Biography

I am a software engineer at Google AI Perception. I received my Ph.D. in Electrial Engineering at the University of Southern California advised by Prof. C.-C. Jay Kuo . Before that, I received my B. Eng. degree from The University of Hong Kong in 2014, under the supervision of Prof. Edmund Y. Lam.

My primary research interest lies in machine learning, deep learning for object localization. More information is available in my curriculum vitae.

Selected Publications

• Instance Embedding Transfer to Unsupervised Video Object Segmentation
  Siyang Li, Bryan Seybold, Alexey Vorobyov, Alireza Fathi, Qin Huang, and C-C. Jay Kuo
  In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), 2018
  [Paper] [Code]
• Unsupervised Video Object Segmentation with Motion-based Bilateral Networks
  Siyang Li, Bryan Seybold, Alexey Vorobyov, Xuejing Lei, and C-C. Jay Kuo
  In Proceedings of the European Conference on Computer Vision (ECCV) 2018
  [Paper] [Code]
• Representative Fashion Feature Extraction by Leveraging Weakly Annotated Online Resources
  Heming Zhang*, Siyang Li*,, Shanshan Cai, Haoyu Jiang, and C-C. Jay Kuo (*Equal Contribution)
  In IEEE International Conference on Image Processing (ICIP) 2018
  [Paper]
• Design Pseudo Ground Truth with Motion Cue for Unsupervised Video Object Segmentation
  Ye Wang, Jongmoo Choi, Yueru Chen, Qin Huang, Siyang Li, Ming-Sui Lee and C-C. Jay Kuo
  In Proceedings of the Asian Conference on Computer Vision (ACCV) 2018
  [Paper]
• Semantic Image Segmentation Using Encoder-Decoder Architecture Assisted by Global and Local Attention Models (EDA-GLAM)
  Hao Xu, Siyang Li, and C-C. Jay Kuo
  In IS&T International Symposium on Electronic Imaging 2018 (Best Student Paper)
  
• Multiple Instance Curriculum Learning for Weakly Supervised Object Detection
  Siyang Li, Xiangxin Zhu, Qin Huang, Hao Xu, and C-C. Jay Kuo
  In Proceedings of the British Machine Vision Conference (BMVC) 2017
  [Paper]
• Box refinement: Object proposal enhancement and pruning
  Siyang Li, Heming Zhang, Junting Zhang, Yuzhuo Ren, and C-C. Jay Kuo
  In IEEE Winter Conference on Applications of Computer Vision (WACV) 2017
  [Paper]
• Semantic Segmentation with Reverse Attention
  Qin Huang, Chunyang Xia, Chihao Wu, Siyang Li, Ye Wang, Yuhang Song and C-C. Jay Kuo
  In Proceedings of the British Machine Vision Conference (BMVC) 2017 (Oral Presentation)
  [Paper]

Honors and Awards

• Annenberg Graduate Ph.D. Fellowship
  University of Southern California, 2014-2018
  
• Deans Honours List (for top 10% students, awarded three times)
  The University of Hong Kong, 2012-2014
• The 26th Chinese Physics Olympiad (CPhO), Silver Medal, 2009

Working Experience

• Google Inc. Video Object Segmentation
  Research Intern, Mountain View, US, 2017.5 - 2017.8
  
• Google Inc. Weakly Supervised Object Detection
  Research Intern, Mountain View, US, 2016.5 - 2016.8
  
• Google Inc. Handwriting Layout Analysis
  Research Intern, Mountain View, US, 2015.5 - 2015.8
  

Miscellaneous Links

• Google Scholar
  
• LinkedIn