openalex-snapshot
WIMUSim: simulating realistic variabilities in wearable IMUs for human activity recognition
inferred← citeshttps://doi.org/10.3390/app15147905openalex-snapshot
Fusion of Computer Vision and AI in Collaborative Robotics: A Review and Future Prospects
inferred← citeshttps://doi.org/10.3390/s21248337openalex-snapshot
Complex Deep Neural Networks from Large Scale Virtual IMU Data for Effective Human Activity Recognition Using Wearables
inferred← citeshttps://doi.org/10.7717/peerj-cs.1105openalex-snapshot
Physical human locomotion prediction using manifold regularization
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