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20162022
most citedPredicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge

331 citations · 1.9k across the 20 of their papers we have counts for

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Showing 2016 · cs.CVShow all

5 papers · 2 filters

cs.CV2016★ 23 cited

End-to-End Subtitle Detection and Recognition for Videos in East Asian Languages via CNN Ensemble with Near-Human-Level Performance

Yan Xu, Siyuan Shan, Ziming Qiu +5

In this paper, we propose an innovative end-to-end subtitle detection and recognition system for videos in East Asian languages. Our end-to-end system consists of multiple stages.…

cs.CV2016

Learning Multi-level Features For Sensor-based Human Action Recognition

Yan Xu, Zhengyang Shen, Xin Zhang +5

This paper proposes a multi-level feature learning framework for human action recognition using a single body-worn inertial sensor. The framework consists of three phases, respecti…

cs.CV2016★ 184 cited

Gland Instance Segmentation Using Deep Multichannel Neural Networks

Yan Xu, Yang Li, Yipei Wang +4

Objective: A new image instance segmentation method is proposed to segment individual glands (instances) in colon histology images. This process is challenging since the glands not…

cs.CV2016★ 10 cited

Gland Instance Segmentation by Deep Multichannel Neural Networks

Yan Xu, Yang Li, Mingyuan Liu +4

In this paper, we propose a new image instance segmentation method that segments individual glands (instances) in colon histology images. This is a task called instance segmentatio…

cs.CV2016

Gland Instance Segmentation by Deep Multichannel Side Supervision

Yan Xu, Yang Li, Mingyuan Liu +3

In this paper, we propose a new image instance segmentation method that segments individual glands (instances) in colon histology images. This is a task called instance segmentatio…