activity
20192022
most citedSimultaneously-Collected Multimodal Lying Pose Dataset: Towards In-Bed Human Pose Monitoring under Adverse Vision Conditions

16 citations · 27 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2022

From WSI-level to Patch-level: Structure Prior Guided Binuclear Cell Fine-grained Detection

Baomin Wang, Geng Hu, Dan Chen +5

Accurately and quickly binuclear cell (BC) detection plays a significant role in predicting the risk of leukemia and other malignant tumors. However, manual microscopy counting is…

cs.CV2021

VIL-100: A New Dataset and A Baseline Model for Video Instance Lane Detection

Yujun Zhang, Lei Zhu, Wei Feng +5

Lane detection plays a key role in autonomous driving. While car cameras always take streaming videos on the way, current lane detection works mainly focus on individual images (fr…

cs.CV2021★ 6 cited

2rd Place Solutions in the HC-STVG track of Person in Context Challenge 2021

YiYu, XinyingWang, WeiHu +2

In this technical report, we present our solution to localize a spatio-temporal person in an untrimmed video based on a sentence. We achieve the second vIOU(0.30025) in the HC-STVG…

cs.LG2021

Supervised Learning in the Presence of Noise: Application in ICD-10 Code Classification

Youngwoo Kim, Cheng Li, Bingyang Ye +2

ICD coding is the international standard for capturing and reporting health conditions and diagnosis for revenue cycle management in healthcare. Manually assigning ICD codes is pro…

cs.CV2020★ 16 cited

Simultaneously-Collected Multimodal Lying Pose Dataset: Towards In-Bed Human Pose Monitoring under Adverse Vision Conditions

Shuangjun Liu, Xiaofei Huang, Nihang Fu +3

Computer vision (CV) has achieved great success in interpreting semantic meanings from images, yet CV algorithms can be brittle for tasks with adverse vision conditions and the one…

cs.CV2020★ 1 cited

Towards in-store multi-person tracking using head detection and track heatmaps

Aibek Musaev, Jiangping Wang, Liang Zhu +6

Computer vision algorithms are being implemented across a breadth of industries to enable technological innovations. In this paper, we study the problem of computer vision based cu…