About
academic profileI am an Assistant Professor at Xi’an Jiaotong-Liverpool University (XJTLU), Department of Communication and Networking. My work spans computer vision, SLAM, and learning-based spatial understanding, with applications in intelligent construction and industrial inspection.
Research Interests
focus areas- Visual SLAM & panoramic (equirectangular) camera geometry
- 3D reconstruction / 3D Gaussian Splatting and spatial computing
- Deep neural networks for detection, tracking, and quality assessment
- Image/video coding, motion modeling, and perception-inspired processing
Teaching
modules- CAN201: Introduction to Networking
- CPT404: Technological Project Management
Projects
selected- 3D Gaussian Splatting Model Based Object Segmentation and Intelligent Measurement for Intelligent Construction (Industry Project, PI, 2025–2027)
- Pathology Slice Analysis Software Based on Deep Learning Models (Industry Project, PI, 2025–2026)
- Low-code framework R&D for research affairs management (SAT fund, PI, 2022–2024)
Selected Publications
highlights- DFF: Sequential Dual-Branch Feature Fusion for Maritime Radar Object Detection and Tracking via Video Processing. Applied Sciences, 2025.
- A Parallel Corpus of Chinese-English Legal Judgments with Argumentative Structure Annotations. Data Intelligence, 2025.
- A Content-Aware Full-Reference Image Quality Assessment Method Using a Gram Matrix and Signal-to-Noise. IEEE Transactions on Broadcasting, 2024.
- Texture plus Depth Video Coding Using Camera Global Motion Information. IEEE Transactions on Multimedia, 2017.
For the full list, please refer to FeiCheng_CV_2022.pdf.
Patents
selected- An exam paper marking aggregation system and method based on random QR code. CN202010417727.5 (Granted, 2024).
- Construction site elevator population counting system and method based on deep neural network. CN202110243399.6 (Granted, 2021).
Contact
reach me- Email: fei.cheng@xjtlu.edu.cn
- Office: Room 216, No. 111 Renai Road, Suzhou, Jiangsu, China