张若凡
(资料登记日期:2024-03-14)

教师姓名:张若凡

性别:

专业技术职务:助教

教育背景

  2015.9—2020.6 本科 厦门大学 电子信息科学与技术专业
  2020.9—2023.6 硕士 清华大学 电子信息(人工智能)专业

研究方向

  人工智能、计算机视觉、图像超分辨率算法

学术成果

  1.Zhang R, Gu J, Chen H, et al. Crafting Training Degradation Distribution for the Accuracy-Generalization Trade-off in Real-World Super-Resolution[C]//International Conference on Machine Learning. 2023.
  2.Gu J, Cai H, Dong C, Zhang R, et al. Super-Resolution by Predicting Offsets: An Ultra-Efficient Super-Resolution Network for Rasterized Images[C]//European Conference on Computer Vision. Cham: Springer Nature Switzerland, 2022: 583-598.
  3.Dong C, Ma H, Gu J, Zhang R, et al. On the Sparsity of Image Super-Resolution Network[C]//I Can’t Believe It’s Not Better Workshop: Understanding Deep Learning Through Empirical Falsification. 2022. (NIPS workshop)