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09/18/2023
Joint Demosaicing and Denoising with Double Deep Image Priors
Demosaicing and denoising of RAW images are crucial steps in the process...
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03/08/2023
Memory-adaptive Depth-wise Heterogenous Federated Learning
Federated learning is a promising paradigm that allows multiple clients ...
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03/07/2023
A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT
Recently, ChatGPT, along with DALL-E-2 and Codex,has been gaining signif...
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12/27/2022
Infusing Definiteness into Randomness: Rethinking Composition Styles for Deep Image Matting
We study the composition style in deep image matting, a notion that char...
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12/06/2022
Tackling Data Heterogeneity in Federated Learning with Class Prototypes
Data heterogeneity across clients in federated learning (FL) settings is...
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01/18/2022
Boosting Robustness of Image Matting with Context Assembling and Strong Data Augmentation
Deep image matting methods have achieved increasingly better results on ...
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11/29/2020
Learning Affinity-Aware Upsampling for Deep Image Matting
We show that learning affinity in upsampling provides an effective and e...
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08/19/2019
In defense of OSVOS
As a milestone for video object segmentation, one-shot video object segm...
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08/02/2019
