- SynGPU: Synergizing CUDA and Bit-Serial Tensor Cores for Vision Transformer Acceleration on GPU
- Condimen: Conditional Multi-Person Mesh Recovery
- TLAC: Two-Stage LMM Augmented CLIP for Zero-Shot Classification
- STRRNet: Semantics-Guided Two-Stage Raindrop Removal Network
- Intelligent Data Processing for IoT Real-Time Analytics and Predictive Modeling
- AI-Driven Chatbots and Brand Perception: A Study on Conversational UX in Digital Marketing
- Highly integrated three-port power spring based on reactive power optimization modulation strategy
- MLOps for Improved Inferencing, Deployability and Observability of Recommendation Engine
- Implementation of LSTM Optimized by Simulated Annealing for Toxicity Prediction: Case Study AR-LBD Toxicity
- Multi-Agent Yield Analysis For Circuit Design
- Centralized and Distributed Controller Placement in Terms of Scalability and Fault Tolerance: A Review
- Autonomous Robot for Ecological Removal of the Colorado Potato Beetle
- Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction
- Iterative Event-Based Motion Segmentation by Variational Contrast Maximization
- Revolutionizing Drug Discovery: Integrating Spatial Transcriptomics with Advanced Computer Vision Techniques
- Invited: SambaNova SN40L: Unleashing Agentic AI with Dataflow
- ELF: Efficient Logic Synthesis by Pruning Redundancy in Refactoring
- LA-MTL: Latency-Aware Automated Multi-Task Learning
- SynCircuit: Automated Generation of New Synthetic RTL Circuits Can Enable Big Data in Circuits
- Real-time Speech Emotion Detection in Employees using Multimodal Emotion Recognition
- A Robot-Agnostic Framework to Learn Position-Force Controlled Robotic Applications
- Knowledge Distillation Approach for SOS Fusion Staging: Towards Fully Automated Skeletal Maturity Assessment
- SuperFast: Fast Supernet Training Using Initial Knowledge
- A Privacy First Path Analysis using Clickstream Data
- PIMPAL: Accelerating LLM Inference on Edge Devices via In-DRAM Arithmetic Lookup
- A Concept of the Multivariable Inverse Model Control for Grünwald–Letnikov-Derived Systems Respecting the Time Delay $d=2$
- Exploiting Polarization Domain of the IOS for Enhanced Full-Dimensional Transmission
- AutoSkewBMT: Autonomously Synthesizing Optimized Integrity Authentication Mechanism for DNN Accelerators
- Stochastic-Based Patch Filtering for Few-Shot Learning
- Data Scaling Laws for End-to-End Autonomous Driving
- Parallel Dynamic Partitioning for Datapath Combinational Equivalence Checking
- Learning to Drive from a World Model
- Human-Robot Navigation Using Event-Based Cameras and Reinforcement Learning
- QuantEdge: A Hybrid Quantization Approach for Optimized AI Deployment Across Edge Devices
- Efficient 2D to Full 3D Human Pose Uplifting Including Joint Rotations
- Online Parameter Identification of Cost Functions in Generalized Nash Games
- Climate-Aware Crop Yield Forecasting Using Hybrid Statistical-Machine Learning Methods: A Case Study of Odisha, India
- Object Detection Data Synthesis via Box-to-Image Generation based on Diffusion Models
- Beyond Raw Videos: Understanding Edited Videos with Large Multimodal Model
- Multi-Aspect Sentiment Analysis on KAI Access App Reviews (Google Play Store) Using CNN-LSTM Method
- YOLOv5 Meets ISOA: A Bio-Inspired Optimization Framework for Fall Detection and Localization
- Integrating Homomorphic Encryption and Synthetic Data in FL for Privacy and Learning Quality
- Feasible Domain Analysis of Resource Aggregation for Building Groups Flexibility Based on Improved Enumeration Method
- Performance Analysis of Active RIS-aided Wireless Communication Systems over Nakagami-m Fading Channel
- SSDTrain: An Activation Offloading Framework to SSDs for Faster Large Language Model Training
- TetrisLock: Quantum Circuit Split Compilation with Interlocking Patterns
- Geometry-Aware Texture Generation for 3D Head Modeling with Artist-Driven Control
- ClusterKV: Manipulating LLM KV Cache in Semantic Space for Recallable Compression
- RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning
- ScoreCAM++: Gated Score-Weighted Visual Explanations for CNNs
- Sporadic Federated Learning Approach in Quantum Environment to Tackle Quantum Noise
- Training Data Reconstruction: Privacy Due to Uncertainty?
- Bridging Self-Supervision and Mechanism of Action Discovery in Morphological Profiling
- Easz: An Agile Transformer-based Image Compression Framework for Resource-constrained IoTs
- Making Every Event Count: Balancing Data Efficiency and Accuracy in Event Camera Subsampling
- Graph in the Vault: Protecting Edge GNN Inference with Trusted Execution Environment
- Research on the dynamic calculation model of carbon emissions during the operating phase of low-carbon parks based on accounting system
- Beyond Neurofibrillary Tangles: Explainable AI for Microscopic Tauopathy Classification in Immunofluorescence Imaging
- Enhanced Pixel Value Differencing in YCbCr for High-Capacity
- MSPL-VAD: Multi-Stage Pseudo-Labeling framework for Video Anomaly Detection
- Available Service Life Analysis of Surge Arrester Based on Cross-Provincial Decommission Records
- LLMShare: Optimizing LLM Inference Serving with Hardware Architecture Exploration
- Vision Language Models for Massive MIMO Semantic Communication
- ParGNN: A Scalable Graph Neural Network Training Framework on multi-GPUs
- Multi-Stage Coordination Framework for Electric Vehicle Charging-Swapping Stations in Dynamic Electricity Spot Markets
- IoT-Enabled Smart Helmet for Accident Detection and Rider Safety Compliance
- Classification of Alzheimer’s Disease based on MRI Image using Convolutional Neural Network
- PARO: Hardware-Software Co-design with Pattern-aware Reorder-based Attention Quantization in Video Generation Models
- U-Shape Mamba: State Space Model for Faster Diffusion
- Machine Learning-based Electricity Theft Detection Considering Customer Consumption Pattern and Geographical Condition
- VSC-HVDC Power Module with Active Energy Release Function
- A Sliding Mode Control Strategy Based on RBF Neural Network for Grid-connected Inverter
- Instance Feature Caching for Cross-Domain Few-Shot Object Detection
- A BMO-Optimized Bi-LSTM Framework for Robust Intrusion Detection in IoT and Network Environments
- Hybrid AI-Physical Modeling for Penetration Bias Correction in X-Band InSAR DEMs: A Greenland Case Study
- Camera-Only 3D Panoptic Scene Completion for Autonomous Driving Through Differentiable Object Shapes
- BBAL: A Bidirectional Block Floating Point-Based Quantisation Accelerator for Large Language Models
- Nadirfloornet: Reconstructing Multi-Room Floorplans from a Small Set of Registered Panoramic Images
- Privacy-Preserving Misbehavior Detection in IoV using Federated Learning and Blockchain
- NTIRE 2025 Challenge on Real-World Face Restoration: Methods and Results
- AI-Powered Network Traffic Analysis: Simulation, Anomaly Detection and Classification
- HoBBy: Hardening Unbalanced Branches against Control Flow Attacks on Intel SGX and AMD SEV
- Robust Stage-Wise LVLM Adaptation: Multi-Phase Prompt Lora Fine-Tuning for Compound Expression Recognition
- Petahilirisasi.Id Geodashboard: Land Cover Change Detection Based-On Landsat For Downstreaming Nickel, Bauxite And Silica Sand Areas
- Proc-Gs: Procedural Building Generation for City Assembly with 3D Gaussians
- Deep Reinforcement Learning for Mobile Robot Navigation in Dynamic Environments
- CREST-CiM: Cross-Coupling-Enhanced Differential STT-MRAM for Robust Computing-in-Memory in Binary Neural Networks
- Formation Control of Three Unstable Robots
- Fast End-to-End Simulation and Exploration of Many-RISCV-Core Baseband Transceivers for Software-Defined Radio-Access Networks
- Flexibility Quantitative Modeling of Supply and Demand for Renewable Energy Power System
- Optimal Sizing of Photovoltaic-Energy Storage-Charging Pile System Using Particle Swarm Optimization
- Shape and Topology Optimization for Network of Timoshenko Beams
- Gamification in LMS: Improving Student Motivation and Performance in Higher Education English Courses
- Stress Cone Optimization for Field Regulation in Cable Terminals
- Late Breaking Results: Opera: An Open and Efficient Platform for Data-driven Synthesis of Analog Circuits
- Towards In-Situ Neuromorphic Computing Architecture for Event Stream Super-Resolution
- SSpMV: A Sparsity-aware SpMV Framework Empowered by Multimodal Machine Learning
- Design and Evaluation of a Web-Based E-Commerce Platform with 3D Visualization for Stone Crusher Machinery
- A Fast Transient Response Fully Integrated LDO With a Novel Resetting Oscillator Control Method
- Federated Learning Framework for Privacy-Preserving Health Monitoring via IoT Devices