Publications

Zongmian Li, “Estimating 3D motion and forces from monocular videos”, PhD thesis of PSL University prepared at École normale supérieure, 2023.

Zongmian Li, Jiri Sedlar, Justin Carpentier, Ivan Laptev, Nicolas Mansard, and Josef Sivic. “Estimating 3D Motion and Forces of Human-Object Interactions from Internet Videos.” International Journal of Computer Vision 130, no. 2 (2022): 363-383.

Zongmian Li, Jiri Sedlar, Justin Carpentier, Ivan Laptev, Nicolas Mansard, and Josef Sivic. “Estimating 3D motion and forces of person-object interactions from monocular video.” In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR’19), pp. 8640-8649. 2019 (Oral, best paper finalist).

Zongze Li, Pengcheng Mu, Zongmian Li, Hui-Ming Wang, Weile Zhang, and Tong-Xing Zheng. “Nonadaptive transmission for slow fading misose wiretap channel with adjustable power allocation.” In 2017 IEEE Global Communications Conference, pp. 1-6. IEEE, 2017.

Zongmian Li, Pengcheng Mu, Bo Wang, and Xiaoyan Hu. “Optimal semiadaptive transmission with artificial-noise-aided beamforming in MISO wiretap channels.” IEEE Transactions on Vehicular Technology, 65, no. 9 (2015): 7021-7035.

Zongmian Li, Pengcheng Mu, Zongze Li, Xiaoyan Hu, and Hui-Ming Wang. “Semi-Adaptive Transmission in Slow Fading MISOME Wiretap Channels.” In 2015 IEEE Globecom Workshops, pp. 1-6. IEEE, 2015.

Zongmian Li, Pengcheng Mu, Bo Wang, and Xiaoyan Hu. “Practical transmission scheme with fixed communication rate under constraints of transmit power and secrecy outage probability.” IEEE Communications Letters, 19, no. 6 (2015): 1057-1060.