论文发表 | 更多信息参见主页：https://zhangqing0329.github.io/ [1] Qing Zhang*, Yanjiao Shi, Xueqin Zhang. Attention and boundary guided salient object detection. Pattern Recognition, 2020, 107: 107-484. (SCI,中科院1区) [2] Qing Zhang*, Wenzhao Cui, Yanjiao Shi, Xueqin Zhang, Yunxiang Liu. Attentive feature integration network for detecting salient objects in images. Neurocomputing, 2020, 411: 268-281. (SCI,中科院2区) [3] Qing Zhang*, Jiajun Lin, Jinjin Zhuge, Wenhao Yuan. Multi-level and multi-scale deep saliency network for salient object detection, Journal of Visual Communication and Image Representation, 2019, 59: 415-424. (SCI,中科院3区) [4] Qing Zhang*, Jiajun Lin, Yanyun Tao, Wenju Li, Yanjiao Shi. Salient object detection via color and texture cues. Neurocomputing, 2017, 243(21): 35-48. (SCI,中科院2区) [5] Qing Zhang*, Jiajun Lin, Wenju Li, Yanjiao Shi, Guogang Cao. Salient object detection via compactness and objectness cues. Visual Computer, 2018, 34(4): 473-489. (SCI,中科院4区) [6] Qing Zhang*, Desi Luo, Wenju Li, Yanjiao Shi, Jiajun Lin. Two-stage absorbing markov chain for salient object detection. International Conference on Image Processing, 2017: 895-899. (EI) [7] Qing Zhang*, Jiajun Lin, and Xiaodan Li, Salient object detection via structure extraction and region contrast, Journal of Information Science and Engineering, 2016, 32(6): 1435-1454. (SCI,中科院4区) [8] Tao Yanyun, Zhang Qing, Zhang Lijun, Zhang Yuzhen. A systematic EHW approach to the evolutionary design of sequential circuits. Soft Computing, 2016, 20(12): 5025-5038. (SCI,中科院3区) [9] 张晴*, 左保川, 石艳娇, 戴蒙. 多尺度卷积神经网络显著物体检测. 中国图象图形学报, 2020, 25(06): 1116-1129. (北大核心) [10] 张晴*, 李云, 李文举, 林家骏, 肖莽, 陈飞云. 融合深度特征和多核增强学习的显著目标检测算法. 中国图象图形学报, 2019, 24(07): 1096-1105. (北大核心) [11] 张晴*, 李云. 基于马尔科夫链和物体先验的显著物体检测. 计算机工程与设计, 2019, 40(4): 1038-1045. (北大核心) [12] 李云(学生), 张晴*, 沈子豪. 多特征融合的火焰显著性检测. 中国安全科学学报, 2019, 29(5): 56-61. (北大核心) |
