21 citations · 38 across the 6 of their papers we have counts for
6 papers
Global and Local Alignment Networks for Unpaired Image-to-Image Translation
Guanglei Yang, Hao Tang, Humphrey Shi +5
The goal of unpaired image-to-image translation is to produce an output image reflecting the target domain's style while keeping unrelated contents of the input source image unchan…
Bi-Mix: Bidirectional Mixing for Domain Adaptive Nighttime Semantic Segmentation
Guanglei Yang, Zhun Zhong, Hao Tang +3
In autonomous driving, learning a segmentation model that can adapt to various environmental conditions is crucial. In particular, copying with severe illumination changes is an im…
Transformer-Based Source-Free Domain Adaptation
Guanglei Yang, Hao Tang, Zhun Zhong +4
In this paper, we study the task of source-free domain adaptation (SFDA), where the source data are not available during target adaptation. Previous works on SFDA mainly focus on a…
Transformer-Based Attention Networks for Continuous Pixel-Wise Prediction
Guanglei Yang, Hao Tang, Mingli Ding +2
While convolutional neural networks have shown a tremendous impact on various computer vision tasks, they generally demonstrate limitations in explicitly modeling long-range depend…
Variational Structured Attention Networks for Deep Visual Representation Learning
Guanglei Yang, Paolo Rota, Xavier Alameda-Pineda +3
Convolutional neural networks have enabled major progresses in addressing pixel-level prediction tasks such as semantic segmentation, depth estimation, surface normal prediction an…
Bi-Directional Generation for Unsupervised Domain Adaptation
Guanglei Yang, Haifeng Xia, Mingli Ding +1
Unsupervised domain adaptation facilitates the unlabeled target domain relying on well-established source domain information. The conventional methods forcefully reducing the domai…