Wenbing Tao | DeepAI

AI Chat

Featured Co-authors

Fan Yang
225 publications
Hongsheng Li
185 publications
Kai Chen
182 publications
Xiangyu Zhang
153 publications
Marc Pollefeys
129 publications
Zhi Chen
83 publications
Yew Soon Ong
66 publications
Xinge Zhu
45 publications
Martin R. Oswald
39 publications
Lin Zhao
39 publications
Tao Xu
35 publications

∙ 05/23/2023

MOTRv3: Release-Fetch Supervision for End-to-End Multi-Object Tracking

Although end-to-end multi-object trackers like MOTR enjoy the merits of ...

0 En Yu, et al. ∙

∙ 05/31/2022

Geo-Neus: Geometry-Consistent Neural Implicit Surfaces Learning for Multi-view Reconstruction

Recently, neural implicit surfaces learning by volume rendering has beco...

0 Qiancheng Fu, et al. ∙

∙ 03/28/2022

SC^2-PCR: A Second Order Spatial Compatibility for Efficient and Robust Point Cloud Registration

In this paper, we present a second order spatial compatibility (SC^2) me...

0 Zhi Chen, et al. ∙

∙ 12/28/2021

DetarNet: Decoupling Translation and Rotation by Siamese Network for Point Cloud Registration

Point cloud registration is a fundamental step for many tasks. In this p...

9 Zhi Chen, et al. ∙

∙ 10/13/2021

Non-local Recurrent Regularization Networks for Multi-view Stereo

In deep multi-view stereo networks, cost regularization is crucial to ac...

0 Qingshan Xu, et al. ∙

∙ 08/17/2021

LIF-Seg: LiDAR and Camera Image Fusion for 3D LiDAR Semantic Segmentation

Camera and 3D LiDAR sensors have become indispensable devices in modern ...

0 Lin Zhao, et al. ∙

∙ 01/31/2021

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

Finding good correspondences is a critical prerequisite in many feature ...

0 Zhi Chen, et al. ∙

∙ 01/25/2021

DeepDT: Learning Geometry From Delaunay Triangulation for Surface Reconstruction

In this paper, a novel learning-based network, named DeepDT, is proposed...

0 Yiming Luo, et al. ∙

∙ 07/15/2020

PVSNet: Pixelwise Visibility-Aware Multi-View Stereo Network

Recently, learning-based multi-view stereo methods have achieved promisi...

0 Qingshan Xu, et al. ∙

∙ 12/26/2019

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...

14 Qingshan Xu, et al. ∙

∙ 12/26/2019

Planar Prior Assisted PatchMatch Multi-View Stereo

The completeness of 3D models is still a challenging problem in multi-vi...

7 Qingshan Xu, et al. ∙

∙ 12/20/2019

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

In this paper, we propose a novel joint instance and semantic segmentati...

5 Lin Zhao, et al. ∙

∙ 12/11/2019

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

Region Proposal Network (RPN) is the cornerstone of two-stage object det...

18 Li Zhu, et al. ∙

∙ 11/18/2019

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

Existing learning-based surface reconstruction methods from point clouds...

0 Zhenxing Mi, et al. ∙

∙ 11/06/2019

Localization-aware Channel Pruning for Object Detection

Channel pruning is one of the important methods for deep model compressi...

11 Zihao Xie, et al. ∙

∙ 09/28/2019

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

Mismatch removal is a critical prerequisite in many feature-based tasks....

0 Zhi Chen, et al. ∙

∙ 04/17/2019

Multi-Scale Geometric Consistency Guided Multi-View Stereo

In this paper, we propose an efficient multi-scale geometric consistency...

0 Qingshan Xu, et al. ∙

∙ 05/23/2018

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

Image feature point matching is a key step in Structure from Motion(SFM)...

0 Tao Xu, et al. ∙

∙ 05/21/2018

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

In computer vision domain, how to fast and accurately perform multiview ...

0 Qingshan Xu, et al. ∙

∙ 12/21/2016

Trilaminar Multiway Reconstruction Tree for Efficient Large Scale Structure from Motion

Accuracy and efficiency are two key problems in large scale incremental ...

0 Kun Sun, et al. ∙

∙ 11/14/2016

Convolutional Regression for Visual Tracking

Recently, discriminatively learned correlation filters (DCF) has drawn m...

0 Kai Chen, et al. ∙

∙ 04/26/2016

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...

0 Kai Chen, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world