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CogBlender: Towards Continuous Cognitive Intervention in Text-to-Image Generation
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Exploring Modality-Aware Fusion and Decoupled Temporal Propagation for Multi-Modal Object Tracking
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Proxy-Guided Measurement Calibration
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TASER: Task-Aware Spectral Energy Refine for Backdoor Suppression in UAV Swarms Decentralized Federated Learning
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DenoiseSplat: Feed-Forward Gaussian Splatting for Noisy 3D Scene Reconstruction
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See, Plan, Rewind: Progress-Aware Vision-Language-Action Models for Robust Robotic Manipulation
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Diagnosing and Repairing Citation Failures in Generative Engine Optimization
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TA-Mem: Tool-Augmented Autonomous Memory Retrieval for LLM in Long-Term Conversational QA
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Rescaling Confidence: What Scale Design Reveals About LLM Metacognition
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A Gaussian Comparison Theorem for Training Dynamics in Machine Learning
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IntroSVG: Learning from Rendering Feedback for Text-to-SVG Generation via an Introspective Generator-Critic Framework
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Curveball Steering: The Right Direction To Steer Isn't Always Linear
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CLoE: Expert Consistency Learning for Missing Modality Segmentation
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NLiPsCalib: An Efficient Calibration Framework for High-Fidelity 3D Reconstruction of Curved Visuotactile Sensors
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SpaceSense-Bench: A Large-Scale Multi-Modal Benchmark for Spacecraft Perception and Pose Estimation
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Reading the Mood Behind Words: Integrating Prosody-Derived Emotional Context into Socially Responsive VR Agents
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OddGridBench: Exposing the Lack of Fine-Grained Visual Discrepancy Sensitivity in Multimodal Large Language Models
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Reward-Zero: Language Embedding Driven Implicit Reward Mechanisms for Reinforcement Learning
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TimberAgent: Gram-Guided Retrieval for Executable Music Effect Control
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Beyond Scaling: Assessing Strategic Reasoning and Rapid Decision-Making Capability of LLMs in Zero-sum Environments
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Predictive Spectral Calibration for Source-Free Test-Time Regression
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TaSR-RAG: Taxonomy-guided Structured Reasoning for Retrieval-Augmented Generation
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Robust Regularized Policy Iteration under Transition Uncertainty
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Robust Provably Secure Image Steganography via Latent Iterative Optimization
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TA-GGAD: Testing-time Adaptive Graph Model for Generalist Graph Anomaly Detection
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Interactive 3D visualization of surface roughness predictions in additive manufacturing: A data-driven framework
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Democratising Clinical AI through Dataset Condensation for Classical Clinical Models
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Evidential Perfusion Physics-Informed Neural Networks with Residual Uncertainty Quantification
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M3GCLR: Multi-View Mini-Max Infinite Skeleton-Data Game Contrastive Learning For Skeleton-Based Action Recognition
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From Representation to Clusters: A Contrastive Learning Approach for Attributed Hypergraph Clustering
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Flow Field Reconstruction via Voronoi-Enhanced Physics-Informed Neural Networks with End-to-End Sensor Placement Optimization
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Quantifying and extending the coverage of spatial categorization data sets
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MIL-PF: Multiple Instance Learning on Precomputed Features for Mammography Classification
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SinGeo: Unlock Single Model's Potential for Robust Cross-View Geo-Localization
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SPAARS: Safer RL Policy Alignment through Abstract Exploration and Refined Exploitation of Action Space
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EventVGGT: Exploring Cross-Modal Distillation for Consistent Event-based Depth Estimation
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Training-Free Coverless Multi-Image Steganography with Access Control
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Physics-Informed Neural Engine Sound Modeling with Differentiable Pulse-Train Synthesis
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ICDAR 2025 Competition on End-to-End Document Image Machine Translation Towards Complex Layouts
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LLM as a Meta-Judge: Synthetic Data for NLP Evaluation Metric Validation
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Stochastic Port-Hamiltonian Neural Networks: Universal Approximation with Passivity Guarantees
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YOLO-NAS-Bench: A Surrogate Benchmark with Self-Evolving Predictors for YOLO Architecture Search
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RiO-DETR: DETR for Real-time Oriented Object Detection
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Reconstructing Movement from Sparse Samples: Enhanced Spatio-Temporal Matching Strategies for Low-Frequency Data
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Large Spikes in Stochastic Gradient Descent: A Large-Deviations View
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PromptDLA: A Domain-aware Prompt Document Layout Analysis Framework with Descriptive Knowledge as a Cue
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From Flow to One Step: Real-Time Multi-Modal Trajectory Policies via Implicit Maximum Likelihood Estimation-based Distribution Distillation
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Investigating Gender Stereotypes in Large Language Models via Social Determinants of Health
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CIGPose: Causal Intervention Graph Neural Network for Whole-Body Pose Estimation
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MetaDAT: Generalizable Trajectory Prediction via Meta Pre-training and Data-Adaptive Test-Time Updating
