no code implementations • ICCV 2021 • Mo Shan, Qiaojun Feng, You-Yi Jau, Nikolay Atanasov
It is compact because it relies on a low-dimensional latent representation of implicit object shape, allowing onboard storage of large multi-category object maps.
no code implementations • 8 Mar 2021 • Qiaojun Feng, Yue Meng, Mo Shan, Nikolay Atanasov
We show that the errors between projections of the mesh model and the observed keypoints and masks can be differentiated in order to obtain accurate instance-specific object shapes.
4 code implementations • 29 Jul 2020 • Mo Shan, Vikas Dhiman, Qiaojun Feng, Jinzhao Li, Nikolay Atanasov
Introducing object-level semantic information into simultaneous localization and mapping (SLAM) system is critical.
no code implementations • 7 Jul 2017 • Mo Shan, Nikolay Atanasov
The superiority of the proposed spatiotemporal model is demonstrated on the Moving MNIST dataset augmented with rotation and scaling.
no code implementations • 29 Mar 2017 • Mo Shan, Fei Wang, Feng Lin, Zhi Gao, Ya Z. Tang, Ben M. Chen
We propose a framework for Google Map aided UAV navigation in GPS-denied environment.