Visual Information Processing and Learning
Visual Information Processing and Learning
Xinhang Song

Postdoc

Research area: Scene recognition and understanding

My research interests include image processing, large-scale image retrieval, image semantic understanding, multimedia content analysis, computer vision, and pattern recognition. I have served as PC or TPC member for well-known conferences, such as IJCAI, AAAI and ACM Multimedia.

Book or Paper

Papers

Xinhang Song, Shuqiang Jiang, Luis Herranz, Chengpeng Chen, "Learning Effective RGB-D Representations for Scene Recognition," IEEE Transactions on Image Processing (TIP), doi:10.1109/TIP.2018.2872629(Accepted)

Xinhang Song, chengpeng chen, Shuqiang Jiang. RGB-D Scene Recognition with Object-to-Object Relation” The 25th ACM Multimedia Conference (ACM MM2017 (long paper), CCF A

Xinhang Song, Shuqiang Jiang, Luis Herranz. Combining Models from Multiple Sources for RGB-D Scene Recognition” The 26th International Joint Conference on Artificial Intelligence (IJCAI) 2017, CCF A

Xinhang Song, Luis Herranz, Shuqiang Jiang. “Depth CNNs for RGB-D scene recognition: learning from scratch better than transferring from RGB-CNNs” Thirty-First AAAI Conference on Artificial Intelligence (AAAI)2017, CCF A

Xinhang Song, Shuqiang Jiang, Luis Herranz. “Joint Multi-feature Spatial Context for Scene Recognition in the Semantic Manifold.” IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2015: 1312-1320, CCF A

Xinhang Song, Shuqiang Jiang, Luis Herranz. “Multi-scale multi-feature context modeling for scene recognition in the semantic manifold.” IEEE Transactions on Image Processing (TIP), 2017, CCF A

Xinhang Song, Shuqiang Jiang, Luis Herranz, Yan Kong, Kai Zheng, “Category co-occurrence modeling for large scale scene recognition”, Pattern Recognition (PR) 59: 98-111 (2016) , CCF B

Xinhang Song, Shuqiang Jiang, Ruihan Xu, Luis Herranz, ” Semantic Features for Food Image Recognition with Geo-Constraints.” The IEEE International Conference on Data Mining series (ICDM), Workshops 2014: 1020-1025

Xinhang Song, Shuqiang Jiang, Shuhui Wang, Liang Li, Qingming Huang. “Polysemious visual representation based on feature aggregation for large scale image applications.” Multimedia Tools and Applications (MTAP), 2015


Xinhang Song, Shuqiang Jiang, Shuhui Wang, Jinhui Tang, Qingming Huang. “Cross Concept Local Fisher Discriminant Analysis for Image Classification.” The International Conference on Multimedia Modeling (MMM) 2013: 407-416 

Xiaodan Zhang, Xinhang Song, Xiong Lv, Shuqiang Jiang, Jianbin Jiao, “Rich Image Description Based on Regions.” ACM Multimedia Conference (ACM MM) 2015, Short paper.

Xiangyang Li, Shuqiang Jiang, Xinhang Song, Luis Herranz, Zhiping Shi. “Multipath Convolutional-Recursive Neural Networks for Object Recognition.” International Conference on Intelligent Information Processing (IIP) 2014: 269-277


Ruihan Xu, Shuqiang Jiang, Xinhang Song, Shuang Wang, Yi Xie, Fang Wang, Xiong Lv. “MIAR ICT Participation at Robot Vision 2013.” ImageCLEF (Working Notes) 2013

Ruihan Xu, Luis Herranz, Shuqiang Jiang, Shuang Wang, Xinhang Song, Ramesh Jain, “Geolocalized Modeling for Dish Recognition”, IEEE Transactions on Multimedia (TMM) 2015.

Shuqiang Jiang, Xinhang Song, Qingming Huang. “Relative image similarity learning with contextual information for Internet cross-media retrieval.” Multimedia Systems (MMSJ). 20(6): 645-657 (2014)

Visual Information Processing and Learning
  • Address :No.6 Kexueyuan South Road
  • Zhongguancun,Haidian District
  • Beijing,China
  • Postcode :100190
  • Tel : (8610)62600514
  • Email:yi.cheng@vipl.ict.ac.cn
  • Valse

  • Big Lecture of DL

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