Guardado en:
| Autores principales: | Sohn, Tin Stribor, Dillitzer, Maximilian, Corso, Jason J., Sax, Eric |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2512.15940 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
SNOW: Spatio-Temporal Scene Understanding with World Knowledge for Open-World Embodied Reasoning
por: Sohn, Tin Stribor, et al.
Publicado: (2025)
por: Sohn, Tin Stribor, et al.
Publicado: (2025)
Embodied4C: Measuring What Matters for Embodied Vision-Language Navigation
por: Sohn, Tin Stribor, et al.
Publicado: (2025)
por: Sohn, Tin Stribor, et al.
Publicado: (2025)
A Framework for a Capability-driven Evaluation of Scenario Understanding for Multimodal Large Language Models in Autonomous Driving
por: Sohn, Tin Stribor, et al.
Publicado: (2025)
por: Sohn, Tin Stribor, et al.
Publicado: (2025)
Unifying 2D and 3D Vision-Language Understanding
por: Jain, Ayush, et al.
Publicado: (2025)
por: Jain, Ayush, et al.
Publicado: (2025)
CLIPping the Limits: Finding the Sweet Spot for Relevant Images in Automated Driving Systems Perception Testing
por: Rigoll, Philipp, et al.
Publicado: (2024)
por: Rigoll, Philipp, et al.
Publicado: (2024)
ST-Booster: An Iterative SpatioTemporal Perception Booster for Vision-and-Language Navigation in Continuous Environments
por: Yue, Lu, et al.
Publicado: (2025)
por: Yue, Lu, et al.
Publicado: (2025)
VLA-R1: Enhancing Reasoning in Vision-Language-Action Models
por: Ye, Angen, et al.
Publicado: (2025)
por: Ye, Angen, et al.
Publicado: (2025)
Pri4R: Learning World Dynamics for Vision-Language-Action Models with Privileged 4D Representation
por: Kim, Jisoo, et al.
Publicado: (2026)
por: Kim, Jisoo, et al.
Publicado: (2026)
VG4D: Vision-Language Model Goes 4D Video Recognition
por: Deng, Zhichao, et al.
Publicado: (2024)
por: Deng, Zhichao, et al.
Publicado: (2024)
HiST-VLA: A Hierarchical Spatio-Temporal Vision-Language-Action Model for End-to-End Autonomous Driving
por: Wang, Yiru, et al.
Publicado: (2026)
por: Wang, Yiru, et al.
Publicado: (2026)
ManipLVM-R1: Reinforcement Learning for Reasoning in Embodied Manipulation with Large Vision-Language Models
por: Song, Zirui, et al.
Publicado: (2025)
por: Song, Zirui, et al.
Publicado: (2025)
Hierarchical Semantic-Augmented Navigation: Optimal Transport and Graph-Driven Reasoning for Vision-Language Navigation
por: Fang, Xiang, et al.
Publicado: (2026)
por: Fang, Xiang, et al.
Publicado: (2026)
Multi-View Video Diffusion Policy: A 3D Spatio-Temporal-Aware Video Action Model
por: Li, Peiyan, et al.
Publicado: (2026)
por: Li, Peiyan, et al.
Publicado: (2026)
3DGS-Calib: 3D Gaussian Splatting for Multimodal SpatioTemporal Calibration
por: Herau, Quentin, et al.
Publicado: (2024)
por: Herau, Quentin, et al.
Publicado: (2024)
TIGeR: Tool-Integrated Geometric Reasoning in Vision-Language Models for Robotics
por: Han, Yi, et al.
Publicado: (2025)
por: Han, Yi, et al.
Publicado: (2025)
Dual-Stream Diffusion for World-Model Augmented Vision-Language-Action Model
por: Won, John, et al.
Publicado: (2025)
por: Won, John, et al.
Publicado: (2025)
ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation
por: Huang, Wenlong, et al.
Publicado: (2024)
por: Huang, Wenlong, et al.
Publicado: (2024)
Transformer-Based Spatio-Temporal Association of Apple Fruitlets
por: Freeman, Harry, et al.
Publicado: (2025)
por: Freeman, Harry, et al.
Publicado: (2025)
BOP-ASK: Object-Interaction Reasoning for Vision-Language Models
por: Bhat, Vineet, et al.
Publicado: (2025)
por: Bhat, Vineet, et al.
Publicado: (2025)
The Machine Vision Iceberg Explained: Advancing Dynamic Testing by Considering Holistic Environmental Relations
por: Padusinski, Hubert, et al.
Publicado: (2024)
por: Padusinski, Hubert, et al.
Publicado: (2024)
General Covariant Action Modeling: Constructing Generalized Manifolds via Spatio-Temporal Decoupling
por: Lyu, Huaihai, et al.
Publicado: (2026)
por: Lyu, Huaihai, et al.
Publicado: (2026)
Reasoning-VLA: A Fast and General Vision-Language-Action Reasoning Model for Autonomous Driving
por: Zhang, Dapeng, et al.
Publicado: (2025)
por: Zhang, Dapeng, et al.
Publicado: (2025)
WorldVLM: Combining World Model Forecasting and Vision-Language Reasoning
por: Englmeier, Stefan, et al.
Publicado: (2026)
por: Englmeier, Stefan, et al.
Publicado: (2026)
ST-$π$: Structured SpatioTemporal VLA for Robotic Manipulation
por: Ma, Chuanhao, et al.
Publicado: (2026)
por: Ma, Chuanhao, et al.
Publicado: (2026)
S.T.A.R.-Track: Latent Motion Models for End-to-End 3D Object Tracking with Adaptive Spatio-Temporal Appearance Representations
por: Doll, Simon, et al.
Publicado: (2023)
por: Doll, Simon, et al.
Publicado: (2023)
GaussianVLM: Scene-centric 3D Vision-Language Models using Language-aligned Gaussian Splats for Embodied Reasoning and Beyond
por: Halacheva, Anna-Maria, et al.
Publicado: (2025)
por: Halacheva, Anna-Maria, et al.
Publicado: (2025)
MAP-VLA: Memory-Augmented Prompting for Vision-Language-Action Model in Robotic Manipulation
por: Li, Runhao, et al.
Publicado: (2025)
por: Li, Runhao, et al.
Publicado: (2025)
RAZER: Robust Accelerated Zero-Shot 3D Open-Vocabulary Panoptic Reconstruction with Spatio-Temporal Aggregation
por: Patel, Naman, et al.
Publicado: (2025)
por: Patel, Naman, et al.
Publicado: (2025)
Guide, Think, Act: Interactive Embodied Reasoning in Vision-Language-Action Models
por: Ling, Yiran, et al.
Publicado: (2026)
por: Ling, Yiran, et al.
Publicado: (2026)
RoboTracer: Mastering Spatial Trace with Reasoning in Vision-Language Models for Robotics
por: Zhou, Enshen, et al.
Publicado: (2025)
por: Zhou, Enshen, et al.
Publicado: (2025)
AgentThink: A Unified Framework for Tool-Augmented Chain-of-Thought Reasoning in Vision-Language Models for Autonomous Driving
por: Qian, Kangan, et al.
Publicado: (2025)
por: Qian, Kangan, et al.
Publicado: (2025)
STRNet: Visual Navigation with Spatio-Temporal Representation through Dynamic Graph Aggregation
por: Ren, Hao, et al.
Publicado: (2026)
por: Ren, Hao, et al.
Publicado: (2026)
Generalized Robot 3D Vision-Language Model with Fast Rendering and Pre-Training Vision-Language Alignment
por: Liu, Kangcheng, et al.
Publicado: (2023)
por: Liu, Kangcheng, et al.
Publicado: (2023)
Aion: Towards Hierarchical 4D Scene Graphs with Temporal Flow Dynamics
por: Catalano, Iacopo, et al.
Publicado: (2025)
por: Catalano, Iacopo, et al.
Publicado: (2025)
Weather-Robust Scene Semantics with Vision-Aligned 4D Radar
por: Hamilton, Kali, et al.
Publicado: (2026)
por: Hamilton, Kali, et al.
Publicado: (2026)
Fast3R: Towards 3D Reconstruction of 1000+ Images in One Forward Pass
por: Yang, Jianing, et al.
Publicado: (2025)
por: Yang, Jianing, et al.
Publicado: (2025)
AwareVLN: Reasoning with Self-awareness for Vision-Language Navigation
por: Guo, Wenxuan, et al.
Publicado: (2026)
por: Guo, Wenxuan, et al.
Publicado: (2026)
CapVector: Learning Transferable Capability Vectors in Parametric Space for Vision-Language-Action Models
por: Song, Wenxuan, et al.
Publicado: (2026)
por: Song, Wenxuan, et al.
Publicado: (2026)
CLIP-Clique: Graph-based Correspondence Matching Augmented by Vision Language Models for Object-based Global Localization
por: Matsuzaki, Shigemichi, et al.
Publicado: (2024)
por: Matsuzaki, Shigemichi, et al.
Publicado: (2024)
DriveWorld-VLA: Unified Latent-Space World Modeling with Vision-Language-Action for Autonomous Driving
por: jia, Feiyang, et al.
Publicado: (2026)
por: jia, Feiyang, et al.
Publicado: (2026)
Ejemplares similares
-
SNOW: Spatio-Temporal Scene Understanding with World Knowledge for Open-World Embodied Reasoning
por: Sohn, Tin Stribor, et al.
Publicado: (2025) -
Embodied4C: Measuring What Matters for Embodied Vision-Language Navigation
por: Sohn, Tin Stribor, et al.
Publicado: (2025) -
A Framework for a Capability-driven Evaluation of Scenario Understanding for Multimodal Large Language Models in Autonomous Driving
por: Sohn, Tin Stribor, et al.
Publicado: (2025) -
Unifying 2D and 3D Vision-Language Understanding
por: Jain, Ayush, et al.
Publicado: (2025) -
CLIPping the Limits: Finding the Sweet Spot for Relevant Images in Automated Driving Systems Perception Testing
por: Rigoll, Philipp, et al.
Publicado: (2024)