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Mountain View, CA. Listen to my heart, jump into the world. A Voting Strategy for Sneeze/Cough Detection in Videos. A Sneeze-Cough Video Database for Vision-Based Flu Surveillance. Li Cheng, Li Wang, Tuan Hue Thi, Sebastian Maurer-Stroh and Jian Zhang. Cell Segmentation in Microscopic Images. Li Cheng, Ning Ye. Weimiao Yu and Andre Cheah. We proposed a spoke-like shape feature for detecting and segmenting cells in microscopic images. By using a combination of this spoke feature, a color feature and a...

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Mountain View, CA. Listen to my heart, jump into the world. A Voting Strategy for Sneeze/Cough Detection in Videos. A Sneeze-Cough Video Database for Vision-Based Flu Surveillance. Li Cheng, Li Wang, Tuan Hue Thi, Sebastian Maurer-Stroh and Jian Zhang. Cell Segmentation in Microscopic Images. Li Cheng, Ning Ye. Weimiao Yu and Andre Cheah. We proposed a spoke-like shape feature for detecting and segmenting cells in microscopic images. By using a combination of this spoke feature, a color feature and a...

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1 ye ning

2 software engineer

3 google inc

4 previously at bii

5 ning ye

6 and li cheng

7 bibtex

8 previously at nus

9 poster 16mb

10 dynamic facial signature

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ye ning,software engineer,google inc,previously at bii,ning ye,and li cheng,bibtex,previously at nus,poster 16mb,dynamic facial signature,poster 7mb,and more,interactive portrait art,and terence sim,mona lisa,poster,tutoring at nus,cs2106 operating system

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yening.net | yening.net Reviews

https://yening.net

Mountain View, CA. Listen to my heart, jump into the world. A Voting Strategy for Sneeze/Cough Detection in Videos. A Sneeze-Cough Video Database for Vision-Based Flu Surveillance. Li Cheng, Li Wang, Tuan Hue Thi, Sebastian Maurer-Stroh and Jian Zhang. Cell Segmentation in Microscopic Images. Li Cheng, Ning Ye. Weimiao Yu and Andre Cheah. We proposed a spoke-like shape feature for detecting and segmenting cells in microscopic images. By using a combination of this spoke feature, a color feature and a...

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yening.net

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BII Sneeze-Cough Human Action Video Database

http://www.yening.net/biisc/index.html

BII Sneeze-Cough Human Action Video Database. Number of subjects: 20, M/F:12/8. Number of action types: 8, answer phone call, cough, drink water, scratch head, sneeze, stretch arms, wave hand, wipe glasses. Number of poses: 3, frontal, left, right. Number of locomotion types: 2, standing, walking. An extra horizontally flipped version has been synthesized for each of the videos. Number of videos in total: 20 × 8 × 3 × 2 × 2 = 1920. Frame dimension: 480 × 290 pixels. Length: around 4 seconds on average.

2

Video Stylization by Single Image Example

http://www.yening.net/cellseg/index.html

Cell Segmentation in Microscopic Images. We proposed a spoke-like shape feature for detecting and segmenting cells in microscopic images. By using a combination of this spoke feature, a color feature and a context feature, we are able to segment common microscopic images of stained cells as well as cell images from electron microscopes. Li Cheng, Ning Ye. Weimiao Yu and Andre Cheah. A Bag-of-Words Model for Cellular Image Segmentation. Chapter in. Pp 209-222, Springer, 2012. paper. Li Cheng, Ning Ye.

3

Video Stylization by Single Image Example

http://www.yening.net/vs/index.html

Video Stylization by Single Image Example. Terence Sim and Xiaoping Miao. Video Stylization by Single Image Example. In. Hong Kong, September 2010. paper (13MB).

4

Dynamic Facial Signature

http://www.yening.net/dfs/index.html

The term, dynamic facial signature, has been used in psychology to refer to the characteristic facial motions of individuals. It was proposed to explain the phenomenon that facial motions can help humans recognize familiar faces, for example, the faces of our families, friends or celebrities. If humans can make use of facial motion to recognize people, can the machines be trained to do the same? This project is proposed to answer this question. Local Facial Skin Deformation Patterns. Your browser does no...

5

A Voting Strategy for Sneeze/Cough Detection in Videos

http://www.yening.net/trackdet/index.html

A Voting Strategy for Sneeze/Cough Detection in Videos. Training: 10 persons, 80 positives, 199 negatives. Testing: 10 persons, 79 positives, 199 negatives. Positive class of actions: sneeze, cough. Negative class of actions: answering phone call, drinking, scratching face, waving hand, clapping hands. Poses: standing frontal view, standing left-side view, standing right-side view, walking frontal view. Your browser does not support the video tag. Please use IE9 , Firefox, Opera, Chrome, or Safari.

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Mountain View, CA. Listen to my heart, jump into the world. A Voting Strategy for Sneeze/Cough Detection in Videos. A Sneeze-Cough Video Database for Vision-Based Flu Surveillance. Li Cheng, Li Wang, Tuan Hue Thi, Sebastian Maurer-Stroh and Jian Zhang. Cell Segmentation in Microscopic Images. Li Cheng, Ning Ye. Weimiao Yu and Andre Cheah. We proposed a spoke-like shape feature for detecting and segmenting cells in microscopic images. By using a combination of this spoke feature, a color feature and a...

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