About me

I am currently a researcher and development engineer working in Baidu Intelligent Driving Group (IDG), and simultaneously a postdoctor fellow at the University of Tsinghua, supervised by Prof. Jie Zhou. In June 2018, I received my PhD degree from the National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CASIA), supervised by Prof. Zhanyi Hu and Prof. Guanghui Wang. Prior to this, I received my BS degree from BeiHang University in June 2013.

My research focuses on computer vision, machine learning and pattern recognition. I am interested in L4 Hdmap Autonomous Update: how to use the state-of-the-art algorithms to update the L4 Hdmap more efficiently and effectively.

Publications

Lei He, Guanghui Wang, Zhanyi Hu, Learning Depth from Single Images with Deep Neural Network Embedding Focal Length, IEEE Transactions on Image Processing, 27(9): 4676-4689, 2018. [pdf, codes and datasets]

Lei He, Miao Yu, Guanghui Wang. Spindle-Net: CNNs for Monocular Depth Inference with Dilation Kernel Method. 24th International Conference on Pattern Recognition (ICPR). IEEE, 2018: 2504-2509. [pdf]

Lei He, Qiulei Dong, and Guanghui Wang. “Fast depth extraction from a single image.” International Journal of Advanced Robotic Systems 13.6 (2016): 1729881416663370.

何雷, 董秋雷, and 胡占义. “从单幅图像学习场景深度信息固有的歧义性.” 中国科学: 信息科学 7 (2016): 1.

Lei He, Jiwen Lu, Guanghui Wang, Shiyu Song, Jie Zhou. “SOSD-Net: Joint Semantic Object Segmentation and Depth Estimation from Monocular images”, Neurocomputing 440 (2021): 251-263.

Lei He, Shengjie Jiang, Xiaoqing Liang, Ning Wang, Shiyu Song. “Diff-Net: Image Feature Difference based High-Definition Map Change Detection.” arXiv preprint arXiv:2107.07030 (2021).

Lei He, “Learning Depth from Single Images”, Doctoral Thesis. 2018.