3 citations · 5 across the 4 of their papers we have counts for
4 papers
Factor Decomposed Generative Adversarial Networks for Text-to-Image Synthesis
Jiguo Li, Xiaobin Liu, Lirong Zheng
Prior works about text-to-image synthesis typically concatenated the sentence embedding with the noise vector, while the sentence embedding and the noise vector are two different f…
Time-frequency Network for Robust Speaker Recognition
Jiguo Li, Tianzi Zhang, Xiaobin Liu +1
The wide deployment of speech-based biometric systems usually demands high-performance speaker recognition algorithms. However, most of the prior works for speaker recognition eith…
RAM: A Region-Aware Deep Model for Vehicle Re-Identification
Xiaobin Liu, Shiliang Zhang, Qingming Huang +1
Previous works on vehicle Re-ID mainly focus on extracting global features and learning distance metrics. Because some vehicles commonly share same model and maker, it is hard to d…
EBoWs: An End-to-End Bag-of-Words Model via Deep Convolutional Neural Network
Xiaobin Liu, Shiliang Zhang, Tiejun Huang +1
Traditional Bag-of-visual Words (BoWs) model is commonly generated with many steps including local feature extraction, codebook generation, and feature quantization, etc. Those ste…