1 code implementation • 26 May 2023 • Min Zhao, Rongzhen Wang, Fan Bao, Chongxuan Li, Jun Zhu
This paper presents \emph{ControlVideo} for text-driven video editing -- generating a video that aligns with a given text while preserving the structure of the source video.
1 code implementation • 14 Jul 2022 • Min Zhao, Fan Bao, Chongxuan Li, Jun Zhu
Further, we provide an alternative explanation of the EGSDE as a product of experts, where each of the three experts (corresponding to the SDE and two feature extractors) solely contributes to faithfulness or realism.
Ranked #1 on Image-to-Image Translation on AFHQ (Wild to Dog)
2 code implementations • 30 Sep 2022 • Fan Bao, Min Zhao, Zhongkai Hao, Peiyao Li, Chongxuan Li, Jun Zhu
Inverse molecular design is critical in material science and drug discovery, where the generated molecules should satisfy certain desirable properties.
1 code implementation • 11 Jun 2022 • Jie Chen, Min Zhao, Xiuheng Wang, Cédric Richard, Susanto Rahardja
Spectral unmixing is one of the most important quantitative analysis tasks in hyperspectral data processing.
1 code implementation • 24 Dec 2020 • Min Zhao, Xiuheng Wang, Jie Chen, Wei Chen
Spectral unmixing is a widely used technique in hyperspectral image processing and analysis.
no code implementations • 28 Nov 2017 • Chao Zhao, Min Zhao, Yi Guan
Hypernym identification of open-domain entities is crucial for taxonomy construction as well as many higher-level applications.
no code implementations • 20 Sep 2017 • Chao Zhao, Min Zhao, Yi Guan
In this study, we constructed the user interest hierarchy via user profiles.
no code implementations • 22 Jul 2013 • Min Zhao, Andre G. Marquez
Navigating through a visual maze relies on the strategic use of eye movements to select and identify the route.
no code implementations • 22 Feb 2019 • Min Zhao, Jie Chen, Zhe He
To the best of our knowledge, this dataset is the first publicly available dataset created in a systematic manner with ground-truth for spectral unmixing.
no code implementations • ICLR 2020 • Mingwei Zhu, Min Zhao, Min Yao, Ruipeng Guo
In the industrial field, the positron annihilation is not affected by complex environment, and the gamma-ray photon penetration is strong, so the nondestructive detection of industrial parts can be realized.
no code implementations • 21 Jul 2020 • Jingbo Zhou, Zhenwei Tang, Min Zhao, Xiang Ge, Fuzhen Zhuang, Meng Zhou, Liming Zou, Chenglei Yang, Hui Xiong
A mobile app interface usually consists of a set of user interface modules.
no code implementations • 9 Oct 2020 • Min Zhao, Tiande Gao, Jie Chen, Wei Chen
In our work, we propose an NMF based unmixing framework which jointly uses a handcrafting regularizer and a learnt regularizer from data.
no code implementations • 30 Apr 2019 • Min Zhao, Mou Wang, Jie Chen, Susanto Rahardja
This paper presents an unsupervised nonlinear spectral unmixing method based on a deep autoencoder network that applies to a generalized linear-mixture/nonlinear fluctuation model, consisting of a linear mixture component and an additive nonlinear mixture component that depends on both endmembers and abundances.
no code implementations • 21 Feb 2021 • Yijiang Lian, Yubo Liu, Zhicong Ye, Liang Yuan, Yanfeng Zhu, Min Zhao, Jianyi Cheng, Xinwei Feng
This framework has been successfully applied to Baidu's sponsored search system, which yields a significant improvement in revenue.
no code implementations • 7 Aug 2022 • Fubao Zhu, Guojie Wang, Chen Zhao, Saurabh Malhotra, Min Zhao, Zhuo He, Jianzhou Shi, Zhixin Jiang, Weihua Zhou
Five-fold cross-validation with 180 stress and 201 rest MPIs was used for training and internal validation; the remaining images were used for testing.
no code implementations • 1 Jul 2023 • Min Zhao, Jie Chen, Nicolas Dobigeon
In this way, both the characteristics of the deep autoencoder based unmixing methods and priors provided by denoisers are merged into our well-designed framework to enhance the unmixing performance.
no code implementations • 29 Jun 2023 • Min Zhao, Nicolas Dobigeon, Jie Chen
More precisely, the regularization is conceived as a deep generative network able to encode spatial semantic features contained in this auxiliary image of high spatial resolution.