(Interpreter: Rui Gong) Cuijin Li, a Teacher from the School of Electronics and Information of CQIE, Published the Latest Research Results at IEEE TITS Net News (article/ Division of Science and Technology Shiyi Li) Recently, Cuijin Li, associate professor of the School of Electronics and Information of CQIE, and Zhong Qu, professor of Chongqing University of Posts and Telecommunications, cooperated with IEEE Transactions on Intelligent Transportation Systems (IF= 9.55, top journal of Region 1 of the Chinese Academy of Sciences) as the first author of IEEE Transactions on Intelligent Transportation Systems (IF= 9.55, Top Journal of Region 1 of the Chinese Academy of Sciences) entitled "PerspectiveNet: An." Object Detection Method with Adaptive Perspective Box Network Based on Density-aware". Aiming at the problem of mutual occlusion and inaccurate confidence of objects in complex traffic environment, this paper proposes an adaptive network object detection algorithm with perspective box based on density perception. It is reported that Cuijin Li's team has long been committed to the research of multi-target detection and recognition in complex traffic environments, explored the theory and method of intelligent object detection based on deep learning, studied feature extraction of adaptive overlapping window and deep learning target detection methods, improved deep learning models such as multi-scale, enhanced convolution and hybrid pooling, proposed deep neural network and millimeter-wave radar fusion technology to achieve high-precision multi-target detection, and explored compression methods such as transfer learning, model pruning, knowledge distillation and regenerative neural networks. Improve real-time object detection. He has published more than 10 papers in high-level academic journals at home and abroad, such as IEEE-TITS, CAAI Transactions on Intelligence Technology, IEEE-TCSVT, PRL, etc., applied for 5 national invention patents, and edited 3 books. |
China · Chongqing · South hot spring
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