Universiteit Leiden

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PhD defence

Exploring Open-World Visual Understanding with Deep Learning

  • N. Pu
Date
Thursday 8 December 2022
Time
Address
Academy Building
Rapenburg 73
2311 GJ Leiden

Summary

We are living in an information era where the amount of image and video data increases exponentially. It is important to develop intelligent visual understanding systems to satisfy our need for searching information of interest. An important example of such a system that, with the current increasing concern for public security, is urgently required, is an automated person Re-Identification (ReID) system. This thesis mainly focuses on exploring ReID systems via deep learning methods. To enable ReID systems to meet the so-called open-world challenges, we explore three themes that are challenging yet practical in real application scenarios: lifelong learning, unsupervised domain adaptation and cross-modality challenge. Furthermore, this thesis provides numerous experiments and in-depth analysis, which can help motivate further research on the three research themes.

Supervisor(s)

  • Prof. M.S. Lew
  • Prof. A. Plaat

PhD dissertations

Approximately one week after the defence, PhD dissertations by Leiden PhD students are available digitally through the Leiden Repository, that offers free access to these PhD dissertations. Please note that in some cases a dissertation may be under embargo temporarily and access to its full-text version will only be granted later.

Press enquiries (journalists only)

Marieke Epping
Scientific communication adviser
m.epping@bb.leidenuniv.nl
071 527 1521

General information

Beadle's Office
pedel@bb.leidenuniv.nl
+31 71 527 7211

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