activity
20172023
most citedDSAL: Deeply Supervised Active Learning from Strong and Weak Labelers for Biomedical Image Segmentation

88 citations · 570 across the 27 of their papers we have counts for

collaborators
Showing 2019Show all

6 papers · 1 filter

cs.CV2019★ 6 cited

Ordered or Orderless: A Revisit for Video based Person Re-Identification

Le Zhang, Zenglin Shi, Joey Tianyi Zhou +5

Is recurrent network really necessary for learning a good visual representation for video based person re-identification (VPRe-id)? In this paper, we first show that the common pra…

cs.CV2019★ 2 cited

FaultNet: Faulty Rail-Valves Detection using Deep Learning and Computer Vision

Ramanpreet Singh Pahwa, Jin Chao, Jestine Paul +7

Regular inspection of rail valves and engines is an important task to ensure the safety and efficiency of railway networks around the globe. Over the past decade, computer vision a…

eess.IV2019★ 1 cited

Cribriform pattern detection in prostate histopathological images using deep learning models

Malay Singh, Emarene Mationg Kalaw, Wang Jie +7

Architecture, size, and shape of glands are most important patterns used by pathologists for assessment of cancer malignancy in prostate histopathological tissue slides. Varying st…

cs.CV2019★ 1 cited

Robust Regression via Deep Negative Correlation Learning

Le Zhang, Zenglin Shi, Ming-Ming Cheng +5

Nonlinear regression has been extensively employed in many computer vision problems (e.g., crowd counting, age estimation, affective computing). Under the umbrella of deep learning…

cs.CV2019★ 1 cited

A Deep Framework for Bone Age Assessment based on Finger Joint Localization

Xiaoman Zhang, Ziyuan Zhao, Cen Chen +6

Bone age assessment is an important clinical trial to measure skeletal child maturity and diagnose of growth disorders. Conventional approaches such as the Tanner-Whitehouse (TW) a…

cs.CV2019★ 18 cited

Semi-Supervised Self-Taught Deep Learning for Finger Bones Segmentation

Ziyuan Zhao, Xiaoman Zhang, Cen Chen +6

Segmentation stands at the forefront of many high-level vision tasks. In this study, we focus on segmenting finger bones within a newly introduced semi-supervised self-taught deep…