CVC Researchers at CVPR 2020
CVC researchers have presented a total of 7 papers at this year’s Computer Vision and Pattern Recognition conference (CVPR 2020), the world’s biggest gathering on Computer Vision Science. Like so many events impacted by the COVID-19 pandemic, this year's edition has taken place virtually from June 14 to June 19th. CVC’s presence at CVPR 2020 has been the following: Accepted Papers at CVPR (Main Conference):- Wang, A. González-Garcia, D. Berga, L. Herranz, F. Shahbaz Khan, J. van de Weijer (2020): MineGAN: effective knowledge transfer from GANs to target domains with few images
- Porzi, M. Hofinger, I. Ruiz, J. Serrat, S. Rota Bulò, P. Kontschieder (2020): Learning Multi-Object Tracking and Segmentation from Automatic Annotations
- Oguz Yazici, A. Gonzalez-Garcia, A. Ramisa, B. Twardowski, J. van de Weijer (2020): Orderless Recurrent Models for Multi-label Classification
- Yu, B. Twardowski, X. Liu, L. Herranz, K. Wang, Y. Cheng, S. Jui, J. van de Weijer (2020): Semantic Drift Compensation for Class-Incremental Learning
- Wang, S. Khan, A. Gonzalez-Garcia, J. van de Weijer, F. Shahbaz Khan (2020): Semi-supervised Learning for Few-shot Image-to-Image Translation
- Sudhakaran, S. Escalera, O. Lanz (2020): Gate-Shift Networks for Video Action Recognition