Curriculum Viate

Name: Bin Feng


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


Selected Publications

[1]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

[2]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 

[3]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.

[4]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. 

[5]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

[6]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.

[7]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.

[8]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. 

[9]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.

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

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



[1] Multimedia Technology, for undergraduate students

[2] Circuit Experiments, for undergraduate students

[3] Data Mining Technology, for graduate students. 



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