most citedStableVQA: A Deep No-Reference Quality Assessment Model for Video Stability

25 citations · 61 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CV2023

FLAME-based Multi-View 3D Face Reconstruction

Wenzhuo Zheng, Junhao Zhao, Xiaohong Liu +4

At present, face 3D reconstruction has broad application prospects in various fields, but the research on it is still in the development stage. In this paper, we hope to achieve be…

cs.CV2023

AccFlow: Backward Accumulation for Long-Range Optical Flow

Guangyang Wu, Xiaohong Liu, Kunming Luo +6

Recent deep learning-based optical flow estimators have exhibited impressive performance in generating local flows between consecutive frames. However, the estimation of long-range…

cs.CV202320 cited

FastLLVE: Real-Time Low-Light Video Enhancement with Intensity-Aware Lookup Table

Wenhao Li, Guangyang Wu, Wenyi Wang +2

Low-Light Video Enhancement (LLVE) has received considerable attention in recent years. One of the critical requirements of LLVE is inter-frame brightness consistency, which is ess…

cs.CV202325 cited

StableVQA: A Deep No-Reference Quality Assessment Model for Video Stability

Tengchuan Kou, Xiaohong Liu, Wei Sun +4

Video shakiness is an unpleasant distortion of User Generated Content (UGC) videos, which is usually caused by the unstable hold of cameras. In recent years, many video stabilizati…

eess.IV2023

RAWIW: RAW Image Watermarking Robust to ISP Pipeline

Kang Fu, Xiaohong Liu, Jun Jia +4

Invisible image watermarking is essential for image copyright protection. Compared to RGB images, RAW format images use a higher dynamic range to capture the radiometric characteri…

cs.CV20232 cited

NTIRE 2023 Quality Assessment of Video Enhancement Challenge

Xiaohong Liu, Xiongkuo Min, Wei Sun +69

This paper reports on the NTIRE 2023 Quality Assessment of Video Enhancement Challenge, which will be held in conjunction with the New Trends in Image Restoration and Enhancement W…