苏   丰   |   Feng   Su

博士, 副教授  |  Dr., Associate Professor

联系方式 | Contact

• 地址 | Address：江苏省南京市栖霞区仙林大道163号，bw必威西汉姆联官网计算机科学与技术系
  Department of Computer Science and Technology,
  Nanjing University,
  163 Xianlin Road, Qixia District, Nanjing, Jiangsu Province, China
  
• 邮编 | Postcode：210023
• E-Mail：suf (at) nju (dot) edu (dot) cn

简历 | CV

1997年获得bw必威西汉姆联官网计算机科学与技术专业学士学位，2002年获得bw必威西汉姆联官网计算机应用技术专业工学博士学位。 分别于2000年和2002年在香港理工大学、微软亚洲研究院进行短期访问研究，2006年于法国从事图像处理博士后访问研究。 近年来在IEEE TPAMI、计算机学报、计算机研究与发展等国内外学术刊物和CVPR、ACM MM、ICMR、ICME、ICASSP、ICPR、ICDAR、ACCV、BMVC、MMM等国际学术会议上发表论文30余篇。

课程教学 | Teaching

• 计算机系统基础（Introduction to Computer Systems）
• 计算机网络（Computer Network）
• ……

[校外访问]   [校内网]

研究方向 | Research

多媒体计算 / Multimedia Computing：

• 媒体内容标注与检索
  
• 音频/音乐/视频数据分割、分析、分类与处理
  
• 多模态数据建模与处理：融合视频、音频、文本等多种模态数据或信息的多媒体内容建模、分析与应用
  

计算机视觉与模式识别 | Computer Vision & Pattern Recognition：

• 自然场景文本检测与识别
  
• 文档图像处理与图形识别
  
  

论文 | Publications

• Lan Wang, Jiahao Shi, Yang Wang, Feng Su. Video Text Detection by Attentive Spatiotemporal Fusion of Deep Convolutional Features. 27th ACM International Conference on Multimedia (MM’19), pp. 66-74, Nice, France, October 21–25, 2019.
• Qianqian Wang, Feng Su, Yuyang Wang. A Hierarchical Attentive Deep Neural Network Model for Semantic Music Annotation Integrating Multiple Music Representations. 2019 International Conference on Multimedia Retrieval (ICMR 2019), pp. 150-158, Ottawa, Canada, June 10–13, 2019.
• Yuyang Wang, Feng Su, Ye Qian. Text-Attentional Conditional Generative Adversarial Network for Super-Resolution of Text Images. 2019 IEEE International Conference on Multimedia and Expo (ICME 2019), pp. 1024-1029, Shanghai, China, July 8-12, 2019.
• Lan Wang, Yang Wang, Susu Shan, Feng Su. Scene Text Detection and Tracking in Video with Background Cues. 2018 ACM on International Conference on Multimedia Retrieval (ICMR 2018), pp. 160-168, Yokohama, Japan, June 11-14, 2018.
• Qianqian Wang, Yu Xiong, Feng Su. Semantic Music Annotation by Label-Specific Conditional Random Fields. ICPR 2018, pp. 2941-2946, Beijing, China, August 20-24, 2018.
• Feng Su, Wenjun Ding, Lan Wang, Susu Shan, Hailiang Xu. Text Proposals Based on Windowed Maximally Stable Extremal Region for Scene Text Detection. ICDAR 2017, pp. 377-382, Kyoto, Japan, 9-15 November 2017.
• Wenjun Ding, Susu Shan, Feng Su. Text Detection in Natural Scene Images by Hierarchical Localization and Growing of Textual Components. ICME 2017, pp. 775-780, Hong Kong, China, 10-14 July, 2017.
• Yu Xiong, Feng Su, Qianqian Wang. Automatic Music Mood Classification by Learning Cross-Media Relevance Between Audio and Lyrics. ICME 2017, pp. 961-966, Hong Kong, China, 10-14 July 2017.
• Feng Su, Hao Xue. Graph-Based Multimodal Music Mood Classification in Discriminative Latent Space. MMM 2017, pp. 152-163, Reykjavik, Iceland, 4-6 January 2017.
• Susu Shan, Hailiang Xu, Feng Su. A New Method for Spatiotemporal Textual Saliency Detection in Video. ICPR 2016, pp. 3240-3245, Cancun, Mexico, Dec. 4-8, 2016.
• Feng Su and Like Xue. Graph Learning on K Nearest Neighbours for Automatic Image Annotation. ICMR 2015, pp. 403-410, Jun. 23-26, 2015.
• Hailiang Xu, Feng Su. Robust Seed Localization and Growing with Deep Convolutional Features for Scene Text Detection. ICMR 2015, pp. 387-394, Jun. 23-26, 2015.
• Hailiang Xu, Feng Su. A Robust Hierarchical Detection Method for Scene Text Based on Convolutional Neural Networks. ICME 2015, pp. 1-6, Jun.29-Jul.3, 2015.
• Feng Su and Hailiang Xu. Robust seed-based stroke width transform for text detection in natural images. ICDAR 2015, pp. 916-920, Aug. 23-26, 2015.
• Hao Xue, Like Xue, Feng Su. Multimodal Music Mood Classification by Fusion of Audio and Lyrics. MMM 2015, pp. 26–37，Jan. 5-7, 2015.
• Like Xue, Feng Su. Auditory Scene Classification with Deep Belief Network. MMM 2015, pp. 348–359，Jan.5-7, 2015.
• Feng Su. Auditory Scene Analysis and Recognition with LDA Topic Model. ICME 2014, 1-6, August 25-28, 2014.
• Hailiang Xu, Like Xue, Feng Su. Scene Text Detection Based on Robust Stroke Width Transform and Deep Belief Network. ACCV 2014, Singapore, Oct.29-Nov.5, 2014.
• Feng Su, Tong Lu. Discriminative Weighting and Subspace Learning for Ensemble Symbol Recognition. ICDAR 2013, 1088-1092, Washington DC, USA, August, 2013.
• Feng Su, Li Yang, Tong Lu. Ensemble Symbol Recognition with Hough Forest. ICPR 2012, pp.1659-1662, Tsukuba, Japan, Nov. 11-15, 2012.
• Li Yang, Feng Su. Auditory Context Classification Using Random Forests. 37th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2012), pp.2349-2352, Kyoto, Japan, Mar. 25-30, 2012.
• Feng Su, Li Yang, Tong Lu, Gongyou Wang. Environmental Sound Classification for Scene Recognition Using Local Discriminant Bases and HMM. ACM Multimedia 2011, pages 1389-1392, Scottsdale, USA, 2011.
• Feng Su, Tong Lu, and Ruoyu Yang. Symbol Recognition By Multiresolution Shape Context Matching. 11th International Conference on Document Analysis and Recognition (ICDAR 2011), pages 1319-1323, Beijing, China, Sep. 18-21, 2011.
• Feng Su, Tong Lu, Ruoyu Yang. Symbol Recognition Combining Vectorial and Pixel-Level Features for Line Drawings. In Proc. 20th International Conference on Pattern Recognition (ICPR 2010), pages 1892-1895, Turkey, 2010.
• Feng Su, Tong Lu, Ruoyu Yang. A New Shape Descriptor for Object Recognition and Retrieval. Lecture Notes in Computer Science, Volume 6297, Advances in Multimedia Information Processing - PCM 2010, pages 493-502, 2010.
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