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20182022
most citedAmbiguity of Objective Image Quality Metrics: A New Methodology for Performance Evaluation

10 citations · 48 across the 16 of their papers we have counts for

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6 papers · 1 filter

cs.CV20223 cited

Utility-Oriented Underwater Image Quality Assessment Based on Transfer Learning

Weiling Chen, Rongfu Lin, Honggang Liao +3

The widespread image applications have greatly promoted the vision-based tasks, in which the Image Quality Assessment (IQA) technique has become an increasingly significant issue.…

cs.CV2021

Considering user agreement in learning to predict the aesthetic quality

Suiyi Ling, Andreas Pastor, Junle Wang +1

How to robustly rank the aesthetic quality of given images has been a long-standing ill-posed topic. Such challenge stems mainly from the diverse subjective opinions of different o…

cs.CV2021

Subjective and Objective Quality Assessment of Mobile Gaming Video

Shaoguo Wen, Suiyi Ling, Junle Wang +4

Nowadays, with the vigorous expansion and development of gaming video streaming techniques and services, the expectation of users, especially the mobile phone users, for higher qua…

cs.CV2021

Multi-Modal Aesthetic Assessment for MObile Gaming Image

Zhenyu Lei, Yejing Xie, Suiyi Ling +3

With the proliferation of various gaming technology, services, game styles, and platforms, multi-dimensional aesthetic assessment of the gaming contents is becoming more and more i…

cs.CV2020

Few-Shot Object Detection in Real Life: Case Study on Auto-Harvest

Kevin Riou, Jingwen Zhu, Suiyi Ling +3

Confinement during COVID-19 has caused serious effects on agriculture all over the world. As one of the efficient solutions, mechanical harvest/auto-harvest that is based on object…

cs.CV20196 cited

Adversarial Attacks against Deep Saliency Models

Zhaohui Che, Ali Borji, Guangtao Zhai +3

Currently, a plethora of saliency models based on deep neural networks have led great breakthroughs in many complex high-level vision tasks (e.g. scene description, object detectio…