81 citations · 250 across the 25 of their papers we have counts for
25 papers · 1 filter
MOTRv3: Release-Fetch Supervision for End-to-End Multi-Object Tracking
En Yu, Tiancai Wang, Zhuoling Li +3
Although end-to-end multi-object trackers like MOTR enjoy the merits of simplicity, they suffer from the conflict between detection and association seriously, resulting in unsatisf…
Generalizing Multiple Object Tracking to Unseen Domains by Introducing Natural Language Representation
En Yu, Songtao Liu, Zhuoling Li +4
Although existing multi-object tracking (MOT) algorithms have obtained competitive performance on various benchmarks, almost all of them train and validate models on the same domai…
Quality Matters: Embracing Quality Clues for Robust 3D Multi-Object Tracking
Jinrong Yang, En Yu, Zeming Li +2
3D Multi-Object Tracking (MOT) has achieved tremendous achievement thanks to the rapid development of 3D object detection and 2D MOT. Recent advanced works generally employ a serie…
Geo-Neus: Geometry-Consistent Neural Implicit Surfaces Learning for Multi-view Reconstruction
Qiancheng Fu, Qingshan Xu, Yew-Soon Ong +1
Recently, neural implicit surfaces learning by volume rendering has become popular for multi-view reconstruction. However, one key challenge remains: existing approaches lack expli…
SC^2-PCR: A Second Order Spatial Compatibility for Efficient and Robust Point Cloud Registration
Zhi Chen, Kun Sun, Fan Yang +1
In this paper, we present a second order spatial compatibility (SC^2) measure based method for efficient and robust point cloud registration (PCR), called SC^2-PCR. Firstly, we pro…
DetarNet: Decoupling Translation and Rotation by Siamese Network for Point Cloud Registration
Zhi Chen, Fan Yang, Wenbing Tao
Point cloud registration is a fundamental step for many tasks. In this paper, we propose a neural network named DetarNet to decouple the translation and rotation , so as to…
Non-local Recurrent Regularization Networks for Multi-view Stereo
Qingshan Xu, Martin R. Oswald, Wenbing Tao +2
In deep multi-view stereo networks, cost regularization is crucial to achieve accurate depth estimation. Since 3D cost volume filtering is usually memory-consuming, recurrent 2D co…
LIF-Seg: LiDAR and Camera Image Fusion for 3D LiDAR Semantic Segmentation
Lin Zhao, Hui Zhou, Xinge Zhu +3
Camera and 3D LiDAR sensors have become indispensable devices in modern autonomous driving vehicles, where the camera provides the fine-grained texture, color information in 2D spa…
Cascade Network with Guided Loss and Hybrid Attention for Finding Good Correspondences
Zhi Chen, Fan Yang, Wenbing Tao
Finding good correspondences is a critical prerequisite in many feature based tasks. Given a putative correspondence set of an image pair, we propose a neural network which finds c…
DeepDT: Learning Geometry From Delaunay Triangulation for Surface Reconstruction
Yiming Luo, Zhenxing Mi, Wenbing Tao
In this paper, a novel learning-based network, named DeepDT, is proposed to reconstruct the surface from Delaunay triangulation of point cloud. DeepDT learns to predict inside/outs…
Cascade Network with Guided Loss and Hybrid Attention for Two-view Geometry
Zhi Chen, Fan Yang, Wenbing Tao
In this paper, we are committed to designing a high-performance network for two-view geometry. We first propose a Guided Loss and theoretically establish the direct negative correl…
PVSNet: Pixelwise Visibility-Aware Multi-View Stereo Network
Qingshan Xu, Wenbing Tao
Recently, learning-based multi-view stereo methods have achieved promising results. However, they all overlook the visibility difference among different views, which leads to an in…
Learning Inverse Depth Regression for Multi-View Stereo with Correlation Cost Volume
Qingshan Xu, Wenbing Tao
Deep learning has shown to be effective for depth inference in multi-view stereo (MVS). However, the scalability and accuracy still remain an open problem in this domain. This can…
Planar Prior Assisted PatchMatch Multi-View Stereo
Qingshan Xu, Wenbing Tao
The completeness of 3D models is still a challenging problem in multi-view stereo (MVS) due to the unreliable photometric consistency in low-textured areas. Since low-textured area…
JSNet: Joint Instance and Semantic Segmentation of 3D Point Clouds
Lin Zhao, Wenbing Tao
In this paper, we propose a novel joint instance and semantic segmentation approach, which is called JSNet, in order to address the instance and semantic segmentation of 3D point c…
IoU-uniform R-CNN: Breaking Through the Limitations of RPN
Li Zhu, Zihao Xie, Liman Liu +2
Region Proposal Network (RPN) is the cornerstone of two-stage object detectors, it generates a sparse set of object proposals and alleviates the extrem foregroundbackground class i…
SSRNet: Scalable 3D Surface Reconstruction Network
Zhenxing Mi, Yiming Luo, Wenbing Tao
Existing learning-based surface reconstruction methods from point clouds are still facing challenges in terms of scalability and preservation of details on large-scale point clouds…
Localization-aware Channel Pruning for Object Detection
Zihao Xie, Wenbing Tao, Li Zhu +1
Channel pruning is one of the important methods for deep model compression. Most of existing pruning methods mainly focus on classification. Few of them conduct systematic research…
GLA-Net: An Attention Network with Guided Loss for Mismatch Removal
Zhi Chen, Fan Yang, Wenbing Tao
Mismatch removal is a critical prerequisite in many feature-based tasks. Recent attempts cast the mismatch removal task as a binary classification problem and solve it through deep…
Multi-Scale Geometric Consistency Guided Multi-View Stereo
Qingshan Xu, Wenbing Tao
In this paper, we propose an efficient multi-scale geometric consistency guided multi-view stereo method for accurate and complete depth map estimation. We first present our basic…
GPU Accelerated Cascade Hashing Image Matching for Large Scale 3D Reconstruction
Tao Xu, Kun Sun, Wenbing Tao
Image feature point matching is a key step in Structure from Motion(SFM). However, it is becoming more and more time consuming because the number of images is getting larger and la…
Multi-View Stereo with Asymmetric Checkerboard Propagation and Multi-Hypothesis Joint View Selection
Qingshan Xu, Wenbing Tao
In computer vision domain, how to fast and accurately perform multiview stereo (MVS) is still a challenging problem. In this paper we present a fast yet accurate method for 3D dens…
Trilaminar Multiway Reconstruction Tree for Efficient Large Scale Structure from Motion
Kun Sun, Wenbing Tao
Accuracy and efficiency are two key problems in large scale incremental Structure from Motion (SfM). In this paper, we propose a unified framework to divide the image set into clus…
Convolutional Regression for Visual Tracking
Kai Chen, Wenbing Tao
Recently, discriminatively learned correlation filters (DCF) has drawn much attention in visual object tracking community. The success of DCF is potentially attributed to the fact…