no code implementations • 6 Apr 2024 • Jingyi Pan, Zipeng Wang, Lin Wang
However, multi-modal semantic occupancy prediction approaches have encountered difficulties in dealing with the modality heterogeneity, modality misalignment, and insufficient modality interactions that arise during the fusion of different modalities data, which may result in the loss of important geometric and semantic information.
no code implementations • 18 Jan 2024 • Zipeng Wang, Xuehui Yu, Xumeng Han, Wenwen Yu, Zhixun Huang, Jianbin Jiao, Zhenjun Han
Nevertheless, weakly supervised semantic segmentation methods are proficient in utilizing intra-class feature consistency to capture the boundary contours of the same semantic regions.
1 code implementation • CVPR 2023 • Yunfan Lu, Zipeng Wang, Minjie Liu, Hongjian Wang, Lin Wang
In addition, we collect a real-world dataset with spatially aligned events and RGB frames.
1 code implementation • 7 Dec 2019 • Zipeng Wang, Eric W. Jones, Joshua M. Mueller, Jean M. Carlson
We focus on a gLV model of the gut microbiome, in which the evolution of the gut microbial state is determined in part by pairwise inter-species interaction parameters that encode environmentally-mediated resource competition between microbes.
no code implementations • 11 Sep 2019 • Zipeng Wang, Zhaoxiang Liu, Jianfeng Huang, Shiguo Lian, Yimin Lin
We present a novel framework to generate images of different age while preserving identity information, which is known as face aging.
no code implementations • 20 Aug 2019 • Zipeng Wang, Zhaoxiang Liu, Zezhou Chen, Huan Hu, Shiguo Lian
This paper presents a novel framework to generate realistic face video of an anchor, who is reading certain news.
no code implementations • 19 Aug 2019 • Zhaoxiang Liu, Huan Hu, Zipeng Wang, Kai Wang, Jinqiang Bai, Shiguo Lian
This paper presents a generative adversarial learning-based human upper body video synthesis approach to generate an upper body video of target person that is consistent with the body motion, face expression, and pose of the person in source video.