生命科学与技术学院
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| 导师代码： |
20511
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| 导师姓名： |
张显石
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| 性 别： |
男 |
| 特 称： |
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| 职 称： |
助理研究员
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| 学 位： |
工学博士学位
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| 属 性： |
专职 |
| 电子邮件： |
zhangxianshi@uestc.edu.cn
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| 学术经历：
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2012.09-2017.06, 电子科技大学, 生物医学工程, 博士
2015.11-2016.11, 西北大学, 神经科学, 联合培养博士
2005.09-2008.06, 电子科技大学, 模式识别与智能系统, 硕士
2001.09-2005.07, 电子科技大学, 通信工程, 学士
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| 个人简介：
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主要研究方向：视觉认知计算、计算机视觉、类脑智能。
关注视觉系统的信息加工机理，利用计算模型，模拟视觉系统神经机制，构建神经机制与视觉任务之间的桥梁，阐释视觉神经机制在多种不同视觉任务中的作用，加深对视觉感知机理的理解。
近期研究兴趣为图像增强和图像质量评估。
实验室主页：http://www.neuro.uestc.edu.cn/vccl/home.html
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| 科研项目：
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[4] 面向机器感知的开放场景图像自适应增强研究。 四川省面上项目，2024.01-2025.12
[3] 基于认知人工智能的医疗影像分析处理研发。 横向合作， 2024.05-2028.12
[2] 夜间着舰场景视频图像智能增强研究。 横向合作， 2022.11-2023.12
[1] 基于视网膜机制的计算模型及其在复杂图像处理的应用研究。NSFC青年项目，2019.01-2021.12
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| 研究成果：
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[19] T Deng, L Jiang, Y Shi, J Wu, Z Wu, S Yan, XS Zhang*, H Yan. Driving visual saliency prediction of dynamic night scenes via a spatio-temporal dual-encoder network. IEEE Transactions on Intelligent Transportation Systems. 25(3), 2413-2423.
[18] XS ZHANG, J SONG, S SONG, Y LI. Learning generalized visual odometry using position-aware optical flow and geometric bundle adjustment. Journal of Electronics & Information Technology. 45(8), 1-10.
[17] YJ Cao, XS Zhang*, FY Luo, P Peng, C Lin, KF Yang, YJ Li. Learning generalized visual odometry using position-aware optical flow and geometric bundle adjustment. Pattern Recognition. 136, 109262.
[16] Y Cao, XS Zhang*, F Luo, C Lin, YJ Li. Unsupervised visual odometry and action integration for pointgoal navigation in indoor environment. IEEE Transactions on Circuits and Systems for Video Technology. 33(10), 6173-6184.
[15] KF Yang, C Cheng, SX Zhao, HM Yan, XS Zhang*, YJ Li. Learning to adapt to light. International Journal of Computer Vision. 131, 1022–1041.
[14] X Wei, XS Zhang, Y Li. Tsn-ca: A two-stage network with channel attention for low-light image enhancement. International Conference on Artificial Neural Networks. European Neural Network Society, Bristol, UK: 2022.
[13] L Qin, Y Shi, Y He, J Zhang, XS Zhang, Y Li, T Deng, H Yan. ID-YOLO: Real-Time Salient Object Detection Based on the Driver's Fixation Region. IEEE Transactions on Intelligent Transportation Systems. 23(9), 5898 - 15908.
[12] X Wei, XS Zhang*, Y Li. SARN: A Lightweight Stacked Attention Residual Network for Low-Light Image Enhancement. International Conference on Robotics and Automation Engineering. IEEE, Guangzhou, China: 2021.
[11] XS Zhang, YB Yu, KF Yang, YJ Li. A fish retina-inspired single image dehazing method. IEEE Transactions on Circuits and Systems for Video Technology. 32(4), 1875-1888.
[10] XS Zhang, KF Yang, YJ Li. Haze removal with channel-wise scattering coefficient awareness based on grey pixels. Optics Express 29 (11), 16619-16638.
[9] XS Zhang, K Yang, J Zhou, YJ Li. Retina inspired tone mapping method for high dynamic range images. Optics Express 28 (5), 5953-5964.
[8] KF Yang, XS Zhang, YJ Li. A biological vision inspired framework for image enhancement in poor visibility conditions. IEEE Transactions on Image Processing 29, 1493-1506.
[7] SB Gao, M Zhang, Q Zhao, XS Zhang, YJ Li. Underwater image enhancement using adaptive retinal mechanisms. IEEE Transactions on Image Processing 28 (11), 5580-5595.
[6] XS Zhang, YB Yu, KF Yang, YJ Li. A Retina Inspired Model for Image Enhancement in Extreme Environments. PERCEPTION 48, 48-49.
[5] XS Zhang, YJ Li, SH DeVries. Light acts directly on S-cone terminals to regulate transmitter release. Investigative Ophthalmology & Visual Science 58 (8), 5600-5600.
[4] XS Zhang, YJ Li. A retina inspired model for high dynamic range image rendering. International Conference on Brain Inspired Cognitive Systems. Springer, Beijin, China: 2016, 68-79
[3] H Kuang, XS Zhang, YJ Li, LLH Chan, H Yan. Nighttime vehicle detection based on bio-inspired image enhancement and weighted score-level feature fusion. IEEE Transactions on Intelligent Transportation Systems 18 (4), 927-936.
[2] XS Zhang, SB Gao, RX Li, XY Du, CY Li, YJ Li. A retinal mechanism inspired color constancy model. IEEE Transactions on Image Processing 25 (3), 1219-1232.
[1] XS Zhang, SB Gao, CY Li, YJ Li. A retina inspired model for enhancing visibility of hazy images. Frontiers in computational neuroscience 9, 151.
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| 专业研究方向：
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| 专业名称 |
研究领域/方向 |
招生类别 |
| 083100生物医学工程 |
06视觉感知与认知机理，07计算神经科学与类脑智能 |
硕士学术学位 |
| 085409生物医学工程 |
01不区分研究方向，02不区分研究方向（非全） |
硕士专业学位 |
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