Kuiyuan Yang

Principal Researcher, Xiaomi Corporation

Joined

December 2017

Names

Kuiyuan Yang (Preferred)

Emails

****@deepmotion.ai (Confirmed)

****@outlook.com (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Principal Researcher

Xiaomi Corporation (xiaomi.com)

2021 – 2026

Chief Scientist

DeepMotion (deepmotion.ai)

2017 – 2021

Researcher

Microsoft (microsoft.com)

2012 – 2017

PhD student

University of Science and Technology of China (ustc.edu)

2007 – 2012

Advisors, Relations & Conflicts

PhD Advisor

Hong Jiang Zhang

2007 – 2012

Expertise

computer vision

2007 – 2026

artificial intelligence

2007 – 2026

Publications

Decoupled Convolutions for CNNs
Guotian Xie, Ting Zhang, Kuiyuan Yang, Jianhuang Lai, Jingdong Wang
- 2018 (modified: 02 Mar 2020)
- AAAI 2018
- Readers: Everyone
DenseASPP for Semantic Segmentation in Street Scenes
Maoke Yang, Kun Yu, Chi Zhang, Zhiwei Li, Kuiyuan Yang
- 2018 (modified: 26 Apr 2023)
- CVPR 2018
- Readers: Everyone
Hard-Aware Deeply Cascaded Embedding
Yuhui Yuan, Kuiyuan Yang, Chao Zhang
- 2017 (modified: 10 Nov 2022)
- ICCV 2017
- Readers: Everyone
You Lead, We Exceed: Labor-Free Video Concept Learning by Jointly Exploiting Web Videos and Images
Chuang Gan, Ting Yao, Kuiyuan Yang, Yi Yang, Tao Mei
- 2016 (modified: 10 Nov 2022)
- CVPR 2016
- Readers: Everyone
Tagging Personal Photos with Transfer Deep Learning
Jianlong Fu, Tao Mei, Kuiyuan Yang, Hanqing Lu, Yong Rui
- 2015 (modified: 12 Nov 2022)
- WWW 2015
- Readers: Everyone
The application of two-level attention models in deep convolutional neural network for fine-grained image classification
Tianjun Xiao, Yichong Xu, Kuiyuan Yang, Jiaxing Zhang, Yuxin Peng, Zheng Zhang
- 2015 (modified: 11 Nov 2022)
- CVPR 2015
- Readers: Everyone
PartBook for image parsing
Kuiyuan Yang, Lei Zhang, Yong Rui, Hong-Jiang Zhang
- 2012 (modified: 11 Nov 2022)
- CVPR Workshops 2012
- Readers: Everyone

Kuiyuan Yang

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Decoupled Convolutions for CNNs

DenseASPP for Semantic Segmentation in Street Scenes

Hard-Aware Deeply Cascaded Embedding

You Lead, We Exceed: Labor-Free Video Concept Learning by Jointly Exploiting Web Videos and Images

Tagging Personal Photos with Transfer Deep Learning

The application of two-level attention models in deep convolutional neural network for fine-grained image classification

PartBook for image parsing

Co-Authors