research
∙
06/21/2023
Evaluating Adversarial Robustness of Convolution-based Human Motion Prediction
Human motion prediction has achieved a brilliant performance with the he...
share
research
∙
01/17/2023
Self-supervised Domain Adaptation for Breaking the Limits of Low-quality Fundus Image Quality Enhancement
Retinal fundus images have been applied for the diagnosis and screening ...
research
∙
01/11/2023
Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation
High-quality pseudo labels are essential for semi-supervised semantic se...
research
∙
09/15/2022
Time- vs. frequency- domain inverse elastic scattering: Theory and experiment
This study formally adapts the time-domain linear sampling method (TLSM)...
research
∙
01/23/2022
ASCNet: Action Semantic Consistent Learning of Arbitrary Progress Levels for Early Action Prediction
Early action prediction aims to recognize human actions from only a part...
research
∙
08/05/2021
The Nyström method for elastic wave scattering by unbounded rough surfaces
We consider the numerical algorithm for the two-dimensional time-harmoni...
research
∙
06/16/2021
Mobile Augmented Reality: User Interfaces, Frameworks, and Intelligence
Mobile Augmented Reality (MAR) integrates computer-generated virtual obj...
research
∙
10/27/2020
A robust low data solution: dimension prediction of semiconductor nanorods
Precise control over dimension of nanocrystals is critical to tune the p...
research
∙
10/11/2020
SDMTL: Semi-Decoupled Multi-grained Trajectory Learning for 3D human motion prediction
Predicting future human motion is critical for intelligent robots to int...
research
∙
05/25/2020
AGVNet: Attention Guided Velocity Learning for 3D Human Motion Prediction
Human motion prediction plays a vital role in human-robot interaction wi...
research
∙
01/28/2020
Interpretable Machine Learning Model for Early Prediction of Mortality in Elderly Patients with Multiple Organ Dysfunction Syndrome (MODS): a Multicenter Retrospective Study an
Background: Elderly patients with MODS have high risk of death and poor ...
research
∙
10/15/2019
Trajectorylet-Net: a novel framework for pose prediction based on trajectorylet descriptors
Pose prediction is an increasingly interesting topic in computer vision ...
research
∙
09/04/2019
PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction
Pose prediction is to predict future poses given a window of previous po...
research
∙
07/10/2019