activity
20152022
most citedDeep Multimodal Speaker Naming

38 citations · 115 across the 13 of their papers we have counts for

collaborators

29 papers

eess.IV2021

A New Journey from SDRTV to HDRTV

Xiangyu Chen, Zhengwen Zhang, Jimmy S. Ren +3

Nowadays modern displays are capable to render video content with high dynamic range (HDR) and wide color gamut (WCG). However, most available resources are still in standard dynam…

eess.IV2021

NTIRE 2021 Challenge on Perceptual Image Quality Assessment

Jinjin Gu, Haoming Cai, Chao Dong +47

This paper reports on the NTIRE 2021 challenge on perceptual image quality assessment (IQA), held in conjunction with the New Trends in Image Restoration and Enhancement workshop (…

eess.IV2021

Low-Dose CT Denoising Using a Structure-Preserving Kernel Prediction Network

Lu Xu, Yuwei Zhang, Ying Liu +5

Low-dose CT has been a key diagnostic imaging modality to reduce the potential risk of radiation overdose to patient health. Despite recent advances, CNN-based approaches typically…

eess.IV2021

Efficient Deep Image Denoising via Class Specific Convolution

Lu Xu, Jiawei Zhang, Xuanye Cheng +3

Deep neural networks have been widely used in image denoising during the past few years. Even though they achieve great success on this problem, they are computationally inefficien…

eess.IV202031 cited

Image Quality Assessment for Perceptual Image Restoration: A New Dataset, Benchmark and Metric

Jinjin Gu, Haoming Cai, Haoyu Chen +3

Image quality assessment (IQA) is the key factor for the fast development of image restoration (IR) algorithms. The most recent perceptual IR algorithms based on generative adversa…

cs.CV20202 cited

EfficientFCN: Holistically-guided Decoding for Semantic Segmentation

Jianbo Liu, Junjun He, Jiawei Zhang +2

Both performance and efficiency are important to semantic segmentation. State-of-the-art semantic segmentation algorithms are mostly based on dilated Fully Convolutional Networks (…