Dr. Zhitong Xiong

Room: 

 

E-mail: zhitong.xiong(at)tum.de
More information: DBLP

 

Curriculum Vitae

  • Mar. 2018 -  Mar. 2021. Ph.D. Degree of Engineering, Northwestern Polytechnical University, China
  • Sep. 2015 - Mar. 2018, Master Degree of Engineering, Northwestern Polytechnical University, China
  • Sep. 2011 - July 2015,  Bachelor Degree of Engineering, Northwestern Polytechnical University, China

Research Interests

  • Computer Vision
  • Semantic Segmentation
  • Multimodal Feature Learning

Awards

  • Excellent Master’s Theses Prize
  • China National Scholarship
  • Academic Scholarship of Undergraduate Student

Key Publications

  • Z. Xiong, Y. Yuan, and Q. Wang, “ASK: Adaptively Selecting Key Local Features for RGB-D Scene Recognition,” IEEE Transactions on Image Processing (T-IP), vol. 30, pp. 2722-2733, 2021.
  • Q. Wang, W. Huang, Z. Xiong, and X. Li, “Looking Closer at the Scene: Multi-Scale Representation Learning for Remote Sensing Image Scene Classification,” IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), DOI: 10.1109/TNNLS.2020.3042276.
  • Z. Xiong, Y. Yuan, N. Guo and Q. Wang, “Variational Context-Deformable ConvNets for Indoor Semantic Segmentation,” Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 3991-4001, 2020.
  • Z. Xiong, Y. Yuan, and Q. Wang, “MSN: Modality Separation Networks for RGB-D Scene Recognition,” Neurocomputing, vol. 373, pp. 81-89, 2020.
  • Y. Yuan, Z. Xiong, and Q. Wang, “ACM: Adaptive Cross-Modal Graph Convolutional Neural Networks for RGB-D Scene Recognition,” Proc. AAAI Conference on Artificial Intelligence (AAAI), pp. 9176-9184, 2019. Oral.
  • Z. Xiong, Y. Yuan, and Q. Wang*, “AI-NET: Attention Inception Neural Networks for Hyperspectral Image,” Proc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 2647-2650, 2018.
  • Y. Yuan, Z. Xiong, and Q. Wang*, “An Incremental framework for Video-based Traffic Sign Detection, Tracking and Recognition,” IEEE Transactions on Intelligent Transportation Systems (T-ITS), vol. 18, no. 7, pp. 1918-1929, 2017.