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20182026
most citedDiagnose like a Radiologist: Attention Guided Convolutional Neural Network for Thorax Disease Classification

243 citations · 251 across the 7 of their papers we have counts for

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10 papers · 1 filter

cs.CV2026

Dual Feature Decoupling for Fine-Grained OOD Detection

Xiaokun Li, Yaping Huang, Qingji Guan

Out-of-distribution detection (OOD) is an indispensable technique when applying machine learning models to real-world scenarios. Most existing OOD detection methods have been devel…

cs.CV2026

Enhancing Gaze Reasoning in Vision Foundation Models for Gaze Following

Shijing Wang, Yaping Huang, Chaoqun Cui +4

Gaze following requires both scene understanding and gaze reasoning to localize the gaze target of an in-scene person. Recently, vision foundation models (VFMs) have demonstrated s…

cs.CV20237 cited

The Treasure Beneath Multiple Annotations: An Uncertainty-aware Edge Detector

Caixia Zhou, Yaping Huang, Mengyang Pu +3

Deep learning-based edge detectors heavily rely on pixel-wise labels which are often provided by multiple annotators. Existing methods fuse multiple annotations using a simple voti…

cs.CV20223 cited

EDTER: Edge Detection with Transformer

Mengyang Pu, Yaping Huang, Yuming Liu +2

Convolutional neural networks have made significant progresses in edge detection by progressively exploring the context and semantic features. However, local details are gradually…

cs.CV2021

RINDNet: Edge Detection for Discontinuity in Reflectance, Illumination, Normal and Depth

Mengyang Pu, Yaping Huang, Qingji Guan +1

As a fundamental building block in computer vision, edges can be categorised into four types according to the discontinuity in surface-Reflectance, Illumination, surface-Normal or…

cs.CV20211 cited

Transform consistency for learning with noisy labels

Rumeng Yi, Yaping Huang

It is crucial to distinguish mislabeled samples for dealing with noisy labels. Previous methods such as Coteaching and JoCoR introduce two different networks to select clean sample…