职 称:副研究员 (Associate Professor)
电子邮箱:xinhang [dot] song@vipl [dot] ict [dot] ac [dot] cn
通讯地址:NO.6 KEXUEYUAN SOUTH ROAD ZHONGGUANCUN
研究方向:场景识别与理解
宋新航,男,2017年获中国科学院计算技术研究所博士学位。2019获中国图象图形学学会(CSIG)优博,2017年中国科学院“院长特别奖”,2017年获“博士后创新人才支持计划”资助。主要研究方向包括面向计算机视觉的机器学习与模式识别算法和模型。曾在CVPR,AAAI,IJCAI,ACM MM,Trans. on IP,Pattern Recognition等国际知名期刊和会议上以第一作者发表作论文十余篇。
Xinhang Song, Shuqiang Jiang, Bohan Wang, Chengpeng Chen, Gongwei Chen: Image Representations With Spatial Object-to-Object Relations for RGB-D Scene Recognition. IEEE Trans. Image Process (TIP). 29: 525-537 (2020), CCF-A
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)
Xinhang Song, chengpeng chen, Shuqiang Jiang. “RGB-D Scene
Recognition with Object-to-Object Relation” The 25th ACM Multimedia Conference (ACM MM) 2017 (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.