Yin Cui

Research Scientist at Google


Hi, I am Yin Cui (崔崟 in Chinese, pronounced as /yin tsui/), a Research Scientist at Google. Before joining Google, I received my Ph.D. in Computer Science from Cornell University and Cornell Tech in 2019, advised by Professor Serge Belongie. My research interests lie in the field of Computer Vision and Machine Learning.

Research Highlights

CVPR 2020

CVPR 2019

CVPR 2018

CVPR 2018 (Spotlight)

CVPR 2017



  • Xianzhi Du, Tsung-Yi Lin, Pengchong Jin, Golnaz Ghiasi, Mingxing Tan, Yin Cui, Quoc V Le, Xiaodan Song. SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization. Computer Vision and Pattern Recognition (CVPR) 2020. [arXiv] [Code]

  • Menglin Jia*, Mengyun Shi*, Mikhail Sirotenko*, Yin Cui*, Claire Cardie, Bharath Hariharan, Hartwig Adam, Serge Belongie (*equal contribution). Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset. arXiv preprint arXiv:2004.12276 2020. [Website] [arXiv] [Kaggle Challenge]

  • Xuhong Li, Yves Grandvalet, Franck Davoine, Jingchun Cheng, Yin Cui, Hang Zhang, Serge Belongie, Yi-Hsuan Tsai, Ming-Hsuan Yang. Transfer learning in computer vision tasks: Remember where you come from. Image and Vision Computing 2020. [Link]


  • Yin Cui. Learning from Fine-Grained and Long-Tailed Visual Data. Cornell University Theses and Dissertations. [Link]

  • Yin Cui*, Zeqi Gu*, Dhruv Mahajan, Laurens van der Maaten, Serge Belongie, Ser-Nam Lim (*equal contribution). Measuring Dataset Granularity. arXiv preprint arXiv:1912.10154 2019. [arXiv]

  • Sheng Guo, Weilin Huang, Xiao Zhang, Prasanna Srikhanta, Yin Cui, Yuan Li, Hartwig Adam, Matthew R Scott, Serge Belongie. The iMaterialist Fashion Attribute Dataset. ICCV Workshop on Computer Vision for Fashion, Art, and Design 2019 (Best Paper Award). [arXiv] [Code]

  • Yin Cui, Menglin Jia, Tsung-Yi Lin, Yang Song, Serge Belongie. Class-Balanced Loss Based on Effective Number of Samples. Computer Vision and Pattern Recognition (CVPR) 2019. [arXiv] [Code] [Poster]


  • Longqi Yang, Yin Cui, Yuan Xuan, Chenyang Wang, Serge Belongie, Deborah Estrin. Unbiased Offline Recommender Evaluation for Missing-Not-At-Random Implicit Feedback. ACM Conference on Recommender Systems (RecSys) 2018. [Link] [Code] [Slides]

  • Guandao Yang, Yin Cui, Serge Belongie, Bharath Hariharan. Learning Single-View 3D Reconstruction with Limited Pose Supervision. European Conference on Computer Vision (ECCV) 2018. [Link] [Code] [Poster]

  • Yin Cui, Yang Song, Chen Sun, Andrew Howard, Serge Belongie. Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. Computer Vision and Pattern Recognition (CVPR) 2018. [arXiv] [Data] [Code] [Poster] [Tensorflow Hub]

  • Yin Cui, Guandao Yang, Andreas Veit, Xun Huang, Serge Belongie. Learning to Evaluate Image Captioning. Computer Vision and Pattern Recognition (CVPR) 2018. [arXiv] [Code] [Poster]

  • Grant Van Horn, Oisin Mac Aodha, Yang Song, Yin Cui, Chen Sun, Alex Shepard, Hartwig Adam, Pietro Perona, Serge Belongie. The iNaturalist Species Classification and Detection Dataset. Computer Vision and Pattern Recognition (CVPR) 2018 (Spotlight). [arXiv] [Data] [Tensorflow Object Detection API] [Google AI Blog] [TechCrunch]


  • Yin Cui, Feng Zhou, Jiang Wang, Xiao Liu, Yuanqing Lin, Serge Belongie. Kernel Pooling for Convolutional Neural Networks. Computer Vision and Pattern Recognition (CVPR) 2017. [Link] [Poster]

  • Cheng-Kang Hsieh, Longqi Yang, Yin Cui, Tsung-Yi Lin, Serge Belongie, Deborah Estrin. Collaborative Metric Learning. International Conference on World Wide Web (WWW) 2017. [Link] [Code] [Slides]


  • Yin Cui, Feng Zhou, Yuanqing Lin, Serge Belongie. Fine-grained Categorization and Dataset Bootstrapping using Deep Metric Learning with Humans in the Loop. Computer Vision and Pattern Recognition (CVPR) 2016. [Link] [arXiv] [Poster]


  • Longqi Yang, Yin Cui, Fan Zhang, John P Pollak, Serge Belongie, Deborah Estrin. PlateClick: Bootstrapping Food Preferences Through an Adaptive Visual Interface. ACM International on Conference on Information and Knowledge Management (CIKM) 2015. [Link] [Data] [Slides]

  • Tsung-Yi Lin, Yin Cui, Serge Belongie, James Hays. Learning Deep Representations for Ground-to-Aerial Geolocalization. Computer Vision and Pattern Recognition (CVPR) 2015 (Oral). [Link] [Data] [Extended Abstract] [Poster]


  • Tao Chen, Felix X Yu, Jiawei Chen, Yin Cui, Yan-Ying Chen, Shih-Fu Chang. Object-based visual sentiment concept analysis and application. ACM international conference on Multimedia (MM) 2014. [Link]

  • Yin Cui, Dong Liu, Jiawei Chen, Shih-Fu Chang. Building a large concept bank for representing events in video. arXiv preprint arXiv:1403.7591 2014. [arXiv]

  • Jiawei Chen*, Yin Cui*, Guangnan Ye, Dong Liu, Shih-Fu Chang (*equal contribution). Event-driven semantic concept discovery by exploiting weakly tagged internet images. International Conference on Multimedia Retrieval (ICMR) 2014. [Link] [Slides]

  • Yin Cui, Yongzhou Xiang, Kun Rong, Rogerio Feris, Liangliang Cao. A spatial-color layout feature for content-based galaxy image retrieval. IEEE Winter Conference on Applications of Computer Vision (WACV) 2014. [Link] [Poster]


Professional Activities

  • Organizing Committee of ImageNet and COCO Visual Recognition Workshop at ICCV 2015, ECCV 2016
  • Organizing Committee of Joint Workshop of the COCO and Places Challenges at ICCV 2017
  • Organizing Committee of Joint COCO and Mapilary Recognition Challenge Workshop at ECCV 2018, ICCV 2019
  • Organizing Committee of Fine-Grained Visual Categorization Workshop at CVPR 2017, CVPR 2018, CVPR 2019
  • Organizing Committee of Large-scale Scene Understanding Workshop (MS COCO Captioning Challenge) at CVPR 2015
  • Member of Common Visual Data Foundation (CVDF), 2016 - Present
  • Reviewer for CVPR, ICCV, ECCV, NeurIPS and ICML

Selected Honors

  • McMullen Fellowship (Sep 2014)
  • Edwin Howard Armstrong Memorial Award (May 2014)
  • Wei Family Private Foundation Special Scholarship (Oct 2013)
  • National Scholarship (Oct 2010)