Co-occurring keywords · papers mentioning both
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