Journal Papers

Oxford Screenshot

Zhi Gao, Mo Shan, and Qingquan Li. Adaptive sparse representation for analyzing artistic style of paintings. Journal on Computing and Cultural Heritage (JOCCH) 8.4 (2015): 22.

[Paper]

Conference Papers

Oxford Screenshot

M. Shan, Q. Feng, N. Atanasov. (2020). OrcVIO: Object residual constrained Visual-Inertial Odometry. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas.

[Project] [Paper] [Presentation video] [Slides] [Code]

Oxford Screenshot

Q. Feng, Y. Meng, M. Shan, N. Atanasov. (2019). Localization and Mapping using Instance-specific Mesh Models. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Macau.

[Paper] [Project]

Oxford Screenshot

Mo Shan, (2019). Weakly supervised keypoint detection. SoCal Robotics Symposium, Caltech.

[Paper] [Poster] [Code]

Oxford Screenshot

Mo Shan, Nikolay Atanasov. (2017). A spatiotemporal model with visual attention for video classification. In Robotics: Science and Systems 2017 Workshop on Articulated Model Tracking.

[Paper] [Poster] [Slides] [Code]

Oxford Screenshot

Mo Shan, Fei Wang, Feng Lin, Zhi Gao, Ya Z. Tang, Ben M. Chen. (2015). Google Map Aided Visual Navigation for UAVs in GPS-denied Environment. In IEEE International Conference on Robotics and Biomimetics (ROBIO). Zhuhai, China.

[Paper] [Poster] [Oral presentation] [Slides] [Demo video] [Dataset] [PaoPao Robot Talk] [Talk Q&A] [Talk Slides] [Preprint]

Oxford Screenshot

Zhi Gao, Loong-Fah Cheong, and Mo Shan. Block-sparse RPCA for consistent foreground detection. Computer Vision–ECCV 2012 (2012): 690-703.

[Paper]