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JOPP-3D: Joint Open Vocabulary Semantic Segmentation on Point Clouds and Panoramas
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Robotic Foundation Models for Industrial Control: A Comprehensive Survey and Readiness Assessment Framework
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XMACNet: An Explainable Lightweight Attention based CNN with Multi Modal Fusion for Chili Disease Classification
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Optimizing 3D Diffusion Models for Medical Imaging via Multi-Scale Reward Learning
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Making Training-Free Diffusion Segmentors Scale with the Generative Power
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Contrastive-to-Self-Supervised: A Two-Stage Framework for Script Similarity Learning
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Towards Motion Turing Test: Evaluating Human-Likeness in Humanoid Robots
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CRIMSON: A Clinically-Grounded LLM-Based Metric for Generative Radiology Report Evaluation
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SpaCRD: Multimodal Deep Fusion of Histology and Spatial Transcriptomics for Cancer Region Detection
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Random Quadratic Form on a Sphere: Synchronization by Common Noise
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Whisper-CD: Accurate Long-Form Speech Recognition using Multi-Negative Contrastive Decoding
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MAPO: Mixed Advantage Policy Optimization for Long-Horizon Multi-Turn Dialogue
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Wisdom of the AI Crowd (AI-CROWD) for Ground Truth Approximation in Content Analysis: A Research Protocol & Validation Using Eleven Large Language Models
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LIT-RAGBench: Benchmarking Generator Capabilities of Large Language Models in Retrieval-Augmented Generation
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Latent Autoencoder Ensemble Kalman Filter for Data assimilation
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FlashPrefill: Instantaneous Pattern Discovery and Thresholding for Ultra-Fast Long-Context Prefilling
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Adaptive Language-Aware Image Reflection Removal Network
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Point-Supervised Skeleton-Based Human Action Segmentation
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VG3S: Visual Geometry Grounded Gaussian Splatting for Semantic Occupancy Prediction
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EarthBridge: A Solution for 4th Multi-modal Aerial View Image Challenge Translation Track
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Topological descriptors of foot clearance gait dynamics improve differential diagnosis of Parkinsonism
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Cut to the Chase: Training-free Multimodal Summarization via Chain-of-Events
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EntON: Eigenentropy-Optimized Neighborhood Densification in 3D Gaussian Splatting
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Conversational Demand Response: Bidirectional Aggregator-Prosumer Coordination through Agentic AI
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Word-Anchored Temporal Forgery Localization
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SPOT: Span-level Pause-of-Thought for Efficient and Interpretable Latent Reasoning in Large Language Models
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FedSCS-XGB -- Federated Server-centric surrogate XGBoost for continual health monitoring
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Low-latency Event-based Object Detection with Spatially-Sparse Linear Attention
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TaPD: Temporal-adaptive Progressive Distillation for Observation-Adaptive Trajectory Forecasting in Autonomous Driving
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DC-Merge: Improving Model Merging with Directional Consistency
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Gradient Flow Polarizes Softmax Outputs towards Low-Entropy Solutions
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Hierarchical Collaborative Fusion for 3D Instance-aware Referring Expression Segmentation
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SPPCSO: Adaptive Penalized Estimation Method for High-Dimensional Correlated Data
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Synthetic Monitoring Environments for Reinforcement Learning
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Implementation of Quantum Implicit Neural Representation in Deterministic and Probabilistic Autoencoders for Image Reconstruction/Generation Tasks
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NOVA: Next-step Open-Vocabulary Autoregression for 3D Multi-Object Tracking in Autonomous Driving
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GazeMoE: Perception of Gaze Target with Mixture-of-Experts
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Robust support vector model based on bounded asymmetric elastic net loss for binary classification
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Learning to Solve Orienteering Problem with Time Windows and Variable Profits
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Mind the Gap: Pitfalls of LLM Alignment with Asian Public Opinion
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ODD-SEC: Onboard Drone Detection with a Spinning Event Camera
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HiPP-Prune: Hierarchical Preference-Conditioned Structured Pruning for Vision-Language Models
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Agentic retrieval-augmented reasoning reshapes collective reliability under model variability in radiology question answering
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Looking Through Glass Box
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Stem: Rethinking Causal Information Flow in Sparse Attention
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Spectral and Trajectory Regularization for Diffusion Transformer Super-Resolution
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Artificial Intelligence for Climate Adaptation: Reinforcement Learning for Climate Change-Resilient Transport
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Can we Trust Unreliable Voxels? Exploring 3D Semantic Occupancy Prediction under Label Noise
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Attribute Distribution Modeling and Semantic-Visual Alignment for Generative Zero-shot Learning
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Learning Unbiased Cluster Descriptors for Interpretable Imbalanced Concept Drift Detection
