- Novel Performance Driven Control of Switched Reluctance Motors Using an Adaptive Hybrid Intelligent Direct Torque Control Minimum Sector Selection Scheme
- Ego4o: Egocentric Human Motion Capture and Understanding from Multi-Modal Input
- Reconstructed Multi-Scale Feature Fusion Network for Breast Tumor Classification
- FastVLM: Efficient Vision Encoding for Vision Language Models
- Zero-Shot Head Swapping in Real-World Scenarios
- Fully Wireless ASIC with MagSonic Operation Using Magnetoelectric Transducer for Neural Stimulation and Recording
- Multi-Scaled Lightweight Neural Network Based ARC Fault Diagnosis: Feature Combination and Classification
- Detecting Adversarial Data Using Perturbation Forgery
- Advancing Adversarial Robustness in GNeRFs: The IL2-NeRF Attack
- DUNE: Distilling a Universal Encoder from Heterogeneous 2D and 3D Teachers
- Performance Evaluation of IM Drive Operated with Synchronous Sine-Triangle PWM with Odd Non-Triplen Pulse Number
- Design And Validation Of Low Power Low Area High Speed Mixed Logic 4 Bit Comparator
- Adaptive Unimodal Regulation for Balanced Multimodal Information Acquisition
- Prediction of Alzheimer’s Disease Progression using Attention U-Net
- Study of TEG-Heatsink Pairs for Indoor Thermal Energy Harvesting Applications
- Any-Resolution AI-Generated Image Detection by Spectral Learning
- SemiETS: Integrating Spatial and Content Consistencies for Semi-Supervised End-to-end Text Spotting
- SLAM3R: Real-Time Dense Scene Reconstruction from Monocular RGB Videos
- Zero-Shot Image Restoration Using Few-Step Guidance of Consistency Models (and Beyond)
- Dynamic voltage equalization approach for seriesconnected SiC MOSFETs Body Diodes
- ShotAdapter: Text-to-Multi-Shot Video Generation with Diffusion Models
- Just Dance with π! A Poly-modal Inductor for Weakly-supervised Video Anomaly Detection
- M3-RAG: Unified Multimodal and Multilingual Retrieval-Augmented Generation
- Enhancing Few-Shot Class-Incremental Learning via Training-Free Bi-Level Modality Calibration
- Joint Optimization of Secrecy Rate and Energy Consumption for RSMA in SAGIN via MADRL
- RICCARDO: Radar Hit Prediction and Convolution for Camera-Radar 3D Object Detection
- DALNN: Dual Attention Learning Neural Network for Diagnosis of Autism Spectrum Disorders and Exploration of Lesion Brain Regions
- MUST: The First Dataset and Unified Framework for Multispectral UAV Single Object Tracking
- DynRefer: Delving into Region-level Multimodal Tasks via Dynamic Resolution
- BADGR: Bundle Adjustment Diffusion Conditioned by GRadients for Wide-Baseline Floor Plan Reconstruction
- Improve Representation for Imbalanced Regression through Geometric Constraints
- An Active Filter Compensation Solution for High Power Energy Sources
- Stereo Anywhere: Robust Zero-Shot Deep Stereo Matching Even Where Either Stereo or Mono Fail
- Link to the Past: Temporal Propagation for Fast 3D Human Reconstruction from Monocular Video
- Human Action Recognition Algorithm Based on Highresolution Skeletal Images
- Adaptive-FEM-Based Local Coarsening Algorithm for Quadrilateral Meshes
- StyleMaster: Stylize Your Video with Artistic Generation and Translation
- FreeUV: Ground-Truth-Free Realistic Facial UV Texture Recovery via Cross-Assembly Inference Strategy
- Rethinking Token Reduction with Parameter-Efficient Fine-Tuning in ViT for Pixel-Level Tasks
- Adv-Cpg: A Customized Portrait Generation Framework with Facial Adversarial Attacks
- POSTA: A Go-to Framework for Customized Artistic Poster Generation
- An Automatic Traceback Method From Executable Code to C Source Code for DSP
- LeanGaussian: Breaking Pixel or Point Cloud Correspondence in Modeling 3D Gaussians
- A Unified Approach to Interpreting Self-supervised Pre-training Methods for 3D Point Clouds via Interactions
- Navigating Sustainability and Legal Constraints in Software Engineering for the Battery Industry: A Research Agenda
- Visualizing MPI Collective Communication
- Depth-Guided Bundle Sampling for Efficient Generalizable Neural Radiance Field Reconstruction*
- Adaptive Pufferfish based Network Slicing and Scheduling Control in O-RAN for Next Generation Cellular Networks
- ViKIENet: Towards Efficient 3D Object Detection with Virtual Key Instance Enhanced Network
- Learning Bijective Surface Parameterization for Inferring Signed Distance Functions from Sparse Point Clouds with Grid Deformation
- Rock Physics Model Constrained Viscoacoustic Full Waveform Inversion for Saturation and Porosity Estimation
- Thunderstorm Prediction Model Using Hybrid Clustering and Machine Learning Approach
- CoCoGaussian: Leveraging Circle of Confusion for Gaussian Splatting from Defocused Images
- Geometry in Style: 3D Stylization via Surface Normal Deformation
- LogAD-SWFMF: An Unsupervised Log Anomaly Detection Model Based on Static Weighted Fusion of Multi-Features
- Traction-Based Topology Reconstruction for UAV Anti-Jamming Networking: A Game-Theoretical Strategy
- Model Diagnosis and Correction via Linguistic and Implicit Attribute Editing
- MVPortrait: Text-Guided Motion and Emotion Control for Multi-view Vivid Portrait Animation
- Seeing the Abstract: Translating the Abstract Language for Vision Language Models
- Rewind: Real-Time Egocentric Whole-Body Motion Diffusion with Exemplar-Based Identity Conditioning
- Enhancing Transferability Via Spectral Alignment and Grad-CAM Guided Latent Diffusion Models
- ADD: Attribution-Driven Data Augmentation Framework for Boosting Image Super-Resolution
- Enhancing Vessel Situational Awareness Through Multimodal Fusion of Radar Images and AIS Data
- Simplification Is All You Need against Out-of-Distribution Overconfidence
- A Stiffness-Enhanced Extensible Continuum Surgical Robot: Design, Modeling, and Evaluation
- Seeing is Not Believing: Adversarial Natural Object Optimization for Hard-Label 3D Scene Attacks
- Single-Objective Optimization Based on 0-1 Programming
- GaussHDR: High Dynamic Range Gaussian Splatting via Learning Unified 3D and 2D Local Tone Mapping
- Revolutionizing Brain Tumor Diagnosis using Convolutional Neural Networks
- Optimizing Tower Footing Resistance and Arcing Horn Length for Improving Lightning Performance on 275 Kv Transmission Lines
- Initial Set Point Prediction of Adaptive PI Controller using Machine Learning Algorithm
- Periodic Event-Triggered Output-Feedback Control of Stochastic Nonlinear Systems With Flexible Tracking Performance
- Research on Fishing Vessel Operation Type Recognition Based on CNN-LSTM
- Assessing Creativity and Risk-Taking in Corporate Entrepreneurs: An Experimental Pre-Test Design
- Autoregressive Sequential Pretraining for Visual Tracking
- Phoenix: A Motion-Based Self-Reflection Framework for Fine-Grained Robotic Action Correction
- VODiff: Controlling Object Visibility Order in Text-to-Image Generation
- Evaluating the Use of NORM Residues in Building Restoration: A Risk Assessment Approach Using ERICA and NORMALYSA
- Structure-From-Motion with a Non-Parametric Camera Model
- An Industrial Application Software Testing Framework Using Explanatory Intelligence Based on Task Logic
- 3D-GSW: 3D Gaussian Splatting for Robust Watermarking
- Video-Guided Foley Sound Generation with Multimodal Controls
- Geometry-guided Online 3D Video Synthesis with Multi-View Temporal Consistency
- SINR: Sparsity Driven Compressed Implicit Neural Representations
- Active Elastic Scaling Strategy Based on Spatio-Temporal Graph Neural Network
- From Words to Structured Visuals: A Benchmark and Framework for Text-to-Diagram Generation and Editing
- Enduring, Efficient and Robust Trajectory Prediction Attack in Autonomous Driving via Optimization-Driven Multi-Frame Perturbation Framework
- Q-PART: Quasi-Periodic Adaptive Regression with Test-time Training for Pediatric Left Ventricular Ejection Fraction Regression
- Towards Universal Dataset Distillation via Task-Driven Diffusion
- FlexDrive: Toward Trajectory Flexibility in Driving Scene Gaussian Splatting Reconstruction and Rendering
- Apply Hierarchical-Chain-of-Generation to Complex Attributes Text-to-3D Generation
- Boosting the Dual-Stream Architecture in Ultra-High Resolution Segmentation with Resolution-Biased Uncertainty Estimation
- HyperNet Fields: Efficiently Training Hypernetworks without Ground Truth by Learning Weight Trajectories
- Your Scale Factors are My Weapon: Targeted Bit-Flip Attacks on Vision Transformers via Scale Factor Manipulation
- Improvement of PMSM Loss Estimation Accuracy Focusing on Over 50,000rpm
- Assessment of Insider Threats in Computer Networks and Mitigation Techniques
- Quadratic Switched Inductor-Capacitor Multi-Port Converter for DC Microgrid Application
- Decoupling Training-Free Guided Diffusion by ADMM
- A Method for Reducing AC Battery Current in Dual-Source Train Fed by Battery and AC Catenary
- Cooperative Localization Via Semidefinite Programming for Transmitters and Reflectors