趙靜文 講師🧑🍼，復旦大學理學博士
從事專業：計算機視覺
電話：13127516170 郵箱😫：jingwen_echo@outlook.com
研究方向
計算機視覺、生物醫學影像分析
個人簡介
趙靜文，現為恒达娱乐，恒达平台🫃🏿，講師。2013/09-2018/06就讀於復旦大學❤️🔥，計算機科學技術恒达💅🏻🌙，攻讀計算機應用專業博士學位🙆♂️，2009/09-2013/06就讀於華東理工大學🙅🏼，信息恒达，攻讀計算機科學與技術專業學士學位。
主要成果
一、代表性課題：
1. 上海市自然科學基金，17ZR1402300，用彩色深度相機三維跟蹤人群和識別群體行為的若幹關鍵問題的研究💅🏻，2017.5.1-2020.4.30， 20萬元，在研🧒，參與
2. 國家自然科學基金面上項目😽，61175036👨🏽🔬， 群體三維運動的攝影測量與行為辨識方法的研究，2012.01-2015.12， 60萬元，已結題💁🏿♂️，參與
二、代表性論文：
1.J. Zhao, H. Li, M. Duan, S. H. Wang, and Y. Q. Chen. Rapid identification of neuronal structures in electronic microscope image using novel combined multi-scale image features. NEUROCOMPUTING, 230.22 (2017.3): 152-159.
2. J. Zhao, S. H. Wang, X. Liu, Y. Liu, Y. Q. Chen, Early diagnosis of cirrhosis via automatic location and geometric description of liver capsule. The Visual Computer. December 2018, Volume 34, Issue 12, pp 1677–1689.
3. J. Zhao, G. Zhang, L. Tian, Y. Q. Chen, Real-time human detection with depth camera via a physical radius-depth detector and a CNN descriptor. 2017 IEEE International Conference on Multimedia and Expo (ICME 2017).
4. S. H. Wang, J. Zhao, and Y. Q. Chen, Robust Tracking of Fish Schools using CNN for Head Identification. Multimedia tools and applications, (2016): 1-19.
5. S. H. Wang, J. Zhao, X. Liu, Y. Liu, and Y. Q. Chen, 3D Tracking Swimming Fish School with Learned Kinematic Model using LSTM Network. 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2017).
6. S. H. Wang, X. Liu, J. Zhao, J. L. Song, J. Q. Zhang, and Y. Q. Chen, Learning to Diagnose Cirrhosis via Combined Liver Capsule and Parenchyma Ultrasound Image Features. 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2016).
7. S. H. Wang, X. Liu, J. Zhao, Y. Liu, and Y. Q. Chen, 3D Tracking Swimming Fish School using a Master View Tracking First Strategy. 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2016).
8. X. Liu, J. Song, J. Zhao, Y. Q. Chen, J. Zhang, Extracting and describing liver capsule contour in high-frequency ultrasound image for early hbv cirrhosis diagnosis. 2016 IEEE International Conference on Multimedia and Expo (ICME 2016).
9. X. Liu, J. Song, S. H. Wang, J. Zhao🧘🏻♂️，Y. Q. Chen, Learning to diagnose cirrhosis with liver capsule guided ultrasound image classification. Sensors, 17.1 (2017): 149.
10. X. Liu, Z. Zhan, M. Yan, J. Zhao, Y. Q. Chen, Computer-aided Cirrhosis Diagnosis via Automatic Liver Capsule Extraction and Combined Geometry-texture Features. 2017 IEEE International Conference on Multimedia and Expo (ICME 2017).
11. L. Tian, M. Li, G. Zhang, J. Zhao, Robust Human Detection with Super-pixel Segmentation and Random Ferns Classification Using RGB-D Camera. 2017 IEEE International Conference on Multimedia and Expo (ICME 2017).
