Updates

  • Feb 2025: One CVPR’25 paper on personalized scanpath prediction is accepted.
  • Jan 2025: One ICLR’25 paper on compositional text-to-image generation is accepted as spotlight.
  • Oct 2024: One WACV’25 paper on object counting is accepted.
  • Jul 2024: One ECCV’24 paper on sample quality assessment is accepted.
  • Jun 2024: Successfully defended my Ph.D.!
  • May 2023: Start my internship at Amazon (Seattle).
  • Feb 2023: Two CVPR’23 papers on object detection and object counting are accepted.
  • Mar 2022: One CVPR’22 paper on image classification is accepted.
  • Jul 2021: One ICCV’21 paper on fine-grained few-shot image classification is accepted.
  • May 2021: Start my internship at NEC Laboratories America.
  • Sep 2019: Start my Ph.D. at Stony Brook Computer Science!

Publications

  • drawing
      Few-shot Personalized Scanpath Prediction.
      Ruoyu Xue, Jingyi Xu, Sounak Mondal, Hieu Le, Greg Zelinsky, Minh Hoai , Dimitris Samaras.
      IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2025.

  • drawing
      Enhancing Compositional Text-to-Image Generation with Reliable Random Seeds.
      Shuangqi Li, Hieu Le, Jingyi Xu, Mathieu Salzmann.
      International Conference on Learning Representations (ICLR) 2025 (Spotlight).

  • drawing
      Learning to Count from Pseudo-Labeled Segmentation.
      Jingyi Xu, Hieu Le, Dimitris Samaras.
      European Conference on Computer Vision (WACV) 2025.

  • drawing
      Assessing Sample Quality via the Latent Space of Generative Models.
      Jingyi Xu, Hieu Le, Dimitris Samaras.
      European Conference on Computer Vision (ECCV) 2024.

  • drawing
      Zero-Shot Object Counting.
      Jingyi Xu, Hieu Le, Vu Nguyen, Viresh Ranjan, Dimitris Samaras.
      IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2023.

  • drawing
      Generating Features With Increased Crop-related Diversity For Few-shot Object Detection.
      Jingyi Xu, Hieu Le, Dimitris Samaras.
      IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2023.

  • drawing
      Generating Representative Samples for Few-Shot Classification.
      Jingyi Xu, Hieu Le
      IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022.

  • drawing
      Variational Feature Disentangling for Fine-Grained Few-Shot Classification.
      Jingyi Xu, Hieu Le, Mingzhen Huang, ShahRukh Athar, Dimitris Samaras.
      IEEE International Conference on Computer Vision (ICCV) 2021.

  • drawing
      RegularFace: Deep Face Recognition via Exclusive Regularization.
      Kai Zhao, Jingyi Xu, Ming-Ming Cheng.
      IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2019.

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