most citedTransMVSNet: Global Context-aware Multi-view Stereo Network with Transformers

13 citations · 25 across the 6 of their papers we have counts for

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cs.CV2021★ 1 cited

MegBA: A GPU-Based Distributed Library for Large-Scale Bundle Adjustment

Jie Ren, Wenteng Liang, Ran Yan +3

Large-scale Bundle Adjustment (BA) requires massive memory and computation resources which are difficult to be fulfilled by existing BA libraries. In this paper, we propose MegBA,…

cs.CV2021★ 13 cited

TransMVSNet: Global Context-aware Multi-view Stereo Network with Transformers

Yikang Ding, Wentao Yuan, Qingtian Zhu +4

In this paper, we present TransMVSNet, based on our exploration of feature matching in multi-view stereo (MVS). We analogize MVS back to its nature of a feature matching task and t…

cs.CV2021★ 6 cited

MegLoc: A Robust and Accurate Visual Localization Pipeline

Shuxue Peng, Zihang He, Haotian Zhang +4

In this paper, we present a visual localization pipeline, namely MegLoc, for robust and accurate 6-DoF pose estimation under varying scenarios, including indoor and outdoor scenes,…

cs.CV2021★ 2 cited

LOF: Structure-Aware Line Tracking based on Optical Flow

Meixiang Quan, Zheng Chai, Xiao Liu

Lines provide the significantly richer geometric structural information about the environment than points, so lines are widely used in recent Visual Odometry (VO) works. Since VO w…

cs.CV2021

Method Towards CVPR 2021 SimLocMatch Challenge

Xiaopeng Bi, Ran Yan, Zheng Chai +2

This report describes Megvii-3D team's approach towards SimLocMatch Challenge @ CVPR 2021 Image Matching Workshop.

cs.CV2021★ 3 cited

Method Towards CVPR 2021 Image Matching Challenge

Xiaopeng Bi, Yu Chen, Xinyang Liu +5

This report describes Megvii-3D team's approach towards CVPR 2021 Image Matching Workshop.