Observable Subspaces for 3D Human Motion Recovery

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Observable Subspaces for 3D Human Motion Recovery

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Advanced computer vision for extracting georeferenced vehicle trajectories from drone imagery

Test-time adaptation for 6D pose tracking

Learning the intrinsic dynamics of spatio-temporal processes through Latent Dynamics Networks

From finger animation to full-body embodiment of avatars with different morphologies and proportions

Rapid motion estimation and correction using self-encoded FID navigators in 3D radial MRI

Automated Human Motion Analysis and Synthesis

Microgravity induces overconfidence in perceptual decision-making

Processing load, and not stimulus evidence, determines the duration of unconscious visual feature integration

Geometric and Learning Methods for Robots to Navigate in Human Crowds with Application to Smart Mobility Devices

Diff3DHPE: A Diffusion Model for 3D Human Pose Estimation

Dual-frequency spectral radar retrieval of snowfall microphysics: a physics-driven deep-learning approach

Non-intrusive data-driven reduced-order modeling for time-dependent parametrized problems

Encoder-Decoder Models for Human Segmentation and Motion Analysis

Explanation of Optical Force and Torque on Nanomotors as the Interplay of Huygens Sources

Dual-Arm Control for Coordinated Fast Grabbing and Tossing of an Object

Choreography Controlled (ChoCo) brain MRI artifact generation for labeled motion-corrupted datasets

A Wearable Smart Glove and Its Application of Pose and Gesture Detection to Sign Language Classification

Temporal Representation Learning on Monocular Videos for 3D Human Pose Estimation

Measuring and modeling the motor system with machine learning

Memory of Motion for Initializing Optimization in Robotics