Search Results - "Zhang, Dingwen"
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1
Determining the Number and Values of Thresholds for Multi-regime Threshold Ornstein–Uhlenbeck Processes
Published in Journal of theoretical probability (01-11-2024)“…The threshold Ornstein–Uhlenbeck process is a stochastic process that satisfies a stochastic differential equation with a drift term modeled as a piecewise…”
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Journal Article -
2
Co-Saliency Detection via a Self-Paced Multiple-Instance Learning Framework
Published in IEEE transactions on pattern analysis and machine intelligence (01-05-2017)“…As an interesting and emerging topic, co-saliency detection aims at simultaneously extracting common salient objects from a group of images. On one hand,…”
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3
Robust Object Co-Segmentation Using Background Prior
Published in IEEE transactions on image processing (01-04-2018)“…Given a set of images that contain objects from a common category, object co-segmentation aims at automatically discovering and segmenting such common objects…”
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Journal Article -
4
Revisiting Co-Saliency Detection: A Novel Approach Based on Two-Stage Multi-View Spectral Rotation Co-clustering
Published in IEEE transactions on image processing (01-07-2017)“…With the goal of discovering the common and salient objects from the given image group, co-saliency detection has received tremendous research interest in…”
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5
Object Detection in Optical Remote Sensing Images Based on Weakly Supervised Learning and High-Level Feature Learning
Published in IEEE transactions on geoscience and remote sensing (01-06-2015)“…The abundant spatial and contextual information provided by the advanced remote sensing technology has facilitated subsequent automatic interpretation of the…”
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6
Cosaliency Detection Based on Intrasaliency Prior Transfer and Deep Intersaliency Mining
Published in IEEE transaction on neural networks and learning systems (01-06-2016)“…As an interesting and emerging topic, cosaliency detection aims at simultaneously extracting common salient objects in multiple related images. It differs from…”
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7
Background Prior-Based Salient Object Detection via Deep Reconstruction Residual
Published in IEEE transactions on circuits and systems for video technology (01-08-2015)“…Detection of salient objects from images is gaining increasing research interest in recent years as it can substantially facilitate a wide range of…”
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8
Revealing Event Saliency in Unconstrained Video Collection
Published in IEEE transactions on image processing (01-04-2017)“…Recent progresses in multimedia event detection have enabled us to find videos about a predefined event from a large-scale video collection. Research towards…”
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9
Least squares estimators for reflected Ornstein-Uhlenbeck processes
Published in Communications in statistics. Theory and methods (01-11-2024)“…In this article, we investigate the parameter estimation problem for reflected Ornstein-Uhlenbeck processes with mean reversion. Both estimates based on either…”
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10
SODA: Weakly Supervised Temporal Action Localization Based on Astute Background Response and Self-Distillation Learning
Published in International journal of computer vision (01-08-2021)“…Weakly supervised temporal action localization is a practical yet challenging task. Although great efforts have been made in recent years, the existing methods…”
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11
Supervision by Fusion: Towards Unsupervised Learning of Deep Salient Object Detector
Published in 2017 IEEE International Conference on Computer Vision (ICCV) (01-10-2017)“…In light of the powerful learning capability of deep neural networks (DNNs), deep (convolutional) models have been built in recent years to address the task of…”
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Conference Proceeding -
12
Learning Self-supervised Low-Rank Network for Single-Stage Weakly and Semi-supervised Semantic Segmentation
Published in International journal of computer vision (01-05-2022)“…Semantic segmentation with limited annotations, such as weakly supervised semantic segmentation (WSSS) and semi-supervised semantic segmentation (SSSS), is a…”
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13
Automatic pancreas segmentation based on lightweight DCNN modules and spatial prior propagation
Published in Pattern recognition (01-06-2021)“…•A lightweight pancreas segmentation model with spatial prior is presented.•A new prior propagation module is built to dynamically explore the spatial…”
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14
Mechanical behaviour and micro-structure of cement-stabilised marine clay with a metakaolin agent
Published in Construction & building materials (30-12-2014)“…•Metakaolinite is an effective agent for cemented soils.•Unconfined compression strength with 3% and 5% MK are about 2.0–3.0 times that of soils lacking…”
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15
Hydraulic conductivity of cement-stabilized marine clay with metakaolin and its correlation with pore size distribution
Published in Engineering geology (02-07-2015)“…Metakaolin (MK), widely used for high-performance concrete admixtures, is introduced into improving the percolation behaviors of cement-stabilized soft clays,…”
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16
Seismic response of underground structure–soil–aboveground structure coupling system: Current status and future prospects
Published in Tunnelling and underground space technology (01-04-2022)“…•Seismic response analysis methods of coupling system are reviewed.•Seismic response characteristics of coupling system are summarized.•Interaction mechanisms…”
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17
Scribble-Supervised Video Object Segmentation
Published in IEEE/CAA journal of automatica sinica (01-02-2022)“…Recently, video object segmentation has received great attention in the computer vision community. Most of the existing methods heavily rely on the pixel-wise…”
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18
Deformation behaviors and control indexes of metro-station deep excavations based on case histories
Published in Tunnelling and underground space technology (01-04-2022)“…•Field data of 26 metro-station deep excavations are collected by automatic monitoring.•Empirical relationships of metro-station deep excavations deformation…”
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Research on strength and deformation properties of high moisture soft soils stabilized by GGBS, cement, fly ash, and sodium silicate
Published in Construction & building materials (18-10-2024)“…Cement displays notable shortcomings in deep soil mixing column (DSM) applications,including column-forming failure in soft soil with a high water content and…”
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20
Predicting eye fixations using convolutional neural networks
Published in 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (01-06-2015)“…It is believed that eye movements in free-viewing of natural scenes are directed by both bottom-up visual saliency and top-down visual factors. In this paper,…”
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Conference Proceeding