255 citations · 273 across the 3 of their papers we have counts for
3 papers
cs.DB2021
Approximating Regret Minimizing Sets: A Happiness Perspective
Phoomraphee Luenam, Yau Pun Chen, Raymond Chi-Wing Wong
A Regret Minimizing Set (RMS) is a useful concept in which a smaller subset of a database is selected while mostly preserving the best scores along every possible utility function.…
cs.CV2020★ 18 cited
One-Shot Object Detection without Fine-Tuning
Xiang Li, Lin Zhang, Yau Pun Chen +2
Deep learning has revolutionized object detection thanks to large-scale datasets, but their object categories are still arguably very limited. In this paper, we attempt to enrich s…
cs.CV2019★ 255 cited
FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation
Xiang Li, Tianhan Wei, Yau Pun Chen +2
Over the past few years, we have witnessed the success of deep learning in image recognition thanks to the availability of large-scale human-annotated datasets such as PASCAL VOC,…