基本信息

 

杨勐 博士

副教授、硕士生导师

=======================

西安交通大学

电子与信息工程学院

人工智能与机器人研究所

联系方式

地点:逸夫科学馆203室(兴庆校区)

邮箱:mengyang at xjtu.edu.cn

地址:陕西省西安市咸宁西路28号

获奖荣誉

2015  “信源通”高水平论文奖

2013  博士研究生国家奖学金

站点计数器
研究方向

研究领域:计算机视觉、图像/视频处理、深度学习应用、机器人等。

目前的研究内容:1)基于Color+depth (或RGB+D)的三维视觉信息处理、三维成像;2)微光(Low-light-level)图像去噪、增强、三维成像等;3)图像/视频信号处理,如compression、denoising、enhancement、retargeting等。

教育、工作经历

教育背景

2008.09~2014.07西安交通大学、自动化系工学博士(导师:郑南宁教授,IEEE Fellow,中国工程院院士)
2004.09~2008.07西安交通大学、信息工程系工学学士

 

工作经历

2018.04~今西安交通大学、自动化系副教授、硕士生导师
2018.06~今西安交通大学、自动化系博士后(合作导师:辛景民教授)
2014.08~2018.03西安交通大学、自动化系讲师、硕士生导师
2014.08~2018.04西安交通大学、计算机系博士后(合作导师:赵季中教授)
2011.10~2012.10

加州大学圣地亚哥分校、ECE

联合培养博士生

 

期刊论文

(*标注通信作者

[12] M. Yang, C. Zhu, X. Lan, and N. Zheng*, "Efficient Estimation of View Synthesis Distortion for Depth Coding Optimizaton," IEEE Trans. Multimedia, Aug. 2018. [link]

[11] M. Yang*, and N. Zheng, "SynBF: A New Bilateral Filter for Post-removal of Noise from Synthesis Views in 3D Video," IEEE Trans. Multimedia, Jun. 2018. [link]

[10] M. Yang, F. Wang*, Y. Wang, and N. Zheng, "A Denoising Method for Randomly Clustered Noise in ICCD Images Based on Hypergraph Cut and Down Sampling," Sensors, Dec. 2017.  [link]

[9] M. Yang, N. Zheng*, C. Zhu, and F. Wang, "A Novel Method of Minimizing View Synthesis Distortion Based on Its Non-monotonicity in 3D Video," IEEE Trans. Image Process., Nov. 2017.  [link]

[8] X. Li, X. Lan, M. Yang, J. Xue, and N. Zheng, "A New Compressive Sensing Video Coding Framework Based on Gaussian Mixture Model," Signal Process.-Image Comm., Mar. 2017.

[7] F. Wang, Y. Wang, M. Yang*, and N. Zheng, "A Denoising Scheme for Randomly Clustered Noise Removal in ICCD Sensing Images," Sensors, Jan. 2017. [link]

[6] J. Li, X. Lan, J. Wang, M. Yang, and N. Zheng, “Fast additive Quantization for Vector Compression in Nearest Neighbor Search,” Multimedia tools and Applications, Oct. 2016.

[5] X. Li, X. Lan*, M. Yang*, J. Xue, and N. Zheng, “Efficient Lossy Compression for Compressive Sensing Acquisition of Images in Compressive Sensing Imaging Systems,” Sensors, Dec. 2014. [link]

[4] M. Yang, T. Groves, N. Zheng*, and P. Cosman, “Iterative Pricing-Based Rate Allocation for Video Streams with Fluctuating Bandwidth Availability,” IEEE Trans. Multimedia, Nov. 2014. [link]

[3] M. Yang, X. Lan, N. Zheng, and P. Cosman, “Depth-Assisted Temporal Error Concealment for Intra Frame Slices in 3D Video,” IEEE Trans. Broadcast., June 2014. [link]

[2] M. Yang, X. Lan*, and N. Zheng, “Adaptive Multiple Description Coding for Hybrid Networks with Dynamic PLR and BER,” Signal Process.- Image Comm., Oct. 2013.

[1] X. Lan, M. Yang, Y. Yuan, S. Zhao, and N. Zheng, “Adaptively Post-Encoding Multiple Description Video Coding,” Neurocomput., Feb. 2013. 

会议论文(部分)

[11] M. Yang, N. Zheng, F. Wang, and C. Zhu, "A New Bilateral Filter for Post-removing the Noise of Synthesis View in 3D Video," APSIPA ASC, Kuala Lumpur, Dec. 2017.

[10] Y. Wang, M. Yang*, F. Wang, X. Zhang, "A Hypergraph-cut Based Denoising Algorithm for Randomly Clustered Noise Removal in ICCD Images," CAC, Jinan, Oct. 2017.

[9] K. Wang, X. Lan, X. Li, M. Yang, and N. Zheng, "Compressive Sensing Depth Video Coding via Gaussian Mixture Models and Object Edges," PCM, Harbin, Sep. 2017.

[8] X. Li, X. Lan, M. Yang, J. Xue, and N. Zheng, "Efficient Compressive Sensing Video Compression Method Based on Gaussian Mixture Models," IEEE VCIP, Chengdu, Nov. 2016.

[7] J. Chen, X. Lan, and M. Yang, "Efficient Detail-enhanced Exposure Correction Based on Auto-fusion for LDR Image," IEEE MMSP, Montreal, Sep. 2016.

[6] Q. Xue, X. Lan, and M. Yang, "Depth Map Coding by Modeling the Locality and Local Correlation of View Synthesis Distortion in 3D Video," IEEE MMM, Miami, Jan. 2016.

[5] X. Li, X. Lan, M. Yang, J. Xue, and N. Zheng, "Optimized Truncation Model for Adaptive Compressive Sensing Acquision of Images," IEEE VCIP, Singapore, Dec. 2015.

[4] M. Yang, C. Zhu, X. Lan, and N. Zheng, "Parameter-free View Synthesis Distortion Model with Application to Depth Video Coding," IEEE ISCAS, Lisbon, May 2015.

[3] X. Li, X. Lan, M. Yang, J. Xue, and N. Zheng, "Universal and Low-complexity Quantizer Design for Compressive Sensing Image Coding," IEEE VCIP, Kuching, May 2013.

[2] M. Yang, Y. Yang, P. Cosman, "Depth-Assisted Error Concealment for Intra Frame Slices in 3D Video," IEEE ICIP, Orland, May 2012.

[1] M. Yang, X. Lan, N. Zheng, "Explicit Network-adaptive Robust Multiple Description Coding," IEEE DCC, Snowbird, Mar. 2011.

专利

[1] 杨勐,光宇杰,成钰,郑南宁,“一种基于彩色图引导的深度图恢复及视点合成优化方法”,申请号201810600927.7 ,2018年6月。

科研项目

 

序号 名称来源时间角色类别备注
4智能护理机器人关键技术与示范应用国家重点研发计划2017.12~2020.11子课题负责人纵向 
3自由视点三维视频中纹理-深度图像联合建模及应用国家自然基金青年项目2016.01~2018.12负责人纵向
2自由视点三维视频中虚拟视频质量解析建模及应用中国博士后基金(一等)2016.01~2017.12负责人纵向结题
1 ****超分辨率图像复原软件技术开发空军工程大学 2016.01~2016.12 负责人 横向  结题

 

学术、社会活动

论文审稿

IEEE Transactions on Image Processing

IEEE Transactions on Multimedia

IEEE Transactions on Broadcasting

IEEE Signal Processing Letters

Journal of Visual Communication and Image Representation

International Journal of Communication Systems

 

学术比赛

序号时间比赛名称主办单位名次完成人备注
12015.11

2015年中国模糊图像处理竞赛”交通场景图像增强挑战赛

基金委信息学部、自动化学会

第一名兰旭光、杨勐、陈嘉怡、王康 
22015.11

2015年中国模糊图像处理竞赛”交通标志图像识别挑战赛

基金委信息学部、自动化学会

第四名王飞、杨勐、王译彬 
32015.11

2015年中国模糊图像处理竞赛”双目立体视觉环境感知挑战赛

基金委信息学部、自动化学会

第一名王飞、杨勐、何一聪 

 相关新闻:http://www.iair.xjtu.edu.cn/info/1016/1015.htm

 

公共服务

2016.01~2018.01       人工智能与机器人研究所      学生俱乐部主席