hi, i am

Pu  JIN,

金 璞 .

An EARTH OBSERVER

about me

I am a PhD candidate in Signal Processing in Earth Observation, Technical University of Munich (TUM) & Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR).

My research interests lie in the fields of temporal reasoning in high-dimensional data, such as remote sensing timeseries, and aerial videos. I have been involved in various projects, like aerial scene classification, aerial video classification, and anomaly detection in aerial videos. I am dedicated to observing our planet and making it better.

Location

Munich, Germany

email

Pu.Jin@dlr.de

website

jin-pu.github.io

profile_image

education

2013-2017

Bachelor of science

Electronic Information and Technology

Wuhan university

Wuhan, China

2017-2018

Master of engineering 

Photogrammetry and Remote Sensing

Wuhan university

Wuhan, China

2018-2021

Master Of Engineering

Earth Oriented Space Science And Technology

TECHNICAL UNIVERSITY OF MUNICH

Munich, Germany

2021-NOW

PhD Candidate

Remote sensing and earth observation

TUM & DLR

Munich, Germany

PUBLICATIONs

    2022.02

    IEEE Transactions on Geoscience and Remote Sensing

    FuTH-Net: Fusing Temporal Relations and Holistic Features for Aerial Video Classification

    Pu Jin, Lichao Mou, Yuansheng Hua, Gui-Song Xia, Xiao Xiang Zhu

    [PDF][Code]

    2021.09

    IEEE Transactions on Geoscience and Remote Sensing

    MultiScene: A Large-Scale Dataset and Benchmark for Multiscene Recognition in Single Aerial Images

    Yuansheng Hua, Lichao Mou, Pu Jin, Xiao Xiang Zhu

    [PDF]

    2021.08

    arXiv preprint

    Self-supervised Audiovisual Representation Learning for Remote Sensing Data

    Konrad Heidler, Lichao Mou, Di Hu, Pu Jin, Guangyao Li, Chuang Gan, Ji-Rong Wen, Xiao Xiang Zhu

    [PDF]

    2021.07

    2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS

    Unconstrained Aerial Scene Recognition with Deep Neural Networks and a New Dataset

    Yuansheng Hua, Lichao Mou, Pu Jin, Xiao Xiang Zhu

    [PDF]

    2021.07

    2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS

    Temporal Relations Matter: A Two-Pathway Network for Aerial Video Recognition

    Pu Jin, Lichao Mou, Yuansheng Hua, Gui-Song Xia, Xiao Xiang Zhu

    [PDF]

    2021.07

    2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS

    Anomaly Detection in Aerial Videos Via Future Frame Prediction Networks

    Pu Jin, Lichao Mou, Gui-Song Xia, Xiao Xiang Zhu

    [PDF]

    2020.12

    IEEE Geoscience and Remote Sensing Magazine

    ERA: A data set and deep learning benchmark for event recognition in aerial videos [software and data sets]

    Lichao Mou, Yuansheng Hua, Pu Jin, Xiao Xiang Zhu

    [PDF][Page]

    2020.09

    IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium

    Instance segmentation of buildings using keypoints

    Qingyu Li, Lichao Mou, Yuansheng Hua, Yao Sun, Pu Jin, Yilei Shi, Xiao Xiang Zhu

    [PDF]

    2020.09

    IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium

    Event and Activity Recognition in Aerial Videos Using Deep Neural Networks and a New Dataset

    Lichao Mou, Yuansheng Hua, Pu Jin, Xiao Xiang Zhu

    [PDF]

    2020.08

    European Conference on Computer Vision (ECCV)

    Cross-task transfer for geotagged audiovisual aerial scene recognition

    Di Hu, Xuhong Li, Lichao Mou, Pu Jin, Dong Chen, Liping Jing, Xiaoxiang Zhu, Dejing Dou

    [PDF]

    2020.05

    ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences

    Global Message Passing in Networks via Task-driven Random Walks for Semantic Segmentation of Remote Sensing Images

    Lichao Mou, Yuansheng Hua, Pu Jin, Xiao Xiang Zhu

    [PDF]

    2020.05

    IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium

    AID++: An updated version of aid on scene classification

    Pu Jin, Gui-Song Xia, Fan Hu, Qikai Lu, Liangpei Zhang

    [PDF]

Projects

portfolio image
ui/ux design
ui/ux design

ERA: A DATA SET AND DEEP LEARNING BENCHMARK FOR EVENT RECOGNITION IN AERIAL VIDEOS [SOFTWARE AND DATA SETS]

Lichao Mou, Yuansheng Hua, Pu Jin, Xiao Xiang Zhu

[Page]