156 citations · 168 across the 6 of their papers we have counts for
6 papers
Translational Concept Embedding for Generalized Compositional Zero-shot Learning
He Huang, Wei Tang, Jiawei Zhang +1
Generalized compositional zero-shot learning means to learn composed concepts of attribute-object pairs in a zero-shot fashion, where a model is trained on a set of seen concepts a…
Addressing Class Imbalance in Scene Graph Parsing by Learning to Contrast and Score
He Huang, Shunta Saito, Yuta Kikuchi +3
Scene graph parsing aims to detect objects in an image scene and recognize their relations. Recent approaches have achieved high average scores on some popular benchmarks, but fail…
Multi-label Zero-shot Classification by Learning to Transfer from External Knowledge
He Huang, Yuanwei Chen, Wei Tang +4
Multi-label zero-shot classification aims to predict multiple unseen class labels for an input image. It is more challenging than its single-label counterpart. On one hand, the unc…
Generative Dual Adversarial Network for Generalized Zero-shot Learning
He Huang, Changhu Wang, Philip S. Yu +1
This paper studies the problem of generalized zero-shot learning which requires the model to train on image-label pairs from some seen classes and test on the task of classifying n…
dpMood: Exploiting Local and Periodic Typing Dynamics for Personalized Mood Prediction
He Huang, Bokai Cao, Philip S. Yu +2
Mood disorders are common and associated with significant morbidity and mortality. Early diagnosis has the potential to greatly alleviate the burden of mental illness and the ever…
An Introduction to Image Synthesis with Generative Adversarial Nets
He Huang, Philip S. Yu, Changhu Wang
There has been a drastic growth of research in Generative Adversarial Nets (GANs) in the past few years. Proposed in 2014, GAN has been applied to various applications such as comp…