|
I am a PhD student at ETH Zurich and University of Tübingen, supervised by Marc Pollefeys and Andreas Geiger. I was very fortunate to work with several amazing supervisors. I spent a wonderful time working remotely with Jianfei Cai and Hamid Rezatofighi at Monash University, Australia, prior to starting my PhD. I obtained a master's degree at University of Science and Technology of China (USTC) supervised by Juyong Zhang. During my master's, I exchanged at Nanyang Technological University (NTU), Singapore, where I was supervised by Jianfei Cai and Jianmin Zheng. I also interned at Microsoft Research Asia (MSRA), where I was mentored by Jiaolong Yang and Xin Tong. I am honored to receive the Outstanding Reviewer Award (CVPR 2022), Top Reviewer Award (NeurIPS 2024), and the 2025 Apple Scholar in AI/ML. |
|
|
I have broad interests in computer vision, particularly in fundamental research problems like dense correspondences, motion, 3D and video representation learning. I like to explore simple and effective approaches to solving fundamental challenges. Please see the full publication list on Google Scholar. |
|
Cheng Zhang, Haofei Xu, Qianyi Wu, Camilo Cruz Gambardella, Dinh Phung, Jianfei Cai Computer Vision and Pattern Recognition (CVPR), 2025 paper / project page / code / interactive 4K 360 demo 4K (2048x4096) panorama synthesis with a hierarchical feed-forward Gaussian splatting model. |
|
Haofei Xu, Songyou Peng, Fangjinhua Wang, Hermann Blum, Daniel Barath, Andreas Geiger, Marc Pollefeys Computer Vision and Pattern Recognition (CVPR), 2025 paper / project page / code Cross-task interactions between Gaussian splatting and depth estimation. |
|
|
Botao Ye, Sifei Liu, Haofei Xu, Xueting Li, Marc Pollefeys, Ming-Hsuan Yang, Songyou Peng International Conference on Learning Representations (ICLR), 2025 (Oral) paper / project page / code Unposed 3DGS reconstruction made easy. |
|
|
Yuedong Chen, Chuanxia Zheng, Haofei Xu, Bohan Zhuang, Andrea Vedaldi, Tat-Jen Cham, Jianfei Cai Neural Information Processing Systems (NeurIPS), 2024 paper / project page / code Empowering MVSplat with a video diffusion model. |
|
|
Yuedong Chen, Haofei Xu, Chuanxia Zheng, Bohan Zhuang, Marc Pollefeys, Andreas Geiger, Tat-Jen Cham, Jianfei Cai European Conference on Computer Vision (ECCV), 2024 (Oral) paper / project page / code A cost volume representation for efficiently predicting 3D Gaussians from sparse multi-view images in a single feed-forward inference. |
|
Anpei Chen, Haofei Xu, Stefano Esposito, Siyu Tang, Andreas Geiger European Conference on Computer Vision (ECCV), 2024 paper / project page / code A feed-forward 2DGS model trained in two days using four GPUs. |
|
Haofei Xu, Jing Zhang, Jianfei Cai, Hamid Rezatofighi, Fisher Yu, Dacheng Tao, Andreas Geiger IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 paper / project page / slides / video(cn) / colab / demo / code A unified dense correspondence matching formulation enables three motion and 3D perception tasks to be solved with a unified model. |
|
Haofei Xu, Jing Zhang, Jianfei Cai, Hamid Rezatofighi, Dacheng Tao Computer Vision and Pattern Recognition (CVPR), 2022 (Oral) paper / slides / video(cn) / poster / code Learning cross-view features with a Transformer enables optical flow to be solved by directly comparing feature similarities. |
|
Haofei Xu, Jiaolong Yang, Jianfei Cai, Juyong Zhang, Xin Tong International Conference on Computer Vision (ICCV), 2021 (Oral) paper / code Factorizing 2D optical flow with 1D attention and 1D correlation enables 4K resolution optical flow estimation on standard GPUs. |
|
Haofei Xu, Juyong Zhang Computer Vision and Pattern Recognition (CVPR), 2020 paper / code A sparse points-based cost aggregation method leads to an efficient and accurate stereo matching architecture without any 3D convolutions. |
|
|
|
|
|
|
|