yusuke1997/dblp-id-title huggingface dataset:
Assumption-Based Runtime Verification with Partial Observability and Resets
The Dou8ble Algebra: An Effective Tool for Computing Invariants in Computer Vision
Accurate Projective Reconstruction
Using Invariance and Quasi-Invariance for the Segmentation and Recovery of Curved Objects
A Case Against Epipolar Geometry
Affine Reconstruction from Perspective Image Pairs Obtained by a Translating Camera
Representations of 3D Objects that Incorporate Surface Markings
Hierarchical Object Description Using Invariants
Applications of Invariance in Computer Vision, Second Joint European - US Workshop, Ponta Delgada, Azores, Portugal, October 9-14, 1993, Proceedings
Cartan's Moving Frame Method and Its Application to the Geometry and Evolution of Curves in the Euclidean, Affine and Projective Planes
Introduction and Chapter Summary
Invariants for Recovering Shape from Shading
Integration of Multiple Feature Groups and Multiple Views into a 3D Object Recognition System
Fundamental Difficulties with Projective Normalization of Planar Curves
Applications of Motion Field of Curves
On Geomatric and Algebraic Aspects of 3D Affine and Projective Structures from Perspective 2D Views
Recognition by Combinations of Model Views: Alignment and Invariance
Representation of Three-Dimensional Object Structure as Cross-Ratios of Determinants of Stereo Image Points
Model-based Invariant Functions and Their Use for Recognition
Euclidean Reconstruction from Uncalibrated Views
Integrating Algebraic Curves and Surfaces, Algebraic Invariants and Bayesian Methods for 2D and 3D Object Recognition
How to Use the Cross Ratio to Compute Projective Invariants from Two Images
Invariant Size Functions
Repeated Structures: Image Correspondence Constraints and 3D Structure Recovery
Generalizing Invariants for 3-D to 2-D Matching
Classification Based on the Cross Ratio
Matching Perspective Views of Parallel Plane Structures
Correspondence of Coplanar Features Through p -Invariant Representations
A Modest Proposal: Licencsing Personal Computers and Internet Service Providers
Static Verification of Worm and virus Behavior in binary Executables using Model Checking
Cyber Warfare Peacekeeping
Army Reserve Information Operations Command Overview
Information Assurance for Enterprise Fiber Optic Networks
Counterplanning Deceptions to Foil Cyber Attack-Plans
Security-Auditing in a Softswitch
On Countermeasures to Traffic Analysis Attacks
A Cryptographic Protocol to Protect MPLS Labels
Automatic Backdoor Analysis with Network Intrusion Detection System and Integrated Service Checker
The Use of Honeynets to Detect Exploited Systems Across Large Enterprise Networks
Methodology of Risk Assessment in Mobile Agent System Design
Factor Analysis Based Anomaly Detection
Accuracy Performance Analysis of Multimodal Biometrics
A Virtual Environment for IA Education
Assuring Consistency and Increasing Reliability in Group Communication Mechanisms in Computational Resiliency
Insecure Programming: How Culpable is a Language's Syntax?
Detecting Insider Threats by Monitoring System Call Activity
Wirless Security Threat Taxonomy
A Road Map to Becoming Security Conscious
An Architecture for Making Data Available Ceaselessly During Recovery
The Kerf toolkit for intrusion analysis
The TrustedFlow (TM) Protocol-Idiosyncratic Signatures for Authenticated Execution
Non-Zero Sum Games and Survivable Malware
On the Large-Scale Deployment of a Distributed Embedded Firewall
Identification of IT Security-Relevant System Characteristics
Counterplanning Deceptions To Foil Cyber-Attack Plans
The Portable Educational Network (PEN)
Next Generation DDoS web based Attacks
Separating Trojan Horses from Viruses and Worms - A Proposed Taxonomy of Software Weapons
Early Statistical Anomaly Intrusion Detection of DOS Attacks Using MIB Traffic Parameters
Secure Web-based Applications with XML and RBAC
Risk Probability Estimating Based on Clustering
Experiments with Deceptive Software Responses to Buffer-Based Attacks
Hidden Processes: The Implication for Intrusion Detection
A Design of Hardware Cryptographic Co-Processor
LLSIM: Network Simulation for Correlation and Response Testing
Security Vulnerabilities in Command and Control Interoperability
An Undergraduate Information Assurance Curriculum
Security Assurance for an RBAC/MAC Security Model
Costs and Benefits of Integrating Biometrics with a Navy Tactical Weapons System
A Weakness in Smart Card PKI Certification
How to Misuse AODV: A Case Study of Insiider Attacks against Mobile Ad-hoc Routing Protocols
Network Viruses: Their 306 Working Principles and Marriages with Hacking Programs
An Evolutionary Approach to Generate Fuzzy Anomaly Signatures
IEEE Information Assuurance Activities
Bridge Certification Authorities: Connecting B2B Public Key Infrastructure with PAK and Zero-Knowledge Proof
A Distributed Multipurpose Mail Guard (Blinded)
Wireless Intrusion Detection and Response
IEEE Systems, Man and Cybernetics Society Information Assurance Workshop, June 18-20, 2003, West Point, New York, USA
Intrusion Countermeasures Security Model Based on Prioritization Scheme for Intranet Access Security
Distributed Policy Processing in Virtual Private Operation Environment for Large Scale Networks
The Future of Aircraft Maintenance: Goals and Challenges of Digital Twins for In-flight Operations
Efficient Design of Scalable Indoor Positioning System Based on Wi-Fi Fingerprinting
Repair of Convolutional Neural Networks using Convex Optimization: Preliminary Experiments
Runtime-Adaptive Cognitive IoT Nodes
Design Challenges in Hardware Development of Time-Sensitive Networking: A Research Plan
Cognitive Electronic Unit for Assisted Ultrasound: Preliminary Results and Future Perspectives
Proceedings of the CPS Summer School PhD Workshop 2022 co-located with 4th Edition of the CPS Summer School (CPS 2022), Pula, Sardinia (Italy), September 19-23, 2022
Counter-Example Guided Abstract Refinement for Verification of Neural Networks
Flexible Acceleration of Convolutions on FPGAs: NEURAghe 2.0
Analyzing Throughput for Cyber-Physical Systems modeled with Synchronous Dataflow
ML-Based Modeling and Virtualization of Reconfigurable Multi-Accelerator Systems
HW-SW Management Using a Lightweight Yocto-based OS Running on a ZCU102
Enhancing Trustworthiness and Formalization in the Construction Industry with Modeling Languages and Ontologies
On-device Subject Recognition in UWB-radar Data with Tiny Machine Learning
A Self-Powered Wireless Sensor Network
Leveraging the MLIR Infrastructure for the Computing Continuum
T4C: A Framework for Time-Series Clustering-as-a-Service
Automated Design of Complex Systems with Constraint Programming Techniques
Enhanced Cyber-Physical Security through Deep Learning Techniques
Automata-Based Generation of Test Cases for Reactive Systems
CHAOS - Configurations Analysis of Swarms of Cyber-Physical Systems
Spiking Neural Networks for Near-Sensor Processing: An Open-Hardware Experience
The Multi-Sensor Gateway, a Unified Communication Scheme and Orchestration Actor for Heterogeneous Systems
Proceedings of the Cyber-Physical Systems PhD Workshop 2019, an event held within the CPS Summer School "Designing Cyber-Physical Systems - From concepts to implementation", Alghero, Italy, September 23, 2019
A Dataflow Implementation of Inverse Kinematics on Reconfigurable Heterogeneous MPSoC
Proceedings of the CPS Summer School PhD Workshop 2024 co-located with 6th Edition of the CPS Summer School (CPS 2024), Alghero, Sardinia (Italy), September 16-20, 2024
Artificial Emotions for Distributed Cyber-physical Systems Resilience
Design Exploration of CNN Parameters for Multi-Attitude UAV Object Detection
Spatial-Aware GAN for Instance-Guided Cross-Spectral Face Hallucination
Boosting Few-Shot Learning with Task-Adaptive Multi-level Mixed Supervision
Artificial Intelligence - First CAAI International Conference, CICAI 2021, Hangzhou, China, June 5-6, 2021, Proceedings, Part II
SAR Target Recognition Based on Model Transfer and Hinge Loss with Limited Data
A Genetic Algorithm for Causal Discovery Based on Structural Causal Model
Graph-Based Exercise- and Knowledge-Aware Learning Network for Student Performance Prediction
ARShape-Net: Single-View Image Oriented 3D Shape Reconstruction with an Adversarial Refiner
Survey of Hypergraph Neural Networks and Its Application to Action Recognition
Audio-Visual Fusion Network Based on Conformer for Multimodal Emotion Recognition
Context Alignment Network for Video Moment Retrieval
Object Goal Visual Navigation Using Semantic Spatial Relationships
Study on Practical Utility of Image Dehazing Algorithms Based on Deep Learning in Computer Vision Scene Understanding
Lane Change Decision-Making of Autonomous Driving Based on Interpretable Soft Actor-Critic Algorithm with Safety Awareness
ETH-TT: A Novel Approach for Detecting Ethereum Malicious Accounts
Part-Aware Spatial-Temporal Graph Convolutional Network for Group Activity Recognition
MMG-HCI: A Non-contact Non-intrusive Real-Time Intelligent Human-Computer Interaction System
AD-DARTS: Adaptive Dropout for Differentiable Architecture Search
Differential Evolution Constrained Optimization for Peak Reduction
Region-Based Dense Adversarial Generation for Medical Image Segmentation
Similar Case Based Prison Term Prediction
EFENet: Reference-Based Video Super-Resolution with Enhanced Flow Estimation
Integrative Analysis of Multi-view Histopathological Image Features for the Diagnosis of Lung Cancer
Remote Sensing Image Recommendation Using Multi-attribute Embedding and Fusion Collaborative Filtering Network
Exploring Hierarchical Prototypes for Few-Shot Segmentation
Interactive Fusion Network with Recurrent Attention for Multimodal Aspect-based Sentiment Analysis
GLRNet: Gas Leak Recognition via Temporal Difference in Infrared Video
Illumination-Guided Transformer-Based Network for Multispectral Pedestrian Detection
Chinese Word Sense Embedding with SememeWSD and Synonym Set
Artificial Intelligence - First CAAI International Conference, CICAI 2021, Hangzhou, China, June 5-6, 2021, Proceedings, Part I
Image Segmentation Based on Non-convex Low Rank Multiple Kernel Clustering
Unsupervised Deep Plane-Aware Multi-homography Learning for Image Alignment
Odds Estimating with Opponent Hand Belief for Texas Hold'em Poker Agents
VAFA: A Visually-Aware Food Analysis System for Socially-Engaged Diet Management
DGMLP: Deformable Gating MLP Sharing for Multi-Task Learning
Lightweight Convolutional SNN for Address Event Representation Signal Recognition
Multi-view Subspace Clustering with Joint Tensor Representation and Indicator Matrix Learning
Explainable AI for Classification Using Probabilistic Logic Inference
CDNeRF: A Multi-modal Feature Guided Neural Radiance Fields
A New Adaptive TV-Based BM3D Algorithm for Image Denoising
Multi-Relational Cognitive Diagnosis for Intelligent Education
Hybrid Domain Convolutional Neural Network for Memory Efficient Training
Adaptive Combination of Filtered-X NLMS and Affine Projection Algorithms for Active Noise Control
Artificial Intelligence - Second CAAI International Conference, CICAI 2022, Beijing, China, August 27-28, 2022, Revised Selected Papers, Part I
Evolutionary Multitasking for Coarse-to-Fine Point Cloud Registration with Chaotic Opposition Search Strategy
Hierarchical Recurrent Contextual Attention Network for Video Question Answering
Maintaining Structural Information by Pairwise Similarity for Unsupervised Domain Adaptation
Hierarchical Graph Representation Learning with Structural Attention for Graph Classification
Phase Partition Based Virtual Metrology for Material Removal Rate Prediction in Chemical Mechanical Planarization Process
Intelligence Quotient Scores Prediction in rs-fMRI via Graph Convolutional Regression Network
Model Predictive Tracking Control for USV with Model Error Learning
Monocular 3D Face Reconstruction with Joint 2D and 3D Constraints
GBCI: Adaptive Frequency Band Learning for Gender Recognition in Brain-Computer Interfaces
A New Method for Assigning Hesitation Based on an IFS Distance Metric
Enhanced Attribute Alignment Based on Semantic Co-Attention for Text-Based Person Search
Deep Graph Convolutional Networks Based on Contrastive Learning: Alleviating Over-smoothing Phenomenon
Second-Order Global Attention Networks for Graph Classification and Regression
AGFNet: Attention Guided Fusion Network for Camouflaged Object Detection
Artificial Intelligence - Third CAAI International Conference, CICAI 2023, Fuzhou, China, July 22-23, 2023, Revised Selected Papers, Part II
Causal Inference with Sample Balancing for Out-of-Distribution Detection in Visual Classification
MHPro: Multi-hypothesis Probabilistic Modeling for Human Mesh Recovery
Underwater Object Detection Using Restructured SSD
PSS: Point Semantic Saliency for 3D Object Detection
A Multi-branch Cascade Transformer Network (MBCT-Net) for Hand Gesture Segmentation in Cluttered Background
Attention Scale-Aware Deformable Network for Inshore Ship Detection in Surveillance Videos
Multi-objective Meta-return Reinforcement Learning for Sequential Recommendation
Interaction-Aware Temporal Prescription Generation via Message Passing Neural Network
Reducing Adversarial Examples Through Boundary Methods
Selected Sample Retraining Semi-supervised Learning Method for Aerial Scene Classification
Image Sampling for Machine Vision
BSAM: Bidirectional Scene-Aware Mixup for Unsupervised Domain Adaptation in Semantic Segmentation
Improving Adversarial Attacks with Ensemble-Based Approaches
Self-organized Hawkes Processes
Human-Object Interaction Detection: A Survey of Deep Learning-Based Methods
A Novel Conditional Knowledge Graph Representation and Construction
NeRFingXR: An Interactive XR Tool Based on NeRFs
XIVA: An Intelligent Voice Assistant with Scalable Capabilities for Educational Metaverse
A Snapshot Gradient Tracking for Distributed Optimization over Digraphs
Robust Anomaly Detection from Partially Observed Anomalies with Augmented Classes
A Hybrid Pattern Knowledge Graph-Based API Recommendation Approach
Following the Lecturer: Hierarchical Knowledge Concepts Prediction for Educational Videos
Tooth Defect Segmentation in 3D Mesh Scans Using Deep Learning
A Triple-Pooling Graph Neural Network for Multi-scale Topological Learning of Brain Functional Connectivity: Application to ASD Diagnosis
HierarIK: Hierarchical Inverse Kinematics Solver for Human Body and Hand Pose Estimation
Coarse-to-Fine Attribute Editing for Fashion Images
Robust Face-Swap Detection Based on 3D Facial Shape Information
TAR-Net: A Triple Attention Residual Network for Power Line Extraction from Infrared Aerial Images
Person Re-identification Based on CNN with Multi-scale Contour Embedding
Optimizing Federated Learning on Non-IID Data Using Local Shapley Value
Blind Surveillance Image Quality Assessment via Deep Neural Network Combined with the Visual Saliency
Viewing Angle Generative Model for 7-DoF Robotic Grasping
An Automatic Surface Defect Detection Method with Residual Attention Network
Optimizing Loss Function for Uni-modal and Multi-modal Medical Registration
CARNet: Automatic Cerebral Aneurysm Classification in Time-of-Flight MR Angiography by Leveraging Recurrent Neural Networks
Dynamic Clustering Federated Learning for Non-IID Data
Neighborhood Search Acceleration Based on Deep Reinforcement Learning for SSCFLP
An Optical Satellite Controller Based on Diffractive Deep Neural Network
Online Taxi Dispatching Algorithm Based on Quantum Annealing
Various Plug-and-Play Algorithms with Diverse Total Variation Methods for Video Snapshot Compressive Imaging
Clustering-based Curriculum Construction for Sample-Balanced Federated Learning
In-the-Wild Facial Highlight Removal via Generative Adversarial Networks
Purchase Pattern Based Anti-Fraud Framework in Online E-Commerce Platform Using Graph Neural Network
Relative Position Relationship Learning Network for Scene Graph Generation
Cross-Camera Deep Colorization
Cross-domain Trajectory Prediction with CTP-Net
CycleResume: A Cycle Learning Framework with Hybrid Attention for Fine-Grained Talent-Job Fit
A Strong Baseline Based on Adaptive Mining Sample Loss for Person Re-identification
Suspension Control of Maglev Train Based on Extended Kalman Filter and Linear Quadratic Optimization
PHN: Parallel Heterogeneous Network with Soft Gating for CTR Prediction
A Random Opposition-Based Sparrow Search Algorithm for Path Planning Problem
Tile Defect Detection Based on the Improved S2C-YOLOv5
A Lightweight Detection Method of Smartphone Assembly Parts
Intelligent Data Extraction System for RNFL Examination Reports
EO-SLAM: Evolutionary Object Slam in Perceptual Constrained Scene
Clinical Phenotyping Prediction via Auxiliary Task Selection and Adaptive Shared-Space Correction
Attentive Cascaded Pyramid Network for Online Video Stabilization
Lightweight Image Compression Based on Deep Learning
Dual Windows Are Significant: Learning from Mediastinal Window and Focusing on Lung Window
ADRC Based Multi-task Priority Tracking Control for Collaborative Robots
Legal Judgment Prediction with Multiple Perspectives on Civil Cases
EdgeVR360: Edge-Assisted Multiuser-Oriented Intelligent 360-degree Video Delivery Scheme over Wireless Networks
Causal Inference with Heterogeneous Confounding Data: A Penalty Approach
Browsing Behavioral Intent Prediction on Product Recommendation Pages of E-commerce Platform
Aero-Engine Remaining Useful Life Prediction via Tensor Decomposition Method
SASD: A Shape-Aware Saliency Object Detection Approach for RGB-D Images
Photovoltaic Hot Spots Detection Based on Kernel Entropy Component Analysis and Information Gain
Estimating Treatment Effect via Differentiated Confounder Matching
A Brain-Controlled Mahjong Game with Artificial Intelligence Augmentation
Weighted Competitive-Collaborative Representation Based Classifier for Imbalanced Data Classification
Physical Logic Enhanced Network for Small-Sample Bi-layer Metallic Tubes Bending Springback Prediction
Detecting Alzheimer's Disease Based on Acoustic Features Extracted from Pre-trained Models
Research on Intelligent Decision-Making Irrigation Model of Water and Fertilizer Based on Multi-source Data Input
Judging Medical Q&A Alignments in Multiple Aspects
A Loop Closure Detection Algorithm Based on Geometric Constraint in Dynamic Scenes
Communication-Efficient Federated Learning with Multi-layered Compressed Model Update and Dynamic Weighting Aggregation
DSGSR: Dynamic Semantic Generation and Similarity Reasoning for Image-Text Matching
A Synchronized Multi-view System for Real-Time 3D Hand Pose Estimation
Reinforcement Learning Based Plug-and-Play Method for Hyperspectral Image Reconstruction
User Reviews Based Rating Prediction in Recommender System
Visual Perception Inference on Raven's Progressive Matrices by Semi-supervised Contrastive Learning
Data-Driven Hybrid Neural Network Under Model-Driven Supervised Learning for Structural Dynamic Impact Localization
Unsupervised Domain Adaptation via Attention Augmented Mutual Networks for Person Re-identification
ATC-WSA: Working State Analysis for Air Traffic Controllers
Audio-Visual Multi-person Keyword Spotting via Hybrid Fusion
Low-Light Image Enhancement Under Mixed Noise Model with Tensor Representation
Learning Bilevel Sparse Regularized Neural Network
Matching and Localizing: A Simple yet Effective Framework for Human-Centric Spatio-Temporal Video Grounding
A Novel Device-Free Localization Approach Based on Deep Dictionary Learning
Adversarial and Implicit Modality Imputation with Applications to Depression Early Detection
Monocular Real-Time Human Geometry Reconstruction
DPIT: Dual-Pipeline Integrated Transformer for Human Pose Estimation
Comparative Sharpness Evaluation for Mobile Phone Photos
Knowledge Powered Cooperative Semantic Fusion for Patent Classification
Reduced-reference Perceptual Discrepancy Learning for Image Restoration Quality Assessment
Artificial Intelligence - Second CAAI International Conference, CICAI 2022, Beijing, China, August 27-28, 2022, Revised Selected Papers, Part III
Research on Obstacle Avoidance Path Planning of Manipulator Based on Improved RRT Algorithm
Syllable Level Speech Emotion Recognition Based on Formant Attention
DiffGNN: Capturing Different Behaviors in Multiplex Heterogeneous Networks for Recommendation
Benchmarking Deep Reinforcement Learning Based Energy Management Systems for Hybrid Electric Vehicles
An Improved DDPG Algorithm with Barrier Function for Lane-Change Decision-Making of Intelligent Vehicles
Dual Attention Feature Fusion Network for Monocular Depth Estimation
Contactless Cardiogram Reconstruction Based on the Wavelet Transform via Continuous-Wave Radar
Stochastic and Dual Adversarial GAN-Boosted Zero-Shot Knowledge Graph
Change Detection of Flood Hazard Areas in Multi-Source Heterogeneous Earth Observation Image Time Series Based on Spatiotemporal Enhancement Strategy
MPNet: Multi-scale Parallel Codec Net for Medical Image Segmentation
Global-View Re-identification Tracking with Transformer
Real-Time Collision Warning and Status Classification Based Camera and Millimeter Wave-Radar Fusion
FIGCI: Flow-Based Information-Geometric Causal Inference
Revisiting Knowledge Distillation for Image Captioning
Dynamic Network Embedding by Using Sparse Deep Autoencoder
Exploiting Visual Context and Multi-grained Semantics for Social Text Emotion Recognition
Multi-view 3D Morphable Face Reconstruction via Canonical Volume Fusion
Compound Label Learning for Affective Image Content Analysis
Attention Guided Retinex Architecture Search for Robust Low-light Image Enhancement
Fooling Neural Network Interpretations: Adversarial Noise to Attack Images
Spatial-Temporal Contextual Feature Fusion Network for Movie Description
Artificial Intelligence - Second CAAI International Conference, CICAI 2022, Beijing, China, August 27-28, 2022, Revised Selected Papers, Part II
Research on Control Sensor Allocation of Industrial Robots
Crowd-Oriented Behavior Simulation: Reinforcement Learning Framework Embedded with Emotion Model
Emotional Semantic Neural Radiance Fields for Audio-Driven Talking Head
Artificial Intelligence - Third CAAI International Conference, CICAI 2023, Fuzhou, China, July 22-23, 2023, Revised Selected Papers, Part I
3D Face Cartoonizer: Generating Personalized 3D Cartoon Faces from 2D Real Photos with a Hybrid Dataset
A Hierarchical Multi-label Classification Algorithm for Scientific Papers Based on Graph Attention Networks
Unlocking the Potential of MAPPO with Asynchronous Optimization
Amodal Layout Completion in Complex Outdoor Scenes
Deep Skill Chaining with Diversity for Multi-agent Systems
Weakly Supervised Learning of Instance Segmentation with Confidence Feedback
End-to-End Anomaly Score Estimation for Contaminated Data via Adversarial Representation Learning
LS-YOLO: Lightweight SAR Ship Targets Detection Based on Improved YOLOv5
Multi-label Aerial Image Classification via Adjacency-Based Label and Feature Co-embedding
UI Layers Group Detector: Grouping UI Layers via Text Fusion and Box Attention
Nested Named Entity Recognition from Medical Texts: An Adaptive Shared Network Architecture with Attentive CRF
Disentangled Variational Information Bottleneck for Multiview Representation Learning
Automatic Diagnose of Drug-Resistance Tuberculosis from CT Images Based on Deep Neural Networks
VSA: Adaptive Visual and Semantic Guided Attention on Few-Shot Learning
Registration of 3D Point Clouds Based on Voxelization Simplify and Accelerated Iterative Closest Point Algorithm
Developing Relationships: A Heterogeneous Graph Network with Learnable Edge Representation for Emotion Identification in Conversations
DGA-Net: Dynamic Gaussian Attention Network for Sentence Semantic Matching
Adaptive Learning Rate and Spatial Regularization Background Perception Filter for Visual Tracking
Context-BMN for Temporal Action Proposal Generation
Few-shot Weighted Style Matching for Glaucoma Detection
Research on Multi-temporal Cloud Removal Using D-S Evidence Theory and Cloud Segmentation Model
BPN: Bidirectional Path Network for Instance Segmentation
Deep Dynamic-Range Compression of Infrared Video Camera
Classification of COVID-19 in CT Scans Using Image Smoothing and Improved Deep Residual Network
DP-BERT: Dynamic Programming BERT for Text Summarization