no code implementations • ECCV 2020 • Yating Wang, Quan Wang, Feng Xu
A complete 3D face reconstruction requires to explicitly model the eyeglasses on the face, which is less investigated in the literature.
no code implementations • 29 May 2024 • Runfeng Lin, Dacheng Xu, Huijiang Wang, Zebiao Chen, Yating Wang, Shouqiang Liu
When evaluating a learner's knowledge proficiency, the multiple-choice question is an efficient and widely used format in standardized tests.
no code implementations • 24 Apr 2024 • Teng Hu, Jiangning Zhang, Ran Yi, Yating Wang, Hongrui Huang, Jieyu Weng, Yabiao Wang, Lizhuang Ma
Furthermore, we propose a few-shot camera motion disentanglement method to extract the common camera motion from multiple videos with similar camera motions, which employs a window-based clustering technique to extract the common features in temporal attention maps of multiple videos.
no code implementations • 8 Apr 2024 • Yating Wang, Ran Yi, Ke Fan, Jinkun Hao, Jiangbo Lu, Lizhuang Ma
Our goal is to leverage the superiority of neural volume rendering into multi-view reconstruction of face mesh with consistent topology.
no code implementations • 21 Mar 2024 • Fan Wang, Yating Wang, Wing Tat Leung, Zongben Xu
Multiscale problems can usually be approximated through numerical homogenization by an equation with some effective parameters that can capture the macroscopic behavior of the original system on the coarse grid to speed up the simulation.
no code implementations • 4 Feb 2024 • Haoyi Zhu, Yating Wang, Di Huang, Weicai Ye, Wanli Ouyang, Tong He
These outcomes suggest that the 3D point cloud is a valuable observation modality for intricate robotic tasks.
no code implementations • 24 Jul 2022 • Yating Wang, Wing Tat Leung, Guang Lin
In this work, we propose an adaptive sparse learning algorithm that can be applied to learn the physical processes and obtain a sparse representation of the solution given a large snapshot space.
no code implementations • 3 Oct 2020 • Yating Wang, Wei Deng, Guang Lin
The bias introduced by stochastic approximation is controllable and can be analyzed theoretically.
no code implementations • 29 Jun 2020 • Yating Wang, Wei Deng, Lin Guang
The algorithm utilizes a set of spike-and-slab priors for the parameters in the deep neural network.
1 code implementation • 14 Dec 2019 • Lu Xu, Yating Wang
In recent years, artificial intelligence (AI) has aroused much attention among both industrial and academic areas.
Distributed, Parallel, and Cluster Computing
1 code implementation • 22 Jul 2019 • Yating Wang, Guang Lin
In particular, for the flow problem, we design a network with convolutional and locally connected layers to perform model reductions.
Numerical Analysis Numerical Analysis
1 code implementation • 1 Mar 2019 • Lu Xu, Jinhai Xiang, Yating Wang, Fuchuan Ni
In recent years, voice knowledge sharing and question answering (Q&A) platforms have attracted much attention, which greatly facilitate the knowledge acquisition for people.
no code implementations • 13 Jun 2018 • Yating Wang, Siu Wun Cheung, Eric T. Chung, Yalchin Efendiev, Min Wang
Numerical results show that using deep learning and multiscale models, we can improve the forward models, which are conditioned to the available data.