Yi Yang (杨亿)

Research Scientist
Baidu Research
1195 Bordeaux Drive, Sunnyvale, CA
Email: yangyi05@baidu.com

About Me

I am a big fan of Artificial Intelligence. I believe that one day robots will help the human in all our daily lives.

I am currently a research scientist at Institute of Deep Learning, Baidu Research, working with Baidu Distinguished Scientist Wei Xu on Robot Learning. Previously, I worked with Jiang Wang, Chang Huang, Kai Yu, et. al. on Deep Learning, Computer Vision and Natural Language Understanding.

I obtained my Ph.D. degree in Computer Science at UC Irvine in 2013. I was a member of the Computational Vision Group where I was advised by Prof. Deva Ramanan and Prof. Charless Fowlkes. My research focuses on High Level Structured Image Understanding, particularly Object Detection, Semantic Image Segmentation and Articulated Human Pose Estimation.

I had summer internships at Google and Microsoft Research. At Google, I worked with Emilio Antunez and Tianli Yu on Visual Clothing Search. At Microsoft Research, I worked with Simon Baker and Anitha Kannan on Proxemics Recognition.

I completed a master degree in Industrial Engineering at Hong Kong University of Science and Technology with Prof. L. Jeff Hong, and a bachelor degree in Automation at Tsinghua University.

Publications

Dynamic Computational Time for Visual Attention
Zhichao Li, Yi Yang, Xiao Liu, Shilei Wen, Wei Xu
Arxiv 2017

Fully Convolutional Attention Networks for Fine-Grained Recognition
Xiao Liu, Tian Xia, Jiang Wang, Yi Yang, Feng Zhou, Yuanqing Lin
Arxiv 2016

Attention to Scale: Scale-aware Semantic Image Segmentation
Liang-Chieh Chen, Yi Yang, Jiang Wang, Wei Xu, and Alan L. Yuille
CVPR 2016

CNN-RNN: A Unified Framework for Multi-label Image Classification
Jiang Wang, Yi Yang, Junhua Mao, Zhiheng Huang, Chang Huang, Wei Xu
CVPR 2016

Video Paragraph Captioning Using Hierarchical Recurrent Neural Networks
Haonan Yu, Jiang Wang, Zhiheng Huang, Yi Yang, Wei Xu
CVPR 2016

DenseBox: Unifying Landmark Localization with End to End Object Detection
Lichao Huang, Yi Yang, Yafeng Deng, Yinan Yu
Arxiv 2015

Learning like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images
Junhua Mao, Wei Xu, Yi Yang, Jiang Wang, Zhiheng Huang, Alan Yuille
ICCV 2015

Look and Think Twice: Capturing Top-Down Visual Attention with Feedback Convolutional Neural Networks
Chunshui Cao, Xianming Liu, Yi Yang, et al.
ICCV 2015

Depth-based Hand Pose Estimation: Data, Methods, and Challenges
James Supancic, Gregory Rogez, Yi Yang, Jamie Shotton, Deva Ramanan
ICCV 2015

Learning from Massive Noisy Labeled Data for Image Classification
Tong Xiao, Tian Xia, Yi Yang, Chang Huang, Xiaogang Wang
CVPR 2015

Deep Captioning with Multimodal Recurrent Neural Networks
Junhua Mao, Wei Xu, Yi Yang, Jiang Wang, Alan Yuille
ICLR 2015

AutoCaption: Automatic Caption Generation for Personal Photos
Krishnan Ramnath, Simon Baker, et al.
WACV 2014

Parsing Occluded People
Golnaz Ghiasi, Yi Yang, Deva Ramanan, Charless Fowlkes
CVPR 2014

Articulated Human Detection with Flexible Mixtures of Parts
Yi Yang, Deva Ramanan
PAMI 2013

Recognizing Proxemics in Personal Photos
Yi Yang, Simon Baker, Anitha Kannan, Deva Ramanan
CVPR 2012

Layered Object Models for Image Segmentation
Yi Yang, Sam Hallman, Deva Ramanan, Charless Fowlkes
PAMI 2012

Articulated Pose Estimation with Flexible Mixtures of Parts
Yi Yang, Deva Ramanan
CVPR 2011

Sequential Convex Approximations to Joint Chance Constrained Programs
L. Jeff Hong, Yi Yang, Liwei Zhang
OR 2011

Layered Object Detection for Multi-Class Segmentation
Yi Yang, Sam Hallman, Deva Ramanan, Charless Fowlkes
CVPR 2010

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