216 citations · 560 across the 31 of their papers we have counts for
13 papers · 1 filter
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…
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…
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…
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…
Diagnosing Concept Drift with Visual Analytics
Weikai Yang, Zhen Li, Mengchen Liu +4
Concept drift is a phenomenon in which the distribution of a data stream changes over time in unforeseen ways, causing prediction models built on historical data to become inaccura…
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…
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…
Exemplar Normalization for Learning Deep Representation
Ruimao Zhang, Zhanglin Peng, Lingyun Wu +2
Normalization techniques are important in different advanced neural networks and different tasks. This work investigates a novel dynamic learning-to-normalize (L2N) problem by prop…
PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling
Xu Yan, Chaoda Zheng, Zhen Li +2
Raw point clouds data inevitably contains outliers or noise through acquisition from 3D sensors or reconstruction algorithms. In this paper, we present a novel end-to-end network f…
Automated classification of stems and leaves of potted plants based on point cloud data
Zichu Liu, Qing Zhang, Pei Wang +2
The accurate classification of plant organs is a key step in monitoring the growing status and physiology of plants. A classification method was proposed to classify the leaves and…
Design and Control of a Variable Aerial Cable Towed System
Zhen Li, Julian Erskine, Stéphane Caro +1
Aerial Cable Towed Systems (ACTS) are composed of several Unmanned Aerial Vehicles (UAVs) connected to a payload by cables. Compared to towing objects from individual aerial vehicl…
BARNet: Bilinear Attention Network with Adaptive Receptive Fields for Surgical Instrument Segmentation
Zhen-Liang Ni, Gui-Bin Bian, Guan-An Wang +5
Surgical instrument segmentation is extremely important for computer-assisted surgery. Different from common object segmentation, it is more challenging due to the large illuminati…
VulDeeLocator: A Deep Learning-based Fine-grained Vulnerability Detector
Zhen Li, Deqing Zou, Shouhuai Xu +3
Automatically detecting software vulnerabilities is an important problem that has attracted much attention from the academic research community. However, existing vulnerability det…