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Dr. Qing Guo is currently a senior research scientist and principal investigator (PI) at the Center for Frontier AI Research (CFAR), A*STAR in Singapore. He is also an adjunct assistant professor at the National University of Singapore (NUS) .
1,2 Qing Guo* 2 Shuifa Sun* 2 Fangmin Dong 1 Wei Feng 3 Bruce Zhi Gao 3 Siyu Ma . 1 Tianjin University 2 China Three Gorges University 3 Clemson University . Figure 1: An example of minimizing FBE. As FBE reducing, the energy of C in subregions gradually vanishes. Finally, Ct is restricted to C with segmentation result obtained.
Qing Guo Ruize Han Wei Feng* Zhihao Chen Liang Wan 1 College of Intelligence and Computing, Tianjin University. Figure 1. Comparison between SRDCF and the proposed selective spatial regularization based discriminative CF (SSR-DCF) on the cases of occlusion and background clutter.
Learning Dynamic Siamese Network for Visual Object Tracking Qing Guo, Wei Feng, Ce Zhou, Rui Huang, Liang Wan, Song Wang. In ICCV 2017.(CCF-A) . [ PDF ] [ Supplementary ] [ BibTeX ]
Hua Qi1∗, Qing Guo2∗, Felix Juefei-Xu3, Xiaofei Xie2, Lei Ma1† Wei Feng4, Yang Liu2, Jianjun Zhao1 1Kyushu University, Japan 2Nanyang Technological University, Singapore 3Alibaba Group, USA 4Tianjin University, China ABSTRACT As the GAN-based face image and video generation techniques, widely known as DeepFakes, have become more and more ma-
Qing Guo, Wei Feng*, Ce Zhou, Bin Wu School of Computer Science and Technology, Tianjin University, Tianjin, China Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin University, Tianjin, China ftsingqguo, wfeng, zhouce,binwug@tju.edu.cn ABSTRACT Compressive random projection is a powerful appearance
1 Zhihao Chen § 2 Qing Guo § 1 Liang Wan* 2 Wei Feng . 1 School of Computer Software, Tianjin University 2 School of Computer Science and Technology, Tianjin University §: equal contribution Comparing a CF tracker, i.e. STAPLE, with its BSCF tracker, i.e. STAPLE_BS which is equipped with our background suppression filtering.
Rui-Ze Han Qing Guo Wei Feng* School of Computer Science and Technology, Tianjin University . Figure.1 Pipeline of CRSR based CF tracking. Static CRSR introduces the object saliency map of the first frame into the spatially variant weight map to highlight the target region.
Learning Dynamic Siamese Network for Visual Object Tracking Qing Guo1,3, Wei Feng1,3∗, Ce Zhou 1,3, Rui Huang1,3,5, Liang Wan2,3, Song Wang1,3,4 1 School of Computer Science and Technology, Tianjin University, Tianjin, China 2 School of Computer Software, Tianjin University, Tianjin, China 3 Key Research Center for Surface Monitoring and Analysis of Cultural Relics, SACH, China
Shuifa Sun **, Qing Guo *, Fangmin Dong, Bangjun Lei Institute of Intelligent Vision and Image Information, China Three Gorges University, Yichang 443002, China ABSTRACT Â In this paper, a real-time visual tracking system that delivers superior performance under difficult situations is proposed. The system is based on Histogram of Oriented ...
