6 citations · 20 across the 7 of their papers we have counts for
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cs.AI2020★ 6 cited
Strategy for Boosting Pair Comparison and Improving Quality Assessment Accuracy
Suiyi Ling, Jing Li, Anne Flore Perrin +3
The development of rigorous quality assessment model relies on the collection of reliable subjective data, where the perceived quality of visual multimedia is rated by the human ob…
cs.AI2020★ 4 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…