activity
20192026
most citedImplicit Transformer Network for Screen Content Image Continuous Super-Resolution

32 citations · 55 across the 32 of their papers we have counts for

collaborators
Showing 2023Show all

8 papers · 1 filter

cs.CV2023

Learning to See Low-Light Images via Feature Domain Adaptation

Qirui Yang, Qihua Cheng, Huanjing Yue +3

Raw low light image enhancement (LLIE) has achieved much better performance than the sRGB domain enhancement methods due to the merits of raw data. However, the ambiguity between n…

cs.CV2023

RISAM: Referring Image Segmentation via Mutual-Aware Attention Features

Mengxi Zhang, Yiming Liu, Xiangjun Yin +2

Referring image segmentation (RIS) aims to segment a particular region based on a language expression prompt. Existing methods incorporate linguistic features into visual features…

cs.CV2023★ 2 cited

Recaptured Raw Screen Image and Video Demoiréing via Channel and Spatial Modulations

Huanjing Yue, Yijia Cheng, Xin Liu +1

Capturing screen contents by smartphone cameras has become a common way for information sharing. However, these images and videos are often degraded by moiré patterns, which are ca…

cs.CV2023★ 1 cited

Multi-scale Promoted Self-adjusting Correlation Learning for Facial Action Unit Detection

Xin Liu, Kaishen Yuan, Xuesong Niu +4

Facial Action Unit (AU) detection is a crucial task in affective computing and social robotics as it helps to identify emotions expressed through facial expressions. Anatomically,…

cs.CV2023★ 1 cited

rPPG-MAE: Self-supervised Pre-training with Masked Autoencoders for Remote Physiological Measurement

Xin Liu, Yuting Zhang, Zitong Yu +3

Remote photoplethysmography (rPPG) is an important technique for perceiving human vital signs, which has received extensive attention. For a long time, researchers have focused on…

cs.CV2023★ 2 cited

RViDeformer: Efficient Raw Video Denoising Transformer with a Larger Benchmark Dataset

Huanjing Yue, Cong Cao, Lei Liao +1

In recent years, raw video denoising has garnered increased attention due to the consistency with the imaging process and well-studied noise modeling in the raw domain. However, tw…

eess.IV2023★ 2 cited

HDR Video Reconstruction with a Large Dynamic Dataset in Raw and sRGB Domains

Huanjing Yue, Yubo Peng, Biting Yu +3

High dynamic range (HDR) video reconstruction is attracting more and more attention due to the superior visual quality compared with those of low dynamic range (LDR) videos. The av…

cs.CV2023★ 1 cited

Unsupervised HDR Image and Video Tone Mapping via Contrastive Learning

Cong Cao, Huanjing Yue, Xin Liu +1

Capturing high dynamic range (HDR) images (videos) is attractive because it can reveal the details in both dark and bright regions. Since the mainstream screens only support low dy…