CVPR 2026 Past Other
4th Workshop on Artificial Intelligence for Space
AI4Space
- Submission deadline
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- Submission portal
- OpenReview
- Notes
- Auto-imported from the OpenReview venue record on 2026-06-10 — please verify and enrich (topics are keyword-guessed).
Accepted papers (42)
Fetched from OpenReview (v2) on 2026-06-10.
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A Comparative Analysis of Forecasting Foundation Models for Spacecraft Multivariate Time Series Anomaly Detection
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A Deep Learning Iterative Framework for Sentinel-1 Stripmap Enhancement Based on Azimuth Doppler Decomposition
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A Systematic Evaluation of Retrieval-Augmented Generation and Language Models for Space Operations
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ArcticBench and SmartTransfer: Benchmarking and Enabling Continual Learning of Atmosphere Generative Foundation Model
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AstroSplat: Physics-Based Gaussian Splatting for Rendering and Reconstruction of Small Celestial Bodies
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Autonomous Perception and Onboard Intelligence for Space Missions: A Survey
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Deployable Neuromorphic AI in Space: Taxonomy and Architecture
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Deployment-Aligned Low-Precision Neural Architecture Search for Spaceborne Edge AI
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Efficient Onboard Spacecraft Pose Estimation with Event Cameras and Neuromorphic Hardware
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Flight Demonstration of On-Orbit Model Adaptation on a Nanosatellite
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GeoSwin: Hierarchical Representation Learning and a Large-Scale Earth Observation Benchmark
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GUIDE: Guided Updates for In-context Decision Evolution in LLM-Driven Spacecraft Operations
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Intent-aligned Autonomous Spacecraft Guidance via Reasoning Models
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Learning Normalcy: Self-Supervised Anomaly Discovery in Spacecraft Sensor Streams
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LLaVA-LE: Large Language-and-Vision Assistant for Lunar Exploration
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LUMEN: Language-guided Unified Memory for ENcoding Hyperspectral Images for Mars Mineral Identification
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LuMon: A Comprehensive Benchmark and Development Suite with Novel Datasets for Lunar Monocular Depth Estimation
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MMLSv2: A Multimodal Dataset for Martian Landslide Detection in Remote Sensing Imagery
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Neural 3D Reconstruction of Planetary Surfaces from Descent-Phase Wide-Angle Imagery
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Onboard Latent Kalman Filtering for Robust Spacecraft Pose Estimation
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Onboard-Targeted Segmentation of Broken Pixels, Lines, and Dust on Optics Faults in Space Camera Sensors
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Optimizing Latent Representations for Robust Building Damage Assessment Onboard Earth Observation Satellites
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OWLS: Open-World Language-driven Servoing for Zero-Shot Traversability
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PIKing Neural Networks: Parallel Inference via Kernelizing. A Comparative Study of Tandem-Deployed Space AI Models Across Heterogeneous Hardware
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Post-Launch Capability Expansion of Vision–Language Models via Prompting for On-Orbit Spacecraft Inspection
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Raw-to-Processed in Orbit: Fast Onboard Image Reconstruction for EO
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Rethinking Satellite Image Restoration for Onboard AI: A Lightweight Learning-Based Approach
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Retrocausal Influence and Agentic Consensus: Theoretically Grounded Interpretability for Long-Horizon Autonomous Space Systems
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Reward Shaping for Safe Spacecraft Proximity Operations: A Comparative Study
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Semantic Constraint Synthesis for Adaptive Trajectory Optimization via Large Language Models
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SPACE-HOP: Spacecraft 6-DoF Pose Estimation using Embedding-Predictive Pretraining and Hopf Map
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SpaceGym: A Gymnasium-Based Benchmark for Deep Reinforcement Learning in Spacecraft Proximity Operations
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SwarmSAT Agent: A Tool-Grounded Autonomous Multi-Agent LLM Framework for Rapid Satellite Constellation Retasking of Pop-Up Events
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The Space Edge AI Computer: A Decoupled, Zero-Virtualization Payload for In-Orbit Generative AI under 12W
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Thermal Anomaly Detection using Physics Aware Neuromorphic Networks: Comparison between Raw and L1C Sentinel-2 Data
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Towards Event-Based Visual Sensing for Spacecraft Pose Estimation: Baselines and Analysis
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Towards Onboard Multi-View Analysis of Satellite Imagery: Monocular 2D Motion Estimation and 3D Reconstruction
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Uncertainty-Guided Edge Learning for Deep Image Regression in Remote Sensing
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VAD4Space: Visual Anomaly Detection for Planetary Surface Imagery
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Vision-Guided Deep Reinforcement Learning for Autonomous Spacecraft Rendezvous and Docking
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Why Not? Solver-Grounded Certificates for Explainable Mission Planning
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YOOLO: You Only Orbit and Look Once