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CVIA · Industry & Aerospace Vision Group
Computer Vision for Industry and Aerospace · XDU
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Xidian University · School of Telecommunications Engineering · ISN State Key Lab · Institute of Image Transmission and Processing · CVIA Group
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CVIA stands for Computer Vision for Industry and Aerospace.

The group focuses on machine vision problems arising in aerospace and industrial applications, with sustained work in 3D spatial intelligence, industrial machine vision, intelligent processing of remote-sensing imagery, and image/video compression.

CVIA follows a research philosophy in which problems are distilled from engineering practice and results are validated in real deployment. Through collaborations with institutes under major national organizations and with industrial partners such as Huawei, HONOR, Siemens, Netflix, and Samsung, the group turns engineering pain points into research questions, develops algorithms, and supports system-level deployment.

The team currently consists of six faculty members. We warmly welcome researchers and students who share similar interests to join us and push machine vision innovation forward together.

News / Highlights

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  • news icon2026-03-06 PhD openings are still available for 2026. Students interested in computer vision, image analysis, 3D spatial measurement, or 6D pose estimation are welcome to email Prof. Rui Song or Prof. Jiaojiao Li. During working hours, replies are usually sent within about one hour, and an online meeting can be arranged.
  • news icon2026-03-06 Prof. Jiaojiao Li has one academic PhD opening and two master’s openings for the 2026 intake.
  • news icon2026-02-27 Prof. Rui Song has added one more academic master’s opening for 2026. Interested students are welcome to contact him by email.
  • news icon2026-02-21 Congratulations to PhD student Zhiqiang Liu. His paper Exploring 6D Object Pose Estimation with Deformation has been accepted by CVPR 2026.
  • news icon2026-02-09 Congratulations to PhD student Rong Qi. His paper Leveraging Spatiotemporal Cues for Self-Supervised Stereo Depth Estimation in Endoscopic Videos has been accepted by IEEE Transactions on Medical Imaging.
  • 2025-06-16 Congratulations to master’s student Luyuan Liu. His paper ASMF: A Self-Supervised Atmospheric Scatter Model-Based Fusion Network for Infrared Image Enhancement has been accepted by IEEE Transactions on Geoscience and Remote Sensing.
  • 2025-06-01 Congratulations to Prof. Jiaojiao Li for being recognized among the “World’s Top 2% Scientists."
  • 2025-05-20 Congratulations to Prof. Jiaojiao Li for receiving the ICCSSE 2025 Young Scientist Award.
  • 2025-02-27 Congratulations to master’s student Qingyuan Wang. His paper SCFlow2: Plug-and-Play Object Pose Refiner with Shape-Constraint Scene Flow has been accepted by CVPR 2025.
  • 2023-07-15 Congratulations to master’s student Yang Hai. His paper Pseudo Flow Consistency for Self-Supervised 6D Object Pose Estimation has been accepted by ICCV 2023.
  • 2023-02-28 Congratulations to master’s student Yang Hai. His paper Rigidity-Aware Detection for 6D Object Pose Estimation has been accepted by CVPR 2023.
  • 2023-02-28 Congratulations to master’s student Yang Hai. His paper Shape-Constraint Recurrent Flow for 6D Object Pose Estimation has been accepted by CVPR 2023.
  • 2023-01-17 The team was approved as a 2023 Qinchuangyuan “Scientist + Engineer" team for intelligent aerospace-equipment manufacturing, supporting deployment of 6D pose-estimation algorithms to smart production lines for hazardous-material manufacturing.
  • 2022-11-09 The team won the single-model track of the ECCV BOP Challenge for 6D object pose estimation.
  • 2022-09-05 The team was approved as the  "Shaanxi University Youth Innovation Team."