yusuke1997/dblp-id-title huggingface dataset:
Exploiting CLIP for Zero-shot HOI Detection Requires Knowledge Distillation at Multiple Levels
Interactive Image Manipulation with Complex Text Instructions
Toward Explainable Fashion Recommendation
Hand Pose Guided 3D Pooling for Word-level Sign Language Recognition
Kaizen: Practical self-supervised continual learning with continual fine-tuning
Distillation Multiple Choice Learning for Multimodal Action Recognition
Gender-from-Iris or Gender-from-Mascara?
CardioSyntax: End-to-End SYNTAX Score Prediction - Dataset, Benchmark and Method
Spatio-temporal Filter Analysis Improves 3D-CNN For Action Classification
Image Labels Are All You Need for Coarse Seagrass Segmentation
TRH2TQA: Table Recognition with Hierarchical Relationships to Table Question-Answering on Business Table Images
Persistent Objects Tracking Across Multiple Non Overlapping Cameras
SubICap: Towards Subword-informed Image Captioning
Automatic camera placement for large scale surveillance networks
All-in-One Image Compression and Restoration
Introductory message from WACV 2009 general chair
Seeing Stars: Learned Star Localization for Narrow-Field Astrometry
QUALIFIER: Question-Guided Self-Attentive Multimodal Fusion Network for Audio Visual Scene-Aware Dialog
Rethinking Video Anomaly Detection - A Continual Learning Approach
GANESH: Generalizable NeRF for Lensless Imaging
Unsupervised Generation of Context-Relevant Training-Sets for Visual Object Recognition Employing Multilinguality
PV-VTT: A Privacy-Centric Dataset for Mission-Specific Anomaly Detection and Natural Language Interpretation
Analysing Adversarial Threats to Rule-Based Local-Planning Algorithms for Autonomous Driving
Lightweight Deep Learning for Cyber-Resilient Heavy Vehicles: Efficient Signal Reconstruction on Embedded Systems
EmuOCPP: Effective and Scalable OCPP Security and Privacy Testing
WIP: Infrared Laser Reflection Attack Against Traffic Sign Recognition Systems
Stateful Behavior Inference and Runtime Enforcement for Vehicle Network Security
SoK: Stealing Cars Since Remote Keyless Entry Introduction and How to Defend From It
VASP: V2X Application Spoofing Platform
Demo: Ransom Vehicle through Charging Pile
Semi-Automated Synthesis of Driving Rules
Location Spoofing Attacks on Autonomous Fleets
WIP: Intrusion Detection and Localization for CAN by Extracting Propagation Delay Features from Message Intervals
DrainDead: Emptying Batteries of Parked Electric Vehicles
3rd USENIX Symposium on Vehicle Security and Privacy, VehicleSec 2025, Seattle, WA, USA, August 11-12, 2025
Demo: Discovering Faulty Patches in Robotic Vehicle Control Software
Guess Which Car Type I Am Driving: Information Leak via Driving Apps
Human Drivers' Awareness of Utility and Privacy Risks of Vehicle-to-Everything Communication: A Driving Simulator Study
Inaugural International Symposium on Vehicle Security and Privacy, VehicleSec 2023, San Diego, CA, USA, February 27, 2023
Efficient Privacy-Preserved Processing of Multimodal Data for Vehicular Traffic Analysis
WIP: The Feasibility of High-performance Message Authentication in Automotive Ethernet Networks
Poster: Practical Swarm Attestation using Probabilistic Program Integrity Verification
Short: Certifiably Robust Perception Against Adversarial Patch Attacks: A Survey
Short: APSFUZZ: Simulation-Based Fuzzing Testing for Automated Parking Systems
Reminding Drivers of the Stalking Vehicles on the Road
Exploiting Transport Protocol Vulnerabilities in SAE J1939 Networks
CableAuth: A Biometric Second Factor Authentication Scheme for Electric Vehicle Charging
Demo: Physically Hijacking Object Trackers
WIP: Towards the Practicality of the Adversarial Attack on Object Tracking in Autonomous Driving
Threat Analysis and Detection in In-Vehicle Infotainment System Leveraging MITRE ATT&CK and Suricata
Demo: Real-time System Availability for Cyber-physical Systems using ARM TrustZone
Human Drivers' Situation Awareness of Autonomous Driving Under Physical-world Attacks
GPS Spoofing Attack Detection on Intersection Movement Assist using One-Class Classification
WIP: Augmenting Vehicle Safety With Passive BLE
WIP: Understanding the Mechanisms Behind NDT-Based Localization Vulnerabilities in Autonomous Driving
CarPlay at Risk: Unveiling Security Threats of Third-Party Infotainment Adapters
WIP: Evaluation of Threats and Impacts of HD Map Tampering Attacks in Autonomous Driving
CANdid - An Open-Access Annotated Dataset of Vehicle CAN Bus Traffic
WIP: Evaluating the End-to-End Impact of False Localization Attacks on vSLAM-Based Autonomous Drones
WIP: Practical Removal Attacks on LiDAR-based Object Detection in Autonomous Driving
Poster: Effects of Knowledge and Experience on Drivers' Intention to Use CAVs
Short: PIBuster: Exploiting a Common Misconfiguration in CCS EV Chargers
Cooperative Perception for Safe Control of Autonomous Vehicles under LiDAR Spoofing Attacks
Improving In-vehicle Networks Intrusion Detection Using On-Device Transfer Learning
Short: Unencrypted Flying Objects: Security Lessons from University Small Satellite Developers and Their Code
WIP: Blurred Lines - A GDPR-Compliant Framework for Anonymising Automotive Video Data
Beyond the Glow: Understanding Luminescent Marker Behavior Against Autonomous Vehicle Perception Systems
Non-Interactive Privacy-Preserving Sybil-Free Authentication Scheme in VANETs
On the Feasibility of Profiling Electric Vehicles through Charging Data
Formally Verified Software Update Management System in Automotive
WIP: QKSAN: Towards Multiple Sanitizers for In-vehicle COTS OS Kernels
Secure FLOATING - Scalable Federated Learning Framework for Real-time Trust in Mobility Data using Secure Multi-Party Computation and Blockchain
You Can Drive But You Cannot Hide: Detection of Hidden Cellular GPS Vehicle Trackers
Enhanced Vehicular Roll-Jam Attack using a Known Noise Source
Short: Breaking the Charge: Exploiting State Manipulation in EV Charging
WIP: From Detection to Explanation: Using LLMs for Adversarial Scenario Analysis in Vehicles
WIP: Hijacking Attacks on UAV Follow-Me Systems in Realistic Scenarios
WIP: AMICA: Attention-based Multi-Identifier model for asynchronous intrusion detection on Controller Area networks
WIP: Learning Adversarial Attacks on Adaptive Traffic Signal Control Systems Under Cooperative Perception
WIP: A Black Box System for Automotive Digital Forensics
CANtropy: Time Series Feature Extraction-Based Intrusion Detection Systems for Controller Area Networks
Oblivious Plug&Charge: A Privacy-Preserving EV Charging Scheme based on ORAM
ConfuSense: Sensor Reconfiguration Attacks for Stealthy UAV Manipulation
Towards Privacy-Preserving Platooning Services by means of Homomorphic Encryption
Short: Rethinking Secure Pairing in Drone Swarms
Evaluations of Cyber Attacks on Cooperative Control of Connected and Autonomous Vehicles at Bottleneck Points
A Prior-Based Approach to 3D Face Reconstruction Using Depth Images
An Accurate and Efficient Pile Driver Positioning System Using Laser Range Finder
Kitchen Scene Context Based Gesture Recognition: A Contest in ICPR2012
A Dynamic MRF Model for Foreground Detection on Range Data Sequences of Rotating Multi-beam Lidar
Probability-Based Dynamic Time Warping for Gesture Recognition on RGB-D Data
View-Invariant Method for Calculating 2D Optical Strain
Towards an Augmented Reality System for Violin Learning Support
Removing Moving Objects from Point Cloud Scenes
Fast 3D Keypoints Detector and Descriptor for View-Based 3D Objects Recognition
Stereoscopic Image Inpainting Considering the Consistency of Texture Similarity
A 3D Impression Acquisition System for Forensic Applications
Posture Analysis and Range of Movement Estimation Using Depth Maps
Incremental Dense Reconstruction from Sparse 3D Points with an Integrated Level-of-Detail Concept
Color Segmentation Based Depth Image Filtering
Impact of Thermal and Environmental Conditions on the Kinect Sensor
Optimal Decoding of Stripe Patterns with Window Uniqueness Constraint
High Quality Novel View Synthesis Based on Low Resolution Depth Image and High Resolution Color Image
Results and Analysis of the ChaLearn Gesture Challenge 2012
Advances in Depth Image Analysis and Applications - International Workshop, WDIA 2012, Tsukuba, Japan, November 11, 2012, Revised Selected and Invited Papers
Extraction and Visualization of Cardiac Beat by Grid-Based Active Stereo
Accelerating Ecological Sciences from Above: Spatial Contrastive Learning for Remote Sensing
Revisiting Projection-Free Optimization for Strongly Convex Constraint Sets
What and Where the Themes Dominate in Image
Impersonation-Based Mechanisms
Self-Explanatory Financial Planning Models
A Unified Convex Surrogate for the Schatten- p Norm
Computing Preferences Based on Agents' Beliefs
Cross-Layer and Cross-Sample Feature Optimization Network for Few-Shot Fine-Grained Image Classification
THOR, Trace-based Hardware-driven Layer-Oriented Natural Gradient Descent Computation
Dynamic Bayesian Networks for Automatic Speech Recognition
Distributionally Robust Policy Evaluation and Learning for Continuous Treatment with Observational Data
Using a Matcher to Make an Expert Consultation System Behave Intelligently
Building Continuous Occupancy Maps With Moving Robots
Hybrid Compositional Reasoning for Reactive Synthesis from Finite-Horizon Specifications
RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors
Virtual Structure Reduction for Distributed Constraint Problem Solving
On Parameter Tying by Quantization
Are There Preference Trade-offs in Attachment Decisions?
Towards a holistic approach for AI trustworthiness assessment based upon aids for multi-criteria aggregation
Cut-Based Graph Learning Networks to Discover Compositional Structure of Sequential Video Data
Translate the Facial Regions You Like Using Self-Adaptive Region Translation
Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning
Unified Tensor Framework for Incomplete Multi-view Clustering and Missing-view Inferring
KATG: Keyword-Bias-Aware Adversarial Text Generation for Text Classification
Harnessing the Power of Beta Scoring in Deep Active Learning for Multi-Label Text Classification
Cross-Modality Attention with Semantic Graph Embedding for Multi-Label Classification
Negative Side Effects and AI Agent Indicators: Experiments in SafeLife
Robust Multi-Modality Person Re-identification
All-Pay Bidding Games on Graphs
A Model and Representation for Type Information and Its Use in Reasoning with Defaults
Learned Bi-Resolution Image Coding using Generalized Octave Convolutions
An Empirical Analysis of Constrained Support Vector Quantile Regression for Nonparametric Probabilistic Forecasting of Wind Power
ACP: Reason Maintenance and Inference Control for Constraint Propagation Over Intervals
Enabling Intelligent Content Discovery on the Mobile Internet
Multi-Modal Latent Variables for Cross-Individual Primary Visual Cortex Modeling and Analysis
Learning Explicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning via Polarization Policy Gradient
Differentially Private Stochastic Coordinate Descent
Sequence Accumulation and Beyond: Infinite Context Length on Single GPU and Large Clusters
Identification and Evaluation of Weak Community Structures in Networks
Learning Flexible Latent Representations via Encapsulated Variational Encoders
Finding a Shortest Solution for the N × N Extension of the 15-PUZZLE Is Intractable
Explainable Reinforcement Learning through a Causal Lens
Artificial Intelligence for Cyber Security, Papers from the 2016 AAAI Workshop, Phoenix, Arizona, USA, February 12, 2016
Mining 911 Calls in New York City: Temporal Patterns, Detection, and Forecasting
Cognitive Robotics, Papers from the 2012 AAAI Workshop, CogRob@AAAI 2012, Toronto, Ontario, Canada, July 22-23, 2012
Adaptive and Universal Algorithms for Variational Inequalities with Optimal Convergence
Transformer-Style Relational Reasoning with Dynamic Memory Updating for Temporal Network Modeling
Variance Reduced K-Means Clustering
Cross-Modal Mutual Learning for Audio-Visual Speech Recognition and Manipulation
Multi-Matching Network for Multiple Choice Reading Comprehension
AI on the Battlefield: An Experimental Exploration
Joint Copying and Restricted Generation for Paraphrase
ASHF-Net: Adaptive Sampling and Hierarchical Folding Network for Robust Point Cloud Completion
Helping Intelligence Analysts Make Connections
Language Models of Code Are Few-Shot Planners and Reasoners for Multi-Document Summarization with Attribution
A Natural Interface and Unified Skills for a Mobile Robot
Learning Conflicts from Experience
PokerBench: Training Large Language Models to Become Professional Poker Players
Deep Learning for Unsupervised Insider Threat Detection in Structured Cybersecurity Data Streams
Prior and Prediction Inverse Kernel Transformer for Single Image Defocus Deblurring
Entity Resolution in a Big Data Framework
A Case-Based Approach to Knowledge Acquisition for Domain-Specific Sentence Analysis
Multi-Agent System Development: Design, Runtime, and Analysis
A Restricted Black-Box Adversarial Framework Towards Attacking Graph Embedding Models
Discriminative Feature Grouping
Small Representations of Big Kidney Exchange Graphs
AlphaForge: A Framework to Mine and Dynamically Combine Formulaic Alpha Factors
Fairness Concepts for Indivisible Items with Externalities
Internally Stable Matchings and Exchanges
Exploration-Exploitation in Multi-Agent Learning: Catastrophe Theory Meets Game Theory
OAM: An Option-Action Reinforcement Learning Framework for Universal Multi-Intersection Control
Skip-GANomaly++: Skip Connections and Residual Blocks for Anomaly Detection (Student Abstract)
Lessons for Editors of AI Incidents from the AI Incident Database
Tightening Robustness Verification of Convolutional Neural Networks with Fine-Grained Linear Approximation
Autonomous Color Learning on a Mobile Robot
The Parameterized Complexity of Abduction
Transformer-Based Multi-Hop Question Generation (Student Abstract)
FusionDN: A Unified Densely Connected Network for Image Fusion
Constrained Risk-Averse Markov Decision Processes
What's the Right Price? Pricing Tasks for Finishing on Time
Planning in Factored Action Spaces with Symbolic Dynamic Programming
Strong Baselines for Parameter-Efficient Few-Shot Fine-Tuning
InsCLR: Improving Instance Retrieval with Self-Supervision
IRPruneDet: Efficient Infrared Small Target Detection via Wavelet Structure-Regularized Soft Channel Pruning
Thompson Sampling for Real-Valued Combinatorial Pure Exploration of Multi-Armed Bandit
A Pretrained Language Model for Mental Health Risk Detection (short paper)
Using Declarative Programming in an Introductory Computer Science Course for High School Students
A Provably-Efficient Model-Free Algorithm for Infinite-Horizon Average-Reward Constrained Markov Decision Processes
Dictionary-Guided Editing Networks for Paraphrase Generation
MDD-5k: A New Diagnostic Conversation Dataset for Mental Disorders Synthesized via Neuro-Symbolic LLM Agents
Exploring Semantic Inter-Class Relationships (SIR) for Zero-Shot Action Recognition
RAFaRe: Learning Robust and Accurate Non-parametric 3D Face Reconstruction from Pseudo 2D&3D Pairs
Federated Learning via Input-Output Collaborative Distillation
Checking Consistency of CP-Theory Preferences in Polynomial Time
Generating Adversarial yet Inconspicuous Patches with a Single Image (Student Abstract)
Sub-Interest-Aware Representation Uniformity for Recommender System
Reactive Navigation through Rough Terrain: Experimental Results
CRIN: Rotation-Invariant Point Cloud Analysis and Rotation Estimation via Centrifugal Reference Frame
On Possible Applications of Rough Mereology to Handling Granularity in Ontological Knowledge
Forward KL Regularized Preference Optimization for Aligning Diffusion Policies
Active Algorithm Selection
ECG ODE-GAN: Learning Ordinary Differential Equations of ECG Dynamics via Generative Adversarial Learning
Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning
Pathway Specification and Comparative Queries: A High Level Language with Petri Net Semantics
Predictive Coding Machine for Compressed Sensing and Image Denoising
Neuron Learning Machine for Representation Learning
Randomized Adaptive Spatial Decoupling for Large-Scale Vehicle Routing with Time Windows
Exploring Abstract Concepts for Image Privacy Prediction in Social Networks (Student Abstract)
Blackbox Post-Processing for Multiclass Fairness
Symmetric Self-Paced Learning for Domain Generalization
Projective Quadratic Regression for Online Learning
Towards Automating the Generation of Human-Robot Interaction Scenarios
Applying Clustering to the Classification Problem
SoundBrush: Sound as a Brush for Visual Scene Editing
Amortized Generation of Sequential Algorithmic Recourses for Black-Box Models
Exacting Social Events for Tweets Using a Factor Graph
Partial Wasserstein Covering
Behavioral Recognition of Skeletal Data Based on Targeted Dual Fusion Strategy
FPAdaMetric: False-Positive-Aware Adaptive Metric Learning for Session-Based Recommendation
Tensor Compressive Sensing Fused Low-Rankness and Local-Smoothness
Qualifying the Expressivity/Efficiency Tradeoff: Reformation-Based Diagnosis
Every Frame Counts: Joint Learning of Video Segmentation and Optical Flow
Increasing The Efficiency of Simulated Annealing Search by Learning to Recognize (Un)Promising Runs
Hawkes-Enhanced Spatial-Temporal Hypergraph Contrastive Learning Based on Criminal Correlations
Identifying Meaningful Citations
Intelligent System for Urban Emergency Management during Large-Scale Disaster
Story Ending Generation with Multi-Level Graph Convolutional Networks over Dependency Trees
AdaSkip: Adaptive Sublayer Skipping for Accelerating Long-Context LLM Inference
Yoopick: A Combinatorial Sports Prediction Market
Modeling Classification and Inference Learning
Multi-Modal Answer Validation for Knowledge-Based VQA
Mixed Geometry Message and Trainable Convolutional Attention Network for Knowledge Graph Completion
i-Rebalance: Personalized Vehicle Repositioning for Supply Demand Balance
Guide Local Feature Matching by Overlap Estimation
Debiased Multimodal Understanding for Human Language Sequences
Progressive Distribution Matching for Federated Semi-Supervised Learning
Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation
Uncovering and Mitigating the Hidden Chasm: A Study on the Text-Text Domain Gap in Euphemism Identification
Context-Sensitive Statistics For Improved Grammatical Language Models
On Completeness Classes for Query Evaluation on Linked Data
Reinforcement Learning in POMDPs With Memoryless Options and Option-Observation Initiation Sets
Learning by Reading: A Prototype System, Performance Baseline and Lessons Learned
Taming the Matthew Effect in Online Markets with Social Influence
MM-Mixing: Multi-Modal Mixing Alignment for 3D Understanding
The Utility of EBL in Recursive Domain Theories
An Analysis of Genetic-Based Pattern Tracking and Cognitive-Based Component Tracking Models of Adaptation
A Human-Inspired Cognitive Architecture Supporting Self Regulated Learning in Problem Solving
Differential Privacy Preservation for Deep Auto-Encoders: an Application of Human Behavior Prediction
Consistency-Guided Temperature Scaling Using Style and Content Information for Out-of-Domain Calibration
Multi-HDP: A Non Parametric Bayesian Model for Tensor Factorization
Separated Contrastive Learning for Organ-at-Risk and Gross-Tumor-Volume Segmentation with Limited Annotation
MORE: Molecule Pretraining with Multi-Level Pretext Task
Generalization Analysis for Game-Theoretic Machine Learning
Custom DU® - A Web Based Business User Driven Automated Underwriting System
H-AES: Towards Automated Essay Scoring for Hindi
Emergent Communication for Numerical Concepts Generalization
Uncommon Belief in Rationality
On the Adequateness of the Connection Method
Exploiting Learnable Joint Groups for Hand Pose Estimation
Distributed Auction-Based Initialization of Mobile Robot Formations
Attentive Tensor Product Learning
Reasoning With Characteristic Models
Is Active Learning Always Beneficial? (Student Abstract)
Temporal-Coded Deep Spiking Neural Network with Easy Training and Robust Performance
Linear Discriminant Analysis: New Formulations and Overfit Analysis
Confidence Is All You Need for MI Attacks (Student Abstract)
The Constrainedness Knife-Edge
A Forward Inference Engine to Aid in Understanding Specifications
Living and Searching in the World: Object-Based State Estimation for Mobile Robots
Video-Text Pre-training with Learned Regions for Retrieval
CLIPSyntel: CLIP and LLM Synergy for Multimodal Question Summarization in Healthcare
Multi-Label Causal Feature Selection
Limitations of Face Image Generation
A Generalized Unbiased Risk Estimator for Learning with Augmented Classes
From Comparing Clusterings to Combining Clusterings
Convex Co-embedding
Responsible Prediction Making of COVID-19 Mortality (Student Abstract)
Normal Multimodal Logics
Affect-Aware Machine Learning Models for Deception Detection
On Range of Skill
Multi-Resolution Monocular Depth Map Fusion by Self-Supervised Gradient-Based Composition
The Simultaneous Maze Solving Problem
Lola, the Mobile Robot from NC State
Invertible Concept-based Explanations for CNN Models with Non-negative Concept Activation Vectors
AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates
Hypercorrelation Evolution for Video Class-Incremental Learning
Structural Entropy Guided Unsupervised Graph Out-Of-Distribution Detection
Neural Bag-of-Ngrams
Equivalence between Graph Spectral Clustering and Column Subset Selection (Student Abstract)
On the Enactability of Business Protocols
Shape and Function in Mechanical Devices
Communicative Message Passing for Inductive Relation Reasoning
Advancing Video Synchronization with Fractional Frame Analysis: Introducing a Novel Dataset and Model
Inferring a Personalized Next Point-of-Interest Recommendation Model with Latent Behavior Patterns
On the Distortion Value of the Elections with Abstention
Demonstration of Music Plus One - A Real-Time System for Automatic Orchestral Accompaniment
MASKER: Masked Keyword Regularization for Reliable Text Classification
Siamese Recurrent Architectures for Learning Sentence Similarity
Automatic Summarization of Conversational Multi-Party Speech
Explicit Defense Actions Against Test-Set Attacks
Long-Term Declarative Memory for Generally Intelligent Agents
StNet: Local and Global Spatial-Temporal Modeling for Action Recognition
Unified Vision-Language Pre-Training for Image Captioning and VQA
Robust and Consistent Online Video Instance Segmentation via Instance Mask Propagation
CMUA-Watermark: A Cross-Model Universal Adversarial Watermark for Combating Deepfakes
FedVision: An Online Visual Object Detection Platform Powered by Federated Learning
Adaptive Control for Autonomous Underwater Vehicles
Context Modulated Dynamic Networks for Actor and Action Video Segmentation with Language Queries
Embedding Robust Watermarking into Pattern to Protect the Copyright of Ceramic Artifacts
DiCA: Disambiguated Contrastive Alignment for Cross-Modal Retrieval with Partial Labels
Progressive Feature Self-Reinforcement for Weakly Supervised Semantic Segmentation
Superposed Atomic Representation for Robust High-Dimensional Data Recovery of Multiple Low-Dimensional Structures
PCGAN: Partition-Controlled Human Image Generation
Day-Ahead Forecasting of Losses in the Distribution Network
IterDE: An Iterative Knowledge Distillation Framework for Knowledge Graph Embeddings
Vesselness Features and the Inverse Compositional AAM for Robust Face Recognition Using Thermal IR
Simulation-Assisted Inductive Learning
A Pair-Approximation Method for Modelling the Dynamics of Multi-Agent Stochastic Games
Planning, Scheduling and Monitoring for Airport Surface Operations
AI-Blueprint for Deep Neural Networks
Differentially Private Prototypes for Imbalanced Transfer Learning
Progressive Prediction of Student Performance in College Programs
Online Max-Margin Weight Learning with Markov Logic Networks
Dialogue Generation With GAN
Limits and Possibilities of BDDs in State Space Search