Wenbing Tao

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Huazhong University of Science u0026 Technology

Cascade Network with Guided Loss and Hybrid Attention for Finding Good Correspondences

Finding good correspondences is a critical prerequisite in many feature ...
01/31/2021 ∙ by Zhi Chen, et al. ∙ 0 ∙ share

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DeepDT: Learning Geometry From Delaunay Triangulation for Surface Reconstruction

In this paper, a novel learning-based network, named DeepDT, is proposed...
01/25/2021 ∙ by Yiming Luo, et al. ∙ 0 ∙ share

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PVSNet: Pixelwise Visibility-Aware Multi-View Stereo Network

Recently, learning-based multi-view stereo methods have achieved promisi...
07/15/2020 ∙ by Qingshan Xu, et al. ∙ 0 ∙ share

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Learning Inverse Depth Regression for Multi-View Stereo with Correlation Cost Volume

Deep learning has shown to be effective for depth inference in multi-vie...
12/26/2019 ∙ by Qingshan Xu, et al. ∙ 14 ∙ share

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Planar Prior Assisted PatchMatch Multi-View Stereo

The completeness of 3D models is still a challenging problem in multi-vi...
12/26/2019 ∙ by Qingshan Xu, et al. ∙ 7 ∙ share

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JSNet: Joint Instance and Semantic Segmentation of 3D Point Clouds

In this paper, we propose a novel joint instance and semantic segmentati...
12/20/2019 ∙ by Lin Zhao, et al. ∙ 5 ∙ share

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IoU-uniform R-CNN: Breaking Through the Limitations of RPN

Region Proposal Network (RPN) is the cornerstone of two-stage object det...
12/11/2019 ∙ by Li Zhu, et al. ∙ 18 ∙ share

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TSRNet: Scalable 3D Surface Reconstruction Network for Point Clouds using Tangent Convolution

Existing learning-based surface reconstruction methods from point clouds...
11/18/2019 ∙ by Zhenxing Mi, et al. ∙ 0 ∙ share

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Localization-aware Channel Pruning for Object Detection

Channel pruning is one of the important methods for deep model compressi...
11/06/2019 ∙ by Zihao Xie, et al. ∙ 11 ∙ share

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GLA-Net: An Attention Network with Guided Loss for Mismatch Removal

Mismatch removal is a critical prerequisite in many feature-based tasks....
09/28/2019 ∙ by Zhi Chen, et al. ∙ 0 ∙ share

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Multi-Scale Geometric Consistency Guided Multi-View Stereo

In this paper, we propose an efficient multi-scale geometric consistency...
04/17/2019 ∙ by Qingshan Xu, et al. ∙ 0 ∙ share

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GPU Accelerated Cascade Hashing Image Matching for Large Scale 3D Reconstruction

Image feature point matching is a key step in Structure from Motion(SFM)...
05/23/2018 ∙ by Tao Xu, et al. ∙ 0 ∙ share

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Multi-View Stereo with Asymmetric Checkerboard Propagation and Multi-Hypothesis Joint View Selection

In computer vision domain, how to fast and accurately perform multiview ...
05/21/2018 ∙ by Qingshan Xu, et al. ∙ 0 ∙ share

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Trilaminar Multiway Reconstruction Tree for Efficient Large Scale Structure from Motion

Accuracy and efficiency are two key problems in large scale incremental ...
12/21/2016 ∙ by Kun Sun, et al. ∙ 0 ∙ share

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Convolutional Regression for Visual Tracking

Recently, discriminatively learned correlation filters (DCF) has drawn m...
11/14/2016 ∙ by Kai Chen, et al. ∙ 0 ∙ share

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Once for All: a Two-flow Convolutional Neural Network for Visual Tracking

One of the main challenges of visual object tracking comes from the arbi...
04/26/2016 ∙ by Kai Chen, et al. ∙ 0 ∙ share

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Wenbing Tao

Featured Co-authors

Fan Yang

Kai Chen

Zhi Chen

Tao Xu

Zhu Li

Li Zhu

Lin Zhao

Kun Sun

Qingshan Xu

Yiming Luo

Zihao Xie

Cascade Network with Guided Loss and Hybrid Attention for Finding Good Correspondences

DeepDT: Learning Geometry From Delaunay Triangulation for Surface Reconstruction

PVSNet: Pixelwise Visibility-Aware Multi-View Stereo Network

Learning Inverse Depth Regression for Multi-View Stereo with Correlation Cost Volume

Planar Prior Assisted PatchMatch Multi-View Stereo

JSNet: Joint Instance and Semantic Segmentation of 3D Point Clouds

IoU-uniform R-CNN: Breaking Through the Limitations of RPN

TSRNet: Scalable 3D Surface Reconstruction Network for Point Clouds using Tangent Convolution

Localization-aware Channel Pruning for Object Detection

GLA-Net: An Attention Network with Guided Loss for Mismatch Removal

Multi-Scale Geometric Consistency Guided Multi-View Stereo

GPU Accelerated Cascade Hashing Image Matching for Large Scale 3D Reconstruction

Multi-View Stereo with Asymmetric Checkerboard Propagation and Multi-Hypothesis Joint View Selection

Trilaminar Multiway Reconstruction Tree for Efficient Large Scale Structure from Motion

Convolutional Regression for Visual Tracking

Once for All: a Two-flow Convolutional Neural Network for Visual Tracking