publications

2023

1. Self-training transformer for source-free domain adaptation

   Guanglei Yang, Zhun Zhong, Mingli Ding, Nicu Sebe, and Elisa Ricci

   APIN, 2023

   Bib

   @article{yang2023self,
     title = {Self-training transformer for source-free domain adaptation},
     author = {Yang, Guanglei and Zhong, Zhun and Ding, Mingli and Sebe, Nicu and Ricci, Elisa},
     journal = {APIN},
     volume = {53},
     number = {13},
     pages = {16560--16574},
     year = {2023},
     publisher = {Springer}
   }

2022

1. Uncertainty-aware contrastive distillation for incremental semantic segmentation

   Guanglei Yang, Enrico Fini, Dan Xu, Paolo Rota, Mingli Ding, Moin Nabi, Xavier Alameda-Pineda, and 1 more author

   TPAMI, 2022

   Bib

   @article{yang2022uncertainty,
     title = {Uncertainty-aware contrastive distillation for incremental semantic segmentation},
     author = {Yang, Guanglei and Fini, Enrico and Xu, Dan and Rota, Paolo and Ding, Mingli and Nabi, Moin and Alameda-Pineda, Xavier and Ricci, Elisa},
     journal = {TPAMI},
     volume = {45},
     number = {2},
     pages = {2567--2581},
     year = {2022},
     publisher = {IEEE}
   }

2. Bi-directional class-wise adversaries for unsupervised domain adaptation

   Guanglei Yang, Mingli Ding, and Yongqiang Zhang

   APIN, 2022

   Bib

   @article{yang2022bi,
     title = {Bi-directional class-wise adversaries for unsupervised domain adaptation},
     author = {Yang, Guanglei and Ding, Mingli and Zhang, Yongqiang},
     journal = {APIN},
     pages = {1--17},
     year = {2022},
     publisher = {Springer}
   }

3. Continual attentive fusion for incremental learning in semantic segmentation

   Guanglei Yang, Enrico Fini, Dan Xu, Paolo Rota, Mingli Ding, Tang Hao, Xavier Alameda-Pineda, and 1 more author

   TMM, 2022

   Bib

   @article{yang2022continual,
     title = {Continual attentive fusion for incremental learning in semantic segmentation},
     author = {Yang, Guanglei and Fini, Enrico and Xu, Dan and Rota, Paolo and Ding, Mingli and Hao, Tang and Alameda-Pineda, Xavier and Ricci, Elisa},
     journal = {TMM},
     year = {2022},
     publisher = {IEEE}
   }

4. Variational structured attention networks for deep visual representation learning

   Guanglei Yang, Paolo Rota, Xavier Alameda-Pineda, Dan Xu, Mingli Ding, and Elisa Ricci

   TIP, 2022

   Bib

   @article{yang2022variational,
     title = {Variational structured attention networks for deep visual representation learning},
     author = {Yang, Guanglei and Rota, Paolo and Alameda-Pineda, Xavier and Xu, Dan and Ding, Mingli and Ricci, Elisa},
     journal = {TIP},
     year = {2022},
     publisher = {IEEE}
   }

2021

1. Transformer-based attention networks for continuous pixel-wise prediction

   Guanglei Yang, Hao Tang, Mingli Ding, Nicu Sebe, and Elisa Ricci

   In ICCV, 2021

   Bib

   @inproceedings{yang2021transformer,
     title = {Transformer-based attention networks for continuous pixel-wise prediction},
     author = {Yang, Guanglei and Tang, Hao and Ding, Mingli and Sebe, Nicu and Ricci, Elisa},
     booktitle = {ICCV},
     pages = {16269--16279},
     year = {2021}
   }

2020

1. Bi-Directional Generation for Unsupervised Domain Adaptation.

   Guanglei Yang, Haifeng Xia, Mingli Ding, and Zhengming Ding

   In AAAI , 2020

   Bib

   @inproceedings{yang2020bi,
     title = {Bi-Directional Generation for Unsupervised Domain Adaptation.},
     author = {Yang, Guanglei and Xia, Haifeng and Ding, Mingli and Ding, Zhengming},
     booktitle = { AAAI },
     pages = {6615--6622},
     year = {2020}
   }