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09/17/2023
Deep Neighbor Layer Aggregation for Lightweight Self-Supervised Monocular Depth Estimation
With the frequent use of self-supervised monocular depth estimation in r...
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09/09/2023
RR-CP: Reliable-Region-Based Conformal Prediction for Trustworthy Medical Image Classification
Conformal prediction (CP) generates a set of predictions for a given tes...
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08/26/2023
SamDSK: Combining Segment Anything Model with Domain-Specific Knowledge for Semi-Supervised Learning in Medical Image Segmentation
The Segment Anything Model (SAM) exhibits a capability to segment a wide...
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08/14/2023
A Unified Query-based Paradigm for Camouflaged Instance Segmentation
Due to the high similarity between camouflaged instances and the backgro...
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06/29/2023
Synthetic Demographic Data Generation for Card Fraud Detection Using GANs
Using machine learning models to generate synthetic data has become comm...
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06/23/2023
Segmentation and Tracking of Vegetable Plants by Exploiting Vegetable Shape Feature for Precision Spray of Agricultural Robots
With the increasing deployment of agricultural robots, the traditional m...
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05/16/2023
Mechanism design for the end-to-end deterministic transmissions with decoupled time domains
This paper proposes an innovative end-to-end deterministic network mecha...
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04/23/2023
IDLL: Inverse Depth Line based Visual Localization in Challenging Environments
Precise and real-time localization of unmanned aerial vehicles (UAVs) or...
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04/23/2023
AirBirds: A Large-scale Challenging Dataset for Bird Strike Prevention in Real-world Airports
One fundamental limitation to the research of bird strike prevention is ...
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04/20/2023
Video-based Contrastive Learning on Decision Trees: from Action Recognition to Autism Diagnosis
How can we teach a computer to recognize 10,000 different actions? Deep ...
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04/11/2023
CamDiff: Camouflage Image Augmentation via Diffusion Model
The burgeoning field of camouflaged object detection (COD) seeks to iden...
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03/26/2023
Feature Shrinkage Pyramid for Camouflaged Object Detection with Transformers
Vision transformers have recently shown strong global context modeling c...
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03/24/2023
AI-Generated 6G Internet Design: A Diffusion Model-based Learning Approach
The 6G Internet poses intense demands for intelligent and customized des...
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03/18/2023
Detect influential points of feature rankings
Background Deriving feature rankings is essential in bioinformatics stud...
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03/15/2023
Bi-directional Distribution Alignment for Transductive Zero-Shot Learning
It is well-known that zero-shot learning (ZSL) can suffer severely from ...
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03/14/2023
Blockchain Based Spectrum Sharing
Spectrum sharing has long been considered as method to improve spectrum ...
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03/07/2023
Toward NeuroDM: Where Computational Neuroscience Meets Data Mining
At the intersection of computational neuroscience (CN) and data mining (...
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03/07/2023
Toward a Geometric Theory of Manifold Untangling
It has been hypothesized that the ventral stream processing for object r...
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03/03/2023
Towards Domain Generalization for Multi-view 3D Object Detection in Bird-Eye-View
Multi-view 3D object detection (MV3D-Det) in Bird-Eye-View (BEV) has dra...
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02/21/2023
DasFormer: Deep Alternating Spectrogram Transformer for Multi/Single-Channel Speech Separation
For the task of speech separation, previous study usually treats multi-c...
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02/20/2023
Dynamic Graph Neural Network with Adaptive Edge Attributes for Air Quality Predictions
Air quality prediction is a typical spatio-temporal modeling problem, wh...
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02/02/2023
Deep-Learning Tool for Early Identifying Non-Traumatic Intracranial Hemorrhage Etiology based on CT Scan
Background: To develop an artificial intelligence system that can accura...
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01/30/2023
CHeart: A Conditional Spatio-Temporal Generative Model for Cardiac Anatomy
Two key questions in cardiac image analysis are to assess the anatomy an...
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12/23/2022
EndoBoost: a plug-and-play module for false positive suppression during computer-aided polyp detection in real-world colonoscopy (with dataset)
The advance of computer-aided detection systems using deep learning open...
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12/10/2022
Source-free Depth for Object Pop-out
Depth cues are known to be useful for visual perception. However, direct...
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11/24/2022
Tracking Dataset IP Use in Deep Neural Networks
Training highly performant deep neural networks (DNNs) typically require...
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11/24/2022
Real-Time Marker Localization Learning for GelStereo Tactile Sensing
Visuotactile sensing technology is becoming more popular in tactile sens...
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11/17/2022
DETRDistill: A Universal Knowledge Distillation Framework for DETR-families
Transformer-based detectors (DETRs) have attracted great attention due t...
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11/11/2022
Joint Deep Learning for Improved Myocardial Scar Detection from Cardiac MRI
Automated identification of myocardial scar from late gadolinium enhance...
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11/11/2022
Multitask Learning for Improved Late Mechanical Activation Detection of Heart from Cine DENSE MRI
The selection of an optimal pacing site, which is ideally scar-free and ...
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10/17/2022
Reconstruction Attack on Differential Private Trajectory Protection Mechanisms
Location trajectories collected by smartphones and other devices represe...
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08/28/2022
Generative Modelling of the Ageing Heart with Cross-Sectional Imaging and Clinical Data
Cardiovascular disease, the leading cause of death globally, is an age-r...
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07/04/2022
TANet: Transformer-based Asymmetric Network for RGB-D Salient Object Detection
Existing RGB-D SOD methods mainly rely on a symmetric two-stream CNN-bas...
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07/03/2022
Trichomonas Vaginalis Segmentation in Microscope Images
Trichomoniasis is a common infectious disease with high incidence caused...
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07/02/2022
Boundary-Guided Camouflaged Object Detection
Camouflaged object detection (COD), segmenting objects that are elegantl...
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06/02/2022
Suggestive Annotation of Brain MR Images with Gradient-guided Sampling
Machine learning has been widely adopted for medical image analysis in r...
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05/20/2022
Understanding and Mitigating the Uncertainty in Zero-Shot Translation
Zero-shot translation is a promising direction for building a comprehens...
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05/11/2022
DcnnGrasp: Towards Accurate Grasp Pattern Recognition with Adaptive Regularizer Learning
The task of grasp pattern recognition aims to derive the applicable gras...
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05/05/2022
InvNorm: Domain Generalization for Object Detection in Gastrointestinal Endoscopy
Domain Generalization is a challenging topic in computer vision, especia...
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04/23/2022
Long-term Spatio-temporal Forecasting via Dynamic Multiple-Graph Attention
Many real-world ubiquitous applications, such as parking recommendations...
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04/20/2022
Attention in Attention: Modeling Context Correlation for Efficient Video Classification
Attention mechanisms have significantly boosted the performance of video...
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04/17/2022
Synthetic Distracted Driving (SynDD1) dataset for analyzing distracted behaviors and various gaze zones of a driver
This article presents a synthetic distracted driving (SynDD1) dataset fo...
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03/21/2022
Integrity Fingerprinting of DNN with Double Black-box Design and Verification
Cloud-enabled Machine Learning as a Service (MLaaS) has shown enormous p...
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03/03/2022
CAFE: Learning to Condense Dataset by Aligning Features
Dataset condensation aims at reducing the network training effort throug...
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02/09/2022
GenAD: General Representations of Multivariate Time Seriesfor Anomaly Detection
The reliability of wireless base stations in China Mobile is of vital im...
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01/25/2022
Large-scale Deterministic Transmission among IEEE 802.1Qbv Time-Sensitive Networks
IEEE 802.1Qbv (TAS) is the most widely used technique in Time-Sensitive ...
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01/25/2022
Flexible Design on Deterministic IP Networking for Mixed Traffic Transmission
Deterministic IP (DIP) networking is a promising technique that can prov...
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01/11/2022
Similarity-based Gray-box Adversarial Attack Against Deep Face Recognition
The majority of adversarial attack techniques perform well against deep ...
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12/29/2021
A New Method of Construction of Permutation Trinomials with Coefficients 1
Permutation polynomials over finite fields are an interesting and consta...
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07/16/2021