Updates

  • 07/2024: One ECCV’24 paper on sample quality assessment is accepted.
  • 06/2024: Successfully defended my Ph.D.!
  • 05/2023: Start my internship at Amazon (Seattle).
  • 02/2023: Two CVPR’23 papers on few-shot object detection and object counting are accepted.
  • 03/2022: One CVPR’22 paper on few-shot image classification is accepted.
  • 07/2021: One ICCV’21 paper on few-shot image classification is accepted.
  • 05/2021: Start my internship at NEC Laboratories America.
  • 09/2019: Start my Ph.D. at Stony Brook Computer Science!

Publications

  • Jingyi Xu, Hieu Le, Dimitris Samaras. Assessing Sample Quality via the Latent Space of Generative Models. European Conference on Computer Vision (ECCV) 2024.
  • Jingyi Xu, Hieu Le, Vu Nguyen, Viresh Ranjan, Dimitris Samaras. Zero-shot Object Counting. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2023.
  • Jingyi Xu, Hieu Le, Dimitris Samaras. Generating Features With Increased Crop-related Diversity For Few-shot Object Detection. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2023.
  • Jingyi Xu, Hieu Le. Generating Representative Samples for Few-Shot Classification. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022.
  • Jingyi Xu, Hieu Le, Mingzhen Huang, ShahRukh Athar, Dimitris Samaras. Variational Feature Disentangling for Fine-Grained Few-Shot Classification. IEEE International Conference on Computer Vision (ICCV) 2021. [ PDF ]
  • Kai Zhao, Jingyi Xu, Mingming Cheng. RegularFace: Deep Face Recognition via Exclusive Regularization. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2019. [ PDF ]

Experience

  • Research Intern at Amazon, Seattle, May 2023 - July 2023
  • Research Intern at NEC Lab, CA, May 2021 - Aug 2021
  • Research Intern at SenseTime, Beijing, Dec 2018 - July 2019
  • Research Intern at Panasonic R&D Center,Singapore, Sep 2018 - Dec 2018
  • Research Assistant at Notre Dame University, USA, June 2018 - Sep 2018