宋新航

中国科学院计算技术研究所

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  • 宋新航
  • 副研究员
简历:
2019年9月 — 今:中国科学院计算所,副研究员2017年6月 — 2019年8月:中国科学院计算所,博士后2011年7月 — 2017年7月:中国科学院大学,博士2007年9月 — 2011年7月:北京交通大学,计算机与信息技术学院,学士个人主页:http://vipl.ict.ac.cn/people/~xhsong
研究方向:
场景识别与理解
社会任职:
获奖及荣誉:
2017中国科学院院长特别奖(科学院共40项)2019中国图像图想学学会优秀博士学位论文(10项)
代表论著:
期刊文章:[1] Xinhang Song, Shuqiang Jiang, Luis Herranz, Chengpeng Chen, 'Learning Effective RGB-D Representations for Scene Recognition,' IEEE Transactions on Image Processing (TIP), 28(2): 980-993 (2019), CCF A, IF:6.79[2] Xinhang Song, Shuqiang Jiang, Bohan Wang, Chengpeng Chen, Gongwei Chen. “Image Representations with Spatial Object-to-Object Relations for RGB-D Scene Recognition.” IEEE Transactions on Image Processing (TIP), 29: 525-537 (2020), CCF A, IF:6.79[3] 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, IF:6.79[4] 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, IF: 5.898会议文章:[1] Xinhang Song, Sixian Zhang, Yuyun Hua and Shuqiang Jiang. “Aberrance-aware gradient-sensitive attentions for scene recognition with RGB-D videos.” (ACM Multimedia 2019), 21-25 October 2019, Nice, France , CCF A[2] Xinhang Song, Bohan Wang, Gongwei Chen and Shuqiang Jiang. “MUCH: MUtual Coupling enHancement of scene recognition and dense captioning.” (ACM Multimedia 2019), 21-25 October 2019, Nice, France , CCF A[3] Xinhang Song, chengpeng chen, Shuqiang Jiang. “RGB-D Scene Recognition with Object-to-Object Relation” The 25th ACM Multimedia Conference (ACM Multimedia 2017), CCF A[4] 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[5] Xinhang Song, Luis Herranz, Shuqiang Jiang. “Depth CNNs for RGB-D scene recognition: learning from scratch better than transferring from RGB-CNNs” AAAI, 2017, CCF A[6] 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
承担科研项目情况:
[1] 国家自然基金青年项目:面向复杂环境的RGB-D多视觉模态场景识别与理解技术研究,项目负责人;[2] 第二届“博新计划”:面向多模态交互的视觉场景识别与理解技术研究,项目负责人;[3] 第63批博士后科学基金面上项目:基于图像内容语言描述的场景识别与理解技术,项目负责人。
学科类别:
计算机应用技术
所属部门:
智能信息处理重点实验室
专家类别:
副高
杰青入选时间:
百人入选时间:
其他备注:
其他备注2:
其他备注3: