- SoyStageNet: Balancing Accuracy and Efficiency for Real-Time Soybean Growth Stage Detection
- HopNet: Harmonizing Object Placement Network for Realistic Image Generation via Object Composition
- A Large-Scale Analysis on Contextual Self-Supervised Video Representation Learning
- Multi-Flow: Multi-View-Enriched Normalizing Flows for Industrial Anomaly Detection
- Speed Sensor Fault Detection Algorithm Based on Autoencoder Applied for Two-mass System
- FedSECA: Sign Election and Coordinate-Wise Aggregation of Gradients for Byzantine Tolerant Federated Learning
- Preventing Fake GPS Signal Assaults on Unmanned Vehicles through Contextual Learning - A Blueprint
- FungiTastic: A Multi-Modal Dataset and Benchmark for Image Categorization
- Hypnos: Memory Efficient Homomorphic Processing Unit
- Motion Optimization Strategy for Passive Acoustic Monitoring With a Team of AUVs Considering Intermittent Communication
- DLST: Dual-Template Co-Evolution Learning for Robust Long-Term Drone Tracking in Dynamic Environments
- Classification Drives Geographic Bias in Street Scene Segmentation
- From Data to Design: Leveraging Frequency Statistics for Efficient Neural Network Architectures
- Differentiable Net-Moving and Local Congestion Mitigation for Routability-Driven Global Placement
- Human Pose Analysis in Smooth and Continuous Manifold Space Leveraging Interpolated Embedding Variables
- ReasonDrive: Efficient Visual Question Answering for Autonomous Vehicles with Reasoning-Enhanced Small Vision-Language Models
- Flar-SVD: Fast and Latency-Aware Singular Value Decomposition for Model Compression
- Automatic Parasite Detection on Bivalve Shells Using Detection Transformer
- Fractional-Order Models for Platooning Systems
- A Simple Detector with Frame Dynamics is a Strong Tracker
- Leveraging Vision-Language Foundation Models to Reveal Hidden Image-Attribute Relationships in Medical Imaging
- NoiseZO: RRAM Noise-Driven Zeroth-Order Optimization for Efficient Forward-Only Training
- Human vs. Machine Minds: Ego-Centric Action Recognition Compared
- Zero-shot Image Recognition via Learning Dual Prototype Accordance Across Meta-domains
- All-in-Memory Stochastic Computing using ReRAM
- Privacy Preserving Federated Object Detection with Selective Semantic Fusion
- Bicycle Stabilization with Safety Guarantees
- PVUW 2025 Challenge Report: Advances in Pixel-Level Understanding of Complex Videos in the Wild
- Process-Variation-Aware Design Optimization for Wavelength-Routed Optical Networks-on-Chip
- Wavelet-Based Mechanistic Interpretability of Vision Transformers via Frequency-Aware Ablations
- Estimation method of electric vehicle battery remaining power based on particle filter algorithm
- NVR: Vector Runahead on NPUs for Sparse Memory Access
- Retinex-Guided Histogram Transformer for Mask-Free Shadow Removal
- Fast and Precise Liver Oncology Mapping: An IAROA-Optimised Dilated-Attention UNet Framework for Multitarget Abdominal CT Delineation
- Probabilistic Perspective-n-Lines for Indoor Camera Pose Estimation
- Research on multi-objective optimal scheduling of DC microgrid based on improved particle swarm optimization
- A Systematic Approach for Multi-objective Double-side Clock Tree Synthesis
- SARFormer - An Acquisition Parameter Aware Vision Transformer for Synthetic Aperture Radar Data
- Modeling Repurchase Intention in E-Commerce: An Improved SEM-PLS Approach for Digital Business
- A Fine-Grained Artist Identification Method for Authentication and Attribution of Drawings Using Hatching Lines
- Measurement-based uncomputation of quantum circuits for modular arithmetic
- OutlierCIM: Outlier-Aware Digital CIM-Based LLM Accelerator with Hybrid-Strategy Quantization and Unified FP-INT Computation
- Modeling the Online Impulsive Buying Behavior: An SEM-PLS Analysis for Perceived Enjoyment as a Mediator in Digital Business
- ACRS: Adjacent Computation Resource Sharing among Partitioned GPU Sub-Cores
- Structuring Complex System for Digital Twin Development, A Systematic Scoping Review
- SpecASR: Accelerating LLM-based Automatic Speech Recognition via Speculative Decoding
- Optimization of Integrating Sphere Structure for Partial Discharge Optical Sensor Calibration
- A Full-system, Programmable, and Extensible In-Memory Computing Simulation Framework for Deep Learning
- Meta-learning Gibbs sampling combined with the Transformer neural network for EV Charging Charging Forecasting
- GraphFI: An Efficient Fault Injection Framework for Graph Processing on GPGPUs
- April: Accuracy-Improved Floating-Point Approximation For Neural Network Accelerators
- Securing Pharmaceutical Supply Chains using AI-Integrated Blockchain Technology
- Regulation Strategy of Virtual Power Plant in the V2G-based Highway Scenario
- Segmentation of Hepatic Steatosis in a Histopathological Image Using U-Net-based Architecture
- AI-Enhanced Business Simulation Models for Strategic Decision-Making in Uncertain Environments
- The location method of single-phase grounding faults in distribution network overhead line engineering based on Bipopulation Firefly Algorithm-Genetic Algorithm
- Risk assessment of grid operation with wind power access under typhoon conditions
- AthletePose3D: A Benchmark Dataset for 3D Human Pose Estimation and Kinematic Validation in Athletic Movements
- Deep Learning based Ensemble Model for Intrusion Detection in IoT Network
- Hierarchical Semantic Segmentation with Autoregressive Language Modeling
- Event-Based Tracking and Imaging of Randomly Moving Objects in Dense Dynamical Scattering Media
- Scaling Laws of Graph Neural Networks for Atomistic Materials Modeling*
- Linear-Sinusoidal Air-Core Transformers Featuring Multicycle Passive Resonance for Wide-Input Low-Power Applications
- Research on the Control Strategy of a Three-Level Back-To-Back Converter with a Vienna Rectifier as the Front-End Stage
- Privacy Preserving Ordinal-Meta Learning with VLMs for Fine-Grained Fruit Quality Prediction
- PCB Nanogenerator-Based Pipeline Energy Harvester with A Simple Input Voltage Sampling Bridgeless AC-DC Converter
- Uncertainty-Guided Style-Aware Probabilistic Perceptual Quality Assessment for AI-Generated Images
- Prompt the Missing: Efficient and Robust Audio-Visual Classification Under Uncertain Modalities
- Analysis of Adaptive M-Ary QAM Modems for High Data Rate Transmission in Software-Defined Radio
- Diffusion Model for Relational Inference in Interacting Systems
- Best Linear Unbiased Estimation for 2D and 3D Flow with Event-Based Cameras
- DenSparSA: A Balanced Systolic Array Approach for Dense and Sparse Matrix Multiplication
- Zfusion: an Effective Fuser of Camera and 4D Radar for 3D Object Perception in Autonomous Driving
- Mixed-Precision Quantization for Deep Vision Models with Integer Quadratic Programming
- Understanding and Mitigating Toxicity in Image-Text Pretraining Datasets: A Case Study on LLaVA
- LLMPi: Optimizing LLMs for High-Throughput on Raspberry Pi
- Systematic Design of a Compact Lumped-Element Outphasing Class-E Power Amplifier for HF Band
- Selective Test-Time Domain Adaptation Using Fisher Information for Robust Facial Expression Recognition In-the-Wild
- ATLAS: A Self-Supervised and Cross-Stage Netlist Power Model for Fine-Grained Time-Based Layout Power Analysis
- Design of A Self-Decoupling Pulsed Eddy Current Array Coil Based on Magnetic Field Cancellation
- Secure Dual-Layer Access Control using Visual Cryptography and LSB Watermarking
- PracMHBench: Re-evaluating Model-Heterogeneous Federated Learning Based on Practical Edge Device Constraints
- Me-MPK: Accelerating Krylov Subspace Solvers via Memory-efficient Matrix-Power Kernel
- Interactive Multimodal Framework with Temporal Modeling for Emotion Recognition
- Short-Term Photovoltaic Power Prediction Based on GWO-CNN-LSTM-MATT Hybrid Model
- ReVeil: Unconstrained Concealed Backdoor Attack on Deep Neural Networks using Machine Unlearning
- X-SAT: An Efficient Circuit-Based SAT Solver
- Training Neural Networks on RAW and HDR Images for Restoration Tasks
- Zero-Shot Denoising for Fluorescence Lifetime Imaging Microscopy with Intensity-Guided Learning
- MILLION: MasterIng Long-Context LLM Inference Via Outlier-Immunized KV Product QuaNtization
- Turin3D: Evaluating Adaptation Strategies Under Label Scarcity in Urban Lidar Segmentation with Semi-Supervised Techniques
- Contention-Aware Forecasting of Energy Efficiency through Sequence-Based Models in Modern Heterogeneous Processors
- AdreamDCO: AI-Driven Robust and Efficient Design Automation for Digitally Controlled Oscillators
- Enabling On-Tiny-Device Model Personalization via Gradient Condensing and Alternant Partial Update
- DWFDA-CD:A Diffusion Model-based Wavelet Frequency Domain Attention Network for Remote Sensing Change Detection
- Speech Emotion Recognition(SER) Using CNN, Fully Connected Layers, BiLSTM, and Bayesian Optimization for Parameter Tuning
- PICK: An SRAM-based Processing-in-Memory Accelerator for K-Nearest-Neighbor Search in Point Clouds
- A Sensor Agnostic Domain Generalization Framework for Leveraging Geospatial Foundation Models: Enhancing Semantic Segmentation via Synergistic Pseudo-Labeling and Generative Learning
- Insights from Rights and Wrongs: A Large Language Model for Solving Assertion Failures in RTL Design
- Safe-Construct: Redefining Construction Safety Violation Recognition as 3D Multi-View Engagement Task