Qunjie Zhou

According to our database, Qunjie Zhou authored at least 21 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

A Guide to Structureless Visual Localization.

Vojtech Panek, Qunjie Zhou, Yaqing Ding, Sérgio Agostinho, Zuzana Kukelova, Torsten Sattler, Laura Leal-Taixé

Int. J. Comput. Vis., June, 2026

Déjà View: Looping Transformers for Multi-View 3D Reconstruction.

Alessandro Burzio, Tobias Fischer, Sven Elflein, Qunjie Zhou, Riccardo de Lutio, Jiawei Ren, Jiahui Huang, Shengyu Huang, Marc Pollefeys, Laura Leal-Taixé, Zan Gojcic, Haithem Turki

CoRR, May, 2026

VGG-T³: Offline Feed-Forward 3D Reconstruction at Scale.

Sven Elflein, Ruilong Li, Sérgio Agostinho, Zan Gojcic, Laura Leal-Taixé, Qunjie Zhou, Aljosa Osep

CoRR, February, 2026

Depth Completion as Parameter-Efficient Test-Time Adaptation.

Bingxin Ke, Qunjie Zhou, Jiahui Huang, Xuanchi Ren, Tianchang Shen, Konrad Schindler, Laura Leal-Taixé, Shengyu Huang

CoRR, February, 2026

2025

ViPE: Video Pose Engine for 3D Geometric Perception.

Jiahui Huang, Qunjie Zhou, Hesam Rabeti, Aleksandr Korovko, Huan Ling, Xuanchi Ren, Tianchang Shen, Jun Gao, Dmitry Slepichev, Chen-Hsuan Lin, Jiawei Ren, Kevin Xie, Joydeep Biswas, Laura Leal-Taixé, Sanja Fidler

CoRR, August, 2025

MATCHA:Towards Matching Anything.

Fei Xue, Sven Elflein, Laura Leal-Taixé, Qunjie Zhou

CoRR, January, 2025

Light3R-SfM: Towards Feed-forward Structure-from-Motion.

Sven Elflein, Qunjie Zhou, Sérgio Agostinho, Laura Leal-Taixé

CoRR, January, 2025

Sem-MASt3R: Semantically Guided Feature Matching with MASt3R.

Dario Tenore, Daniel Barath, Marc Pollefeys, Qunjie Zhou

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

MATCHA: Towards Matching Anything.

Fei Xue, Sven Elflein, Laura Leal-Taixé, Qunjie Zhou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Light3R-SfM: Towards Feed-forward Structure-from-Motion.

Sven Elflein, Qunjie Zhou, Laura Leal-Taixé

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

DynOMo: Online Point Tracking by Dynamic Online Monocular Gaussian Reconstruction.

Jenny Seidenschwarz, Qunjie Zhou, Bardienus Pieter Duisterhof, Deva Ramanan, Laura Leal-Taixé

Proceedings of the International Conference on 3D Vision, 2025

2024

The NeRFect Match: Exploring NeRF Features for Visual Localization.

Qunjie Zhou, Maxim Maximov, Or Litany, Laura Leal-Taixé

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Deep Learning Meets Visual Localization.

Qunjie Zhou

PhD thesis, 2023

2022

Is Geometry Enough for Matching in Visual Localization?

Qunjie Zhou, Sérgio Agostinho, Aljosa Osep, Laura Leal-Taixé

Proceedings of the Computer Vision - ECCV 2022, 2022

Text2Pos: Text-to-Point-Cloud Cross-Modal Localization.

Manuel Kolmet, Qunjie Zhou, Aljosa Osep, Laura Leal-Taixé

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Sensory, somatomotor and internal mentation networks emerge dynamically in the resting brain with internal mentation predominating in older age.

Lu Zhang, Jiajia Zhao, Qunjie Zhou, Zhaowen Liu, Yi Zhang, Wei Cheng, Weikang Gong, Xiaoping Hu, Wenlian Lu, Edward T. Bullmore, Chun-Yi Zac Lo, Jianfeng Feng

NeuroImage, 2021

Patch2Pix: Epipolar-Guided Pixel-Level Correspondences.

Qunjie Zhou, Torsten Sattler, Laura Leal-Taixé

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Coming Down to Earth: Satellite-to-Street View Synthesis for Geo-Localization.

Aysim Toker, Qunjie Zhou, Maxim Maximov, Laura Leal-Taixé

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

To Learn or Not to Learn: Visual Localization from Essential Matrices.

Qunjie Zhou, Torsten Sattler, Marc Pollefeys, Laura Leal-Taixé

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

Understanding the Limitations of CNN-Based Absolute Camera Pose Regression.

Torsten Sattler, Qunjie Zhou, Marc Pollefeys, Laura Leal-Taixé

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

A Crowdsourcing Approach for the Inference of Distribution Grids.

Pezhman Nasirifard, José Rivera, Qunjie Zhou, Klaus Bernd Schreiber, Hans-Arno Jacobsen

Proceedings of the Ninth International Conference on Future Energy Systems, 2018