Search Results for author: Fangfang Wang

Found 10 papers, 2 papers with code

Semiparametric Regression for Spatial Data via Deep Learning

no code implementations10 Jan 2023 Kexuan Li, Jun Zhu, Anthony R. Ives, Volker C. Radeloff, Fangfang Wang

To be specific, we use a sparsely connected deep neural network with rectified linear unit (ReLU) activation function to estimate the unknown regression function that describes the relationship between response and covariates in the presence of spatial dependence.


S2TNet: Spatio-Temporal Transformer Networks for Trajectory Prediction in Autonomous Driving

1 code implementation22 Jun 2022 Weihuang Chen, Fangfang Wang, Hongbin Sun

To safely and rationally participate in dense and heterogeneous traffic, autonomous vehicles require to sufficiently analyze the motion patterns of surrounding traffic-agents and accurately predict their future trajectories.

Autonomous Driving Trajectory Prediction

Deep Feature Screening: Feature Selection for Ultra High-Dimensional Data via Deep Neural Networks

no code implementations4 Apr 2022 Kexuan Li, Fangfang Wang, Lingli Yang, Ruiqi Liu

The applications of traditional statistical feature selection methods to high-dimension, low sample-size data often struggle and encounter challenging problems, such as overfitting, curse of dimensionality, computational infeasibility, and strong model assumption.

CFNet: Learning Correlation Functions for One-Stage Panoptic Segmentation

no code implementations13 Jan 2022 Yifeng Chen, Wenqing Chu, Fangfang Wang, Ying Tai, Ran Yi, Zhenye Gan, Liang Yao, Chengjie Wang, Xi Li

Recently, there is growing attention on one-stage panoptic segmentation methods which aim to segment instances and stuff jointly within a fully convolutional pipeline efficiently.

Instance Segmentation Panoptic Segmentation

Calibrating multi-dimensional complex ODE from noisy data via deep neural networks

no code implementations7 Jun 2021 Kexuan Li, Fangfang Wang, Ruiqi Liu, Fan Yang, Zuofeng Shang

Our method is able to recover the ODE system without being subject to the curse of dimensionality and complicated ODE structure.

TextRay: Contour-based Geometric Modeling for Arbitrary-shaped Scene Text Detection

1 code implementation11 Aug 2020 Fangfang Wang, Yifeng Chen, Fei Wu, Xi Li

Arbitrary-shaped text detection is a challenging task due to the complex geometric layouts of texts such as large aspect ratios, various scales, random rotations and curve shapes.

Scene Text Detection

A New Nonparametric Estimate of the Risk-Neutral Density with Applications to Variance Swaps

no code implementations15 Aug 2018 Liyuan Jiang, Shuang Zhou, Keren Li, Fangfang Wang, Jie Yang

We develop a new nonparametric approach for estimating the risk-neutral density of asset prices and reformulate its estimation into a double-constrained optimization problem.

Geometry-Aware Scene Text Detection With Instance Transformation Network

no code implementations CVPR 2018 Fangfang Wang, Liming Zhao, Xi Li, Xinchao Wang, DaCheng Tao

Localizing text in the wild is challenging in the situations of complicated geometric layout of the targets like random orientation and large aspect ratio.

General Classification Multi-Task Learning +4

Graph-Theoretic Spatiotemporal Context Modeling for Video Saliency Detection

no code implementations25 Jul 2017 Lina Wei, Fangfang Wang, Xi Li, Fei Wu, Jun Xiao

As a result, a key issue in video saliency detection is how to effectively capture the intrinsical properties of atomic video structures as well as their associated contextual interactions along the spatial and temporal dimensions.

Video Saliency Detection

Cannot find the paper you are looking for? You can Submit a new open access paper.