14 citations · 44 across the 10 of their papers we have counts for
4 papers · 1 filter
Learning to Aggregate Multi-Scale Context for Instance Segmentation in Remote Sensing Images
Ye Liu, Huifang Li, Chao Hu +3
The task of instance segmentation in remote sensing images, aiming at performing per-pixel labeling of objects at instance level, is of great importance for various civil applicati…
Learning to Predict Trustworthiness with Steep Slope Loss
Yan Luo, Yongkang Wong, Mohan S. Kankanhalli +1
Understanding the trustworthiness of a prediction yielded by a classifier is critical for the safe and effective use of AI models. Prior efforts have been proven to be reliable on…
Which to Match? Selecting Consistent GT-Proposal Assignment for Pedestrian Detection
Yan Luo, Chongyang Zhang, Muming Zhao +2
Accurate pedestrian classification and localization have received considerable attention due to their wide applications such as security monitoring, autonomous driving, etc. Althou…
Embracing Uncertainty: Decoupling and De-bias for Robust Temporal Grounding
Hao Zhou, Chongyang Zhang, Yan Luo +2
Temporal grounding aims to localize temporal boundaries within untrimmed videos by language queries, but it faces the challenge of two types of inevitable human uncertainties: quer…