导师:吕彦锋
研究方向:
类脑视觉、机器人视觉、图像识别与检测、机器人智能感知、机器人自主导航等

导师简介:

吕彦锋

个人信息

性别:男                                                       

职称:副研究员(中科院自动化所)

研究方向

类脑视觉、机器人视觉、图像识别与检测、机器人智能感知、机器人自主导航等

个人简历

2006-09--2010-07   哈尔滨工业大学   学士

2010-09--2015-07   韩国 高丽大学(国家公派)   博士

2015-09~2017-10    中国科学院自动化研究所, 助理研究

2017-11至今       中国科学院自动化研究所, 副研究员

代表论著

1Dominant Orientation Patch Matching for HMAX, Neurocomputing, 2016, 1 作者

2Extended Biologically Inspired Model for Object Recognition Based on Oriented Gaussian-Hermite Moment, Neurocomputing, 2014, 1 作者

3Enhanced hierarchical model of object recognition based on a novel patch selection method in salient regions, IET Computer Vision, 2015, 1 作者

4Image Recommendation based on a Novel Biologically Inspired Hierarchical Model, Multimedia Tools and Applications, 2018, 1 作者

5Enhanced Biologically Inspired Model for Image Recognition Based on a Novel Patch Selection Method with Moment, International Journal on Wavelet, Multiresolution, and Information Processing, 2019, 1 作者

6What will the robots be like in the future, National Science Review, 2019, 1 作者

7A Novel Biologically Inspired Hierarchical Model for Image Recommendation, International Symposium on Neural Networks, 2017, 1 作者

8Multi-Scale Scene Text Detection Based on Convolutional Neural Network, Chinese Automation Congress, 2019, 1 作者

9 A Novel Patch Selection Method in Salient Regions of Object recognition, Korean Conference of Institute of Control, Robotics and Systems, 2015, 1 作者

10Convolutional Neural Networks on Apache Storm, Chinese Automation Congress, 2019, 通讯作者

11A novel CNN model for fine-grained classification with large spatial variants, International Conference on Intelligent Computing and Signal Processing, 2020, 通讯作者

12B-HMAX: A fast Binary Biologically Inspired Model for Object Recognition, Neurocomputing, 2016, 2 作者

133-D Vision Based Local Obstacle Avoidance Method for Humanoid Robot, International Conference on Controls Automation and Systems, 2012, 2 作者

14A fast Binary Biologically Inspired Model for Object Recognition, Korean Conference of Institute of Control, Robotics and Systems, 2015, 3 作者

15Human Motion Prediction based on Visual Tracking, International Conference on Robotics and Automation Engineering, 2019, 5 作者

 

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