no code implementations • 25 Nov 2021 • Fei Yang, Yaxing Wang, Luis Herranz, Yongmei Cheng, Mikhail Mozerov
Thus, we further propose a unified framework that allows both translation and autoencoding capabilities in a single codec.
no code implementations • 19 Aug 2021 • Shun Yao, Fei Yang, Yongmei Cheng, Mikhail G. Mozerov
We propose Local Geometry Code Learning (LGCL), a model that improves the original DeepSDF results by learning from a local shape geometry of the full 3D shape.
1 code implementation • CVPR 2021 • Fei Yang, Luis Herranz, Yongmei Cheng, Mikhail G. Mozerov
Neural image compression leverages deep neural networks to outperform traditional image codecs in rate-distortion performance.
2 code implementations • CVPR 2020 • Lu Yu, Bartłomiej Twardowski, Xialei Liu, Luis Herranz, Kai Wang, Yongmei Cheng, Shangling Jui, Joost Van de Weijer
The vast majority of methods have studied this scenario for classification networks, where for each new task the classification layer of the network must be augmented with additional weights to make room for the newly added classes.
1 code implementation • CVPR 2019 • Lu Yu, Vacit Oguz Yazici, Xialei Liu, Joost Van de Weijer, Yongmei Cheng, Arnau Ramisa
In this paper, we propose to use network distillation to efficiently compute image embeddings with small networks.
1 code implementation • 11 May 2018 • Lu Yu, Yongmei Cheng, Joost Van de Weijer
The attention branch is used to modulate the pixel-wise color naming predictions of the network.