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01/10/2023
Semiparametric Regression for Spatial Data via Deep Learning
In this work, we propose a deep learning-based method to perform semipar...
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06/22/2022
S2TNet: Spatio-Temporal Transformer Networks for Trajectory Prediction in Autonomous Driving
To safely and rationally participate in dense and heterogeneous traffic,...
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04/04/2022
Deep Feature Screening: Feature Selection for Ultra High-Dimensional Data via Deep Neural Networks
The applications of traditional statistical feature selection methods to...
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01/13/2022
CFNet: Learning Correlation Functions for One-Stage Panoptic Segmentation
Recently, there is growing attention on one-stage panoptic segmentation ...
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11/30/2021
Scalable Semiparametric Spatio-temporal Regression for Large Data Analysis
With the rapid advances of data acquisition techniques, spatio-temporal ...
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06/07/2021
Calibrating multi-dimensional complex ODE from noisy data via deep neural networks
Ordinary differential equations (ODEs) are widely used to model complex ...
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08/11/2020
TextRay: Contour-based Geometric Modeling for Arbitrary-shaped Scene Text Detection
Arbitrary-shaped text detection is a challenging task due to the complex...
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03/31/2020
BANet: Bidirectional Aggregation Network with Occlusion Handling for Panoptic Segmentation
Panoptic segmentation aims to perform instance segmentation for foregrou...
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08/15/2018
A New Nonparametric Estimate of the Risk-Neutral Density with Application to Variance Swap
In this paper, we develop a new nonparametric approach for estimating th...
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07/25/2017