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07/27/2023
GADER: GAit DEtection and Recognition in the Wild
Gait recognition holds the promise of robustly identifying subjects base...
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06/28/2023
Divergence Based Quadrangle and Applications
This paper introduces a novel framework for assessing risk and decision-...
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06/03/2023
Machine learning enabled experimental design and parameter estimation for ultrafast spin dynamics
Advanced experimental measurements are crucial for driving theoretical d...
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05/31/2023
Control4D: Dynamic Portrait Editing by Learning 4D GAN from 2D Diffusion-based Editor
Recent years have witnessed considerable achievements in editing images ...
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04/28/2023
Mixture Quantiles Estimated by Constrained Linear Regression
The paper considers the problem of modeling a univariate random variable...
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04/08/2023
Capturing dynamical correlations using implicit neural representations
The observation and description of collective excitations in solids is a...
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01/31/2023
Factor Model of Mixtures
This paper proposes a new approach to estimating the distribution of a r...
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12/02/2022
A Geometric-Relational Deep Learning Framework for BIM Object Classification
Interoperability issue is a significant problem in Building Information ...
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10/11/2022
DA-VSR: Domain Adaptable Volumetric Super-Resolution For Medical Images
Medical image super-resolution (SR) is an active research area that has ...
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10/08/2022
Multi-Modal Human Authentication Using Silhouettes, Gait and RGB
Whole-body-based human authentication is a promising approach for remote...
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08/17/2022
PDRF: Progressively Deblurring Radiance Field for Fast and Robust Scene Reconstruction from Blurry Images
We present Progressively Deblurring Radiance Field (PDRF), a novel appro...
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08/17/2022
REGAS: REspiratory-GAted Synthesis of Views for Multi-Phase CBCT Reconstruction from a single 3D CBCT Acquisition
It is a long-standing challenge to reconstruct Cone Beam Computed Tomogr...
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03/29/2022
A quantum-inspired tensor network method for constrained combinatorial optimization problems
Combinatorial optimization is of general interest for both theoretical s...
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03/08/2022
Towards performant and reliable undersampled MR reconstruction via diffusion model sampling
Magnetic Resonance (MR) image reconstruction from under-sampled acquisit...
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03/07/2022
Undersampled MRI Reconstruction with Side Information-Guided Normalisation
Magnetic resonance (MR) images exhibit various contrasts and appearances...
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12/20/2021
HyperSegNAS: Bridging One-Shot Neural Architecture Search with 3D Medical Image Segmentation using HyperNet
Semantic segmentation of 3D medical images is a challenging task due to ...
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12/07/2021
RSBNet: One-Shot Neural Architecture Search for A Backbone Network in Remote Sensing Image Recognition
Recently, a massive number of deep learning based approaches have been s...
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10/18/2021
GAN-based disentanglement learning for chest X-ray rib suppression
Clinical evidence has shown that rib-suppressed chest X-rays (CXRs) can ...
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04/17/2021
Context-Aware Interaction Network for Question Matching
Impressive milestones have been achieved in text matching by adopting a ...
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03/08/2021
U-DuDoNet: Unpaired dual-domain network for CT metal artifact reduction
Recently, both supervised and unsupervised deep learning methods have be...
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12/04/2020
XraySyn: Realistic View Synthesis From a Single Radiograph Through CT Priors
A radiograph visualizes the internal anatomy of a patient through the us...
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10/06/2020
A Multi-Task Incremental Learning Framework with Category Name Embedding for Aspect-Category Sentiment Analysis
(T)ACSA tasks, including aspect-category sentiment analysis (ACSA) and t...
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01/30/2020
Ellipse R-CNN: Learning to Infer Elliptical Object from Clustering and Occlusion
Images of heavily occluded objects in cluttered scenes, such as fruit cl...
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11/30/2019
Idle Time Optimization for Target Assignment and Path Finding in Sortation Centers
In this paper, we study the one-shot and lifelong versions of the Target...
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11/28/2019
An Efficient Multi-Domain Framework for Image-to-Image Translation
Existing approaches have been proposed to tackle unsupervised image-to-i...
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11/18/2019
Potential Field: Interpretable and Unified Representation for Trajectory Prediction
Predicting an agent's future trajectory is a challenging task given the ...
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09/20/2019
Map as The Hidden Sensor: Fast Odometry-Based Global Localization
Accurate and robust global localization is essential to robotics applica...
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08/15/2019
Towards multi-sequence MR image recovery from undersampled k-space data
Undersampled MR image recovery has been widely studied for accelerated M...
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08/15/2019
Deep Slice Interpolation via Marginal Super-Resolution, Fusion and Refinement
We propose a marginal super-resolution (MSR) approach based on 2D convol...
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06/29/2019
DuDoNet: Dual Domain Network for CT Metal Artifact Reduction
Computed tomography (CT) is an imaging modality widely used for medical ...
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03/26/2019
Generative Tensor Network Classification Model for Supervised Machine Learning
Tensor network (TN) has recently triggered extensive interests in develo...
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05/01/2018
Adaptive View Planning for Aerial 3D Reconstruction of Complex Scenes
With the proliferation of small aerial vehicles, acquiring close up aeri...
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10/13/2017
Machine Learning by Two-Dimensional Hierarchical Tensor Networks: A Quantum Information Theoretic Perspective on Deep Architectures
The resemblance between the methods used in studying quantum-many body p...
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07/09/2017
A Fast Integrated Planning and Control Framework for Autonomous Driving via Imitation Learning
For safe and efficient planning and control in autonomous driving, we ne...
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03/31/2017