Curriculum Viate

Name: Bin Feng

Email: frobby@163.com; fengbin@mail.hust.edu.cn 

Tel: +86-27-87543236

 

Education and Working Experience

Sep. 1997 – May. 2006,

BS, MS and PHD in Dept. of electronics & information engineering, HUST

Feb. 2009 – Jan. 2010,

Visitor researcher in Dept. of electronics & Computer Science (ECS), Hong Kong Univ. of Sci. & Tech. (HKUST)

Jun. 2006 – Present,

Associate professor of Dept. of electronics & information engineering, HUST

 

Research Interest

Multimedia content analysis, Dynamic hand gesture (action) recognition.

Selected Publications

[1]Bin Feng, Fangzi He,Xinggang Wang,Yongjiang Wu,Hao Wang,Sihua Yi,Wenyu Liu,Depth-Projection-Map-Based Bag of Contour Fragments for Robust Hand Gesture Recognition,IEEE Transactions on Human-Machine Systems,2017.01.01,99:1~13.

[2]Xinggang Wang,Bin Feng*, Xiang Bai,Wenyu Liu,Longin Jan Latecki,Bag of contour fragments for robust shape classification,Pattern Recognition,2014.6.01,47 (6):2116~2125.

[3]Yi, Sihua,Jiang, Nan,Feng, Bin,Wang, Xinggang,Liu, Wenyu,Online similarity learning for visual tracking,Information Sciences,2016.01.01,364-365:33~50.

[4]Deng, Huiping ,Yu, Li,Zhang, Juntao,Feng, Bin,Liu, Qiong,Edge-preserving down/upsampling for depth map compression in high-efficiency video coding,Optical Engineering,2013.7.01,52 (7).

[5]Deng, Hui-Ping,Yu, Li,Feng, Bin,Liu, Qiong,Structural Similarity-Based Synthesized View Distortion Estimation for Depth Map Coding,IEEE Transactions on Consumer Electronics,2012.11.01,58 (4):1338~1344.

[6]Feng, Bin, Luo, Huifen, Wu, Yongjiang, Wang, Xinggang, Liu, Wenyu,Robust Hand Gesture Recognition based on Enhanced Depth Projection Maps (eDPM),WCSP2016,Yangzhou,2016.10.13-2016.10.15.

[7]He, F.Z.,Lai, Z.Y.,Feng, B.*,Liu, W.Y.,New enhancements to part-based hand gesture recognition system with a Kinect camera,CICET2014,Hong Kong,2014.3.27-2014.3.28.

[8]Tang, Peng,Feng, Bin,Wang, Xinggang,Li, Bi,Yi, Sihua,Liu,Wenyu,Fisher Vector with Weakly-Supervised Gaussian Dictionary for Scene Classification,2015 International Conference on wireless communication and signal processing(WCSP 2015),Nanjing,2015.10.15-2015.10.17.

[9]Feng, Jia,Tang, Peng,Feng, Bin,Liu, Wenyu,Latent information mining for semi-supervised sentiment classification in catering reviews,WCSP2016,Yangzhou,2016.10.13-2016.10.15.

[10]冯镔,朱光喜,刘文予基于H.264/AVC的时空域差错隐藏方案通信学报, 2007, 28(4), 72-79

[11]冯镔,肖非,朱光喜,袁姣一种基于H.264/AVC的压缩域运动对象分割方法中国图象图形学报, 2009, 14(7), 1327-1333 

[12]Zhijun Yao, Bin Feng, Junwei Wang, Wenyu Liu. Building a Robust Appearance Model for Object Tracking.

International Conference on Artificial Intelligence and Computational Intelligence, 2009 , vol. 3, pp. 471-475.

[13]Li Yu, Huiping Deng, Bin Feng, Sen Xiang, JinboQiu. Artifacts Removal in Depth-Image-Based Rendering for 3D Video.

International Conference on Signal Acquisition and Processing (ICSAP 2011), Singapore, 2011, vol. 1, pp. 131-134. 

[14]Wenfei Jiang, Wenyu Liu, Longin Jan Latecki, Hui Liang, Changqing Wang, Bin Feng. Two-Step Coding For High Definition Video Compression.

IEEE Data Compression Conference (DCC)2010/3

[15]赵凌、冯镔、邱锦波. 基于自适应分块外观模型的视觉跟踪. 通信学报,2011,32(10),166-173.

[16]Deng H P, Yu L, Feng B, et al. Structural similarity-based synthesized view distortion estimation for depth map coding[J].

 IEEE Transactions on Consumer Electronics, 2012, 58(4): 1338-1344.

[17]刘俊涛,刘文予,吴彩华,李雄伟,冯镔基于视觉注意原理局部特征的行人检测中国图象图形学报, 03, pp 370-379, 2012. 

[18]Huiping Deng, Li Yu, Juntao Zhang, Bin Feng, Qiong Liu. Edge-preserving down/up sampling for depth map compression in high efficiency video coding. 

Optical Engineering, 2013, 52(7): 071509-071509.

[19]Wenyu Liu, Caihua Wu, Bin Feng, Juntao Liu. Conditional preference in recommender systems. Expert Systems with Applications, 2014

[20]Wang X, Feng B, Bai X, et al. Bag of contour fragments for robust shape classification[J]. Pattern Recognition, 2014, 47(6): 2116-2125.

 

Course

[1] Multimedia Technology, for undergraduate students

[2] Circuit Experiments, for undergraduate students

[3] Data Mining Technology, for graduate students. 

 

 

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