Xiaobin Liu

most citedE

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BoWs: An End-to-End Bag-of-Words Model via Deep Convolutional Neural Network

3 citations · 3 across the 1 of their papers we have counts for

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cs.CV2018

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…

cs.CV2017★ 3 cited

E $^{2}$ BoWs: 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…

RAM: A Region-Aware Deep Model for Vehicle Re-Identification

E2BoWs: An End-to-End Bag-of-Words Model via Deep Convolutional Neural Network

E $^{2}$ BoWs: An End-to-End Bag-of-Words Model via Deep Convolutional Neural Network