Updates

    • 04/2026: Give a talk on “How LLMs Are Changing the Way We Build AI Systems?” at UCF.
    • 02/2026: One CVPR'26 paper on personalized image description is accepted.
    • 01/2026: One ICLR'26 paper on data attribution is accepted.
    • 06/2025: Three ICCV'25 papers on token merging, gaze target estimation and object counting are accepted.
    • 05/2025: One MICCAI'25 paper on 3D human heart modeling is accepted.
    • 02/2025: One CVPR'25 paper on personalized scanpath prediction is accepted.
    • 01/2025: One ICLR'25 paper on compositional text-to-image generation is accepted as spotlight.
    • 10/2024: One WACV'25 paper on object counting is accepted.
    • 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 object detection and object counting are accepted.
    • 03/2022: One CVPR'22 paper on image classification is accepted.
    • 07/2021: One ICCV'21 paper on fine-grained 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

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      Personalized Image Descriptions from Attention Sequences.
      Ruoyu Xue, Hieu Le, Jingyi Xu, Sounak Mondal, Abe Leite, Gregory Zelinsky, Minh Hoai, Dimitris Samaras.
      IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2026.

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      Learning to Weight Parameters for Data Attribution.
      Shuangqi Li, Hieu Le, Jingyi Xu, Mathieu Salzmann.
      International Conference on Learning Representations (ICLR) 2026.

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      CORA: Consistency-Guided Semi-Supervised Framework for Reasoning Segmentation.
      Prantik Howlader, Hoang Nguyen-Canh, Srijan Das , Jingyi Xu, Hieu Le , Dimitris Samaras.
      IEEE Winter Conference on Applications of Computer Vision (WACV) 2026.

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      Importance-Based Token Merging for Efficient Image and Video Generation.
      Haoyu Wu, Jingyi Xu, Hieu Le, Dimitris Samaras.
      IEEE International Conference on Computer Vision (ICCV) 2025 (Oral).

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      Multi-view Gaze Target Estimation.
      Qiaomu Miao, Vivek Raju Golani, Jingyi Xu, Progga Paromita Dutta, Minh Hoai, Dimitris Samaras.
      IEEE International Conference on Computer Vision (ICCV) 2025.

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      Counting Stacked Objects.
      Corentin Dumery, Noa Ette, Aoxiang Fan, Ren Li, Jingyi Xu, Hieu Le, Pascal Fua.
      IEEE International Conference on Computer Vision (ICCV) 2025 (Oral).

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      Pairwise-Constrained Implicit Functions for 3D Human Heart Modeling.
      Hieu Le, Jingyi Xu, Nicolas Talabot, Jiancheng Yang, Pascal Fua.
      Medical Image Computing and Computer Assisted Intervention (MICCAI) 2025.

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      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.

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      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).

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

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

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

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      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.

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

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      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.

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      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