activity
20182021
most citedGANs-NQM: A Generative Adversarial Networks based No Reference Quality Assessment Metric for RGB-D Synthesized Views

6 citations · 10 across the 4 of their papers we have counts for

collaborators

5 papers

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.AI20204 cited

GPM: A Generic Probabilistic Model to Recover Annotator's Behavior and Ground Truth Labeling

Jing Li, Suiyi Ling, Junle Wang +2

In the big data era, data labeling can be obtained through crowdsourcing. Nevertheless, the obtained labels are generally noisy, unreliable or even adversarial. In this paper, we p…

cs.MM20196 cited

GANs-NQM: A Generative Adversarial Networks based No Reference Quality Assessment Metric for RGB-D Synthesized Views

Suiyi Ling, Jing Li, Junle Wang +1

In this paper, we proposed a no-reference (NR) quality metric for RGB plus image-depth (RGB-D) synthesis images based on Generative Adversarial Networks (GANs), namely GANs-NQM. Du…

cs.LG2018

Hybrid-MST: A Hybrid Active Sampling Strategy for Pairwise Preference Aggregation

Jing Li, Rafal K. Mantiuk, Junle Wang +2

In this paper we present a hybrid active sampling strategy for pairwise preference aggregation, which aims at recovering the underlying rating of the test candidates from sparse an…