Jingyi Xu

About

Hi! I am Jingyi Xu, a fourth year PhD student at Stony Brook University working with Professor Dimitris Samaras. My research interets lie in the field of Computer Vision and Deep Learning, with a focus on representation learning and transfer/low-shot learning. For more information, please refer to my Curriculum Vitae.

Updates

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, 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 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