Spatiotemporal

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Period ending 2026-09-21

5 new papers

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Period ending 2026-09-14

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121 papers

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Transformer Based Model for Spatiotemporal Feature Learning in EEG Emotion Recognition
Jun 9, 2026Xinglong Cui, Dian GuTransformer Attention Spatiotemporal
Efficient RWKV-based Representation Learning for 3D Point Clouds
Jun 9, 2026Yun Liu, Xuefeng Yan, Liangliang Nan +5Geometry-Aware Foundation Model Representation Learning
From Coarse to Fine: Managing Temporal Granularity in Spatio-Temporal Data for Fine-Grained Traffic Prediction
Jun 8, 2026Shuhao Li, Weidong Yang, Yue Cui +4Accurate Traffic Forecasting Spatiotemporal
SOMA: From Surface Observations to Muscle Anatomy
Jun 8, 2026Eduardo Alvarado, Emily Kim, Gerrit Nolte +4Parametric Body Models Biomechanics
KFTD: Koopman-Fourier Time-Differentiable Network for Continuous Ocean Spatiotemporal Forecasting
Jun 6, 2026Qinghui Chen, Zekai Zhang, Hailong Liu +2Spatio-Temporal Forecasting Ocean
Multimarginal flow matching with optimal transport potentials
Jun 3, 2026Raghav Kansal, David Crair, Nghia Nguyen +2Conditional Flow Matching Optimal Transport
PatchSTG: Scalable Spatiotemporal Graph Transformers for Traffic Forecasting on Irregular Sensor Networks
Jun 2, 2026Jichao Li, Xuanming ShiAccurate Traffic Forecasting Temporal Graph Neural Networks
AVTrack: Audio-Visual Tracking in Human-centric Complex Scenes
Jun 1, 2026Yaoting Wang, Yun Zhou, Zipei Zhang +1Audio-Visual Reasoning Multi-Object Tracking
Spatio-Temporal Reconnection for Multi-Robot Networks using Adaptive Prescribed-Time CBFs
Jun 1, 2026Hao Liu, Yupeng Yang, Yanze Zhang +1Multi-Robot Systems Control Barrier Functions
AdaKernel: Learning Adaptive Kernel Parameters for Spatiotemporal Graph Neural Networks
May 31, 2026Zhongyue Zhang, Guangyin Jin, Yuxuan Liang +2Graph Neural Networks Kernel Method
GLIDE: Graph-guided Leap Inference for Diffusion Estimation of Spatio-Temporal Point Processes
May 31, 2026Guanyu Zhou, Yao Liu, Yanglei Gan +5Determinantal Point Process Spatiotemporal
TravelEval: A Comprehensive Benchmarking Framework for Evaluating LLM-Powered Travel Planning Agents
May 31, 2026Weiyi Chen, Shuaixiong Wang, Ziyun Gao +5Tour Large Language Model Planning
EnergyMamba: An Uncertainty-Aware Graph-Enhanced Selective State Space Model for Energy Consumption Prediction
May 30, 2026Dahai Yu, Rongchao Xu, Lin Jiang +1Electricity Price Forecasting Predictive Uncertainty
Spatio-temporal stochastic graph-based learning for infectious disease forecasting
May 28, 2026Luz Stefani Sotomayor Valenzuela, Susanna Cramb, Darren WraithEpidemic Forecasting Spatio-Temporal Forecasting
GPS-Enhanced Tourist Mobility Modeling with Seasonal Spatial Priors and LLM-Based Activity Chain Generation
May 28, 2026Yifan Liu, Yanling Sang, Xishun Liao +6Mobility Spatiotemporal
General Covariant Action Modeling: Constructing Generalized Manifolds via Spatio-Temporal Decoupling
May 27, 2026Huaihai Lyu, Chaofan Chen, Mingyu Cao +2Cross-Embodiment Transfer Spatiotemporal Representations
A Road-Conditioned Traffic Movie Prediction Network with Spatiotemporal and Structure-Consistent Learning
May 27, 2026Joshua Kofi Asamoah, Blessing Agyei Kyem, Armstrong AboahAccurate Traffic Forecasting Spatiotemporal
GeoFaith: A Spatio-Temporal Dual View of Faithful Chain-of-Thought
May 26, 2026Weijiang Lv, Wentong Zhao, Jiayu Wang +3Explanation Faithfulness Chain-of-Thought Reasoning
Learning Energy-Based Models from Stochastic Interpolants using Spatiotemporal Differences
May 26, 2026Hanlin Yu, RuiKang OuYang, Partha Kaushik +3Discrete Diffusion Model Contrastive Learning
Recursive Flow Matching
May 26, 2026Jiahe Huang, Sihan Xu, Sharvaree Vadgama +1Conditional Flow Matching Generative Models
GEESE: Genotype-aware End-to-End Spatio-temporal Embedding for Behavioral Phenotyping
May 23, 2026Yiran Ding, Yuen Gao, Chunqi Qian +1Phenotypes Autism Spectrum Disorder
Decoupling Spatio-Temporal Adapter for Fine-Grained Badminton Action Localization
May 22, 2026Tianyu Wang, Junjie Wu, Jingquan Gao +1Temporal Action Localization Fine-Grained Spatio-Temporal Information
Learning A Unified Risk Map for Autonomous Driving in Partially Observable Environments
May 21, 2026Jie Jia, Yaofeng Su, Zeyu Bao +4Autonomous Driving Diverse Occlusion-And-Revelation Scenarios
Flat-Pack Bench: Evaluating Spatio-Temporal Understanding in Large Vision-Language Models through Furniture Assembly
May 20, 2026Aditya Chetan, Eric Cai, Peeyush Kushwaha +5Fine-Grained Spatio-Temporal Information Large Vision Language Models
Nonlocal operator learning for fMRI encoding and decoding tasks
May 19, 2026Andreas Kramer, Saugat Acharya, Alice Giola +1Brain Magnetic Resonance Imaging Implicit Neural Representations
Bridge: Retrieval-Augmented Spatiotemporal Modeling for Urban Delivery Demand
May 18, 2026Yihong Tang, Tong Nie, Junlin He +3Spatio-Temporal Forecasting Temporal Graph Neural Networks
STT-Arena: A More Realistic Environment for Tool-Using with Spatio-Temporal Dynamics
May 18, 2026Tingfeng Hui, Hao Xu, Pengyu Zhu +5Large Language Model Planning Real-World Environments
POST: Prior-Observation Adversarial Learning of Spatio-Temporal Associations for Multivariate Time Series Anomaly Detection
May 18, 2026Suofei Zhang, Yaxuan Zheng, Haifeng HuTime-Series Anomaly Detection Anomaly Detection
SAFE-SVD: Sensitivity-Aware Fidelity-Enforcing SVD for Physics Foundation Models
May 18, 2026Chengjie Hong, Feixiang He, Yiheng Zeng +2Wireless Foundation Models Learned Image Compression
GPU-Accelerated Deep Learning for Heatwave Prediction and Urban Heat Risk Assessment
May 14, 2026Adis AlihodžićSpatiotemporal Prediction Deep Learning Framework
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
Dimensional Balance Improves Large Scale Spatiotemporal Prediction Performance
May 11, 2026Jing Chen, Shixiang Pan, Yujie Fan +3Spatiotemporal Prediction Spatiotemporal
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
GEM: Generating LiDAR World Model via Deformable Mamba
May 8, 2026Yang Wu, Zhaojiang Liu, Qiang Meng +5Lidar Light Detection And Ranging
Dual-Scale Temporal Fusion Reveals Structured Predictability in Subseasonal-to-Seasonal Temperature Prediction
May 7, 2026Elnaz Bashir, Jiali Wang, Lin YanSpatio-Temporal Forecasting Spatiotemporal
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
Scalable inference of spatial regions and temporal signatures from time series
May 6, 2026Jiayu Weng, Alec KirkleySpatiotemporal Time Series
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
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
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
Spatiotemporal Degradation-Aware 3D Gaussian Splatting for Realistic Underwater Scene Reconstruction
Apr 26, 2026Shaohua Liu, Ning Gao, Zuoya Gu +3Underwater Image Enhancement Underwater Imagery
Spatio-temporal modelling of electric vehicle charging demand
Apr 21, 2026Kaoutar Bouaachra, Yvenn Amara-Ouali, Yannig Goude +1Electric Vehicles Electricity Price Forecasting
Infrastructure-Centric World Models: Bridging Temporal Depth and Spatial Breadth for Roadside Perception
Apr 19, 2026Siyuan Meng, Chengbo AiAutonomous Driving Perception World Models
Unveiling Stochasticity: Universal Multi-modal Probabilistic Modeling for Traffic Forecasting
Apr 17, 2026Weijiang Xiong, Robert Fonod, Nikolas GeroliminisAccurate Traffic Forecasting Traffic
Modern Structure-Aware Simplicial Spatiotemporal Neural Network
Apr 17, 2026Zhaobo Hu, Vincent Gauthier, Mehdi NaimaTemporal Graph Neural Networks Spatiotemporal
G-PARC: Graph-Physics Aware Recurrent Convolutional Neural Networks for Spatiotemporal Dynamics on Unstructured Meshes
Apr 16, 2026Jack T. Beerman, Tyler J. Abele, Mehdi Taghizadeh +6Spatiotemporal Fundamental Hydrological Principles
GTASA: Ground Truth Annotations for Spatiotemporal Analysis, Evaluation and Training of Video Models
Apr 12, 2026Nicolae Cudlenco, Mihai Masala, Marius LeordeanuVideo Temporal Grounding Video Dataset
An Approach to Enriching Surgical Video Datasets for Fine-Grained Spatial-Temporal Understanding of Vision-Language Models
Apr 1, 2026Lennart Maack, Alexander SchlaeferSurgical Videos Fine-Grained Spatio-Temporal Information
Deep Generative Spatiotemporal Engression for Probabilistic Forecasting of Epidemics
Mar 7, 2026Rajdeep Pathak, Tanujit ChakrabortyEpidemic Forecasting Spatio-Temporal Forecasting
UniMamba: A Unified Spatial-Temporal Modeling Framework with State-Space and Attention Integration
Mar 6, 2026Xingsheng Chen, Xianpei Mu, Deyu Yi +6Multivariate Time Series Forecasting Time Series
CaST-POI: Candidate-Conditioned Spatiotemporal Modeling for Next POI Recommendation
Feb 10, 2026Zhenyu Yu, Chunlei Meng, Yangchen Zeng +3Recommendation Reranking
TimeBlind: A Spatio-Temporal Compositionality Benchmark for Video LLMs
Jan 30, 2026Baiqi Li, Kangyi Zhao, Ce Zhang +3Fine-Grained Spatio-Temporal Information Visual Reasoning
Spatiotemporal Semantic V2X Framework for Cooperative Collision Prediction
Jan 23, 2026Murat Arda Onsu, Poonam Lohan, Burak Kantarci +3V2X Accurate Traffic Forecasting
DDSA: Dual-Domain Strategic Attack for Spatial-Temporal Efficiency in Adversarial Robustness Testing
Jan 18, 2026Jinwei Hu, Shiyuan Meng, Yi Dong +1Robust Perception Spatiotemporal
Efficient Traffic State Prediction With Dynamic Joint Spatio-Temporal Relation Inference
Apr 10, 2025Zhifeng Hao, Kai Hu, Juncai Zhang +2Accurate Traffic Forecasting Spatiotemporal
Efficient Partitioning Method of Large-Scale Public Safety Spatio-Temporal Data based on Information Loss Constraints
Jun 22, 2023Jie Gao, Yawen Li, Zhe Xue +1Partitioning Spatiotemporal

Jun 9, 2026 · cs.LGJ/K move · Enter open · S save

Transformer Based Model for Spatiotemporal Feature Learning in EEG Emotion Recognition

Xinglong Cui, Dian Gu

Beijing Neurodeep Technology Co., Ltd, Beijing, 100176, China · University of Pennsylvania, Seattle, 98121, USA

Electroencephalography (EEG) is a widely adopted technique for monitoring brain activity, offering valuable insights into neurological states due to its high temporal resolution and cost-effectiveness. To enhance the analysis of complex EEG data, we propose EEG-TransNet, an architecture designed to capture temporal, regional, and synchronous features of EEG signals. EEG-TransNet introduces three key modules: 1) a preprocessing and feature extraction module leveraging ResNet and wavelet-based denoising, 2) a Local Self-Attention Block for regional feature learning, and 3) a Fuzzy-Attention Synchronous Transformer (FAST) to model spatiotemporal dependencies. Through extensive experiments on three EEG datasets (BETA, SEED, and DepEEG), the proposed model consistently outperforms other methods in terms of classification accuracy and robustness across varying signal lengths. Ablation studies confirm the contribution of the Local Self-Attention Block in improving performance, and the inclusion of depthwise separable convolutions in the decoder reduces computational complexity while maintaining high accuracy. EEG-TransNet's ability to generalize across subjects with minimal performance variation highlights its potential as a robust tool for EEG-based brain activity classification and emotion recognition tasks.

Transformer Attention Spatiotemporal Transformer Architectures

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