- Virtual Pose Coach: A Motion-Retargeting Approach for Pose Training
- Maximum Entropy Principle: Applicability and Adaptability in Wireless Fading Channels
- An Efficient Compute-in-Memory based Accelerator for Point-based Point Cloud Neural Networks
- Research on Fault Section Location Method of Mining Area Distribution Network Based on Peak Polarity of Fault Current Mutation Quantity
- IL-NeRF: Incremental Learning for Neural Radiance Fields with Camera Pose Alignment
- Decomposing Food Images for Better Nutrition Analysis: a Nutritionist-Inspired Two-Step Multimodal Llm Approach
- Event-Conditioned Dual-Modal Fusion for Motion Deblurring
- Self-Supervised Pretraining for Fine-Grained Plankton Recognition
- How Do Engineering Students View And Use Generative AI For Learning? Exploring Their Habits, Beliefs, And Attitudes
- Simulation and Research of High-temperature Heat Pump Based on Waste Heat Utilization
- Attacking Attention of Foundation Models Disrupts Downstream Tasks
- ZION: A Practical Confidential Virtual Machine Architecture on Commodity RISC-V Processors
- Digital Implementation of Switching Model-Based Inductance Identification for IPMSM under Sensorless Control
- CAE-DFKD: Bridging the Transferability Gap in Data-Free Knowledge Distillation
- Strong Baseline: Multi-UAV Tracking via YOLOv12 with BoT-SORT-ReID
- AutoClock: Automated Clock Management for Power-Efficient HLS Designs on FPGAs
- ESM: A Framework for Building Effective Surrogate Models for Hardware-Aware Neural Architecture Search
- Reactive Power and Voltage Online Optimization Control Strategy for Urban High-Voltage Power Grid with UPFCs
- Road Damage Semantic Segmentation Using LETNet
- Enhance Then Search: an Augmentation-Search Strategy with Foundation Models for Cross-Domain Few-Shot Object Detection
- Enhancing Paging Efficiency: An Adaptive Clustering and Routing Technique in 5G Wireless Network
- Construction of Knowledge Graph in the power Field Based on Language model
- To Match or Not to Match: Revisiting Image Matching for Reliable Visual Place Recognition
- Security Opportunities and Challenges for Disaggregated Architectures (Invited)
- Forecasting Air Quality: A Comparative Study of LSTM, Prophet, and XGBoost
- Data Augmentation with Synonym Replacement and Random Insertion for Fake News Classification
- Towards Efficient Benchmarking of Foundation Models in Remote Sensing: A Capabilities Encoding Approach
- Emotions in LatAm: A New Dataset and Benchmark for Emotion Recognition in Latin America
- Research on resonance suppression of LCL grid connected inverter based on capacitive current feedback
- Blockchain Data Structure-Based Verification Method for Relay Protection Setting File
- Deep Learning Based Web Application for Prediction of Bone Age Range and Gender
- Late Breaking Results: FPGen-3D: Automated Framework for 3D-FPGA Architecture Generation and Exploration
- E-morphic: Scalable Equality Saturation for Structural Exploration in Logic Synthesis
- Alzheimer’s Disease Detection from MRI Scans using Deep Hybrid Architecture with Metaheuristic Hyperparameter Tuning
- Adversarially Domain-Adaptive Latent Diffusion for Unsupervised Semantic Segmentation
- NTIRE 2025 Challenge on Night Photography Rendering
- Voltage Sag Analysis Using Quantum Computing Based on Gram Matrix Method
- Mtevent: a Multi-Task Event Camera Dataset for 6D Pose Estimation and Moving Object Detection
- ExaM: Unsupervised Concept-Based Representation Learning to Better Explain Models in Vision Tasks
- Exploring Modality Guidance to Enhance VFM-Based Feature Fusion for UDA in 3D Semantic Segmentation
- A Study on Sampling Stochastic Dynamic Programming for Long-term Hydropower Operation
- Efficient Malware Detection with Optimized Learning on High-Dimensional Features
- An Intelligent Fetal Health Diagnosis Framework Leveraging a RVFLN with Feature Selection Techniques
- SLDP-LoRA: A Privacy-Preserving Split Learning Framework With Low-Rank Adaptation
- Optimized Feature Selection and Self-Attention- Enhanced Deep Learning Model for Gold Price Prediction
- Multi-Objective Optimization of Capacity and Power Allocation for Energy Storage Systems in Wind-Photovoltaic- Energy Storage Power Station Microgrid
- Efficient Image Generation with Variadic Attention Heads
- A Hybrid Simulated Annealing-Particle Swarm Algorithm for MPPT in PV Systems
- Window Token Concatenation for Efficient Visual Large Language Models
- A High-Precision and Low-Cost Approximate Transform Accelerator for Video Coding
- Exploring the Supportive Factors of E-Learning Effectiveness: A Study of Private University Students in Online Learning Environments
- Research on Air-blast Arc Quenching Method Based on Precision Measurement and Control
- VQT-CiM: Accelerating Vector Quantization Enhanced Transformer with Ferroelectric Compute-in-Memory
- VSG Control Strategy Based on Virtual Inertia and Damping Adaptive Control
- CTC: Contribution to Classification of Complex Features
- Cycle Training with Semi-Supervised Domain Adaptation: Bridging Accuracy and Efficiency for Real-Time Mobile Scene Detection
- Research on Systematic O&M of Distribution Network via UAV Intelligent Inspection
- ePBR: Extended PBR Materials in Image Synthesis
- Prediction of distributed photovoltaic power based on data interpolation with SE-CNN-BiGRU fusion model
- Research on delay compensation algorithm based on FCS-MPCC for photovoltaic power generation system
- A New Region Ocean Sound Velocity Field Model Considering Variation Mechanisms of Temperature and Salt
- Harmonizing Attention Fields with Knowledge Distillation for Multi-View 3D Object Detection
- Research on Disaster Early Warning and Emergency Response System for Underground Cables Based on Digital Twin
- Combining Vision-Language Models and Weak Supervision for Nuanced Vision Classification Tasks
- Efficient Self-Supervised Learning for Earth Observation via Dynamic Dataset Curation
- FineCausal: A Causal-Based Framework for Interpretable Fine-Grained Action Quality Assessment
- The Sphere Decoding with Probabilistic Constraint for Multi-Step MPC of PMSM
- FullCycle: Full Stage Adversarial Attack for Reinforcement Learning Robustness Evaluation
- FaceGest: A Comprehensive Facial Gesture Dataset for Human-Computer Interaction
- HIVE: A High-Priority Victim Cache for Accelerating GPU Memory Accesses
- Enhancing IoT Intrusion Detection with Greylag Goose Optimization and Extreme Learning Machine: A Data-Driven Study on IoT23
- Detection and Localization of Drones and UAVs Using Sound and Vision
- Research on Wind Resource Utilisation from the Perspective of Wind Speed and Turbine Matching
- Efficient Weight Mapping and Resource Scheduling on Crossbar-based Multi-core CIM Systems
- Research on Mirror Closed Loop Testing Technology for Substation Control System Retrofit
- Fault Ride-Through Method for Receiving-End Converter Stations of VSC-HVDC Considering the Adjacent Wind Turbines
- Drive4C: A Closed-Loop Benchmark on what Foundation Models Really Need to be Capable of for Language-Guided Autonomous Driving
- Bridging Morphology and Molecular Signatures: Multi-Task Deep Learning for Multi-Omics Prediction from Histopathology
- Analyzing Sentiment Correlation Between Social and Mass Media on Jakarta Air Quality in 2024 Using IndoBERT
- SwarmDiff: Swarm Robotic Trajectory Planning in Cluttered Environments via Diffusion Transformer
- NTIRE 2025 Challenge on Raw Image Restoration and Super-Resolution
- Expanding Logical Space Freely: A Memory-efficient Mapping Table Design for Compressional SSDs
- Property-driven Parallel Symbolic Model Checking of LTL
- LightRIM: Light Runtime Integrity Measurement for Linux Kernels in Embedded Applications
- Design Of Remote Gas Meter Reading System Based on STM32
- Privacy-Preserving Data Integrity in Cloud Computing: A Review of Hashing and Verification Techniques
- Free and Fair Hardware: A Pathway to Copyright Infringement-Free Verilog Generation using LLMs
- Towards Exploring Continual Learning for Toxicologic Pathology in Pharmaceutical Drug Discovery
- Universal Method for Enhancing Dynamics in Neural Networks via Memristor and Application in IoT-Based Robot Navigation
- FF-INT8: Efficient Forward-Forward DNN Training on Edge Devices with INT8 Precision
- A Credit Rate Round-robin (CRR) Scheduling to Avoid Priority Assignment for Real-time Networks
- Domain Generalization for Semantic Segmentation: A Survey
- Investigating Mechanisms for In-Context Vision Language Binding
- Towards Low-Latency Event-Based Obstacle Avoidance on a FPGA-Drone
- FedCIAL: Federated Color-Invariant Adversarial Learning for Enhancing Fairness and Performance in Skin Lesion Classification
- CLIPDraw++: Text-to-Sketch Synthesis with Simple Primitives
- Analysis of the Application of Rooted Node in GP 2 Programming Language for Knowledge Graph-Based Movie Recommendation Systems
- Comparative Performance Evaluation of SVM, KNN, and Decision Tree Algorithms in Facial Recognition Tasks Using PCA
- Joint Task Offloading, Resource Allocation, and Service Caching in Mobile Edge Computing via Soft Actor-Critic Learning
- Asymptotic Analysis of Domination in Random Linear Graphs via Markov Processes