Hao Li, Fei Qi, Guangming Shi, and Chunhuan Lin, “A Multiscale Dilated Dense Convolutional Network for Saliency Prediction with Instance-Level Attention Competition,” Journal of Visual Communication and Image Representation, 64: 102611, Oct. 2019. [doi: 10.1016/j.jvcir.2019.102611]. [50 days’ free access]
Fei Qi, Chunhuan Lin, Guangming Shi, and Hao Li, “A Convolutional Encoder-Decoder Network with Skip Connections for Saliency Prediction,” IEEE Access, 7: 60428–60438, May 2019. (IF=3.557) doi: 10.1109/ACCESS.2019.2915630
Chen Xia, Junwei Han, Fei Qi, and Guangming Shi, “Predicting Human Saccadic Scanpaths Based on Iterative Representation Learning,” IEEE Transactions on Image Processing, 28(7): 3502-3515, July 2019. (IF=5.071) doi: 10.1109/TIP.2019.2897966
Xiaohu Yu, Artem Oganov, Qiang Zhu, Fei Qi and Guang-Rui Qian, “The stability and unexpected chemistry of oxide clusters,” Physical Chemistry Chemical Physics, 20(48): 30437–30444, 2018. doi: 10.1039/C8CP03519A (IF=3.906)
Chen Xia, Fei Qi, Guangming Shi, and Chunhuan Lin, “Stereoscopic Saliency Estimation with Background Priors Based Deep Reconstruction,” Neurocomputing. 321: 126–138, Dec. 2018. doi: 10.1016/j.neucom.2018.09.009
Chen Xia, Fei Qi, and Guangming Shi, “Bottom-up Visual Saliency Estimation with Deep Autoencoder-based Sparse Reconstruction,” IEEE Transactions on Neural Networks and Learning Systems, 27(6): 1227–1240, June 2016. doi: 10.1109/TNNLS.2015.2512898
Chang Wang, Fei Qi, Guangming Shi, and Xiaotian Wang, “Convex Combination Based Target Localization with Noisy Angle of Arrival Measurements,” IEEE Wireless Communications Letters, 3(1): 14–17, Feb. 2014. doi: 10.1109/WCL.2013.101613.130587
Chang Wang, Fei Qi, Guangming Shi, and Jingbo Ren, “A linear combination-based weighted least square approach for target localization with noisy range measurements,” Signal Processing, 94(1): 202–211, Jan. 2014. doi: 10.1016/j.sigpro.2013.06.005
Jinjian Wu, Guangming Shi, Weisi Lin, Anmin Liu, and Fei Qi, “Just Noticeable Difference Estimation for Images With Free-Energy Principle,” IEEE Trans. Multimedia, 15(7): 1705–1710, Nov. 2013. doi: 10.1109/TMM.2013.2268053
Chang Wang, Fei Qi, Guangming Shi, and Xiaotian Wang. “A Sparse Representation-Based Deployment Method for Optimizing the Observation Quality of Camera Networks,” Sensors, 13(9): 11453–11475, Aug. 2013. doi: 10.3390/s130911453
Fei Qi, Junyu Han, Pengjin Wang, Guangming Shi, and Fu Li. “Structure Guided Fusion for Depth Map Inpainting,” Pattern Recognition Letters. 34(1): 70–76, January 2013. doi: 10.1016/j.patrec.2012.06.003
Jinjian Wu, Fei Qi, and Guangming Shi. “Non-Local Spatial Redundancy Reduction for Bottom-Up Saliency Estimation,” Journal of Visual Communication and Image Representation. 23(7): 1158–1166, October 2012. doi: 10.1016/j.jvcir.2012.07.010
Jinjian Wu, Fei Qi, and Guangming Shi. “Self-Similarity Based Structural Regularity for Just Noticeable Difference Estimation,” Journal of Visual Communication and Image Representation. 23(6): 845-852, August 2012. doi: 10.1016/j.jvcir.2012.04.010
Jie Lin, Guangming Shi, Xuyang Chen, Fei Qi, Li Zhang, and Xuemei Xie. “High-resolution ranging method based on low-rate parallel random sampling,” Digital signal processing, 22(2): 219–225, March 2012. doi: 10.1016/j.dsp.2011.11.006.
Guangming Shi, Xuyang Chen, Xiaoxia Song, Fei Qi, and Ailing Ding, “Signal Matching Wavelet for Ultrasonic Flaw Detection in High Background Noise”. IEEE Trans. Ultrasonics, Ferroelectrics, and Frequency Control, 58(4): 776–787, 2011.
Guangming Shi, Jie Lin, Xuyang Chen, Fei Qi, Danhua Liu, and Li Zhang, “UWB Echo Signal Detection with Ultra-Low Rate Sampling based on Compressed Sensing,” IEEE Trans. Circuits and Systems II: Express Briefs, 55(4): 379–383, 2008.
Fei Qi, Qihe Li, Yupin Luo, and Dongcheng Hu. “Constraints on General Motions for Camera Calibration with One-Dimensional Objects,” Pattern Recognition, 40(6): 1785–1792, 2007.
Fei Qi, Qihe Li, Yupin Luo, and Dongcheng Hu, “Camera Calibration with One-Dimensional Objects Moving under Gravity”, Pattern Recognition, 40(1): 343–345, 2007.
Fei Qi, Yupin Luo, and Dongcheng Hu, “Recognition of Perspectively Distorted Planar Grids”, Pattern Recognition Letters, 27(14): 1725–1731, 2006.
Fei Qi, Zhaohui Xia, Gaoyang Tang, Hang Yang, Yu Song, Guangrui Qian, Xiong An, Chunhuan Lin, Guangming Shi, “DarwinML: A Graph-based Evolutionary Algorithm for Automated Machine Learning,” arXiv:1901.08013 [cs.NE], 2019.
Fu Li, Guangming Shi, Fei Qi, and Li Zhang. “Bandwidth Adaption for Kernel Particle Filter”, Journal of Systems Engineering and Electronics, 21(6), 2010.
Fu Li, Fei Qi, Guangming Shi, and Li Zhang. “Optimization-based particle filter for state and parameter estimation”, Journal of Systems Engineering and Electronics, 20(3): 479-484, 2009.
Pengfei Wang, Chengquan Zhang, Fei Qi, Zuming Huang, Mengyi En, Junyu Han, Jingtuo Liu, Errui Ding, and Guangming Shi, “A Single-Shot Arbitrarily-Shaped Text Detector based on Context Attended Multi-Task Learning,” In Proceedings of the 27th ACM International Conference on Multimedia (MM ‘19), Oct. 2019. Nice, France. doi: 10.1145/3343031.3350988arXiv: 1908.05498[cs.CV] (Accepted)
Chen Xia, Fei Qi, Guangming Shi. “An Iterative Representation Learning Framework to Predict the Sequence of Eye Fixations,” Int’l Conf. Multimedia & Expo, July 2017. Hongkong.
Jinjian Wu, Fei Qi, and Guangming Shi. “Image Quality Assessment based on Improved Structural SIMilarity,” Pacific-Rim Conf. Multimedia, PCM, Dec. 2012. Singapore.
Chang Wang, Fei Qi, and Guangming Shi. “Observation Quality Guaranteed Layout of Camera Networks via Sparse Representation,” in Proc. Visual Communications and Image Processing, VCIP, Nov. 2011. Tainan, Taiwan.
Jinjian Wu, Fei Qi, and Guangming Shi. “Unified Spatial Masking for Just-Noticeable Difference Estimation,” in Proc. APSIPA Annual Summit and Conference, APSIPA ASC, Oct. 2011. Xi’an, China.
Junyu Han, Fei Qi, and Guangming Shi. “Enhancing Gradient Sparsity for Parametrized Motion Estimation,” in Proc. British Machine Vision Conference, BMVC, Sep. 2011. Dundee, UK.
Junyu Han, Fei Qi, and Guangming Shi, “Gradient Sparsity for Piecewise Continuous Optical Flow Estimation,” in Proc. IEEE Int’l Conf. Image Processing, ICIP, Sep. 2011. Brussels, Belguim: IEEE Press.
Jinjian Wu, Fei Qi, and Guangming Shi, “An improved model of pixel adaptive just-noticeable difference estimation,” in Proc. IEEE Int’l Conf. Acoustics, Speech, and Signal Processing, ICASSP, Mar. 2010. Dallas, Texas, USA: IEEE Press.
Chang Wang, Fei Qi, Guangming Shi, “Nodes placement for optimizing coverage of visual sensor networks,” in Proc. 10th IEEE Pacific-Rim Conf. Multimedia, PCM, Dec. 2009. Bangkok, Thailand: IEEE Press.
Fei Qi, Xiaowei Song, and Guangming Shi. “LDA based Color Information Fusion for Visual Objects Tracking”, in Proc. IEEE Int’l Conf. Image Processing, ICIP, Nov. 2009. Cairo, Egypt: IEEE Press.
Fei Qi, Jinjian Wu, and Guangming Shi. “Extracting Regions of Attention by Imitating the Human Visual System”, in Proc. IEEE Int’l Conf. Acoustics, Speech and Signal Processing, ICASSP, Apr. 2009. Taipei, Taiwan: IEEE Press.
Fei Qi, Yupin Luo, and Dongcheng Hu, “Distorted Grid Recognition with Its Application to Microarray Image Analysis”, in Proc. Third Int’l Conf. Image and Graphics, Dec. 2004. Hongkong, China: IEEE Computer Society.
Fei Qi, Yupin Luo, and Dongcheng Hu, “Visual Tracking of Players through Occlusions in Low Resolution”, in Proc. Sixth IASTED Int’l Conf Signal and Image Processing, pp. 375-380, Aug. 2004. Honolulu, HI, USA: ACTA Press.
Fei Qi and Chengying Hua, “Efficient Automated Microarray Image Analysis”, in Proc. Second Int’l Conf. Image and Graphics, Proceedings of SPIE, vol. 4875, pp. 567–574, Aug. 2002. Hefei, China: SPIE.