About me
Hello, Iβm Junfei. Welcome to my homepage.
I was born in 1997 and recently completed my Ph.D. at the National Engineering Center of Robot Visual Perception and Control Technology, Hunan University, under the supervision of Professor Yaonan Wang, Professor Jianxu Mao, and Professor Hui Zhang. From February 2024 to February 2025, I am a visiting student at the University of Technology Sydney (UTS), working under the supervision of Professor Xiaojun Chang and Professor Hanyu Gu. I received my M.S. and B.S. degrees from Changsha University of Science and Technology in 2021 and Xiβan University of Posts & Telecommunications in 2018, respectively.
My research interests include image processing, object detection, and knowledge distillation.
π’ News
- ποΈ [2025-07-03] - Congratulations! One Paper was accepted to IEEE Transactions on Industrial Informatics.
- ποΈ [2025-06-26] - Congratulations! our paper CVPT: Cross Visual Prompt Tuning was accepted by ICCV 2025.
- ποΈ [2025-06-25] - I'm thrilled to share that I successfully passed my PhD defense today β huge thanks to everyone who supported me!
- ποΈ [2025-04-04] - I successfully concluded an engaging and insightful project, marking the end of a productive and enjoyable experience.
- ποΈ [2025-03-07] - Started research on aircraft panel hole detection at COMAC (Commercial Aircraft Corporation of China) in Shanghai.
- ποΈ [2025-02-16] - Left Sydney and returned to Hunan University to continue pursuing my Ph.D.
π Publications
[2025] A Novel Transmission Line Inspection Method Based on the Shape-Aware Features Refinement Network
π IEEE/ASME Transactions on Mechatronics
π Link to Paper
π Keywords: Unmanned aerial vehicle, transmission line inspection, slender object, feature refinement, feature erasure
[2025] Balancing Accuracy and Efficiency With a Multiscale Uncertainty-Aware Knowledge-Based Network for Transmission Line Inspection
π IEEE Transactions on Industrial Informatics
π Link to Paper
π Keywords: Real-world transmission line inspection, knowledge distillation, uncertainty-aware knowledge, multiscale relationship, unmanned aerial vehicles
[2024] FMSD: Focal Multi-scale Shape-feature Distillation Network for Small Fasteners Detection in Electric Power Scene
π IEEE Transactions on Circuits and Systems for Video Technology
π Link to Paper
π Keywords: Small fastener detection, knowledge distillation, shape-sensitive knowledge, and contour-guided distillation
[2023] PSTL-Net: A Patchwise Self-Texture-Learning Network for Transmission Line Inspection
π IEEE Transactions on Instrumentation and Measurement
π Link to Paper
π Keywords: Smart Grid, Object Detection, Self-Texture Learning, Patch-Aware Spatial Attention, Transmission Line Inspection
[2022] Review on the COVID-19 Pandemic Prevention and Control System Based on AI
π Engineering Applications of Artificial Intelligence
π Link to Paper
π Keywords: Artificial intelligence, COVID-19 big data, Intelligent equipment and systems, Intelligent robots
[2022] Pharmaceutical Foreign Particle Detection: An Efficient Method Based on Adaptive Convolution and Multiscale Attention
π IEEE Transactions on Emerging Topics in Computational Intelligence
π Link to Paper
π Keywords: Automatic detection methods, Computational intelligence algorithms, Adaptive convolution, Multiscale attention, Anchor-free