- TimeTracker: Event-based Continuous Point Tracking for Video Frame Interpolation with Non-linear Motion
- ODE: Open-Set Evaluation of Hallucinations in Multimodal Large Language Models
- Improving Editability in Image Generation with Layer-wise Memory
- Adaptive Lightweight Framework for the Brain MRI Segmentation Task
- Forecasting the Unpredictable: Deep Neural Networks in the Volatile World of Cryptocurrencies
- Real Time Object Recognition with Voice Guided Navigation for Visually Impaired using OpenCV
- Power Meter Architecture with AC/DC TMR Current Sensors for Smart Grid Applications
- Exploring Historical Information for RGBE Visual Tracking with Mamba
- LibraGrad: Balancing Gradient Flow for Universally Better Vision Transformer Attributions
- Learning Extremely High Density Crowds as Active Matters
- MonSter: Marry Monodepth to Stereo Unleashes Power
- Effect of Winding Design on the Energy Efficiency of Pole-Changing Induction Motors
- CARLA2Real: A Tool for Reducing the Sim2real Appearance Gap in CARLA Simulator
- Spatial-Spectral Fusion Network for Plastic Classification Using Hyperspectral Image
- GaPT-DAR: Category-level Garments Pose Tracking via Integrated 2D Deformation and 3D Reconstruction
- Integrating Q-Learning and Random Forest for Enhanced Water Potability Assessment
- Bregman-divergence-based Arimoto-Blahut algorithm
- DreamRelation: Bridging Customization and Relation Generation
- Unlocking the sensing potential of Mn 1.5 Cr 1.5 O 4 spinel nanocomposite by exploring humidity dependent dielectric characteristics
- Redefining <Creative> in Dictionary: Towards an Enhanced Semantic Understanding of Creative Generation
- Decoupled Distillation to Erase: A General Unlearning Method for Any Class-centric Tasks
- PV, Battery & Supercapacitor based Electric Vehicle with BLDC motor
- Dual Graph Learning for Multivariate Time Series Anomaly Detection in IoUT
- HOIGPT: Learning Long-Sequence Hand-Object Interaction with Language Models
- Toward Real-world BEV Perception: Depth Uncertainty Estimation via Gaussian Splatting
- Analysis of the High Capacitor Voltage Ripple Design for the MMC with Active and Passive Circulating Current Suppression Methods
- MOS: Modeling Object-Scene Associations in Generalized Category Discovery
- Feminist Entrepreneurship: A Qualitative Analysis of Value Alignment and Motivational Factors
- Evaluation and Mitigation of Performance Variability of OpenMP Applications on Modern Multicore Systems
- Visual Lexicon: Rich Image Features in Language Space
- A New Method for Temperature Measurement of Wire Rod Based on Adaptive Exposure Time
- I2VGuard: Safeguarding Images against Misuse in Diffusion-based Image-to-Video Models
- Locally Orderless Images for Optimization in Differentiable Rendering
- Lightweight Neural Network With Fixed Classifier for Enhanced Drone RF Signal Recognition
- Co-op: Correspondence-based Novel Object Pose Estimation
- Failure Risk Assessment of Medium-Voltage Distribution Lines in the Central Area of Japan
- 3D Student Splatting and Scooping
- A Low-Cost Test Method for the Serial Output of ADC Based on FPGA
- Analysis of encrypted wireless traffic for identification of IoT devices
- Development of Image Classification System to Detect Oral Cancer using Machine Learning Techniques
- Sensitivity-Aware Efficient Fine-Tuning via Compact Dynamic-Rank Adaptation
- Adventurer: Optimizing Vision Mamba Architecture Designs for Efficiency
- Social-Pose: Enhancing Trajectory Prediction With Human Body Pose
- Asymmetrical PV Power Injection in Modular Multilevel Converter with Battery Energy Storage Systems for Ripple Power Reduction
- HandJoKe: Joint-Guided Keypoint Denoising Transformer for Depth-based 3D Hand Pose Estimation
- 3D-HGS: 3D Half-Gaussian Splatting *
- Maintaining Consistent Inter-Class Topology in Continual Test-Time Adaptation
- Mamba-Adaptor: State Space Model Adaptor for Visual Recognition
- Multi-Sensor Object Anomaly Detection: Unifying Appearance, Geometry, and Internal Properties
- AFPD: System for Prediction, Mitigation and Remediation of Node Interruptions in Cloud Infrastructure
- SKDream: Controllable Multi-view and 3D Generation with Arbitrary Skeletons
- Gradient Inversion Attacks on Parameter-Efficient Fine-Tuning
- Differentiable Inverse Rendering with Interpretable Basis BRDFs
- Cross-Modal and Uncertainty-Aware Agglomeration for Open-Vocabulary 3D Scene Understanding
- On-Device Crack Segmentation for Edge Structural Health Monitoring
- Multi-UAV Multi-Task Path Planning Based on DDE-SA Algorithm
- Hybrid AI Model for Enhanced Battery RUL Prediction in Electrolytic Capacitor-Less Solar-Battery Integrated Power Processor
- iSegMan: Interactive Segment-and-Manipulate 3D Gaussians
- FrugalNeRF: Fast Convergence for Extreme Few-shot Novel View Synthesis without Learned Priors
- Towards RAW Object Detection in Diverse Conditions
- SCSegamba: Lightweight Structure-Aware Vision Mamba for Crack Segmentation in Structures
- Design of A Dynamic Decoupling Network for A Pair of Wearable Inverted L-shaped Antennas Based on Common/Differential Mode Theory
- Hash3D: Training-free Acceleration for 3D Generation
- VideoHandles: Editing 3D Object Compositions in Videos Using Video Generative Priors
- Anomize: Better Open Vocabulary Video Anomaly Detection
- Retaining Knowledge and Enhancing Long-Text Representations in CLIP through Dual-Teacher Distillation
- GRAE-3DMOT: Geometry Relation-Aware Encoder for Online 3D Multi-Object Tracking
- Explaining in Diffusion: Explaining a Classifier with Diffusion Semantics
- GASP: Gaussian Avatars with Synthetic Priors
- Constant Current, Constant Voltage, Constant Power Control for Wireless Power Transfer Systems in PT-symmetric and PT-broken state
- Explainable Saliency: Articulating Reasoning with Contextual Prioritization
- Omni-ID: Holistic Identity Representation Designed for Generative Tasks
- Dual Focus-Attention Transformer for Robust Point Cloud Registration
- Learning on Model Weights using Tree Experts
- H2ST: Hierarchical Two-Sample Tests for Continual Out-of-Distribution Detection
- Fully Distributed Finite-Time Formation Tracking of Heterogeneous Multi-Agent Systems Under Directed Networks
- X-type Planar Winding Arrangement Having Low Intrawinding Capacitance
- RandAR: Decoder-only Autoregressive Visual Generation in Random Orders
- A Method for Stealing Traffic Detection Models Based on Equivalent Feature Sets
- Feature Optimization-Based Multiple Instance Learning for Whole Slide Image Classification
- A DHTOL Test-Based Methodology to Investigate the Switching Reliability of GaN HEMTs Under Repeated Drain Voltage Ringing
- Masking meets Supervision: A Strong Learning Alliance
- ReSpec: Relevance and Specificity Grounded Online Filtering for Learning on Video-Text Data Streams
- Multi-Scale Neighbor Contrastive Learning with Attention Mechanism
- An Ultra Flexible Quad-port Converter for Hybrid Energy Storage System (HESS) in Fuel Cell Electric Vehicle (FCEV) Powertrains
- Hopcroft-Karp Algorithm Utilization for Efficient Big Data Shortest Path Computation
- GPFL: A Gradient Projection-Based Client Selection Framework for Efficient Federated Learning
- Design of a Self-Decoupled Four-Port MIMO Metasurface Antenna Based on Mode Current Cancellation
- Neural LightRig: Unlocking Accurate Object Normal and Material Estimation with Multi-Light Diffusion
- Goal-Driven building automation using serverless computing
- Enhance Renewable Integration via Hybridization: PV Hydro Hybrid System Control Strategy and Field Practices
- LoRASculpt: Sculpting LoRA for Harmonizing General and Specialized Knowledge in Multimodal Large Language Models
- WISH: Weakly Supervised Instance Segmentation using Heterogeneous Labels
- A Quadruple-Boost Nine-Level Inverter With Common Source and Load Ground
- DreamText: High Fidelity Scene Text Synthesis
- FreeScene: Mixed Graph Diffusion for 3D Scene Synthesis from Free Prompts
- Coordinated Control Architecture of Dual Converters in Grid-forming DFIG Wind Turbine: Modeling, Analysis and Comparison
- DecoupledGaussian: Object-Scene Decoupling for Physics-Based Interaction
- Edge AI in the computing continuum: Consistency and Availability at Early Design Stages
- Towards Interpretable Energy Estimation for Edge AI Applications