#自然语言处理#novel deep learning research works with PaddlePaddle
[ECCV'2020] STTN: Learning Joint Spatial-Temporal Transformations for Video Inpainting
Formation Flight in Dense Environments
STEP: Spatio-Temporal Progressive Learning for Video Action Detection. CVPR'19 (Oral)
#计算机科学#State-of-the-art model for person re-identification in Multi-camera Multi-Target Tracking. Benchmarked on Market-1501 and DukeMTMTC-reID datasets.
FedSTIL: Spatial-Temporal Federated Learning for Lifelong Person Re-identification on Distributed Edges. (TCSVT'23)
#大语言模型#[EMNLP 2024] A Video Chat Agent with Temporal Prior
A high-level Python framework to evaluate the skill of geospatial datasets by comparing candidates to benchmark maps producing agreement maps and metrics.
#时序数据库#[ICASSP 2025 Oral] ImageFlowNet: Forecasting Multiscale Image-Level Trajectories of Disease Progression with Irregularly-Sampled Longitudinal Medical Images
[ICASSP 2025 Oral] ImageFlowNet: Forecasting Multiscale Image-Level Trajectories of Disease Progression with Irregularly-Sampled Longitudinal Medical Images
A Python framework to evaluate geospatial datasets by comparing candidate and benchmark maps to compute agreement maps and statistics.
MATLAB implementation of ST-Matching Algorithm for map matching
#时序数据库#A framework for designing and evaluating Spatio-Temporal networks.
Paper: Task-Adaptive Meta-Learning Framework for Advancing Spatial Generalizability.
A unified Spatial Temporal Net Trainer for different baselines in Spatial Temporal Forecasting problems.
Forecasting traffic speed using sensor data from San Diego highways and a Spatial-Temporal Graph Attention Network.
The LC2019 team winning entry for the EVA 2019 data competition
#计算机科学#PredRNN implementation using Tensorflow.
A Python implementation of sti-dbscan: an algorithm based on st-dbscan (which is based on dbscan) that clusters spatial-temporal interval data