22 citations · 57 across the 4 of their papers we have counts for
4 papers
Learning Robust Features with Incremental Auto-Encoders
Yanan Li, Donghui Wang
Automatically learning features, especially robust features, has attracted much attention in the machine learning community. In this paper, we propose a new method to learn non-lin…
Zero-Shot Learning with Generative Latent Prototype Model
Yanan Li, Donghui Wang
Zero-shot learning, which studies the problem of object classification for categories for which we have no training examples, is gaining increasing attention from community. Most e…
Zero-Shot Recognition using Dual Visual-Semantic Mapping Paths
Yanan Li, Donghui Wang, Huanhang Hu +2
Zero-shot recognition aims to accurately recognize objects of unseen classes by using a shared visual-semantic mapping between the image feature space and the semantic embedding sp…
Task-driven Visual Saliency and Attention-based Visual Question Answering
Yuetan Lin, Zhangyang Pang, Donghui Wang +1
Visual question answering (VQA) has witnessed great progress since May, 2015 as a classic problem unifying visual and textual data into a system. Many enlightening VQA works explor…