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CVIA · Industry & Aerospace Vision Group
Computer Vision for Industry and Aerospace · XDU
Faculty Profile

李娇娇 · Jiaojiao Li

Core faculty member of CVIA, focusing on intelligent interpretation of remote-sensing imagery, multispectral / hyperspectral processing, and selected 3D vision problems.

李娇娇 · Jiaojiao Li
Professor · Huashan Distinguished Professor · National Young Talent

Xidian University · School of Telecommunications Engineering

National Young Talent · PhD Advisor

Email: jjli@ynyjxx.cn

Office: B201, Old Science Building · Tel: +86-29-88202607

Remote-sensing interpretationMultispectral / hyperspectralDeep learning and pattern recognition3D vision
Profile Summary

Core faculty member of CVIA, focusing on intelligent interpretation of remote-sensing imagery, multispectral / hyperspectral processing, and selected 3D vision problems.

This page extends the group-level navigation with faculty-level information so visitors can browse research, projects, publications, teaching, and openings in a continuous way.

Page roleFaculty subpage under the CVIA website
FocusResearch, projects, publications, teaching and openings
News
  • One academic PhD opening and two master’s openings are available for the 2026 intake. Students interested in remote-sensing interpretation, multispectral / hyperspectral analysis, and 3D vision are welcome to get in touch.
  • The group achieved world-champion results in the ICCV 2023 and ECCV 2022 6D pose challenges.
  • The group also won world first place in the CVPR NTIRE spectral reconstruction challenge in 2020 and world third place in 2022.

Research & Output

Research Interests

Her research spans intelligent quality enhancement and precise interpretation for remote-sensing and vision imagery, including classification, segmentation, spectral reconstruction, multimodal fusion, target detection, and data generation, together with depth estimation, pose estimation, point-cloud semantic segmentation, and point-cloud completion in 3D vision.

The work emphasizes building high-quality perception models from visible, multispectral, and hyperspectral remote-sensing data, while also connecting to computational imaging and robotics-related techniques.

Research Results & Applications

Research Results & Applications

Remote-sensing interpretation and spectral reconstruction

Remote-Sensing Interpretation and Spectral Reconstruction

Her group has continuously worked on quality enhancement, spectral reconstruction, classification, segmentation, and multimodal fusion for visible, multispectral, and hyperspectral remote-sensing data, while balancing model accuracy and scene adaptability.

3D vision and challenge achievements

Extensions to 3D Vision and Challenge Achievements

The group extends pose estimation, point-cloud completion, and 3D vision methods to remote-sensing and robotics-related tasks, and has achieved multiple representative results in international challenges.

Projects

Projects & Research Programs
  • She has led or participated in more than 30 projects, including the National Science and Technology Innovation 2030 major initiative on next-generation AI, national key R&D tasks, and NSFC projects.
  • The group maintains a sustained research agenda in remote-sensing image enhancement, spectral reconstruction, multimodal fusion, target detection, and data generation.
  • 3D vision methods are further extended to depth estimation, pose estimation, semantic segmentation of point clouds, and point-cloud completion, with strong cross-fertilization between remote sensing and 3D understanding.

Publications

Selected Publications & Output
Overall output
She has published more than 80 journal and conference papers as first or corresponding author, including more than 60 SCI papers in top CAS tiers.
High-impact papers and IP
Her output includes 12 ESI Highly Cited Papers, 1 ESI Hot Paper, and 11 granted invention patents.
Vision challenge results
World champion in the ICCV 2023 6D pose challenge and world champion in the ECCV 2022 6D pose challenge.
Spectral reconstruction challenge results
World champion in the CVPR NTIRE spectral reconstruction track in 2020 and world third place in 2022.
Full Publication List

All Publications (Placeholder)

Computer Vision, 3D Vision, and 6D Pose Estimation

  • Standard citation-format papers related to 3D vision and 6D pose estimation can be added here later.
  • Entries may be continuously expanded in standard format with authors, title, venue, and year.

Intelligent Processing of Remote-Sensing Imagery

  • Standard citation-format papers related to remote sensing, multispectral / hyperspectral processing, spectral reconstruction, and multimodal fusion can be added here later.
  • The list can be organized compactly by venue type or by year.

Teaching

Teaching & Student Training
Graduate training
Students are systematically trained in remote-sensing interpretation, spectral reconstruction, multimodal fusion, 3D vision, and academic paper writing.
Academic service
She serves as AE for IEEE Access and JARS, acts as an IGARSS Session Chair, and contributes to editorial work for Remote Sensing.
Research training
Highly motivated undergraduates are welcome to join the lab early and participate in academic and engineering research.

Openings

Openings

According to the current public information, Prof. Li has one academic PhD opening and two master’s openings for the 2026 intake. Highly motivated undergraduates are also welcome to join the lab early for research training.

  • Please include your CV, transcripts, and any prior research or competition experience in your email.
  • Students interested in remote-sensing interpretation, multispectral / hyperspectral processing, spectral reconstruction, multimodal fusion, and 3D vision are especially welcome.
  • You may also describe the specific research directions you hope to work on.