Internship

Look for excellent interns

Awards

DeepInsight & DeeperVision got 3rd(mAP=40.4%) and 5th(p@5=90.5%) in ILSVRC2014 detection and classification task. Our single model on detection got 40.15% (mAP), while the second best (GoogLeNet) is 38%. all results.

PASCAL VOC 2011 Detection Challenge Winner, 1st, 40.9% mAP (We got 36.8% last year, 4.1% improvement)

PASCAL VOC 2011 Classification Challenge Honourable Mention, 2nd, 78.2% mAP (We got 71.2% last year, 7% improvement)

PASCAL VOC 2010 Detection Challenge Winner, 1st, 36.8% mAP

Educations

• 2007~2012: NLPR, CASIA, Beijing, China, PhD, Pattern Recognition
• 2003~2007: Beijing University of Posts and Telecommunications (BUPT), Beijing, China, BS, Telecommunication Engineering

Applications & Products

1. Deep Neural Network (DNN) for Content Based Image Retrieval (CBIR)
2. Object Localization vis Deep Learning
3. Object Detection via Deformabel Part Based Model (A C/C++ code will be released)
4. Facial Landmark Localization (coming soon)
5. Parallelized Distributed Large Scale Classification (coming soon)

Research interests

1. Multiple Transform Estimation
2. Object Detection
3. Image Matching
4. Interest point detection
5. Image Classification and Object Recognition A software is released for test

Publications

• Lichao Huang, Yi Yang, Yafeng Deng, Yinan Yu
  DenseBox: Unifying Landmark Localization with End to End Object Detection
  arXiv:1509.04874, 2015, pdf. Rank 1st(slow, DenseBox) and 5th(fast, DenseBox Lite) Vehicle Detection algorithm on KITTI dataset: link. Here is our demo.
• Zhuoyuan Chen, Xun Sun, Yinan Yu, Wang Liang, Chang Huang, Haoyuan Gao, Kai Yu.
  A Deep Visual Correspondence Embedding Model for Stereo Matching Costs,
  IEEE International Conference on Computer Vision (ICCV), 2015. Here is our demo
• Chunshui Cao, Xianming Liu, Jiang Wang, Yinan Yu, Wei Xu, Yi Yang, etc.
  Look and Think Twice: Capturing Top-Down Visual Attention with Feedback Convolutional Neural Networks,
  IEEE International Conference on Computer Vision (ICCV), 2015
• Junjie Yan, Yinan Yu, Xiangyu Zhu, Zhen Lei, Stan Z. Li.
  Object Detection by Labeling Superpixels.
  IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2015. pdf
• Jiajun Wu, Yinan Yu, Chang Huang, Kai Yu.
  Deep Multiple Instance Learning for Image Classification and Auto-Annotation.
  IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2015. pdf
• Zifeng Wu, Yongzhen Huang, Yinan Yu, Liang Wang, Tieniu Tan.
  Early Hierarchical Contexts Learned by Convolutional Networks for Image Segmentation.
  The 22nd International Conference on Pattern Recognition (ICPR), 2014 pdf, dataset
• Weiqiang Ren, Yinan Yu, Junge Zhang, Kaiqi Huang,
  "FLearning Convolutional NonLinear Features for KNearest Neighbor Image Classification",
  19th IEEE International Conference on Image Processing (ICIP), 2014 pdf
• Weiqiang Ren, Yinan Yu, Junge Zhang, Kaiqi Huang.
  Exploring the Power of Kernel in Feature Representation for Object Categorization.
  The 20th International Conference on Neural Information Processing (ICONIP), 2013.
• Xin Zhao, Yinan Yu, Yongzhen Huang, Kaiqi Huang, Tieniu Tan,
  "Feature coding via vector difference for image classification",
  19th IEEE International Conference on Image Processing (ICIP), 2012 pdf
• Yinan Yu, Weiqiang Ren, Kaiqi Huang, Tieniu Tan,
  "CLUMOC: Multiple Motion Estimation by Cluster Motion Consensus",
  Ninth IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS), 2012 pdf
• Yinan Yu, Kaiqi Huang, Wei Chen, Tieniu Tan,
  "A Novel Algorithm for View and Illumination Invariant Image Matching",
  IEEE Trans. on Image Processing (TIP), 2011 pdf
• Junge Zhang, Yinan Yu, Yongzhen Huang, Chong Wang, Weiqiang Ren, Jinchen Wu, Kaiqi Huang, Tieniu Tan,
  "Object Detection based on Data Decomposition, Spatial Mixture Modeling and Context",
  ICCV workshop on PASCAL VOC, 2011 pdf
• Yongzhen Huang, Kaiqi Huang, Yinan Yu, Tieniu Tan,
  "Salient Coding for Image Classification",
  Computer Vision and Pattern Recognition (CVPR), 2011 pdf
• Junge Zhang, Kaiqi Huang, Yinan Yu, Tieniu Tan,
  "Boosted Local Structured HOG-LBP for Object Localization",
  Computer Vision and Pattern Recognition (CVPR), 2011 pdf
• Junge Zhang, Yinan Yu, Shuai Zheng, Kaiqi Huang,
  "An empirical study of visual features for part based model",
  First Asian Conference on Pattern Recognition (ACPR), 2011 pdf
• Yinan Yu, Junge Zhang, Yongzhen Huang, Shuai Zheng, Weiqiang Ren, Chong Wang, Kaiqi Huang, Tieniu Tan,
  "Object Detection by Context and Boosted HOG-LBP",
  ECCV workshop on PASCAL VOC, 2010 pdf
• Yinan Yu, Kaiqi Huang, Tieniu Tan,
  "A Harris-Like Scale Invariant Feature Detector",
  The ninth Asian Conference on Computer Vision (ACCV), 2009 pdf