Haofei Xu

According to our database, Haofei Xu authored at least 26 papers between 2019 and 2026.

Collaborative distances:

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

2026

Learn2Splat: Extending the Horizon of Learned 3DGS Optimization.

Naama Pearl, Stefano Esposito, Haofei Xu, Amit Peleg, Patricia Gschossmann, Lorenzo Porzi, Peter Kontschieder, Gerard Pons-Moll, Andreas Geiger

CoRR, May, 2026

Measuring Google AI Overviews: Activation, Source Quality, Claim Fidelity, and Publisher Impact.

Haofei Xu, Umar Iqbal, Jacob M. Montgomery

CoRR, May, 2026

Feed-Forward 3D Scene Modeling: A Problem-Driven Perspective.

Weijie Wang, Qihang Cao, Sensen Gao, Donny Y. Chen, Haofei Xu, Wenjing Bian, Songyou Peng, Tat-Jen Cham, Chuanxia Zheng, Andreas Geiger, Jianfei Cai, Jia-Wang Bian, Bohan Zhuang

CoRR, April, 2026

MegaFlow: Zero-Shot Large Displacement Optical Flow.

Dingxi Zhang, Fangjinhua Wang, Marc Pollefeys, Haofei Xu

CoRR, March, 2026

Conditional Rectified Flow-based End-to-End Rapid Seismic Inversion Method.

Haofei Xu, Wei Cheng, Sizhe Li, Jie Xiong

CoRR, March, 2026

2025

Explicit Correspondence Matching for Generalizable Neural Radiance Fields.

Yuedong Chen, Haofei Xu, Qianyi Wu, Chuanxia Zheng, Tat-Jen Cham, Jianfei Cai

IEEE Trans. Pattern Anal. Mach. Intell., December, 2025

YoNoSplat: You Only Need One Model for Feedforward 3D Gaussian Splatting.

Botao Ye, Boqi Chen, Haofei Xu, Daniel Barath, Marc Pollefeys

CoRR, November, 2025

ReSplat: Learning Recurrent Gaussian Splats.

Haofei Xu, Daniel Barath, Andreas Geiger, Marc Pollefeys

CoRR, October, 2025

What does the public want their local government to hear? A data-driven case study of public comments across the state of Michigan.

Chang Ge, Justine Zhang, Haofei Xu, Yanna Krupnikov, Jenna Bednar, Sabina Tomkins

CoRR, July, 2025

No Pose, No Problem: Surprisingly Simple 3D Gaussian Splats from Sparse Unposed Images.

Botao Ye, Sifei Liu, Haofei Xu, Xueting Li, Marc Pollefeys, Ming-Hsuan Yang, Songyou Peng

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Multi-View 3D Point Tracking.

Frano Rajic, Haofei Xu, Marko Mihajlovic, Siyuan Li, Irem Demir, Emircan Gündogdu, Lei Ke, Sergey Prokudin, Marc Pollefeys, Siyu Tang

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

CL-Splats: Continual Learning of Gaussian Splatting with Local Optimization.

Jan Ackermann, Jonas Kulhanek, Shengqu Cai, Haofei Xu, Marc Pollefeys, Gordon Wetzstein, Leonidas J. Guibas, Songyou Peng

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

PanSplat: 4K Panorama Synthesis with Feed-Forward Gaussian Splatting.

Cheng Zhang, Haofei Xu, Qianyi Wu, Camilo Cruz Gambardella, Dinh Q. Phung, Jianfei Cai

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

DepthSplat: Connecting Gaussian Splatting and Depth.

Haofei Xu, Songyou Peng, Fangjinhua Wang, Hermann Blum, Daniel Barath, Andreas Geiger, Marc Pollefeys

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

2024

MVSplat360: Feed-Forward 360 Scene Synthesis from Sparse Views.

Yuedong Chen, Chuanxia Zheng, Haofei Xu, Bohan Zhuang, Andrea Vedaldi, Tat-Jen Cham, Jianfei Cai

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-view Images.

Yuedong Chen, Haofei Xu, Chuanxia Zheng, Bohan Zhuang, Marc Pollefeys, Andreas Geiger, Tat-Jen Cham, Jianfei Cai

Proceedings of the Computer Vision - ECCV 2024, 2024

LaRa: Efficient Large-Baseline Radiance Fields.

Anpei Chen, Haofei Xu, Stefano Esposito, Siyu Tang, Andreas Geiger

Proceedings of the Computer Vision - ECCV 2024, 2024

MuRF: Multi-Baseline Radiance Fields.

Haofei Xu, Anpei Chen, Yuedong Chen, Christos Sakaridis, Yulun Zhang, Marc Pollefeys, Andreas Geiger, Fisher Yu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

GoMVS: Geometrically Consistent Cost Aggregation for Multi-View Stereo.

Jiang Wu, Rui Li, Haofei Xu, Wenxun Zhao, Yu Zhu, Jinqiu Sun, Yanning Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Unifying Flow, Stereo and Depth Estimation.

Haofei Xu, Jing Zhang, Jianfei Cai, Hamid Rezatofighi, Fisher Yu, Dacheng Tao, Andreas Geiger

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Facial optical flow estimation via neural non-rigid registration.

Zhuang Peng, Boyi Jiang, Haofei Xu, Wanquan Feng, Juyong Zhang

Comput. Vis. Media, 2023

2022

GMFlow: Learning Optical Flow via Global Matching.

Haofei Xu, Jing Zhang, Jianfei Cai, Hamid Rezatofighi, Dacheng Tao

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

2021

High-Resolution Optical Flow from 1D Attention and Correlation.

Haofei Xu, Jiaolong Yang, Jianfei Cai, Juyong Zhang, Xin Tong

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Recurrent Multi-View Alignment Network for Unsupervised Surface Registration.

Wanquan Feng, Juyong Zhang, Hongrui Cai, Haofei Xu, Junhui Hou, Hujun Bao

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

2020

AANet: Adaptive Aggregation Network for Efficient Stereo Matching.

Haofei Xu, Juyong Zhang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Region Deformer Networks for Unsupervised Depth Estimation from Unconstrained Monocular Videos.

Haofei Xu, Jianmin Zheng, Jianfei Cai, Juyong Zhang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019