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Object Pose Transformer: Unifying Unseen Object Pose Estimation
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Natural Language Interfaces for Spatial and Temporal Databases: A Comprehensive Overview of Methods, Taxonomy, and Future Directions
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ABot-PhysWorld: Interactive World Foundation Model for Robotic Manipulation with Physics Alignment
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FG-Portrait: 3D Flow Guided Editable Portrait Animation
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From Feature Learning to Spectral Basis Learning: A Unifying and Flexible Framework for Efficient and Robust Shape Matching
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SIMART: Decomposing Monolithic Meshes into Sim-ready Articulated Assets via MLLM
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LineMVGNN: Anti-Money Laundering with Line-Graph-Assisted Multi-View Graph Neural Networks
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Harnessing Lightweight Transformer with Contextual Synergic Enhancement for Efficient 3D Medical Image Segmentation
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Graph Energy Matching: Transport-Aligned Energy-Based Modeling for Graph Generation
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Unleashing Spatial Reasoning in Multimodal Large Language Models via Textual Representation Guided Reasoning
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Planning over MAPF Agent Dependencies via Multi-Dependency PIBT
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Beyond Preset Identities: How Agents Form Stances and Boundaries in Generative Societies
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GeoSANE: Learning Geospatial Representations from Models, Not Data
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I3DM: Implicit 3D-aware Memory Retrieval and Injection for Consistent Video Scene Generation
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SortedRL: Accelerating RL Training for LLMs through Online Length-Aware Scheduling
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Biased Error Attribution in Multi-Agent Human-AI Systems Under Delayed Feedback
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Bilevel Autoresearch: Meta-Autoresearching Itself
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Mecha-nudges for Machines
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Similarity-Aware Mixture-of-Experts for Data-Efficient Continual Learning
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Targeted Adversarial Traffic Generation : Black-box Approach to Evade Intrusion Detection Systems in IoT Networks
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SIGMA: A Physics-Based Benchmark for Gas Chimney Understanding in Seismic Images
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Evaluating LLM-Based Test Generation Under Software Evolution
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3DCity-LLM: Empowering Multi-modality Large Language Models for 3D City-scale Perception and Understanding
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Code Review Agent Benchmark
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DetPO: In-Context Learning with Multi-Modal LLMs for Few-Shot Object Detection
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CSTS: A Canonical Security Telemetry Substrate for AI-Native Cyber Detection
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End-to-End Efficient RL for Linear Bellman Complete MDPs with Deterministic Transitions
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RealMaster: Lifting Rendered Scenes into Photorealistic Video
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InverFill: One-Step Inversion for Enhanced Few-Step Diffusion Inpainting
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Byzantine-Robust and Differentially Private Federated Optimization under Weaker Assumptions
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UniFunc3D: Unified Active Spatial-Temporal Grounding for 3D Functionality Segmentation
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VTAM: Video-Tactile-Action Models for Complex Physical Interaction Beyond VLAs
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ReqFusion: A Multi-Provider Framework for Automated PEGS Analysis Across Software Domains
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SpecEyes: Accelerating Agentic Multimodal LLMs via Speculative Perception and Planning
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Failure of contextual invariance in gender inference with large language models
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TETO: Tracking Events with Teacher Observation for Motion Estimation and Frame Interpolation
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One View Is Enough! Monocular Training for In-the-Wild Novel View Generation
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AgentRVOS: Reasoning over Object Tracks for Zero-Shot Referring Video Object Segmentation
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Foveated Diffusion: Efficient Spatially Adaptive Image and Video Generation
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VISion On Request: Enhanced VLLM efficiency with sparse, dynamically selected, vision-language interactions
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Estimating Flow Velocity and Vehicle Angle-of-Attack from Non-invasive Piezoelectric Structural Measurements Using Deep Learning
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WildWorld: A Large-Scale Dataset for Dynamic World Modeling with Actions and Explicit State toward Generative ARPG
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DA-Flow: Degradation-Aware Optical Flow Estimation with Diffusion Models
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UniGRPO: Unified Policy Optimization for Reasoning-Driven Visual Generation
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MedObvious: Exposing the Medical Moravec's Paradox in VLMs via Clinical Triage
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OccAny: Generalized Unconstrained Urban 3D Occupancy
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LongTail Driving Scenarios with Reasoning Traces: The KITScenes LongTail Dataset
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Environment Maps: Structured Environmental Representations for Long-Horizon Agents
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LLMORPH: Automated Metamorphic Testing of Large Language Models
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LLMLOOP: Improving LLM-Generated Code and Tests through Automated Iterative Feedback Loops
