most citedAutomated classification of stems and leaves of potted plants based on point cloud data

4 citations · 10 across the 8 of their papers we have counts for

collaborators

12 papers

cs.CV20202 cited

Multi-Modal Active Learning for Automatic Liver Fibrosis Diagnosis based on Ultrasound Shear Wave Elastography

Lufei Gao, Ruisong Zhou, Changfeng Dong +4

With the development of radiomics, noninvasive diagnosis like ultrasound (US) imaging plays a very important role in automatic liver fibrosis diagnosis (ALFD). Due to the noisy dat…

cs.CV20202 cited

Where to Look and How to Describe: Fashion Image Retrieval with an Attentional Heterogeneous Bilinear Network

Haibo Su, Peng Wang, Lingqiao Liu +3

Fashion products typically feature in compositions of a variety of styles at different clothing parts. In order to distinguish images of different fashion products, we need to extr…

cs.CV20201 cited

UXNet: Searching Multi-level Feature Aggregation for 3D Medical Image Segmentation

Yuanfeng Ji, Ruimao Zhang, Zhen Li +3

Aggregating multi-level feature representation plays a critical role in achieving robust volumetric medical image segmentation, which is important for the auxiliary diagnosis and t…

cs.CV2020

IllumiNet: Transferring Illumination from Planar Surfaces to Virtual Objects in Augmented Reality

Di Xu, Zhen Li, Yanning Zhang +1

This paper presents an illumination estimation method for virtual objects in real environment by learning. While previous works tackled this problem by reconstructing high dynamic…

astro-ph.IM20201 cited

A Redistribution Tool for Long-Term Archive of Astronomical Observation Data

Chao Sun, Ce Yu, Chenzhou Cui +5

Astronomical observation data require long-term preservation, and the rapid accumulation of observation data makes it necessary to consider the cost of long-term archive storage. I…

cs.CV2020

A Robust Attentional Framework for License Plate Recognition in the Wild

Linjiang Zhang, Peng Wang, Hui Li +3

Recognizing car license plates in natural scene images is an important yet still challenging task in realistic applications. Many existing approaches perform well for license plate…