output
20122025
most citedDense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images

348 citations

Showing 2018Show all

10 papers · 1 filter

math.AP2018★ 16 cited

A class large solution of the 2D MHD equations with velocity and magnetic damping

Jinlu Li, Minghua Yang, Yanghai Yu

In this paper, we construct a class global large solution to the two-dimensional MHD equations with damp terms in the nonhomogeneous Sobolev framework.

cs.CV2018

Deep Smoke Segmentation

Feiniu Yuan, Lin Zhang, Xue Xia +3

Inspired by the recent success of fully convolutional networks (FCN) in semantic segmentation, we propose a deep smoke segmentation network to infer high quality segmentation masks…

cs.CV2018

Robustness Analysis of Pedestrian Detectors for Surveillance

Yuming Fang, Guanqun Ding, Yuan Yuan +2

To obtain effective pedestrian detection results in surveillance video, there have been many methods proposed to handle the problems from severe occlusion, pose variation, clutter…

cs.CV2018★ 5 cited

Video Saliency Detection by 3D Convolutional Neural Networks

Guanqun Ding, Yuming Fang

Different from salient object detection methods for still images, a key challenging for video saliency detection is how to extract and combine spatial and temporal features. In thi…

cs.CV2018★ 8 cited

An Integration of Bottom-up and Top-Down Salient Cues on RGB-D Data: Saliency from Objectness vs. Non-Objectness

Nevrez Imamoglu, Wataru Shimoda, Chi Zhang +4

Bottom-up and top-down visual cues are two types of information that helps the visual saliency models. These salient cues can be from spatial distributions of the features (space-b…

cs.CV2018★ 51 cited

Hyperspectral Image Dataset for Benchmarking on Salient Object Detection

Nevrez Imamoglu, Yu Oishi, Xiaoqiang Zhang +4

Many works have been done on salient object detection using supervised or unsupervised approaches on colour images. Recently, a few studies demonstrated that efficient salient obje…

math.ST2018

Bahadur representations for the bootstrap median absolute deviation and the application to projection depth weighted mean

Qing Liu, Xiaohui Liu

Median absolute deviation (hereafter MAD) is known as a robust alternative to the ordinary variance. It has been widely utilized to induce robust statistical inferential procedures…

math.ST2018

Limit theory for an AR(1) model with intercept and a possible infinite variance

Qing Liu, Xiaohui Liu

In this paper, we derive the limit distribution of the least squares estimator for an AR(1) model with a non-zero intercept and a possible infinite variance. It turns out that the…

math.NA2018★ 3 cited

Convergence rates of truncated EM scheme for NSDDEs

Li Tan, Chenggui Yuan

This paper is concerned with strong convergence of the truncated Euler-Maruyama scheme for neutral stochastic differential delay equations driven by Brownian motion and pure jumps…

math.NA2018★ 4 cited

A note on strong convergence of implicit scheme for SDEs under local one-sided Lipschitz conditions

Li Tan, Chenggui Yuan

Under a local one-sided Lipschitz condition, Krylov [KR] proved the existence and uniqueness of the strong solutions for stochastic differential equations by using the Euler-Maruya…