Saved in:
| Main Authors: | Darwish, Firas, Nicholson, George, Doherty, Aiden, Yuan, Hang |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2602.11064 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ActiNet: An Open-Source Tool for Activity Intensity Classification of Wrist-Worn Accelerometry Using Self-Supervised Deep Learning
by: Acquah, Aidan, et al.
Published: (2025)
by: Acquah, Aidan, et al.
Published: (2025)
Self-supervised Learning for Human Activity Recognition Using 700,000 Person-days of Wearable Data
by: Yuan, Hang, et al.
Published: (2022)
by: Yuan, Hang, et al.
Published: (2022)
Integrating Fourier Neural Operators with Diffusion Models to improve Spectral Representation of Synthetic Earthquake Ground Motion Response
by: Perrone, Niccolò, et al.
Published: (2025)
by: Perrone, Niccolò, et al.
Published: (2025)
Uncertainty Quantification for Machine Learning in Healthcare: A Survey
by: López, L. Julián Lechuga, et al.
Published: (2025)
by: López, L. Julián Lechuga, et al.
Published: (2025)
Scaling Large Motion Models with Million-Level Human Motions
by: Wang, Ye, et al.
Published: (2024)
by: Wang, Ye, et al.
Published: (2024)
SoftSRV: Learn to Generate Targeted Synthetic Data
by: DeSalvo, Giulia, et al.
Published: (2024)
by: DeSalvo, Giulia, et al.
Published: (2024)
MoCap-Impute: A Comprehensive Benchmark and Comparative Analysis of Imputation Methods for IMU-based Motion Capture Data
by: Bekhit, Mahmoud, et al.
Published: (2025)
by: Bekhit, Mahmoud, et al.
Published: (2025)
Cross-Domain Policy Adaptation by Capturing Representation Mismatch
by: Lyu, Jiafei, et al.
Published: (2024)
by: Lyu, Jiafei, et al.
Published: (2024)
End-to-End Data Quality-Driven Framework for Machine Learning in Production Environment
by: Bayram, Firas, et al.
Published: (2025)
by: Bayram, Firas, et al.
Published: (2025)
S-JEA: Stacked Joint Embedding Architectures for Self-Supervised Visual Representation Learning
by: Manová, Alžběta, et al.
Published: (2023)
by: Manová, Alžběta, et al.
Published: (2023)
FlowMotion: Target-Predictive Conditional Flow Matching for Jitter-Reduced Text-Driven Human Motion Generation
by: Cuba, Manolo Canales, et al.
Published: (2025)
by: Cuba, Manolo Canales, et al.
Published: (2025)
Boosting Object Representation Learning via Motion and Object Continuity
by: Delfosse, Quentin, et al.
Published: (2022)
by: Delfosse, Quentin, et al.
Published: (2022)
Scaling Motion Forecasting Models with Ensemble Distillation
by: Ettinger, Scott, et al.
Published: (2024)
by: Ettinger, Scott, et al.
Published: (2024)
IMUDiffusion: A Diffusion Model for Multivariate Time Series Synthetisation for Inertial Motion Capturing Systems
by: Oppel, Heiko, et al.
Published: (2024)
by: Oppel, Heiko, et al.
Published: (2024)
Direct Estimation of Tree Volume and Aboveground Biomass Using Deep Regression with Synthetic Lidar Data
by: Pourdelan, Habib, et al.
Published: (2026)
by: Pourdelan, Habib, et al.
Published: (2026)
Midway Network: Learning Representations for Recognition and Motion from Latent Dynamics
by: Hoang, Christopher, et al.
Published: (2025)
by: Hoang, Christopher, et al.
Published: (2025)
Diffusion Model-based Activity Completion for AI Motion Capture from Videos
by: Huayu, Gao, et al.
Published: (2025)
by: Huayu, Gao, et al.
Published: (2025)
Forecasting MBTA Transit Dynamics: A Performance Benchmarking of Statistical and Machine Learning Models
by: Nalamalpu, Sai Siddharth, et al.
Published: (2025)
by: Nalamalpu, Sai Siddharth, et al.
Published: (2025)
Motion Planning Diffusion: Learning and Planning of Robot Motions with Diffusion Models
by: Carvalho, Joao, et al.
Published: (2023)
by: Carvalho, Joao, et al.
Published: (2023)
FLD: Fourier Latent Dynamics for Structured Motion Representation and Learning
by: Li, Chenhao, et al.
Published: (2024)
by: Li, Chenhao, et al.
Published: (2024)
Unsupervised Learning of Density Estimates with Topological Optimization
by: Tanweer, Sunia, et al.
Published: (2025)
by: Tanweer, Sunia, et al.
Published: (2025)
Continual Learning of Conjugated Visual Representations through Higher-order Motion Flows
by: Marullo, Simone, et al.
Published: (2024)
by: Marullo, Simone, et al.
Published: (2024)
Transfer Learning through Enhanced Sufficient Representation: Enriching Source Domain Knowledge with Target Data
by: Ge, Yeheng, et al.
Published: (2025)
by: Ge, Yeheng, et al.
Published: (2025)
Riemannian Motion Generation: A Unified Framework for Human Motion Representation and Generation via Riemannian Flow Matching
by: Miao, Fangran, et al.
Published: (2026)
by: Miao, Fangran, et al.
Published: (2026)
Assessing Low Back Movement with Motion Tape Sensor Data Through Deep Learning
by: Levy, Jared, et al.
Published: (2026)
by: Levy, Jared, et al.
Published: (2026)
Hall Effect Thruster Forecasting using a Topological Approach for Data Assimilation
by: Chumley, Max M., et al.
Published: (2025)
by: Chumley, Max M., et al.
Published: (2025)
Scaling Laws of Motion Forecasting and Planning -- Technical Report
by: Baniodeh, Mustafa, et al.
Published: (2025)
by: Baniodeh, Mustafa, et al.
Published: (2025)
MoCap2Radar: A Spatiotemporal Transformer for Synthesizing Micro-Doppler Radar Signatures from Motion Capture
by: Chen, Kevin, et al.
Published: (2025)
by: Chen, Kevin, et al.
Published: (2025)
Towards Trustworthy Machine Learning in Production: An Overview of the Robustness in MLOps Approach
by: Bayram, Firas, et al.
Published: (2024)
by: Bayram, Firas, et al.
Published: (2024)
Mocap Anywhere: Towards Pairwise-Distance based Motion Capture in the Wild (for the Wild)
by: Abramovich, Ofir, et al.
Published: (2026)
by: Abramovich, Ofir, et al.
Published: (2026)
ELMO: Enhanced Real-time LiDAR Motion Capture through Upsampling
by: Jang, Deok-Kyeong, et al.
Published: (2024)
by: Jang, Deok-Kyeong, et al.
Published: (2024)
KoopMotion: Learning Almost Divergence Free Koopman Flow Fields for Motion Planning
by: Li, Alice Kate, et al.
Published: (2025)
by: Li, Alice Kate, et al.
Published: (2025)
Hierarchical Motion Captioning Utilizing External Text Data Source
by: Leite, Clayton, et al.
Published: (2025)
by: Leite, Clayton, et al.
Published: (2025)
Synthetic Data for any Differentiable Target
by: Thrush, Tristan, et al.
Published: (2026)
by: Thrush, Tristan, et al.
Published: (2026)
Vectorized Representation Dreamer (VRD): Dreaming-Assisted Multi-Agent Motion-Forecasting
by: Schofield, Hunter, et al.
Published: (2024)
by: Schofield, Hunter, et al.
Published: (2024)
Motion Tracks: A Unified Representation for Human-Robot Transfer in Few-Shot Imitation Learning
by: Ren, Juntao, et al.
Published: (2025)
by: Ren, Juntao, et al.
Published: (2025)
Daily Physical Activity Monitoring -- Adaptive Learning from Multi-source Motion Sensor Data
by: Zhang, Haoting, et al.
Published: (2024)
by: Zhang, Haoting, et al.
Published: (2024)
Active Learning and Transfer Learning for Anomaly Detection in Time-Series Data
by: Kelleher, John D., et al.
Published: (2025)
by: Kelleher, John D., et al.
Published: (2025)
Understanding the Impact of Data Domain Extraction on Synthetic Data Privacy
by: Ganev, Georgi, et al.
Published: (2025)
by: Ganev, Georgi, et al.
Published: (2025)
VAE-Based Synthetic EMG Generation with Mix-Consistency Loss for Recognizing Unseen Motion Combinations
by: Yazawa, Itsuki, et al.
Published: (2025)
by: Yazawa, Itsuki, et al.
Published: (2025)
Similar Items
-
ActiNet: An Open-Source Tool for Activity Intensity Classification of Wrist-Worn Accelerometry Using Self-Supervised Deep Learning
by: Acquah, Aidan, et al.
Published: (2025) -
Self-supervised Learning for Human Activity Recognition Using 700,000 Person-days of Wearable Data
by: Yuan, Hang, et al.
Published: (2022) -
Integrating Fourier Neural Operators with Diffusion Models to improve Spectral Representation of Synthetic Earthquake Ground Motion Response
by: Perrone, Niccolò, et al.
Published: (2025) -
Uncertainty Quantification for Machine Learning in Healthcare: A Survey
by: López, L. Julián Lechuga, et al.
Published: (2025) -
Scaling Large Motion Models with Million-Level Human Motions
by: Wang, Ye, et al.
Published: (2024)