Proceedings of the 3rd International Workshop on Spatio-Temporal Reasoning and Learning (STRL 2024) co-located with the 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024), 2024

Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling.

[DOI]

Wanghan Xu

Fenghua Ling

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

On Learning Multi-Modal Forgery Representation for Diffusion Generated Video Detection.

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

FNP: Fourier Neural Processes for Arbitrary-Resolution Data Assimilation.

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

G-Refine: A General Quality Refiner for Text-to-Image Generation.

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

PAPS-OVQA: Projection-Aware Patch Sampling for Omnidirectional Video Quality Assessment.

[DOI]

Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

Towards a Self-contained Data-driven Global Weather Forecasting Framework.

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

FiT: Flexible Vision Transformer for Diffusion Model.

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

CasCast: Skillful High-resolution Precipitation Nowcasting via Cascaded Modelling.

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Q-Refine: A Perceptual Quality Refiner for AI-Generated Image.

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

PredBench: Benchmarking Spatio-Temporal Prediction Across Diverse Disciplines.

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Instruct-ReID: A Multi-Purpose Person Re-Identification Task with Instructions.

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Non-Neighbors Also Matter to Kriging: A New Contrastive-Prototypical Learning.

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

MotionGPT: Finetuned LLMs Are General-Purpose Motion Generators.

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective.

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Autoregressive Omni-Aware Outpainting for Open-Vocabulary 360-Degree Image Generation.

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Towards Trajectory Forecasting From Detection.

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

SiamSampler: Video-Guided Sampling for Siamese Visual Tracking.

[DOI]

IEEE Trans. Circuits Syst. Video Technol., April, 2023

Online Metro Origin-Destination Prediction via Heterogeneous Information Aggregation.

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Knowledge Expansion and Consolidation for Continual Traffic Prediction With Expanding Graphs.

[DOI]

IEEE Trans. Intell. Transp. Syst., 2023

Cure-GNN: A Robust Curvature-Enhanced Graph Neural Network Against Adversarial Attacks.

[DOI]

IEEE Trans. Dependable Secur. Comput., 2023

Towards an End-to-End Artificial Intelligence Driven Global Weather Forecasting System.

[DOI]

CoRR, 2023

FengWu-4DVar: Coupling the Data-driven Weather Forecasting Model with 4D Variational Assimilation.

[DOI]

CoRR, 2023

ResoNet: Robust and Explainable ENSO Forecasts with Hybrid Convolution and Transformer Networks.

[DOI]

CoRR, 2023

VisionTraj: A Noise-Robust Trajectory Recovery Framework based on Large-scale Camera Network.

[DOI]

CoRR, 2023

Hulk: A Universal Knowledge Translator for Human-Centric Tasks.

[DOI]

CoRR, 2023

Understanding Masked Autoencoders From a Local Contrastive Perspective.

[DOI]

CoRR, 2023

Enhancing Mapless Trajectory Prediction through Knowledge Distillation.

[DOI]

CoRR, 2023

Retrieve Anyone: A General-purpose Person Re-identification Task with Instructions.

[DOI]

CoRR, 2023

Stimulative Training++: Go Beyond The Performance Limits of Residual Networks.

[DOI]

CoRR, 2023

Seeing is not always believing: A Quantitative Study on Human Perception of AI-Generated Images.

[DOI]

CoRR, 2023

FengWu: Pushing the Skillful Global Medium-range Weather Forecast beyond 10 Days Lead.

[DOI]

CoRR, 2023

Saliency Guided Contrastive Learning on Scene Images.

[DOI]

CoRR, 2023

Graph-Free Learning in Graph-Structured Data: A More Efficient and Accurate Spatiotemporal Learning Perspective.

[DOI]

CoRR, 2023

β-DARTS++: Bi-level Regularization for Proxy-robust Differentiable Architecture Search.

[DOI]

CoRR, 2023

LAMM: Language-Assisted Multi-Modal Instruction-Tuning Dataset, Framework, and Benchmark.

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Seeing is not always believing: Benchmarking Human and Model Perception of AI-Generated Images.

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting.

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Pattern Expansion and Consolidation on Evolving Graphs for Continual Traffic Prediction.

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

MM-DAG: Multi-task DAG Learning for Multi-modal Data - with Application for Traffic Congestion Analysis.

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

GReTo: Remedying dynamic graph topology-task discordance via target homophily.

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Cycle-consistent Masked AutoEncoder for Unsupervised Domain Generalization.

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

STEERER: Resolving Scale Variations for Counting and Localization via Selective Inheritance Learning.

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Trust Your Partner's Friends: Hierarchical Cross-Modal Contrastive Pre-Training for Video-Text Retrieval.

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

A Critical Perceptual Pre-trained Model for Complex Trajectory Recovery.

[DOI]

Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data, 2023

A Knowledge-Driven Memory System for Traffic Flow Prediction.

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2023

Long-Tailed Time Series Classification via Feature Space Rebalancing.

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2023

FEND: A Future Enhanced Distribution-Aware Contrastive Learning Framework for Long-Tail Trajectory Prediction.

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

HumanBench: Towards General Human-Centric Perception with Projector Assisted Pretraining.

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

UniHCP: A Unified Model for Human-Centric Perceptions.

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Correlated Time Series Self-Supervised Representation Learning via Spatiotemporal Bootstrapping.

[DOI]

Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

Dynamic Causal Graph Convolutional Network for Traffic Prediction.

[DOI]

Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

Multi-Scale Control Signal-Aware Transformer for Motion Synthesis without Phase.

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Graph Neural Network for Robust Public Transit Demand Prediction.

[DOI]

IEEE Trans. Intell. Transp. Syst., 2022

Action Recognition With Motion Diversification and Dynamic Selection.

[DOI]

IEEE Trans. Image Process., 2022

Temporal-Channel Transformer for 3D Lidar-Based Video Object Detection for Autonomous Driving.

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2022

Face to purchase: Predicting consumer choices with structured facial and behavioral traits embedding.

[DOI]

Knowl. Based Syst., 2022

A Bibliometric Analysis and Review on Reinforcement Learning for Transportation Applications.

[DOI]

CoRR, 2022

An Empirical Study of Pseudo-Labeling for Image-based 3D Object Detection.

[DOI]

CoRR, 2022

Unsupervised Knowledge Adaptation for Passenger Demand Forecasting.

[DOI]

CoRR, 2022

MS Lesion Segmentation: Revisiting Weighting Mechanisms for Federated Learning.

[DOI]

Ettikan Kandasamy Karuppiah

CoRR, 2022

Trajectory Forecasting from Detection with Uncertainty-Aware Motion Encoding.

[DOI]

CoRR, 2022

Unsupervised Object Detection Pretraining with Joint Object Priors Generation and Detector Learning.

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Countering Modal Redundancy and Heterogeneity: A Self-Correcting Multimodal Fusion.

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2022

Domain Invariant Masked Autoencoders for Self-supervised Learning from Multi-domains.

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Relative Contrastive Loss for Unsupervised Representation Learning.

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Unifying Visual Contrastive Learning for Object Recognition from a Graph Perspective.

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Fast-MoCo: Boost Momentum-Based Contrastive Learning with Combinatorial Patches.

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Backbone is All Your Need: A Simplified Architecture for Visual Object Tracking.

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Revisiting the Transferability of Supervised Pretraining: an MLP Perspective.

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

DR.VIC: Decomposition and Reasoning for Video Individual Counting.

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Jointly Contrastive Representation Learning on Road Network and Trajectory.

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

SepFusion: Finding Optimal Fusion Structures for Visual Sound Separation.

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Deep Spatial-Temporal Learning in the Correlated Time Series.

[DOI]

Lei Bai

PhD thesis, 2021

Deep spatial-temporal sequence modeling for multi-step passenger demand prediction.

[DOI]

Future Gener. Comput. Syst., 2021

PSViT: Better Vision Transformer via Token Pooling and Attention Sharing.

[DOI]

CoRR, 2021

Graph-Based 3D Multi-Person Pose Estimation Using Multi-View Images.

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

GLiT: Neural Architecture Search for Global and Local Image Transformer.

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Mutual CRF-GNN for Few-Shot Learning.

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

An enhanced probabilistic fairness-aware group recommendation by incorporating social activeness.

[DOI]

J. Netw. Comput. Appl., 2020

Adversarial Multi-view Networks for Activity Recognition.

[DOI]

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

Temporal-Channel Transformer for 3D Lidar-Based Video Object Detection in Autonomous Driving.

[DOI]

CoRR, 2020

Face to Purchase: Predicting Consumer Choices with Structured Facial and Behavioral Traits Embedding.

[DOI]

CoRR, 2020

Mobility Irregularity Detection with Smart Transit Card Data.

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Prototype Similarity Learning for Activity Recognition.

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting.

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Spectrum-Guided Adversarial Disparity Learning.

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Are You A Risk Taker? Adversarial Learning of Asymmetric Cross-Domain Alignment for Risk Tolerance Prediction.

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Knowledge Adaption for Demand Prediction based on Multi-task Memory Neural Network.

[DOI]

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Passenger Demand Forecasting with Multi-Task Convolutional Recurrent Neural Networks.

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

STG2Seq: Spatial-Temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting.

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Passenger Demographic Attributes Prediction for Human-Centered Public Transport.

[DOI]

Proceedings of the Neural Information Processing - 26th International Conference, 2019

Spatio-Temporal Graph Convolutional and Recurrent Networks for Citywide Passenger Demand Prediction.

[DOI]

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Automatic Device Classification from Network Traffic Streams of Internet of Things.

[DOI]

Proceedings of the 43rd IEEE Conference on Local Computer Networks, 2018