56 citations · 114 across the 11 of their papers we have counts for
17 papers
"Weak AI" is Likely to Never Become "Strong AI", So What is its Greatest Value for us?
Bin Liu
AI has surpassed humans across a variety of tasks such as image classification, playing games (e.g., go, "Starcraft" and poker), and protein structure prediction. However, at the s…
Diverse Semantic Image Synthesis via Probability Distribution Modeling
Zhentao Tan, Menglei Chai, Dongdong Chen +5
Semantic image synthesis, translating semantic layouts to photo-realistic images, is a one-to-many mapping problem. Though impressive progress has been recently made, diverse seman…
Deep Time Delay Neural Network for Speech Enhancement with Full Data Learning
Cunhang Fan, Bin Liu, Jianhua Tao +3
Recurrent neural networks (RNNs) have shown significant improvements in recent years for speech enhancement. However, the model complexity and inference time cost of RNNs are much…
Parametric Instance Classification for Unsupervised Visual Feature Learning
Yue Cao, Zhenda Xie, Bin Liu +3
This paper presents parametric instance classification (PIC) for unsupervised visual feature learning. Unlike the state-of-the-art approaches which do instance discrimination in a…
Multi-Label Sampling based on Local Label Imbalance
Bin Liu, Konstantinos Blekas, Grigorios Tsoumakas
Class imbalance is an inherent characteristic of multi-label data that hinders most multi-label learning methods. One efficient and flexible strategy to deal with this problem is t…
Simultaneous Denoising and Dereverberation Using Deep Embedding Features
Cunhang Fan, Jianhua Tao, Bin Liu +2
Monaural speech dereverberation is a very challenging task because no spatial cues can be used. When the additive noises exist, this task becomes more challenging. In this paper, w…