CMU & MBZUAI: Postdoc / PhD positions in Image Analysis

Dr. Min Xu lab at the School of Computer Science at Carnegie Mellon University is looking for multiple Postdoc researchers or PhD students in the image analysis field. We publish at such conferences and journals as CVPR, ICCV, MICCAI, AAAI, ISMB, BMVC, and Bioinformatics. We also have remote intern positions, which may be helpful to those who plan to apply for graduate programs after one year.

Dr. Xu is also affiliated with the Computer Vision Department at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI). His lab at MBZUAI is also looking for master and PhD applicants. We provide scholarships for both master and PhD students.

Those interested please email Dr. Xu.

You are also very welcome to read our publication, and if you can come out with new ideas on how to improve my previously published work, let us know. If you are interested in collaborating with us to publish papers, please also let us know.

Representative publications:

Uddin M, Howe G, Zeng X, Xu M. Harmony: A Generic Unsupervised Approach for Disentangling Semantic Content from Parameterized Transformations. IEEE conference on computer vision and pattern recognition (CVPR 2022).

Zeng X, Xu M. Gum-Net: Unsupervised geometric matching for fast and accurate 3D subtomogram image alignment and averaging. In Proceedings of the IEEE conference on computer vision and pattern recognition (CVPR 2020).

Zeng X, Howe G, Xu M. End-to-end robust joint unsupervised image alignment and clustering. International Conference on Computer Vision (ICCV 2021)

Zhu X, Chen J, Zeng X, Liang J, Li C, Liu S, Behpour S, Xu M. Weakly Supervised 3D Semantic Segmentation Using Cross-Image Consensus and Inter-Voxel Affinity Relations. International Conference on Computer Vision (ICCV 2021)

Zhao G, Zhou B, Wang K, Jiang R, Xu M. Respond-CAM: Analyzing Deep Models for 3D Imaging Data by Visualizations. Medical Image Computing & Computer Assisted Intervention (MICCAI) 2018. arXiv:1806.00102

Wang T, Li X, Yang P, Hu G, Zeng X, Huang S, Xu C, Xu M. Boosting Active Learning via Improving Test Performance. AAAI Conference on Artificial Intelligence. (AAAI 2022) arXiv:2112.05683

给老师发邮件啦，chao****@usc.edu，非常感谢