- Event-based Video Super-Resolution via State Space Models
- Study on Localized Lightning Strike Prediction Using Machine Learning: Validation Using the Vector Autoregression Model
- Adaptive Dropout: Unleashing Dropout across Layers for Generalizable Image Super-Resolution
- Multi-Label Prototype Visual Spatial Search for Weakly Supervised Semantic Segmentation
- VLog: Video-Language Models by Generative Retrieval of Narration Vocabulary
- Auto-Encoded Supervision for Perceptual Image Super-Resolution
- Semantic and Expressive Variation in Image Captions Across Languages
- SCAP: Transductive Test-Time Adaptation via Supportive Clique-based Attribute Prompting
- Reconfigurable and Compact Modular Polynomial Multiplier in Galois Field for the Security of IoT
- A Genetic Algorithm–Sparse Bayesian Joint Optimization Modeling Approach for Efficient Predistortion
- Risk-Aware Robotics: Tail Risk Measures in Planning, Control, and Verification [Focus on Education]
- Efficient Routing Congestion Prediction in Chip Design: Integrating Netlist Structure and Design Specifications With Heterogeneous Graph Attention Networks
- Flexible Frame Selection for Efficient Video Reasoning
- Block Tag Updatable Certificate-Based Integrity Auditing for Long-Term Cloud Storage
- Exploring Communication Anomalies in Chapel
- Aerial-Marine Cross-Domain Uncrewed Systems: An Overview of Cyberphysical Coordination Frameworks for Marine Applications
- Reproducible Vision-Language Models Meet Concepts Out of Pre-Training
- Smart Video Surveillance for Public Safety
- Explicit Depth-Aware Blurry Video Frame Interpolation Guided by Differential Curves
- StarVector: Generating Scalable Vector Graphics Code from Images and Text
- DeepLA-Net: Very Deep Local Aggregation Networks for Point Cloud Analysis
- Cryptocurrency Market Price Prediction using Data Science and Machine Learning Techniques
- Named Entity Recognition for Smart City Data Streams: Enhancing Visualization and Interaction
- 4Real-Video: Learning Generalizable Photo-Realistic 4D Video Diffusion
- DVHGNN: Multi-Scale Dilated Vision HGNN for Efficient Vision Recognition
- SLDB: An End-To-End Heterogeneous System-on-Chip Benchmark Suite for LLM-Aided Design
- Sampling Innovation-Based Adaptive Compressive Sensing
- Optimizing Speech Emotion Recognition with Dynamic Dilation Rates for Efficient Edge Deployment
- Simultaneous Enhancements of Bandwidth and Isolation of Frame Monopoles Utilizing Elongated Back Cover Patches for Smartphones
- A Feedforward-based Control Methodology for Back-to-Back Testing of Traction Inverter
- CasaGPT: Cuboid Arrangement and Scene Assembly for Interior Design
- Forming Auxiliary High-confident Instance-level Loss to Promote Learning from Label Proportions
- A Differential-Based Broad-Band Electric Field Sensor for Detecting Lightning-Induced Electromagnetic Radiation Signals
- A Dynamic Capacitive Wireless Power Transfer System using Four Vertical Plates for Electric Mobility Applications
- NVComposer: Boosting Generative Novel View Synthesis with Multiple Sparse and Unposed Images
- Asynchronous Collaborative Graph Representation for Frames and Events
- Deterministic Certification of Graph Neural Networks against Graph Poisoning Attacks with Arbitrary Perturbations
- Reasoning to Attend: Try to Understand How <SEG> Token Works
- Rethinking Spiking Self-Attention Mechanism: Implementing α-XNOR Similarity Calculation in Spiking Transformers
- Application of Partial Discharge and Operational Parameters in Online Early Warning Systems for Enhanced Generator Reliability
- Cal-Yolov8: an Object Detection Algorithm for Multi-Scale Uav Aerial Images in Complex Scenes
- Bidirectional Isolated Half Bridge Three-level Resonant DC-DC Converter and Optimized Modulation Strategy
- Data-free Universal Adversarial Perturbation with Pseudo-semantic Prior
- Smart Groundwater Recharge Management using Cloud Computing and Gradient Boosting Machines
- Fast Terminal Sliding Mode Control with Nonlinear Disturbance Observer for Buck Converter with Space Vector Pulse Width Amplitude Modulation
- Analysis of the Effect of Installing Polymer Insulators and Dedicated Grounding Systems on the Number of Faults Due to Lightning Strikes of Transmission 150 Kv
- Mesh Mamba: A Unified State Space Model for Saliency Prediction in Non-Textured and Textured Meshes
- D 3 : Scaling Up Deepfake Detection by Learning from Discrepancy
- PosterMaker: Towards High-Quality Product Poster Generation with Accurate Text Rendering
- Layer-Interaction DeepONet for modeling ultrafast nonlinear dynamics in optical fibers
- Transformers without Normalization
- Design and Deployment of a Remaining Useful Life Estimation Algorithm of Power Switches in a Cloud Computing Environment
- Not Only Text: Exploring Compositionality of Visual Representations in Vision-Language Models
- Hiding Images in Diffusion Models by Editing Learned Score Functions
- Design and Implementation of Assistive Robot Arm for the Hemiparetic Patients
- Enhanced then Progressive Fusion with View Graph for Multi-View Clustering
- Balancing Two Classifiers via A Simplex ETF Structure for Model Calibration
- Design and Development of Model Predictive Control for Enhanced Performance of SIMO DC-DC Converter
- Towards embedded AI models for welding defect detection in pipes
- CTRL-O: Language-Controllable Object-Centric Visual Representation Learning
- A Discontinuous Modulation Scheme on a ZVS Differential Mode Resonant Switched Capacitor Buck Inverter
- OpenING: A Comprehensive Benchmark for Judging Open-ended Interleaved Image-Text Generation
- Enabling Manual-Controllable Compilation for Dataflow CGRAs
- Learnable Prompts with Neighbor-aware Correction for Text-based Person Search
- Take the Bull by the Horns: Learning to Segment Hard Samples
- Enhancing Autism Detection through Multi-Algorithm Fusion
- Blind-Assisted Question Answering Optimization Model Based on Llava
- Theory-Inspired Deep Multi-View Multi-Label Learning with Incomplete Views and Noisy Labels
- Grounding 3D Object Affordance with Language Instructions, Visual Observations and Interactions
- Dynatune: Dynamic Tuning of Raft Election Parameters Using Network Measurement
- UMFN: Unified Multi-Domain Face Normalization for Joint Cross-domain Prototype Learning and Heterogeneous Face Recognition
- Improved Switching Performance and Active Current Sharing for SiC Modules in the Skewed-Composite Bridge-Leg Arrangement
- HDLCoRe: A Training-Free Framework for Mitigating Hallucinations in LLM-Generated HDL
- Application of Dynamic Fault Tree in Reliability Assessment of Diverse Actuation Systems in Nuclear Power Plants
- Alternating Iterative Optimization with Matrix Decomposition for Calibration-Free Rotation Angle Estimation and Polarization Reconstruction
- Advancing Semantic Future Prediction through Multimodal Visual Sequence Transformers
- Numerical Simulation Analysis of the Direct Effects of Lightning on Electric Vehicles
- 3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer
- Docopilot: Improving Multimodal Models for Document-Level Understanding
- Similarity-Guided Layer-Adaptive Vision Transformer for UAV Tracking
- Hierarchical Features Matter: A Deep Exploration of Progressive Parameterization Method for Dataset Distillation
- Global-Local Tree Search in VLMs for 3D Indoor Scene Generation
- ChatGen: Automatic Text-to-Image Generation From FreeStyle Chatting
- Enhanced Sugarcane Leaf Disease Prediction Using Deep Learning Models
- Spatial-Temporal Graph Diffusion Policy with Kinematic Modeling for Bimanual Robotic Manipulation
- EigenGS Representation: From Eigenspace to Gaussian Image Space
- Enhanced Contrastive Learning with Multi-view Longitudinal Data for Chest X-ray Report Generation
- Multi-Modal Synergistic Implicit Image Enhancement for Efficient Optical Flow Estimation
- Topological Identicality Between Converters of Otherwise Dissimilar SMPCs: Current Doubler Rectifier and Interleaved Buck Converter
- Multiple STAR-RISs-Empowered Multi-User Communications with Diversified QoS Provisioning
- FDTD Analysis of Electric Fields at Ground Level Generated by Compact Intracloud Discharges
- Adaptive Non-uniform Timestep Sampling for Accelerating Diffusion Model Training
- Hierarchical Knowledge Prompt Tuning for Multi-task Test-Time Adaptation
- Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual Attacks
- Big Data-Based Analysis and Prediction Model for Disease Risk Factors
- UHD-processer: Unified UHD Image Restoration with Progressive Frequency Learning and Degradation-aware Prompts
- Learning to Filter Outlier Edges in Global SfM
- Anti-Windup Adaptive PID Control for Trajectory Tracking in Input-Constrained Power Converters
- ReNeg: Learning Negative Embedding with Reward Guidance
- Multi-modal Vision Pre-training for Medical Image Analysis