Search Results for author: Yuzhi Wang

Found 7 papers, 5 papers with code

Robust Deep Ensemble Method for Real-world Image Denoising

1 code implementation8 Jun 2022 Pengju Liu, Hongzhi Zhang, Jinghui Wang, Yuzhi Wang, Dongwei Ren, WangMeng Zuo

In particular, we take well-trained CBDNet, NBNet, HINet, Uformer and GMSNet into denoiser pool, and a U-Net is adopted to predict pixel-wise weighting maps to fuse these denoisers.

Deblurring Image Deblurring +5

NBNet: Noise Basis Learning for Image Denoising with Subspace Projection

3 code implementations CVPR 2021 Shen Cheng, Yuzhi Wang, Haibin Huang, Donghao Liu, Haoqiang Fan, Shuaicheng Liu

Subsequently, image denosing can be achieved by selecting corresponding basis of the signal subspace and projecting the input into such space.

Image Denoising SSIM

Practical Deep Raw Image Denoising on Mobile Devices

1 code implementation ECCV 2020 Yuzhi Wang, Haibin Huang, Qin Xu, Jiaming Liu, Yiqun Liu, Jue Wang

Deep learning-based image denoising approaches have been extensively studied in recent years, prevailing in many public benchmark datasets.

Image Denoising

Balanced Quantization: An Effective and Efficient Approach to Quantized Neural Networks

no code implementations22 Jun 2017 Shuchang Zhou, Yuzhi Wang, He Wen, Qinyao He, Yuheng Zou

Overall, our method improves the prediction accuracies of QNNs without introducing extra computation during inference, has negligible impact on training speed, and is applicable to both Convolutional Neural Networks and Recurrent Neural Networks.

Quantization

A Deep Learning Approach for Blind Drift Calibration of Sensor Networks

no code implementations16 Jun 2017 Yuzhi Wang, Anqi Yang, Xiaoming Chen, Pengjun Wang, Yu Wang, Huazhong Yang

Temporal drift of sensory data is a severe problem impacting the data quality of wireless sensor networks (WSNs).

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