1 code implementation • ECCV 2020 • Kenkun Liu, Rongqi Ding, Zhiming Zou, Le Wang, Wei Tang
The objective of this paper is to have a comprehensive and systematic study of weight sharing in GCNs for 3D HPE.
no code implementations • 25 Apr 2024 • Jiamin Wu, Kenkun Liu, Han Gao, Xiaoke Jiang, Lei Zhang
By harnessing the benefits of 3D Gaussians, our approach offers an efficient and accurate solution for 3D reconstruction from single-view images.
no code implementations • 5 Dec 2023 • Zhangyang Xiong, Chenghong Li, Kenkun Liu, Hongjie Liao, Jianqiao Hu, Junyi Zhu, Shuliang Ning, Lingteng Qiu, Chongjie Wang, Shijie Wang, Shuguang Cui, Xiaoguang Han
In this era, the success of large language models and text-to-image models can be attributed to the driving force of large-scale datasets.
no code implementations • 25 Nov 2022 • Kun Zhou, Kenkun Liu, Wenbo Li, Xiaoguang Han, Jiangbo Lu
To address those issues, we propose a novel mutual guidance network (MGN) to perform effective bidirectional global-local information exchange while keeping a compact architecture.
no code implementations • CVPR 2022 • Lingteng Qiu, Zhangyang Xiong, Xuhao Wang, Kenkun Liu, Yihan Li, GuanYing Chen, Xiaoguang Han, Shuguang Cui
Inspired by the fact that X-ray has a strong penetrating power to see through the bag and overlapping objects, we propose to perform waste inspection efficiently using X-ray images without the need to open the bag.