[41] Bin Kang, Dong Liang, Junxi Mei, Xiaoyang Tan, Quan Zhou, and Dengying Zhang. Robust RGB-T tracking via graph attention based bilinear pooling. IEEE Transactions on Intelligence Transport System, under review, 2020. [40] Quan Zhou, Dechun Cong, Bin Kang, Xiaofu Wu, Baoyu Zheng, Huimin Lu, and Longin Jan Latecki. BICAN: bi-direction contextual aggregating network for semantic segmentation.IEEE Transactions on Image Processing, under review,2020. [39] Yoshiki Nakayama, Huimin Lu, Quan Zhou, and Hyoungseop Kim. WideSeg: wide residual network for semantic image segmentation.IEEE Transactions on Vehicle Technology, under review, 2020. [38] Sliang Zhao, Xiaofu Wu, Ben Xie, Suofei Zhang, and Quan Zhou. PFH-OSNet: Training OSNet from scratch with pyramidal feature hierarchy for person Re-identification.IEEE Signal Processing Letters, under review, 2020. [37] Quan Zhou, Jinnan Lu, andXiaofu Wu. Context aggregation network for medical image segmentation via deconvolution emsembling.IEEE Journal of Biomedical and Health Informatics, under review, 2020. [36]Xiaofu Wu,Suofei Zhang, Quan Zhou, and Zheng Yang. Entropy minimization vs. Diversity Maximization for domain adaption. IEEE Transactions on Neural Networks and Learning Systems, under review, 2020. [35] Quan Zhou, Yu Wang, Huimin Lu, Xiaofu Wu, and Bin Kang. AGSEDNet: attention-guided symmetric encoder-decoder network for real-time semantic segmentation.IEEE Transactions on Intelligence Transport System, under review, 2020. [34] Quan Zhou, Jie Wang, Jia Liu, Shenghua Li, Weihua Ou, and Xin Jin. RSANet: Towards real-time object detection with residual semantic-guided attention feature pyramid network. Mobile Networks and Applications, accepted, 2020. [33]Haixia Xiong, Weihua Ou, Zengxian Yan, Jianpin Gou, Quan Zhou, and Anzhi Wang. Modality-specific matrix factorization hashing for cross-modal retrieval.Journal of Ambient Intelligence & Humanized Computing, accepted, 2020. [32] Xin Jin, Pengyue Deng, Xinxin Li, Kejun Zhang, Xiaodong Li, Quan Zhou, Shujiang Xie, and Xi Fang. Sun-sky model estimation from outdoor images. Journal of Ambient Intelligence & Humanized Computing, accepted, 2020. [31] Xin Jin, Fengyi Li, Mingxue Yu,Xiaodong Li, Quan Zhou, Shujiang Xie, and Xi Fang. RSANet: Region self attention networks for street scene generation. Mobile Networks and Applications, accepted, 2020. [30] Wen su, Haifeng Zhang, Wenzhen Yang, Quan Zhou, and Zengfu Wang. Monocular depth estimation using information exchange network. IEEE Transactions on Intelligence Transport System, accepted, 2020. [29] Quan Zhou, Yu Wang, Yawen Fan, Xiaofu Wu, Suofei Zhang, Bin Kang, and Longin Jan Latecki. AGLNet: Towards real-time semantic segmentation of self-driving images via attention-guided lightweight network. Applied Soft Computing, 96(11):106682-106694, 2020. [28] Quan Zhou, Zhengjie Hu, Guangwei Gao, Wenbin Yu, Xin Jin,Huimin Lu,Baoyu Zheng,and Longin Jan Latecki. Learning adaptive contrast combinations for visual saliency detection. Multimedia Tools and Applications, 79(21):14419-14447, 2020. [27]Yawen Fan, Quan Zhou, and Bin Kang. Activity interaction detection by using causal discovery with order estimation. IEEE Access,7:1473968-173976, 2019. [26]Bin Kang, Quan Zhou, and Min Lin. Visual tracking via multi-layer factorized correlation filter. IEEE Signal Processing Letters, 26(12):1763-1767, 2019. [25]Suofei Zhang, Quan Zhou, andXiaofu Wu. Fast dynamic routing based on weighted kernel density estimation. Concurrency and Computation: Practice and Experience, accepted, 2019. [24]Weihua Ou,Jianpin Gou, Quan Zhou, and Fei Long. Discriminative multiview nonnegative matrix factorization for classification. IEEE Access,7:60947-60956, 2019. [23] Quan Zhou, Yu Wang, Jia Liu, Xin Jin, and Longin Jan Latecki. An open-source project for real-time image semantic segmentation. SCIENCE CHINA Information Sciences, 62(12):227101-227102, 2019. [22] Xiong Jian, Xianzhong Long, Shi Ran, Miaohui Wang, Quan Zhou, and Guan Gui. Periodic enhanced frame based long-short-term reference in HEVC for conference and surveillance video coding. IEEE Access, 7:46422-46433, 2019. [21] Huimin Lu, Joze Guna, and Quan Zhou. Preface: optical imaging for extreme environment. Optics & Lazer Technology, (2019):1-1, 2019. [20] Quan Zhou, Wenbing Yang,Guangwei Gao, Weihua Ou, Huimin Lu, Jie Chen,and Longin Jan Latecki. Multi-scale deep context convolutional neural network for semantic segmentation. World Wide Web-Internet and Web Information Systems, 22(2):555-570, 2019. (ESI Hot paper) [19] Huimin Lu, Li He, Quan Zhou, and Zongyuan Ge. Editorial: artificial intelligence for mobile robotic networks.Mobile Networks and Applications, 23(2):326-327, 2019. [18] Xiao Ma, Qiao Liu,Weihua Ou, and Quan Zhou. Visual object tracking via coefficients constrained exclusive group lasso. Machine Vision and Application, 29(5):749-763, 2018. [17] Guangwei Gao, Zangyi Hu, Songsong Wu, Dong Yue, Quan Zhou, and Pu Huang. Robust low-resolution face recognition via low-rank representation and locality-constrained regression. Computers and Electrical Engineering, 70:968-977, 2018. [16]Weihua Ou, Xiao Luan, Jianping Gou, Quan Zhou, Wenjun Xiao, Xiangguang Xiong, and Wu Zeng. Robust discriminative nonnegative dictionary learning for occluded face recognition.Pattern Recognition Letters, 107:41-49, 2018. [15] Quan Zhou, Wenbin Yu, Yawen Fan, Hu Zhu, Xiaofu Wu,Weihua Ou, Weiping Zhu, and Longin Jan Latecki. Face recognition via fast dense correspondence. Multimedia Tools and Applications, 77(9):10501-10519, 2018. [14]Yawen Fan, Quan Zhou, Wenjing Yue, and Weiping Zhu. A dynamic causal topic model for mining activities form complex videos. Multimedia Tools and Applications, 77(9):10669-10684, 2018. [13] Lizhen Deng, Hu Zhu, Quan Zhou, and Yansheng Li. Adaptive top-hat filter based on quantum genetic algorithm for infrared small target detection. Multimedia Tools and Applications, 77(9):10539-10561, 2018. [12] Huimin Lu, Yin Zhang, Yujie, Li, Quan Zhou, Ryunosuke Tadoh, Tomoki Uenura, Hyongseop Kim, and Seiichi Serikawa. Depth map reconstruction for under water kinect camera using impainting and local image mode filtering. IEEE Access, 5:7115-7122, 2017. [11] Qiao Liu, Xiao Ma, Weihua Ou, and Quan Zhou. Visual object tracking with online sample selection via lasso regularization. Signal, Image and Video Processing, 11(5):881-888, 2017. [10] Shu Cai, Quan Zhou, and Hongbo Zhu. A sum-of-squares and semidefinite programming approach for maximum likelihood DOA estimation. Sensors, 16(12):2191-2204, 2016. [9] Guangwei Gao, Xiaoyuan Jing, Pu Huang, Quan Zhou, Songsong Wu, and Dong Yue. Locality-constrained double low-rank representation for effective face hullucination.IEEE Access, 4:8775-8786, 2016. [8] Quan Zhou, Baoyu Zheng, Weiping Zhu, and Longin Jan Latecki. Multi-scale context for scene labeling via flexible segmentation graph.Pattern Recognition, 59(12):312-324, 2016. [7] Quan Zhou, Shafiq ur Rehman, Yu Zhou, and Baoyu Zheng. Face recognition using dense SIFT feature alignment. Chinese Journal of Electronics, 25(6):1034-1039, 2016. [6] Quan Zhou. Object-based attention: saliency detection using the contrast via background prototypes. Electronics Letters, 50(14):997-999, 2014. [5] Quan Zhou, Jun Zhu, and Wenyu Liu. Learning dynamic and hybrid markov random field for image labeling. IEEE Transactions on Image Processing, 22(6):2219-2232, 2013. [4] Jun Zhu, Quan Zhou, Weijia Zou, Rui Zhang, and Wenjun Zhang. A generalized pyramid matching kernel for human action recognition in relaistic videos.Sensors, 13(11):14398-14416, 2013. [3] 周全, 魏昕, 陈建新, 郑宝玉. 基于SIFT特征对其的人脸识别算法. 电子与信息学报, 37(8):1913-1919, 2015. [2] 周全, 王磊, 周亮, 郑宝玉. 基于上下文的图像标注. 自动化学报, 40(12):2944-2949, 2014. [1] Quan Zhou and Liang Zhou. Compressive sensing for video coding: a brief overview. IEEE COMSOC MMTC E-Letter, 9(2):20-22, 2014.
Conference
[26] Jie Wang, Quan Zhou, Dechun Cong, and Xiaofu Wu. ECNet: an efficient ConvNet for real-time object detection. International Symposium on ArtificialIntelligence and Robotics, accepted, 2020. [25] Shenghua Li, Quan Zhou, Jia Liu, Jie Wang, Yawen Fan, Xiaofu Wu, and Longin Jan Latecki. DCM: A dense -attention context module for semantic segmentation. IEEE International Conference on Image Processing, accepted, 2020. [24] Jia Liu,Quan Zhou, Yong Qiang, Bin Kang, Xiaofu Wu, and Baoyu Zheng. FDDWNET: A lightweight convolutional neural network for real-time semantic segmentation. IEEE International Conference on Acoustics, Speech and Signal Processing, 2020, pp 2372-2377. [23] Yu Wang, Quan Zhou, Jia Liu, Jian Xiong, Guangwei Gao, Xiaofu Wu, and Longin Jan Latecki. LEDNET: a lightweight encoder-decoder network for real-time semantic segmentation. IEEE International Conference on Image Processing, 2019, pp 1860-1864. (Oral) [22] Wan Ding, Bin Kang, Quan Zhou,Min Lin, and Suofei Zhang. Gayscal-thermal tracking via canonical correlation analysis based inverse sparse representation. IEEE International Conference on Acoustics, Speech and Signal Processing, 2020. [21] Dechun Cong, Quan Zhou, Jie Cheng, Xiaofu Wu, Suofei Zhang, Weihua Ou, and Huimin Lu. CAN: contextual aggregating network for semantic segmentation. IEEE International Conference on Acoustics, Speech and Signal Processing, 2019, pp 1892-1896. [20] Yu Wang and Quan Zhou. ESNet: an efficient symmetric network for real-time semantic segmentation. Chinese Conference on Pattern Recognition and Computer Vision, accepted, 2019. [19] Weihua Ou, Jianping Gou, Quan Zhou, and Fei Long. Discriminative multiview nonnegative matrix factorization for classification. International Symposium on ArtificialIntelligence and Robotics, accepted, 2019. [18] Quan Zhou,Jinwen Wu, Yawen Fan, Suofei Zhang, Xiaofu Wu, Baoyu Zheng, Xin Jin, Huimin Lu, and Longin Jan Latecki. Weighted linear multiple kernel learning for saliency detection. International Conference on Robotic Sensor Network, accepted, 2018. (Best paper award) [17] Quan Zhou, Yawen Fan, Weihua Ou, and Huimin Lu. Saliency detection via objectness transferring. International Symposium on ArtificialIntelligence and Robotics, accepted, 2018. [16] Ruisheng Xuan, Weihua Ou, Quan Zhou, Yongfeng Cao, Hua Yang, Xiangguang Xiong, and Fangming Ruan. Semantics consistent adversarial cross-modal retrieval. International Symposium on ArtificialIntelligence and Robotics, accepted, 2018. [15] Suofei Zhang, Quan Zhou, and Xiaofu Wu. Fast dynamic routing based on weighted kernel density estimation. International Symposium on ArtificialIntelligence and Robotics, accepted, 2018. [14] Wenbin Yang, Quan Zhou, Jingnan Lu, Xiaofu Wu, Suofei Zhang, and Longin Jan Latecki. Dense deconvolutional network for semantic segmentation. IEEE International Conference on Image Processing, 2018, pp 1573-1577. [13] Yan Wang, Xiaofu Wu, Yuanyuan Chang, Suofei Zhang, Quan Zhou, and Jun Yan. Batch normalization: is learning an adaptive gain and bias necessary? International Conference on Machine Learning and Computing, 2018, pp 36-40. [12] Wenbin Yang, Quan Zhou, Yawen Fan, Guangwei Gao, Songsong Wu, Weihua Ou, Huimin Lu, Jie Cheng, , and Longin Jan Latecki. Deep context convolutional neural networks for semantic segmentation. Chinese Conference on Computer Vision, 2017, pp 696-704. [11] Xin Jin, Yannan Li, Ningning Liu, Xiaodong Li, Quan Zhou,Yulu Tian, and Shiming Ge. Scene relighting using a single reference image through material constrained layer decomposition. International Symposium on ArtificialIntelligence and Robotics, 2017, pp 37-44. (Best student paper award) [10] Guangwei Gao, Pu Huang, Quan Zhou,Songsong Wu, Xiaoyuan Jing, and Dong Yue. Low-rank representation and locality-constrained regression for robust low-resolution face recognition. International Symposium on ArtificialIntelligence and Robotics, 2017, pp 17-26. [9] Yumin Hu, Quan Zhou,Guangwei Gao, Zhijun Yao, Weihua Ou, and Longin Jan Latecki. Robust background exclusion for salient object detection. International Conference on Wireless Communication and Signal Processing, 2016, pp 1-5. [8] Zhijun Yao, Quan Zhou, Xiaofei Yang, Chunhua Yang, and Zhongyuan Lai. Quadrants higtogram equalization with a clipping limit for image enhancement. International Conference on Wireless Communication and Signal Processing, 2016, pp 15-20. [5] Guangwei Gao, Quan Zhou,Songsong Wu, and Dong Yue. Locality-constrained matrix regression for position-patch based face hallucination. IEEE International Conference on Image Processing, 2016, pp 419-423. [6] Quan Zhou,Nianyi Li, Jianxin Chen, Shu Cai, and Longin Jan Latecki. Salient object detection via background contrast. IEEE International Conference on Acoustics, Speech and Signal Processing, 2015, pp 1463-1467. [5] Quan Zhou, Shu Cai, Shaojun Zhu, and Baoyu Zheng. Salient object detection using window mask transferring with multi-layer background contrast. Asian Conference on Computer Vision, 2014, pp 1418-1441. [4] Quan Zhou, Ji Chen, Shiwei Ren, Yu Zhou, Jun Chen, and Wenyu Liu. On contrast combinations for visual saliency detection. IEEE International Conference on Image Processing, 2013, pp 2665-2669. [3] Quan Zhou, Nanyi Li, Yi Yang, Pan Chen, and Wenyu Liu. Corner-surround contrast for saliency detection. International Conference on Pattern Recognition, 2012, pp 1318-1321. [2] Quan Zhou, Canxiang Yan, Yinyin Zhu, Xiang Bai, and Wenyu Liu. Image labeling by multiple segmentation. IEEE International Conference on Image Processing, 2011, pp 3129-3123. (Oral) [1] Quan Zhou and Wenyu Liu. Inference scene labeling by incorporating object detection with explicit shape model. Asian Conference on Computer Vision, 2010, pp 382-395.
Ph.D. Thesis (In Chinese)
Research on Contextual Image Labeling.(PDF)
Presentations
Parsing and Labeling: Contextual based Image Understanding, Beijing, China, 2012. (TechniColor, Invited Talk)(PDF) Image Labeling by Multiple Segmentation, Brussels, Belgium, 2011. (ICIP, Oral presentation)(PDF)