4 PhD positions in Machine Learning and Computer Vision in QMUL

[Thmmy.gr portal]

  Thmmy.gr portal
   Forum
   Downloads
   Ενεργ. Λογαριασμού
   Επικοινωνία
  
  Χρήσιμα links
   Σελίδα τμήματος
   Βιβλιοθήκη Τμήματος
   Elearning
   Φοιτητικά fora
   Πρόγραμμα Λέσχης
   Πρακτική Άσκηση
   Ηλεκτρονική Εξυπηρέτηση Φοιτητών
   Διανομή Συγγραμμάτων
   Ψηφιακό Καταθετήριο Διπλωματικών
   Πληροφορίες Καθηγητών
   Instagram @thmmy.gr
   mTHMMY
  
  Φοιτητικές Ομάδες
   ACM
   Aristurtle
   ART
   ASAT
   BEAM
   BEST Thessaloniki
   EESTEC LC Thessaloniki
   EΜΒ Auth
   IAESTE Thessaloniki
   IEEE φοιτητικό παράρτημα ΑΠΘ
   SpaceDot
   VROOM
   Panther
  

THMMY.gr Web

Helios_MultiScribbles2SMF Default ThemeSMFone_Blue

[Ανεβάζετε τα θέματα των εξετάσεων στον τομέα Downloads]

Είσαι πρωτοετής;... Καλώς ήρθες! Μπορείς να βρεις πληροφορίες εδώ. Βοήθεια για τους καινούργιους μέσω χάρτη.

Κατεβάστε εδώ το Android Application για εύκολη πρόσβαση στο forum.

Ανεβάζετε τα θέματα των εξετάσεων στον τομέα Downloads με προσοχή στα ονόματα των αρχείων!

Για οποιοδήποτε πρόβλημα με register/login, στείλτε email στο contact@thmmy.gr.

[Αιμιλία η φτερωτή χελώνα]

Four (4) PhD positions in the area of Computer Vision and Machine Learning for the analysis of actions,
activity and behavior with applications in the field of Augmented Reality, Affective Computing and/or
Mental Health are available in the group of Multimedia and Vision in the School of Electronic Engineering
and Computer Science in Queen Mary University of London.

At a methodological level, the work will focus on the development of novel Machine Learning methods for
learning from multimodal data, on learning with efficient architectures and on learning from few or no annotations.

For more information, please visit: https://sites.google.com/view/ioannispatras/phd-positions

Contact Prof. Patras, i.patras@qmul.ac.uk and/or Dr Tzimiropoulos g.tzimiropoulos@qmul.ac.uk with an email with subject that includes the string: [PhD-2022]

Team
The student will be based in the Multimedia and Vision group in the school of EECS. Queen Mary University of London
is a research intensive university and a member of the Russel group. The school of EECS is 11th in the UK for quality
of computer science research (REF 2014) and 6th in the UK for quality of electronic engineering research (REF 2014).
The School is a dynamic community of approximately 350 PhD students and 80 research assistants.The school has
one of the largest teams in Computer Vision in the UK and a very strong team in Computational Linguistics.
For more information please see:

Ioannis Patras: Home page, Google Scholar
Georgios Tzimiropoulos: Homepage, Google Scholar
Multimedia and Vision Research group: Homepage
Cognitive Sciences Research group: CogSci homepage

Computing Infrastructure: The team has a Deep Learning computing infrastructure with over 256 CPU cores, 6 large GPU servers with 175,248 CUDA (GPU) cores and 36TB of storage.

References
[1] M Bishay, G Zoumpourlis, I Patras, “TARN: Temporal Attentive Relation Network for Few-Shotand Zero-Shot Action Recognition”, British Machine Vision Conference, Sept. 2019.
[2] J Yang, B Martinez, A Bulat, G Tzimiropoulos, “Knowledge Distillation via Softmax Regression Representation Learnings”, Int’l Conference on Representation Learning, 2021
[3] M Bishay, P Palasek, S Priebe, I Patras, “Schinet: Automatic estimation of symptoms of schizophrenia from facial behaviour analysis” IEEE Transactions on Affective Computing, 2019
[4] Giorgos Kordopatis-Zilos, Christos Tzelepis, Symeon Papadopoulos, Ioannis Kompatsiaris, Ioannis Patras, “DnS: Distill-and-Select for Efficient and Accurate Video Indexing and Retrieval”, ArXiv, 2021

ΥΓ: ισως παρατηρησετε ενα overlap με διπλανο thread του board. αναφερεται εν μερει στις ιδιες θεσεις, αλλα και σε αλλες

[Katarameno]

Εγώ, καθότι πολύ παρατηρητικός αν θέλω, παρατήρησα και ένα ...loop