activity
20182025
most citedLearning Discriminative Features with Multiple Granularities for Person Re-Identification

1.2k citations · 1.4k across the 17 of their papers we have counts for

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Showing 2018Show all

7 papers · 1 filter

cs.CV2018★ 27 cited

Pixel-Anchor: A Fast Oriented Scene Text Detector with Combined Networks

Yuan Li, Yuanjie Yu, Zefeng Li +4

Recently, semantic segmentation and general object detection frameworks have been widely adopted by scene text detecting tasks. However, both of them alone have obvious shortcoming…

cs.CV2018★ 48 cited

Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification

Yang Fu, Yunchao Wei, Guanshuo Wang +3

Domain adaptation in person re-identification (re-ID) has always been a challenging task. In this work, we explore how to harness the natural similar characteristics existing in th…

cs.SD2018★ 11 cited

An improved hybrid CTC-Attention model for speech recognition

Zhe Yuan, Zhuoran Lyu, Jiwei Li +1

Recently, end-to-end speech recognition with a hybrid model consisting of the connectionist temporal classification(CTC) and the attention encoder-decoder achieved state-of-the-art…

cs.SD2018★ 12 cited

A novel pyramidal-FSMN architecture with lattice-free MMI for speech recognition

Xuerui Yang, Jiwei Li, Xi Zhou

Deep Feedforward Sequential Memory Network (DFSMN) has shown superior performance on speech recognition tasks. Based on this work, we propose a novel network architecture which int…

eess.AS2018★ 1 cited

Cascaded CNN-resBiLSTM-CTC: An End-to-End Acoustic Model For Speech Recognition

Xinpei Zhou, Jiwei Li, Xi Zhou

Automatic speech recognition (ASR) tasks are resolved by end-to-end deep learning models, which benefits us by less preparation of raw data, and easier transformation between langu…

cs.CV2018★ 1.2k cited

Learning Discriminative Features with Multiple Granularities for Person Re-Identification

Guanshuo Wang, Yufeng Yuan, Xiong Chen +2

The combination of global and partial features has been an essential solution to improve discriminative performances in person re-identification (Re-ID) tasks. Previous part-based…

cs.CV2018★ 84 cited

Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network

Yao Feng, Fan Wu, Xiaohu Shao +2

We propose a straightforward method that simultaneously reconstructs the 3D facial structure and provides dense alignment. To achieve this, we design a 2D representation called UV…