Carnegie Mellon University
September 30, 2021

Xulab Publishes Two Papers in Top Computer Vision Conference

Two papers from Dr. Min Xu’s lab were accepted by the International Conference of Computer Vision (ICCV), a top conference in computer vision. These papers developed unsupervised and weakly supervised methods for automating the analysis of in situ cryo-electron tomography data, which will facilitate the detection and recovery of macromolecular structures.

The papers were titled:

  • End-to-end robust joint unsupervised image alignment and clustering
  • Weakly supervised 3D semantic segmentation using cross-image consensus and inter-voxel affinity relations

One of the first authors, Taylor Zeng, is a fifth-year Ph.D. student in the Carnegie Mellon-University of Pittsburgh Ph.D. Program in Computational Biology (CPCB). His paper is a follow-up of his previous first-author paper in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).