|
I started my internship at MSRA from this Aug. 2022, working with Jiaolong Yang and Xin Tong. I am a final-year graduate student at ShanghaiTech, working with Prof. Shenghua Gao. Before that, I received my Bachelor's degree from School of Software Engineering, South China University of Technology in 2020. My research interests are in the area of computer vision, graphics and photography. I've been working on neural scene representation, inverse neural rendering and non-line-of-sight imaging. I am also looking for a PhD position in 3D vision and graphics in 2023 (fall). |
|
|
|
|
Binbin Huang, Xinhao Yan, Anpei Chen, Shenghua Gao, Jingyi Yu, ArXiv, 2022 preprint / code |
|
Binbin Huang, Dongze Lian, Weixin Luo, Shenghua Gao IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021 paper / code |
|
|
|
Leading an interdisciplinary project on non-line-of-sight imaging, applications range from autonomous driving, to rescue missions and archaeological exploration. We built a system with TOF cameras and developed a neural rendering solution allowing capturing objects occluded from direct view. I worked with Prof. Jingyi Yu, Prof. Andreas Velton and Prof. Kyros Kutulakos. (2021 Summer ~ 2022 Spring) |
|
|
Developed an algorithm that allows novel view synthesis training in 15 minutes (with only PyTorch implementation) with a small model size of 36 MB. What's more, the learned representation is physically explainable in the frequency domain so various convenient tools exist, such as convolution and differentiation. (2022 Spring ~ 2022 Summer) |
|
|
|
National Scholarship for undergraduate (2018, 2019) Merit Student, SCUT (2018) Outstanding Teaching Assistant, ShanghaiTech (2020) |
|
|
|
Reviewer, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) Teaching Assistant, Computer Vision, Fall 2020, ShanghaiTech University |
|
I stoled the website template from Jon Barron. I also stoled the cv template from Anpei Chen :) latest update: Oct 2022 |