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spatial representation

28 papers

Papers

Agent Journey Beyond RGB: Hierarchical Semantic-Spatial Representation Enrichment for Vision-and-Language Navigation AAAI 2026 SpatialMath: Spatial Comprehension-Infused Symbolic Reasoning for Mathematical Problem-Solving EACL 2026 CLIPer: Hierarchically Improving Spatial Representation of CLIP for Open-Vocabulary Semantic Segmentation ICCV 2025 IE-PMMA:Point Cloud Completion Through Inverse Edge-aware Upsampling and Precise Multi-Modal Feature Alignment IJCAI 2025 Online Language Splatting ICCV 2025 PhysVLM: Enabling Visual Language Models to Understand Robotic Physical Reachability CVPR 2025 Spatial Representation of Large Language Models in 2D Scene ACL 2025 SpatialVLA: Exploring Spatial Representations for Visual-Language-Action Models RSS 2025 Volumetric Axial Disentanglement Enabling Advancing in Medical Image Segmentation IJCAI 2025 Binding in hippocampal-entorhinal circuits enables compositionality in cognitive maps NeurIPS 2024 Language Models Represent Space and Time ICLR 2024 Parameter Efficient Adaptation for Image Restoration with Heterogeneous Mixture-of-Experts NeurIPS 2024 Active Learning-Based Species Range Estimation NeurIPS 2023 Emergence of Maps in the Memories of Blind Navigation Agents ICLR 2023 GridMM: Grid Memory Map for Vision-and-Language Navigation ICCV 2023 Self-Supervised Learning of Representations for Space Generates Multi-Modular Grid Cells NeurIPS 2023 Cross-Modal Map Learning for Vision and Language Navigation CVPR 2022 PlaceNet: Neural Spatial Representation Learning with Multimodal Attention IJCAI 2022 Relating transformers to models and neural representations of the hippocampal formation ICLR 2022 Learned Spatial Representations for Few-Shot Talking-Head Synthesis ICCV 2021 Learning to Move with Affordance Maps ICLR 2020 Lightweight and Robust Representation of Economic Scales from Satellite Imagery AAAI 2020 Coordinated hippocampal-entorhinal replay as structural inference NeurIPS 2019 Semantic Spatial Representation: a unique representation of an environment based on an ontology for robotic applications NAACL 2019 An intriguing failing of convolutional neural networks and the CoordConv solution NeurIPS 2018