2 code implementations • 11 Apr 2024 • Weiyu Sun, Xinyu Zhang, Hao Lu, Ying Chen, Yun Ge, Xiaolin Huang, Jie Yuan, Yingcong Chen
Remote photoplethysmography (rPPG) technology has become increasingly popular due to its non-invasive monitoring of various physiological indicators, making it widely applicable in multimedia interaction, healthcare, and emotion analysis.
2 code implementations • 10 Apr 2024 • Hao Lu, Jiaqi Tang, Xinli Xu, Xu Cao, Yunpeng Zhang, Guoqing Wang, Dalong Du, Hao Chen, Yingcong Chen
Finally, for MC3D-Det joint training, the elaborate dataset merge strategy is designed to solve the problem of inconsistent camera numbers and camera parameters.
no code implementations • 29 Mar 2024 • Luozhou Wang, Guibao Shen, Yixun Liang, Xin Tao, Pengfei Wan, Di Zhang, Yijun Li, Yingcong Chen
In this research, we present a novel approach to motion customization in video generation, addressing the widespread gap in the thorough exploration of motion representation within video generative models.
no code implementations • 14 Mar 2024 • Tianshuo Xu, Peng Mi, Ruilin Wang, Yingcong Chen
In this paper, we start with a consistency phenomenon of DMs: we observe that DMs with different initializations or even different architectures can produce very similar outputs given the same noise inputs, which is rare in other generative models.
1 code implementation • 11 Mar 2024 • Yuting Zhang, Hao Lu, Xin Liu, Yingcong Chen, Kaishun Wu
Remote photoplethysmography (rPPG) is a promising technology that captures physiological signals from face videos, with potential applications in medical health, emotional computing, and biosecurity recognition.
2 code implementations • 9 Mar 2024 • Hao Lu, Xuesong Niu, Jiyao Wang, Yin Wang, Qingyong Hu, Jiaqi Tang, Yuting Zhang, Kaishen Yuan, Bin Huang, Zitong Yu, Dengbo He, Shuiguang Deng, Hao Chen, Yingcong Chen, Shiguang Shan
In conclusion, this paper provides valuable insights into the potential applications and challenges of MLLMs in human-centric computing.
1 code implementation • 19 Nov 2023 • Yixun Liang, Xin Yang, Jiantao Lin, Haodong Li, Xiaogang Xu, Yingcong Chen
The recent advancements in text-to-3D generation mark a significant milestone in generative models, unlocking new possibilities for creating imaginative 3D assets across various real-world scenarios.
no code implementations • 9 Nov 2023 • Xinyu Zhang, Weiyu Sun, Hao Lu, Ying Chen, Yun Ge, Xiaolin Huang, Jie Yuan, Yingcong Chen
In this paper, we propose a Self-Similarity Prior Distillation (SSPD) framework for unsupervised rPPG estimation, which capitalizes on the intrinsic self-similarity of cardiac activities.
no code implementations • 26 Oct 2023 • Shuai Yang, Zhifei Chen, Pengguang Chen, Xi Fang, Shu Liu, Yingcong Chen
Defect inspection is paramount within the closed-loop manufacturing system.
1 code implementation • 17 Oct 2023 • Hao Lu, Yunpeng Zhang, Qing Lian, Dalong Du, Yingcong Chen
In our approach, we render diverse view maps from BEV features and rectify the perspective bias of these maps, leveraging implicit foreground volumes to bridge the camera and BEV planes.
1 code implementation • 5 Oct 2023 • Shuai Yang, Yukang Chen, Luozhou Wang, Shu Liu, Yingcong Chen
Denoising Diffusion Probabilistic Models (DDPMs) have garnered popularity for data generation across various domains.
no code implementations • 18 Apr 2023 • Zhiyuan Yan, Min Li, Zhengyuan Shi, Wenjie Zhang, Yingcong Chen, Hongce Zhang
Boolean satisfiability problem (SAT) is fundamental to many applications.
no code implementations • 19 Mar 2023 • Yixun Liang, Hao He, Shishi Xiao, Hao Lu, Yingcong Chen
In this paper, we propose a principled approach that supports learning from heterogeneous datasets with different label sets.
1 code implementation • CVPR 2023 • Hao Lu, Zitong Yu, Xuesong Niu, Yingcong Chen
We show that most domain generalization methods do not work well in this problem, as domain labels are ambiguous in complicated environmental changes.
no code implementations • 6 Jan 2023 • ShangSheng Wen, Ziyang Ge, Danlan Yuan, Yingcong Chen, Xuecong Fang
Pedestrian dead-reckoning (PDR) is a potential indoor localization technology that obtains location estimation with the inertial measurement unit (IMU).
1 code implementation • ICCV 2023 • Xin Yang, Xiaogang Xu, Yingcong Chen
In this paper, we propose a novel framework that enhances the fidelity of human face inversion by designing a new module to decompose the input images to ID and OOD partitions with invertibility masks.
1 code implementation • 20 Jul 2022 • Xin Lai, Zhuotao Tian, Xiaogang Xu, Yingcong Chen, Shu Liu, Hengshuang Zhao, LiWei Wang, Jiaya Jia
Unsupervised domain adaptation in semantic segmentation has been raised to alleviate the reliance on expensive pixel-wise annotations.
1 code implementation • 8 Mar 2022 • Di Chang, Aljaž Božič, Tong Zhang, Qingsong Yan, Yingcong Chen, Sabine Süsstrunk, Matthias Nießner
Finding accurate correspondences among different views is the Achilles' heel of unsupervised Multi-View Stereo (MVS).
no code implementations • 13 Mar 2020 • Lu Qi, Yi Wang, Yukang Chen, Yingcong Chen, Xiangyu Zhang, Jian Sun, Jiaya Jia
In this paper, we explore the mask representation in instance segmentation with Point-of-Interest (PoI) features.