publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2024

  1. Enhancing Hypergradients Estimation: A Study of Preconditioning and Reparameterization
    Z. Ye, G. Peyré, D. Cremers, and P. Ablin
    In Proceedings of The 27th International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
    PDF Code
  2. Sparse Views, Near Light: A Practical Paradigm for Uncalibrated Point-light Photometric Stereo
    M. Brahimi, B. Haefner, Z. Ye, B. Goldluecke, and D. Cremers
    In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
    PDF

2022

  1. A Cutting-Plane Method for Sublabel-Accurate Relaxation of Problems with Product Label Spaces
    Z. Ye, B. Haefner, Y. Quéau, T. Möllenhoff, and D. Cremers
    International Journal of Computer Vision (IJCV), 2022
    PDF
  2. Joint Deep Multi-Graph Matching and 3D Geometry Learning from Inhomogeneous 2D Image Collections
    Z. Ye, T. Yenamandra, F. Bernard, and D. Cremers
    In The Association for the Advancement of Artificial Intelligence (AAAI), 2022
    PDF

2021

  1. Sublabel-Accurate Multilabeling Meets Product Label Spaces
    Z. Ye, B. Haefner, Y. Quéau, T. Möllenhoff, and D. Cremers
    In DAGM German Conference on Pattern Recognition (GCPR), 2021
    PDF Code

2020

  1. Optimization of Graph Total Variation via Active-Set-based Combinatorial Reconditioning
    Z. Ye, T. Möllenhoff, T. Wu, and D. Cremers
    In International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
    PDF Code

2019

  1. Variational Uncalibrated Photometric Stereo under General Lighting
    B. Haefner*, Z. Ye*, M. Gao, T. Wu, Y. Quéau, and D. Cremers
    In IEEE/CVF International Conference on Computer Vision (ICCV), 2019
    PDF Code

2018

  1. Combinatorial Preconditioners for Proximal Algorithms on Graphs
    T. Möllenhoff, Z. Ye, T. Wu, and D. Cremers
    In International Conference on Artificial Intelligence and Statistics (AISTATS), 2018
    PDF