1 citations · 1 across the 4 of their papers we have counts for
4 papers
ReliableTableQA:How Much Supervision Does Reliability Annotation Need?
Huei-Chung Hu, Hsin-Tai Wu, Koyo Kobayashi
We introduce ReliableTableQA, a framework for training an LLM to annotate the statistical reliability of tabular QA results, not whether the query is answerable, but whether the co…
CLERF: Contrastive LEaRning for Full Range Head Pose Estimation
Ting-Ruen Wei, Haowei Liu, Huei-Chung Hu +3
We introduce a novel framework for representation learning in head pose estimation (HPE). Previously such a scheme was difficult due to head pose data sparsity, making triplet samp…
Full-range Head Pose Geometric Data Augmentations
Huei-Chung Hu, Xuyang Wu, Haowei Liu +2
Many head pose estimation (HPE) methods promise the ability to create full-range datasets, theoretically allowing the estimation of the rotation and positioning of the head from va…
Mathematical Foundation and Corrections for Full Range Head Pose Estimation
Huei-Chung Hu, Xuyang Wu, Yuan Wang +2
Numerous works concerning head pose estimation (HPE) offer algorithms or proposed neural network-based approaches for extracting Euler angles from either facial key points or direc…