no code implementations • 4 Sep 2023 • Jiacong Xu, Riley Kilfoyle, Zixiang Xiong, Ligang Lu
In this paper, we propose a communication-efficient time series forecasting model combining the most recent advancements in transformer architectures implemented across a geographically dispersed series of EV charging stations and an efficient variant of federated learning (FL) to enable distributed training.
5 code implementations • CVPR 2023 • Jiacong Xu, Zixiang Xiong, Shankar P. Bhattacharyya
To alleviate this problem, we propose a novel three-branch network architecture: PIDNet, which contains three branches to parse detailed, context and boundary information, respectively, and employs boundary attention to guide the fusion of detailed and context branches.
Ranked #1 on Real-Time Semantic Segmentation on CamVid
no code implementations • 19 Feb 2022 • Wei Liu, Rui Jiang, Cheng Chen, Tao Lu, Zixiang Xiong
The former consists of parallel rain removal path and rain-fog feature extraction path by the rain and derain-fog network and the attention rain-fog feature extraction network (ARFE) , while the latter only contains a synthetic rain transformation path.
no code implementations • 19 Feb 2022 • Wei Liu, Cheng Chen, Rui Jiang, Tao Lu, Zixiang Xiong
To address these issues, we develop a novel generative adversarial network, called quad-path cycle consistent adversarial network (QPC-Net), for single image defogging.
1 code implementation • 26 Mar 2020 • Yuda Qiu, Zhangyang Xiong, Kai Han, Zhongyuan Wang, Zixiang Xiong, Xiaoguang Han
To alleviate this problem, we propose a weakly supervised training approach to train our model on real face videos, based on the assumption of consistency of albedo and normal across different frames, thus bridging the gap between real and synthetic face images.
1 code implementation • ECCV 2020 • Lingteng Qiu, Xuanye Zhang, Yan-ran Li, Guanbin Li, Xiao-Jun Wu, Zixiang Xiong, Xiaoguang Han, Shuguang Cui
Although occlusion widely exists in nature and remains a fundamental challenge for pose estimation, existing heatmap-based approaches suffer serious degradation on occlusions.
3 code implementations • 18 Oct 2019 • Bin Zhang, Shenyao Jin, Yili Xia, Yongming Huang, Zixiang Xiong
Deep learning based image denoising methods have been extensively investigated.
no code implementations • CVPR 2019 • Xiaoguang Han, Zhaoxuan Zhang, Dong Du, Mingdai Yang, Jingming Yu, Pan Pan, Xin Yang, Ligang Liu, Zixiang Xiong, Shuguang Cui
Given a single depth image, our method first goes through the 3D volume branch to obtain a volumetric scene reconstruction as a guide to the next view inpainting step, which attempts to make up the missing information; the third step involves projecting the volume under the same view of the input, concatenating them to complete the current view depth, and integrating all depth into the point cloud.
no code implementations • 18 Jan 2019 • Zizheng Yan, Xiaoguang Han, Changmiao Wang, Yuda Qiu, Zixiang Xiong, Shuguang Cui
Due to high-resolution and small-size lesion regions, applying existing methods, such as U-Nets, to perform segmentation on fundus photography is very challenging.