Low Light Image Enhancement hos Københavns Universitet

Natural Language Processing

Forskerne arbejder med metoder til automatisk at behandle, forstå og generere tekst, typisk ved hjælp af statistiske modeller og machine learning. Anvendelser af sådanne metoder omfatter automatisk faktatjek, oversættelser af computere og svar på spørgsmål.

Forskningsfeltet opdeles på DIKU i tre områder:

Core Natural Language Processing Natural Language Understanding Multi-modal Language Processing

Læs mere her: https://di.ku.dk/english/research/nlp/

Engelsk version:

The research section investigates methods to automatically process, understand as well as generate text, typically using statistical models and machine learning. Applications of such methods include automatic fact-checking, machine translation, question answering, and visually grounded language learning.

The section is divided into three areas:

Core Natural Language Processing Natural Language Understanding Multi-modal Language Processing

Read more here: https://di.ku.dk/english/research/nlp/

Project idea:

  • Are you interested for image enhancement?
  • Bad quality of image (like low light, blurred) leads to incorrect result.
  • We can employ different techniques to improve the image quality.


Supervisor:
Sandeep Singh Sengar, PostDoc@DIKU
sengar@di.ku.dk

  • Come forward for more questions and discussion


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