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20172026
most citedA Deep Learning based No-reference Quality Assessment Model for UGC Videos

240 citations · 1.3k across the 195 of their papers we have counts for

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Showing 2021Show all

7 papers · 1 filter

eess.IV2021

Implicit Neural Representation Learning for Hyperspectral Image Super-Resolution

Kaiwei Zhang

Hyperspectral image (HSI) super-resolution without additional auxiliary image remains a constant challenge due to its high-dimensional spectral patterns, where learning an effectiv…

cs.CV2021

Self-Conditioned Probabilistic Learning of Video Rescaling

Yuan Tian, Guo Lu, Xiongkuo Min +4

Bicubic downscaling is a prevalent technique used to reduce the video storage burden or to accelerate the downstream processing speed. However, the inverse upscaling step is non-tr…

cs.CV2021★ 1 cited

EAN: Event Adaptive Network for Enhanced Action Recognition

Yuan Tian, Yichao Yan, Guangtao Zhai +2

Efficiently modeling spatial-temporal information in videos is crucial for action recognition. To achieve this goal, state-of-the-art methods typically employ the convolution opera…

cs.CV2021★ 192 cited

No-Reference Quality Assessment for 3D Colored Point Cloud and Mesh Models

Zicheng Zhang, Wei Sun, Xiongkuo Min +3

To improve the viewer's Quality of Experience (QoE) and optimize computer graphics applications, 3D model quality assessment (3D-QA) has become an important task in the multimedia…

cs.IT2021★ 2 cited

QoE Driven VR 360 Video Massive MIMO Transmission

Long Teng, Guangtao Zhai, Yongpeng Wu +4

Massive multiple-input and multiple-output (MIMO) enables ultra-high throughput and low latency for tile-based adaptive virtual reality (VR) 360 video transmission in wireless netw…

eess.IV2021★ 5 cited

Deep Learning based Full-reference and No-reference Quality Assessment Models for Compressed UGC Videos

Wei Sun, Tao Wang, Xiongkuo Min +2

In this paper, we propose a deep learning based video quality assessment (VQA) framework to evaluate the quality of the compressed user's generated content (UGC) videos. The propos…

cs.MM2021★ 165 cited

Blind Quality Assessment for in-the-Wild Images via Hierarchical Feature Fusion and Iterative Mixed Database Training

Wei Sun, Xiongkuo Min, Danyang Tu +2

Image quality assessment (IQA) is very important for both end-users and service providers since a high-quality image can significantly improve the user's quality of experience (QoE…