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OAHuman: Occlusion-Aware 3D Human Reconstruction from Monocular Images
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Mitigating Overthinking in Large Reasoning Language Models via Reasoning Path Deviation Monitoring
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MistExit: Learning to Exit for Early Mistake Detection in Procedural Videos
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ZOTTA: Test-Time Adaptation with Gradient-Free Zeroth-Order Optimization
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ITKIT: Feasible CT Image Analysis based on SimpleITK and MMEngine
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Automatic Inter-document Multi-hop Scientific QA Generation
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Sampling Boltzmann distributions via normalizing flow approximation of transport maps
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Bringing Model Editing to Generative Recommendation in Cold-Start Scenarios
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MedPriv-Bench: Benchmarking the Privacy-Utility Trade-off of Large Language Models in Medical Open-End Question Answering
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DiFlowDubber: Discrete Flow Matching for Automated Video Dubbing via Cross-Modal Alignment and Synchronization
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Beyond Distance: Quantifying Point Cloud Dynamics with Persistent Homology and Dynamic Optimal Transport
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Toward Clinically Ready Foundation Models in Medical Image Analysis: Adaptation Mechanisms and Deployment Trade-offs
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Learning in Function Spaces: An Unified Functional Analytic View of Supervised and Unsupervised Learning
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Controllable Accent Normalization via Discrete Diffusion
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All-day Multi-scenes Lifelong Vision-and-Language Navigation with Tucker Adaptation
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DC-ViT: Modulating Spatial and Channel Interactions for Multi-Channel Images
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Multi-Period Texture Contrast Enhancement for Low-Contrast Wafer Defect Detection and Segmentation
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AEX: Non-Intrusive Multi-Hop Attestation and Provenance for LLM APIs
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High-Fidelity Compression of Seismic Velocity Models via SIREN Auto-Decoders
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MorphSNN: Adaptive Graph Diffusion and Structural Plasticity for Spiking Neural Networks
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Windowed Fourier Propagator: A Frequency-Local Neural Operator for Wave Equations in Inhomogeneous Media
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RegFormer++: An Efficient Large-Scale 3D LiDAR Point Registration Network with Projection-Aware 2D Transformer
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Seeking Physics in Diffusion Noise
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RL-ScanIQA: Reinforcement-Learned Scanpaths for Blind 360°Image Quality Assessment
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Show Me When and Where: Towards Referring Video Object Segmentation in the Wild
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4D Synchronized Fields: Motion-Language Gaussian Splatting for Temporal Scene Understanding
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SemantiCache: Efficient KV Cache Compression via Semantic Chunking and Clustered Merging
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A Physically-Grounded Attack and Adaptive Defense Framework for Real-World Low-Light Image Enhancement
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In-Field 3D Wheat Head Instance Segmentation From TLS Point Clouds Using Deep Learning Without Manual Labels
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Autonomous Agents Coordinating Distributed Discovery Through Emergent Artifact Exchange
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Mind the Shift: Decoding Monetary Policy Stance from FOMC Statements with Large Language Models
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Enhancing LLM Training via Spectral Clipping
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Direct Object-Level Reconstruction via Probabilistic Gaussian Splatting
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Structure-Dependent Regret and Constraint Violation Bounds for Online Convex Optimization with Time-Varying Constraints
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Early Failure Detection and Intervention in Video Diffusion Models
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Personalized Cell Segmentation: Benchmark and Framework for Reference-Guided Cell Type Segmentation
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How Do Medical MLLMs Fail? A Study on Visual Grounding in Medical Images
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Learning-to-Defer with Expert-Conditioned Advice
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ECG-Reasoning-Benchmark: A Benchmark for Evaluating Clinical Reasoning Capabilities in ECG Interpretation
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AvatarForcing: One-Step Streaming Talking Avatars via Local-Future Sliding-Window Denoising
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Data-Driven Physics Embedded Dynamics with Predictive Control and Reinforcement Learning for Quadrupeds
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UAVBench and UAVIT-1M: Benchmarking and Enhancing MLLMs for Low-Altitude UAV Vision-Language Understanding
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On the Nature of Attention Sink that Shapes Decoding Strategy in MLLMs
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State-Dependent Safety Failures in Multi-Turn Language Model Interaction
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Generation of Human Comprehensible Access Control Policies from Audit Logs
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AgroNVILA: Perception-Reasoning Decoupling for Multi-view Agricultural Multimodal Large Language Models
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Localizing and Editing Knowledge in Large Audio-Language Models
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Motivation in Large Language Models
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Refold: Refining Protein Inverse Folding with Efficient Structural Matching and Fusion
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Deconfounded Lifelong Learning for Autonomous Driving via Dynamic Knowledge Spaces
