Spatiotemporal

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Spatio-Temporal Transformers

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Spatio-Temporal Forecasting

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Temporal Dependence

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343 papers

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LASAR: Towards Spatio-temporal Reasoning with Latent Cognitive Map
May 16, 2026Jinzhou Tang, Sidi Liu, Waikit Xiu +2Cognitive Map Embodied Agents
ChronoEarth-492K: A Large Scale and Long Horizon Spatiotemporal Hyperspectral Earth Observation Dataset and Benchmark
May 15, 2026Haozhe Si, Yuxuan Wan, Yuqing Wang +2Multiple Hyperspectral Benchmarks Hyperspectral Imaging
Gaussian Relational Graph Transformer
May 15, 2026Zezhong Ding, Jin Li, Xugang Wang +1Heterogeneous Graph Transformers Spatio-Temporal Transformers
Nested Spatio-Temporal Time Series Forecasting
May 15, 2026Yinghao Ai, Yukai Zhou, Ruoxi Jiang +8Spatio-Temporal Forecasting
GPU-Accelerated Deep Learning for Heatwave Prediction and Urban Heat Risk Assessment
May 14, 2026Adis AlihodžićSpatiotemporal Prediction Deep Learning Framework
SeesawNet: Towards Non-stationary Time Series Forecasting with Balanced Modeling of Common and Specific Dependencies
May 14, 2026Hao Li, Lu Zhang, Liu Chong +3Multivariate Time Series Forecasting Non-Stationarity
From Sparse to Dense: Spatio-Temporal Fusion for Multi-View 3D Human Pose Estimation with DenseWarper
May 14, 2026Ling Li, Changjie Chen, Yuyan Wang +43D Pose Estimator 3D Perception
OceanCBM: A Concept Bottleneck Model for Mechanistic Interpretability in Ocean Forecasting
May 12, 2026Sanah Suri, Kieran Ringel, Maike SonnewaldClass-Incremental Concept Bottleneck Model Ocean
Environment-Adaptive Preference Optimization for Wildfire Prediction
May 12, 2026Enyi Jiang, Wu SunWildfire Prediction Spatiotemporal Prediction
Spatial Adapter: Structured Spatial Decomposition and Closed-Form Covariance for Frozen Predictors
May 12, 2026Wen-Ting Wang, Wei-Ying Wu, Hao-Yun Huang +1Spatiotemporal Prediction Covariance Estimation
Geospatial-Temporal Sensemaking of Remote Sensing Activity Detections with Multimodal Large Language Model
May 11, 2026David F. Ramirez, Tim Overman, Kristen Jaskie +1Sentinel-2 Multimodal Dataset
iPay: Integrated Payment Action Recognition via Multimodal Networks and Adaptive Spatial Prior Learning
May 11, 2026Kaicong Huang, Weiheng Oh, Thomas Guggisberg +1Payment Networks Motion-Focused Representations
GemDepth: Geometry-Embedded Features for 3D-Consistent Video Depth
May 11, 2026Yuecheng Liu, Junda Cheng, Longliang Liu +43D Perception Large Inter-Frame Displacements
Dimensional Balance Improves Large Scale Spatiotemporal Prediction Performance
May 11, 2026Jing Chen, Shixiang Pan, Yujie Fan +3Spatiotemporal Prediction Spatiotemporal
INFANiTE: Implicit Neural representation for high-resolution Fetal brain spatio-temporal Atlas learNing from clinical Thick-slicE MRI
May 11, 2026Xiaotian Hu, Mingxuan Liu, Hongjia Yang +10Brain Magnetic Resonance Imaging Implicit Neural Representations
Learning to Perceive "Where": Spatial Pretext Tasks for Robust Self-Supervised Learning
May 11, 2026Yang Shen, Yusen Cai, Weronika Hryniewska-Guzik +2Self-Supervised Spatial Representation
Sub-Footprint Effect Correction in FW-LiDAR Point Clouds via Intra-Footprint Target Unmixing
May 11, 2026Zhen Xiao, Yanfeng Gu, Xian LiLidar Light Detection And Ranging
DAP: Doppler-aware Point Network for Heterogeneous mmWave Action Recognition
May 10, 2026Jiaying Lin, Shiman Wu, Jinfu Liu +2Human Activity Recognition Radar
QueST: Persistent Queries as Semantic Monitors for Drift Suppression in Long-Horizon Tracking
May 10, 2026Mayank Anand, Mohammad Saqlain, Kyan Mahajan +3Large Inter-Frame Displacements Spatiotemporal Representations
Spectral Transformer Neural Processes
May 10, 2026Xianhe Chen, Hao Chen, Yingzhen LiSpatio-Temporal Transformers Periodic Domains
PnP-Corrector: A Universal Correction Framework for Coupled Spatiotemporal Forecasting
May 9, 2026Hao Wu, Fan Xu, Yuxu Lu +9Spatio-Temporal Forecasting Global Climate Models
L2A: Learning to Accumulate Pose History for Accurate 3D Human Pose Estimation
May 9, 2026Zehua Wang, Changwang Mei, Huaijiang Sun +23D Pose Estimator Spatio-Temporal Transformers
Neurally-plausible radial basis kernels using distributed Fourier embeddings
May 8, 2026Jakeb ChouinardRadial Basis Function Implicit Neural Representations
VIMCAN: Visual-Inertial 3D Human Pose Estimation with Hybrid Mamba-Cross-Attention Network
May 8, 2026Zepeng Yang, Junxuan Bai, Hao Li +43D Pose Estimator Spatio-Temporal Transformers
GEM: Generating LiDAR World Model via Deformable Mamba
May 8, 2026Yang Wu, Zhaojiang Liu, Qiang Meng +5Lidar Light Detection And Ranging
Mask2Cause: Causal Discovery via Adjacency Constrained Causal Attention
May 8, 2026Omar Muhammad, Pasupuleti Dhruv Shivkant, Deepak N. SubramaniCausal Foundation Models Causal Attention
PIMSM: Physics-Informed Multi-Scale Mamba for Stable Neural Representations under Distribution Shift
May 8, 2026Sangyoon Bae, Shinjae Yoo, Jiook ChaTime Series Foundation Models Physics-Informed Machine Learning
Dual-Scale Temporal Fusion Reveals Structured Predictability in Subseasonal-to-Seasonal Temperature Prediction
May 7, 2026Elnaz Bashir, Jiali Wang, Lin YanSpatio-Temporal Forecasting Spatiotemporal
SpatialEpiBench: Benchmarking Spatial Information and Epidemic Priors in Forecasting
May 7, 2026Ruiqi Lyu, Alistair Turcan, Bryan WilderEpidemic Forecasting Spatio-Temporal Forecasting
ReasonSTL: Bridging Natural Language and Signal Temporal Logic via Tool-Augmented Process-Rewarded Learning
May 7, 2026Bowen Ye, Zhijian Li, Junyue Huang +2Signal Temporal Logic Natural Language Queries
Beyond the Independence Assumption: Finite-Sample Guarantees for Deep Q-Learning under $τ$ -Mixing
May 7, 2026Leon Halgryn, Sophie Langer, Janusz M. Meylahn +1Deep Q-Networks Learning Dynamics
SWIFT: Spatio-temporal Wavelet Integrated Forecasting Framework for Workload Traces
May 7, 2026Zeyuan Ding, Lingfeng Zheng, Dian Ding +1Spatio-Temporal Forecasting Discrete Wavelet Transform
R2H-Diff: Guided Spectral Diffusion Model for RGB-to-Hyperspectral Reconstruction
May 7, 2026Songyu Ding, Ronggiang Zhao, Mingchun Sun +1Hyperspectral Imaging Spectral Reconstruction
Towards Scalable One-Step Generative Modeling for Autoregressive Dynamical System Forecasting
May 7, 2026Tianyue Yang, Xiao XueAutoregressive Model Surrogate Models
Scalable inference of spatial regions and temporal signatures from time series
May 6, 2026Jiayu Weng, Alec KirkleySpatiotemporal Time Series
Hybrid Congestion Classification Framework Using Flow-Guided Attention and Empirical Mode Decomposition
May 6, 2026Eugene Kofi Okrah Denteh, Blessing Agyei Kyem, Joshua Kofi Asamoah +1Spatiotemporal Representations
HEXST: Hexagonal Shifted-Window Transformer for Spatial Transcriptomics Gene Expression Prediction
May 6, 2026Keunho Byeon, Jin Tae KwakSpatial Transcriptomics Spatio-Temporal Transformers
GraphSVR: A Graph Convolutional Support Vector Regression Framework for Robust Spatiotemporal Air Pollution Forecasting
May 5, 2026Nourin Jahan, Muhammed Navas T, Tanujit Chakraborty +1Air Pollution Spatio-Temporal Forecasting
PerFlow: Physics-Embedded Rectified Flow for Efficient Reconstruction and Uncertainty Quantification of Spatiotemporal Dynamics
May 5, 2026Hao Zhou, Rui Zhang, Han Wan +1Rectified Flow Partial Differential Equation Benchmarks
Local Truncation Error-Guided Neural ODEs for Large Scale Traffic Forecasting
May 5, 2026Xiao Zhang, Yafei Li, Ruixiang Wang +3Neural Ordinary Differential Equations Ordinary Differential Equations
Boundary-Aware Uncertainty Quantification for Wildfire Spread Prediction
May 4, 2026Jonas V. FunkWildfire Prediction Wildfire Spread
Dynamic Vine Copulas: Detecting and Quantifying Time-Varying Higher-Order Interactions
May 4, 2026Houman Safaai, Alessandro Marin VargasGaussian Copula Temporal Dependence
TemPose-TF-ASF: Two-Stage Bidirectional Stroke Context Fusion for Badminton Stroke Classification
May 4, 2026Tzu-Yu Liu, Duan-Shin LeeBadminton Multimodal Fusion
Spatiotemporal Hidden-State Dynamics as a Signature of Internal Reasoning in Large Language Models
May 3, 2026Kotaro Furuya, Takahito TanimuraEfficient Latent Reasoning Hidden States
Towards Visual Query Localization in the 3D World
May 2, 2026Liang Peng, Bohan Tan, Zhipeng Zhang +43D World Localization Methods
CNN-based Multi-In-Multi-Out Model for Efficient Spatiotemporal Prediction
May 2, 2026Hyeonseok JinSpatiotemporal Prediction Convolutional Neural Networks
Continuous Temporal Representations of Event-Based Signals via Interference-Based Wave Modeling
May 2, 2026Magnus BengtssonMultimodal Physiological Signals Surface Electromyography
Arbitrarily Conditioned Hierarchical Flows for Spatiotemporal Events
May 2, 2026Keyan Chen, Qiwei Yuan, Zhitong Xu +2Spatiotemporal Determinantal Point Process
Optimal Spatio-Temporal Decoupling for Bayesian Conformal Prediction
May 1, 2026Yu-Hsueh Fang, Chia-Yen LeeConformal Prediction Bayesian
MAEPose: Self-Supervised Spatiotemporal Learning for Human Pose Estimation on mmWave Video
Apr 30, 2026Xijia Wei, Yuan Fang, Kevin Chetty +23D Pose Estimator Millimeter Wave
ClipTBP: Clip-Pair based Temporal Boundary Prediction with Boundary-Aware Learning for Moment Retrieval
Apr 30, 2026Ji-Hyeon Kim, Ho-Joong Kim, Seong-Whan LeeVideo Temporal Grounding Spatio-Temporal Transformers
Exploring the Potential of Probabilistic Transformer for Time Series Modeling: A Report on the ST-PT Framework
Apr 29, 2026Zhangzhi Xiong, Haoyi Wu, You Wu +3Time Series Spatio-Temporal Transformers
Star-Fusion: A Multi-modal Transformer Architecture for Discrete Celestial Orientation via Spherical Topology
Apr 29, 2026May Hammad, Menatallh HammadSatellite Spatio-Temporal Transformers
SpatialFusion: Endowing Unified Image Generation with Intrinsic 3D Geometric Awareness
Apr 29, 2026Haiyi Qiu, Kaihang Pan, Jiacheng Li +33D Generative Models Large-Scale Image Generation
Modular Retrieval-Augmented Generalization for Human Action Recognition
Apr 28, 2026Peng Liao, Shangsong Liang, Lin Chen +1Human Activity Recognition Inertial Measurement Units
TTCD:Transformer Integrated Temporal Causal Discovery from Non-Stationary Time Series Data
Apr 27, 2026Omar Faruque, Sahara Ali, Xue Zheng +1Causal Foundation Models Non-Stationarity
Spatiotemporal Degradation-Aware 3D Gaussian Splatting for Realistic Underwater Scene Reconstruction
Apr 26, 2026Shaohua Liu, Ning Gao, Zuoya Gu +3Underwater Image Enhancement Underwater Imagery
StormNet: Improving storm surge predictions with a GNN-based spatio-temporal offset forecasting model
Apr 22, 2026Noujoud Nader, Stefanos Giaremis, Clint Dawson +3Accurate Flood Prediction Spatio-Temporal Forecasting
SpaCeFormer: Fast Proposal-Free Open-Vocabulary 3D Instance Segmentation
Apr 22, 2026Chris Choy, Junha Lee, Chunghyun Park +23D Semantic Segmentation Spatio-Temporal Transformers
Seeing Further and Wider: Joint Spatio-Temporal Enlargement for Micro-Video Popularity Prediction
Apr 22, 2026Dali Wang, Yunyao Zhang, Junqing Yu +3Spatiotemporal Representations Popularity

May 16, 2026 · cs.CVJ/K move · Enter open · S save

LASAR: Towards Spatio-temporal Reasoning with Latent Cognitive Map

Jinzhou Tang, Sidi Liu, Waikit Xiu, Weixing Chen+1

1Sun Yat-sen University

A fundamental challenge in embodied AI is verifying if agents build internal models of spatial structure or merely learn to mimic task-specific expert trajectories. This is critical as foundational approaches rooted in action-centric tasks (e.g., VLN) and reasoning-centric tasks (e.g., EQA) often share a common limitation: they lack a learning signal that forces them to encode fine-grained spatial relationships (like topology or distance) over long-range, fragmented experiences. To address this, we first propose LASAR, an architecture featuring a dual-memory system designed to maintain both episodic experiences and a semantic cognitive map. We then introduce Spatio-temporal Contextual Representation Learning (ST-CRL), a contrastive objective designed to train this architecture. ST-CRL leverages spatio-temporal cues from cognitive queries generated through annotated spatio-temporal context in simulation to build sample pairs, thereby forming the internal cognitive map from the agent's experiences. Experiments demonstrate that our method achieves 2%-3.5% gains in both zero-shot generalization on standard VLN-CE and VSI-Bench benchmarks. We also demonstrate that our proposed cognitive map has high self-consistency.

Cognitive Map Embodied Agents Spatiotemporal Representations Intelligence Fine-Grained Spatio-Temporal Information Episodic Experiences

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