28 citations · 66 across the 3 of their papers we have counts for
3 papers
cs.CV2019★ 28 cited
Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog
Zhe Gan, Yu Cheng, Ahmed El Kholy +3
This paper presents a new model for visual dialog, Recurrent Dual Attention Network (ReDAN), using multi-step reasoning to answer a series of questions about an image. In each ques…
cs.LG2019★ 20 cited
Few-shot Learning with Meta Metric Learners
Yu Cheng, Mo Yu, Xiaoxiao Guo +1
Few-shot Learning aims to learn classifiers for new classes with only a few training examples per class. Existing meta-learning or metric-learning based few-shot learning approache…
cs.LG2016★ 18 cited
Generative Adversarial Networks as Variational Training of Energy Based Models
Shuangfei Zhai, Yu Cheng, Rogerio Feris +1
In this paper, we study deep generative models for effective unsupervised learning. We propose VGAN, which works by minimizing a variational lower bound of the negative log likelih…