Publications

More Publications

. Neural Radiance Flow for 4D View Synthesis and Video Processing. Preprint, 2021. PDF Website
. OpenRooms: An End-to-End Open Framework for Photorealistic Indoor Scene Datasets. CVPR (oral), 2021. PDF Website Short video Long video
. Letter-level Online Writer Identification. IJCV (to appear), 2020.
. Weakly supervised discriminative feature learning with state information for person identification. CVPR, 2020. PDF Code
. Unsupervised Person Re-identification by Soft Multilabel Learning. CVPR (oral), 2019. PDF Code Supp
. Patch Based Discriminative Feature Learning for Unsupervised Person Re-identification. CVPR, 2019. PDF Code
. Unsupervised Person Re-identification by Deep Asymmetric Metric Embedding. TPAMI, 2018. PDF Code
. MIXGAN: Learning Concepts from Different Domains for Mixture Generation. IJCAI, 2018. PDF
. Adversarial Attribute-Image Person Re-identification. IJCAI, 2018. PDF
. Cross-view Asymmetric Metric Learning for Unsupervised Person Re-identification. ICCV, 2017. PDF Code

Selected (Master-phase) Publications

Weakly supervised discriminative feature learning with state information for person identification

We propose a simple pseudo label model which uses state information (e.g. camera view labels in re-id and pose labels in face recognition) to refine pseudo labels. Despite simplicity, it achieves comparable performances to standard supervised fine-tuning on several datasets.

Unsupervised Person Re-identification by Soft Multilabel Learning

Lacking pairwise labels is the fundamental challenge in unsupervised person re-identification. We propose a novel paradigm to learn soft labels that are interpretable and lead to superior performances. Tackling this fundamental issue allows future research to ultimately approach supervised performances.

Cross-view Asymmetric Metric Learning for Unsupervised Person Re-identification

We demonstrate the potential of unsupervised person re-identification by introducing a key principle: camera view-aware modeling. This principle is now widely adopted in unsupervised/domain adaptive RE-ID works.

Service

  • Conference reviewer for CVPR18, CVPR20, NeurIPS20, WACV21, CVPR21, ICML21, ICCV21
  • Journal reviewer for TPAMI, Neurocomputing
  • Aiming for better reproducibility, I maintain open-source codes for all my first-authored work. Please check my github page at https://github.com/KovenYu

Selected Awards

  • School of Engineering Fellowship, by Stanford University, 2020-2021
  • Outstanding Graduate of Guangdong Province (1391), by Department of Education of Guangdong Province, 2020
  • Chinese National Scholarship (1248), by Minister of Education of China, 2019
  • Chinese National Scholarship (1248), by Minister of Education of China, 2018
  • Chinese National Scholarship (2105), by Minister of Education of China, 2016