Mo Shan, Vikas Dhiman, Qiaojun Feng, Jinzhao Li and Nikolay Atanasov. OrcVIO: Object residual constrained Visual Inertial Odometry. arXiv preprint.

[Project] [Paper]

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]

M. Shan, Q. Feng, Y. JAU, N. Atanasov. (2021). ELLIPSDF: Joint Object Pose and Shape Optimization with a Bi-level Ellipsoid and Signed Distance Function Description. In IEEE/RSJ International Conference on Computer Vision (ICCV). Montreal, Canada.

[Paper] [Poster] [Presentation]

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, USA.

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

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, China.

[Project] [Paper]

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

[Paper] [Poster] [Code]

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. MIT, USA.

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

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]

Zhi Gao, Loong-Fah Cheong, and Mo Shan. (2012). Block-sparse RPCA for consistent foreground detection. In IEEE European Conference on Computer Vision (ECCV). Florence, Italy.

[Paper]