1 code implementation • 1 Jul 2022 • Naiyuan Liu, Xiaohan Wang, Xiaobo Li, Yi Yang, Yueting Zhuang
In this report, we present the ReLER@ZJU-Alibaba submission to the Ego4D Natural Language Queries (NLQ) Challenge in CVPR 2022.
Ranked #3 on Natural Language Queries on Ego4D
no code implementations • 29 Sep 2021 • Xuanhong Chen, Kairui Feng, Naiyuan Liu, Yifan Lu, Bingbing Ni, Ziang Liu, Maofeng Liu
Spatial precipitation downscaling is one of the most important meteorological problems.
1 code implementation • 21 Dec 2020 • Xuanhong Chen, Ziang Liu, Ting Qiu, Bingbing Ni, Naiyuan Liu, XiWei Hu, Yuhan Li
Extensive experiments well demonstrate the effectiveness and feasibility of our framework in different image-translation tasks.
1 code implementation • 17 Dec 2020 • Xuanhong Chen, Kairui Feng, Naiyuan Liu, Bingbing Ni, Yifan Lu, Zhengyan Tong, Ziang Liu
To alleviate these obstacles, we present the first large-scale spatial precipitation downscaling dataset named RainNet, which contains more than $62, 400$ pairs of high-quality low/high-resolution precipitation maps for over $17$ years, ready to help the evolution of deep learning models in precipitation downscaling.
1 code implementation • ECCV 2020 • Xuanhong Chen, Bingbing Ni, Naiyuan Liu, Ziang Liu, Yiliu Jiang, Loc Truong, Qi Tian
In contrast to great success of memory-consuming face editing methods at a low resolution, to manipulate high-resolution (HR) facial images, i. e., typically larger than 7682 pixels, with very limited memory is still challenging.
1 code implementation • 16 Oct 2020 • Xuanhong Chen, Xirui Yan, Naiyuan Liu, Ting Qiu, Bingbing Ni
Furthermore, the results are with distinctive artistic style and retain the anisotropic semantic information.