10 citations · 51 across the 19 of their papers we have counts for
7 papers · 1 filter
Visualizing Transferred Knowledge: An Interpretive Model of Unsupervised Domain Adaptation
Wenxiao Xiao, Zhengming Ding, Hongfu Liu
Many research efforts have been committed to unsupervised domain adaptation (DA) problems that transfer knowledge learned from a labeled source domain to an unlabeled target domain…
Zero-Knowledge Zero-Shot Learning for Novel Visual Category Discovery
Zhaonan Li, Hongfu Liu
Generalized Zero-Shot Learning (GZSL) and Open-Set Recognition (OSR) are two mainstream settings that greatly extend conventional visual object recognition. However, the limitation…
Learnable Visual Words for Interpretable Image Recognition
Wenxiao Xiao, Zhengming Ding, Hongfu Liu
To interpret deep models' predictions, attention-based visual cues are widely used in addressing \textit{why} deep models make such predictions. Beyond that, the current research c…
Label-invariant Augmentation for Semi-Supervised Graph Classification
Han Yue, Chunhui Zhang, Chuxu Zhang +1
Recently, contrastiveness-based augmentation surges a new climax in the computer vision domain, where some operations, including rotation, crop, and flip, combined with dedicated a…
SelfDoc: Self-Supervised Document Representation Learning
Peizhao Li, Jiuxiang Gu, Jason Kuen +5
We propose SelfDoc, a task-agnostic pre-training framework for document image understanding. Because documents are multimodal and are intended for sequential reading, our framework…
Mining Label Distribution Drift in Unsupervised Domain Adaptation
Peizhao Li, Zhengming Ding, Hongfu Liu
Unsupervised domain adaptation targets to transfer task-related knowledge from labeled source domain to unlabeled target domain. Although tremendous efforts have been made to minim…
Spatially Constrained GAN for Face and Fashion Synthesis
Songyao Jiang, Hongfu Liu, Yue Wu +1
Image generation has raised tremendous attention in both academic and industrial areas, especially for the conditional and target-oriented image generation, such as criminal portra…