
AOSLOnet: A deep learningbased method for automatic segmentation of retinal microaneurysms from adaptive optics scanning laser ophthalmoscope images
Adaptive optics scanning laser ophthalmoscopy (AOSLO) provides realtime...
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Securing IoT Devices by Exploiting Backscatter Propagation Signatures
The lowpower radio technologies open up many opportunities to facilitat...
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Weaklysupervised Crossview 3D Human Pose Estimation
Although monocular 3D human pose estimation methods have made significan...
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Reducing Streaming ASR Model Delay with Self Alignment
Reducing prediction delay for streaming endtoend ASR models with minim...
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Twophase image segmentation by the AllenCahn equation and a nonlocal edge detection operator
Based on a nonlocal Laplacian operator, a novel edge detection method of...
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Dissipative and conservative local discontinuous Galerkin methods for the FornbergWhitham type equations
In this paper, we construct high order energy dissipative and conservati...
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Deep Online Correction for Monocular Visual Odometry
In this work, we propose a novel deep online correction (DOC) framework ...
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Efficient Fuzz Testing for Apache Spark Using Framework Abstraction
The emerging dataintensive applications are increasingly dependent on d...
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Rethinking Soft Labels for Knowledge Distillation: A BiasVariance Tradeoff Perspective
Knowledge distillation is an effective approach to leverage a welltrain...
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Survey of the Detection and Classification of Pulmonary Lesions via CT and XRay
In recent years, the prevalence of several pulmonary diseases, especiall...
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Detecting Colluding Sybil Attackers in Robotic Networks using Backscatters
Due to the openness of wireless medium, robotic networks that consist of...
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Matrix optimization based Euclidean embedding with outliers
Euclidean embedding from noisy observations containing outlier errors is...
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ResizeMix: Mixing Data with Preserved Object Information and True Labels
Data augmentation is a powerful technique to increase the diversity of d...
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CausalityAware Neighborhood Methods for Recommender Systems
The business objectives of recommenders, such as increasing sales, are a...
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DataVault: A Data Storage Infrastructure for the Einstein Toolkit
Data sharing is essential in the numerical simulations research. We intr...
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Predicting seasonal influenza using supermarket retail records
Increased availability of epidemiological data, novel digital data strea...
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Condition numbers of the mixed least squarestotal least squares problem: revisited
A new closed formula for the first order perturbation estimate of the mi...
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On Efficient and Robust Metrics for RANSAC Hypotheses and 3D Rigid Registration
This paper focuses on developing efficient and robust evaluation metrics...
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Kernel TwoDimensional Ridge Regression for Subspace Clustering
Subspace clustering methods have been widely studied recently. When the ...
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Transformer Transducer: One Model Unifying Streaming and Nonstreaming Speech Recognition
In this paper we present a TransformerTransducer model architecture and...
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Deep Momentum Uncertainty Hashing
Discrete optimization is one of the most intractable problems in deep ha...
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Forest RCNN: LargeVocabulary LongTailed Object Detection and Instance Segmentation
Despite the previous success of object analysis, detecting and segmentin...
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A family of finite element Stokes complexes in three dimensions
We construct finite element Stokes complexes on tetrahedral meshes in th...
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Curlcurl conforming elements on tetrahedra
In [24], we proposed H(curl^2)conforming elements on both a triangle an...
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Three families of graddivconforming finite elements
Several smooth finite element de Rham complexes are constructed in three...
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SiamParseNet: Joint Body Parsing and Label Propagation in Infant Movement Videos
General movement assessment (GMA) of infant movement videos (IMVs) is an...
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A priori and a posteriori error estimates for the quadcurl eigenvalue problem
In this paper, we propose a new family of H(curl^2)conforming elements ...
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Support Union Recovery in Meta Learning of Gaussian Graphical Models
In this paper we study Meta learning of Gaussian graphical models. In ou...
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FNA++: Fast Network Adaptation via Parameter Remapping and Architecture Search
Deep neural networks achieve remarkable performance in many computer vis...
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Authenticating OnBody IoT Devices: An Adversarial Learning Approach
By adding users as a new dimension to connectivity, onbody Internetof...
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Simple curlcurlconforming finite elements in two dimensions
We construct smooth finite element de Rham complexes in two space dimens...
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Cardiovascular risk and work stress in biomedical researchers in China: An observational, big data study protocol
Introduction: Internet technologies could strengthen data collection and...
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Boundary Guidance Hierarchical Network for RealTime Tongue Segmentation
Automated tongue image segmentation in tongue images is a challenging ta...
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Active Lighting Recurrence by Parallel Lighting Analogy for FineGrained Change Detection
This paper studies a new problem, namely active lighting recurrence (ALR...
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Enabling LowPower OFDM for IoT by Exploiting Asymmetric Clock Rates
The conventional highspeed WiFi has recently become a contender for lo...
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Transformer Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNNT Loss
In this paper we present an endtoend speech recognition model with Tra...
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Fast Neural Network Adaptation via Parameter Remapping and Architecture Search
Deep neural networks achieve remarkable performance in many computer vis...
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CAELO: LiDAR Odometry Leveraging Fully Unsupervised Convolutional AutoEncoder for Interest Point Detection and Feature Description
As an important technology in 3D mapping, autonomous driving, and robot ...
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FasterSeg: Searching for Faster Realtime Semantic Segmentation
We present FasterSeg, an automatically designed semantic segmentation ne...
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AugFPN: Improving Multiscale Feature Learning for Object Detection
Current stateoftheart detectors typically exploit feature pyramid to ...
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Lightweight SybilResilient MultiRobot Networks by Multipath Manipulation
Wireless networking opens up many opportunities to facilitate miniaturiz...
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StateAware Rate Adaptation for UAVs by Incorporating OnBoard Sensors
Nowadays unmanned aerial vehicles (UAVs) are being widely applied to a w...
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VarGFaceNet: An Efficient Variable Group Convolutional Neural Network for Lightweight Face Recognition
To improve the discriminative and generalization ability of lightweight ...
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SensorAugmented Neural Adaptive Bitrate Video Streaming on UAVs
Recent advances in unmanned aerial vehicle (UAV) technology have revolut...
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Improved Mixup with KLEntropy for Learning From Noisy Labels
Despite the deep neural networks (DNN) has achieved excellent performanc...
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Discontinuous Galerkin methods for the OstrovskyVakhnenko equation
In this paper, we develop discontinuous Galerkin (DG) methods for the Os...
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Discontinuous Galerkin methods for short pulse type equations via hodograph transformations
In the present paper, we consider the discontinuous Galerkin (DG) method...
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Improved Hybrid Layered Image Compression using Deep Learning and Traditional Codecs
Recently deep learningbased methods have been applied in image compress...
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VarGNet: Variable Group Convolutional Neural Network for Efficient Embedded Computing
In this paper, we propose a novel network design mechanism for efficient...
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Densely Connected Search Space for More Flexible Neural Architecture Search
In recent years, neural architecture search (NAS) has dramatically advan...
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