Imagen de Portada

See the past: Time-Reversed Scene Reconstruction from Thermal Traces Using Visual Language Models

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Contreras, Kebin, Toscano-Palomino, Luis, Mura, Mauro Dalla, Bacca, Jorge
Formato:	Preprint
Publicado:	2025
Materias:	Computer Vision and Pattern Recognition Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Autoregressive High-Order Finite Difference Modulo Imaging: High-Dynamic Range for Computer Vision Applications
por: Monroy, Brayan, et al.
Publicado: (2025)

High Dynamic Range Modulo Imaging for Robust Object Detection in Autonomous Driving
por: Contreras, Kebin, et al.
Publicado: (2025)

Leveraging pretrained RGB denoisers for hyperspectral image restoration
por: Picone, Daniele, et al.
Publicado: (2026)

PMPNet: Pixel Movement Prediction Network for Monocular Depth Estimation in Dynamic Scenes
por: Peng, Kebin, et al.
Publicado: (2024)

Seeing Beyond the Scene: Enhancing Vision-Language Models with Interactional Reasoning
por: Liang, Dayong, et al.
Publicado: (2025)

SceneScript: Reconstructing Scenes With An Autoregressive Structured Language Model
por: Avetisyan, Armen, et al.
Publicado: (2024)

TraceFlow: Dynamic 3D Reconstruction of Specular Scenes Driven by Ray Tracing
por: Tao, Jiachen, et al.
Publicado: (2025)

Seeing Across Views: Benchmarking Spatial Reasoning of Vision-Language Models in Robotic Scenes
por: Feng, Zhiyuan, et al.
Publicado: (2025)

Positional Bias in Multimodal Embedding Models: Do They Favor the Beginning, the Middle, or the End?
por: Wu, Kebin, et al.
Publicado: (2025)

Seeing Through Clutter: Structured 3D Scene Reconstruction via Iterative Object Removal
por: Aguina-Kang, Rio, et al.
Publicado: (2026)

Seeing Through Words: Controlling Visual Retrieval Quality with Language Models
por: Lu, Jianglin, et al.
Publicado: (2026)

SLARM: Streaming and Language-Aligned Reconstruction Model for Dynamic Scenes
por: Qiu, Zhicheng, et al.
Publicado: (2026)

Seeing Through Reflections: Advancing 3D Scene Reconstruction in Mirror-Containing Environments with Gaussian Splatting
por: Guo, Zijing, et al.
Publicado: (2025)

Unified Scene Representation and Reconstruction for 3D Large Language Models
por: Chu, Tao, et al.
Publicado: (2024)

Seeing Is Believing? A Benchmark for Multimodal Large Language Models on Visual Illusions and Anomalies
por: Hou, Wenjin, et al.
Publicado: (2026)

Seeing the Evidence, Missing the Answer: Tool-Guided Vision-Language Models on Visual Illusions
por: Wang, Xuesong, et al.
Publicado: (2026)

Seeing the Scene Matters: Revealing Forgetting in Video Understanding Models with a Scene-Aware Long-Video Benchmark
por: Chen, Seng Nam, et al.
Publicado: (2026)

Projection-Based Correction for Enhancing Deep Inverse Networks
por: Bacca, Jorge
Publicado: (2025)

SplitGaussian: Reconstructing Dynamic Scenes via Visual Geometry Decomposition
por: Li, Jiahui, et al.
Publicado: (2025)

Seeing Speech and Sound: Distinguishing and Locating Audios in Visual Scenes
por: Ryu, Hyeonggon, et al.
Publicado: (2025)

Scenario Understanding of Traffic Scenes Through Large Visual Language Models
por: Rivera, Esteban, et al.
Publicado: (2025)

WaterHE-NeRF: Water-ray Tracing Neural Radiance Fields for Underwater Scene Reconstruction
por: Zhou, Jingchun, et al.
Publicado: (2023)

VisCon-100K: Leveraging Contextual Web Data for Fine-tuning Vision Language Models
por: Kumar, Gokul Karthik, et al.
Publicado: (2025)

Seeing the Arrow of Time in Large Multimodal Models
por: Xue, Zihui, et al.
Publicado: (2025)

Seeing is Believing? Enhancing Vision-Language Navigation using Visual Perturbations
por: Zhang, Xuesong, et al.
Publicado: (2024)

Seeing through Imagination: Learning Scene Geometry via Implicit Spatial World Modeling
por: Cao, Meng, et al.
Publicado: (2025)

Do Vision-Language Models See Urban Scenes as People Do? An Urban Perception Benchmark
por: Mushkani, Rashid
Publicado: (2025)

DepthFocus: Controllable Depth Estimation for See-Through Scenes
por: Min, Junhong, et al.
Publicado: (2025)

EAG-PT: Emission-Aware Gaussians and Path Tracing for Diffuse Indoor Scene Reconstruction and Editing
por: Yang, Xijie, et al.
Publicado: (2026)

Eye-See-You: Reverse Pass-Through VR and Head Avatars
por: Dash, Ankan, et al.
Publicado: (2025)

Vision-Language Models Can't See the Obvious
por: Dahou, Yasser, et al.
Publicado: (2025)

AdaptInfer: Adaptive Token Pruning for Vision-Language Model Inference with Dynamical Text Guidance
por: Zhang, Weichen, et al.
Publicado: (2025)

Robust Scene Change Detection Using Visual Foundation Models and Cross-Attention Mechanisms
por: Lin, Chun-Jung, et al.
Publicado: (2024)

Inferring Compositional 4D Scenes without Ever Seeing One
por: Gokmen, Ahmet Berke, et al.
Publicado: (2025)

Visual Embodied Brain: Let Multimodal Large Language Models See, Think, and Control in Spaces
por: Luo, Gen, et al.
Publicado: (2025)

Real-Time Scene Reconstruction using Light Field Probes
por: Liu, Yaru, et al.
Publicado: (2025)

VENUS: Visual Editing with Noise Inversion Using Scene Graphs
por: Vo, Thanh-Nhan, et al.
Publicado: (2026)

Superpoint Gaussian Splatting for Real-Time High-Fidelity Dynamic Scene Reconstruction
por: Wan, Diwen, et al.
Publicado: (2024)

Efficiently Reconstructing Dynamic Scenes One D4RT at a Time
por: Zhang, Chuhan, et al.
Publicado: (2025)

Learning to Hear by Seeing: It's Time for Vision Language Models to Understand Artistic Emotion from Sight and Sound
por: Zhang, Dengming, et al.
Publicado: (2025)