novel deep learning research works with PaddlePaddle
-
Updated
Aug 16, 2024 - Python
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)
State-of-the-art model for person re-identification in Multi-camera Multi-Target Tracking. Benchmarked on Market-1501 and DukeMTMTC-reID datasets.
Spatial-Temporal Federated Learning for Lifelong Person Re-identification on Distributed Edges. (FedSTIL)
A high-level Python framework to evaluate the skill of geospatial datasets by comparing candidates to benchmark maps producing agreement maps and metrics.
A Video Chat Agent with Temporal Prior
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
A unified Spatial Temporal Net Trainer for different baselines in Spatial Temporal Forecasting problems.
Paper: Task-Adaptive Meta-Learning Framework for Advancing Spatial Generalizability.
This repository contains the source code for our Senior Capstone Project, a cornerstone of the Data Science major at UC San Diego.
Decomposing Time-Lapse Paintings into Layers
A Python implementation of sti-dbscan: an algorithm based on st-dbscan (which is based on dbscan) that clusters spatial-temporal interval data
PredRNN implementation using Tensorflow.
Some guides using postgis to load and processing environment-related data
The LC2019 team winning entry for the EVA 2019 data competition
Visualize data on maps with a self contained deployable serverless web app
Add a description, image, and links to the spatial-temporal topic page so that developers can more easily learn about it.
To associate your repository with the spatial-temporal topic, visit your repo's landing page and select "manage topics."