Wei Xiong

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University of Rochester

Max-sum tests for cross-sectional dependence of high-demensional panel data

We consider a testing problem for cross-sectional dependence for high-di...
07/08/2020 ∙ by Long Feng, et al. ∙ 0 ∙ share

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Image Sentiment Transfer

In this work, we introduce an important but still unexplored research ta...
06/19/2020 ∙ by Tianlang Chen, et al. ∙ 56 ∙ share

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LinksIQ: Robust and Efficient Modulation Recognition with Imperfect Spectrum Scans

While critical for the practical progress of spectrum sharing, modulatio...
05/07/2020 ∙ by Wei Xiong, et al. ∙ 0 ∙ share

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Unsupervised Real-world Low-light Image Enhancement with Decoupled Networks

Conventional learning-based approaches to low-light image enhancement ty...
05/06/2020 ∙ by Wei Xiong, et al. ∙ 9 ∙ share

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Example-Guided Image Synthesis across Arbitrary Scenes using Masked Spatial-Channel Attention and Self-Supervision

Example-guided image synthesis has recently been attempted to synthesize...
04/18/2020 ∙ by Haitian Zheng, et al. ∙ 0 ∙ share

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Decentralized Multi-player Multi-armed Bandits with No Collision Information

The decentralized stochastic multi-player multi-armed bandit (MP-MAB) pr...
02/29/2020 ∙ by Chengshuai Shi, et al. ∙ 0 ∙ share

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Fine-grained Image-to-Image Transformation towards Visual Recognition

Existing image-to-image transformation approaches primarily focus on syn...
01/12/2020 ∙ by Wei Xiong, et al. ∙ 14 ∙ share

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Example-Guided Scene Image Synthesis using Masked Spatial-Channel Attention and Patch-Based Self-Supervision

Example-guided image synthesis has been recently attempted to synthesize...
11/27/2019 ∙ by Haitian Zheng, et al. ∙ 6 ∙ share

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Foreground-aware Image Inpainting

Existing image inpainting methods typically fill holes by borrowing info...
01/17/2019 ∙ by Wei Xiong, et al. ∙ 12 ∙ share

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CariGAN: Caricature Generation through Weakly Paired Adversarial Learning

Caricature generation is an interesting yet challenging task. The primar...
11/01/2018 ∙ by Wenbin Li, et al. ∙ 12 ∙ share

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Learning to Generate Time-Lapse Videos Using Multi-Stage Dynamic Generative Adversarial Networks

Taking a photo outside, can we predict the immediate future, e.g., how w...
09/22/2017 ∙ by Wei Xiong, et al. ∙ 0 ∙ share

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Wei Xiong

Featured Co-authors

Wei Liu

Jiebo Luo

Zhe Lin

Lin Ma

Yang Gao

Jing Yang

Xiaohui Shen

Jimei Yang

Chen Fang

Ding Liu

Haofu Liao

Max-sum tests for cross-sectional dependence of high-demensional panel data

Image Sentiment Transfer

LinksIQ: Robust and Efficient Modulation Recognition with Imperfect Spectrum Scans

Unsupervised Real-world Low-light Image Enhancement with Decoupled Networks

Example-Guided Image Synthesis across Arbitrary Scenes using Masked Spatial-Channel Attention and Self-Supervision

Decentralized Multi-player Multi-armed Bandits with No Collision Information

Fine-grained Image-to-Image Transformation towards Visual Recognition

Example-Guided Scene Image Synthesis using Masked Spatial-Channel Attention and Patch-Based Self-Supervision

Foreground-aware Image Inpainting

CariGAN: Caricature Generation through Weakly Paired Adversarial Learning

Learning to Generate Time-Lapse Videos Using Multi-Stage Dynamic Generative Adversarial Networks