Intelligence Multimedia Research Group · Informatics, ITERA
We teach machines to see, hear, read and create.
iMul builds deep-learning and multimedia-processing methods that work with images, video, audio and text: understanding what the media contains, extracting the information hidden in it, and generating new media, often for Indonesian languages, faces and places.
Image & video
17 thesesPixels and frames: recognise what is in them and measure what changes over time.
Audio & speech
5 thesesSound and voice: classify it, transcribe it, pull apart overlapping sources.
Text & language
4 thesesWords, especially Indonesian: read the sentiment, condense it, generate it.
Multimodal
1 thesesWhen one medium is not enough: fuse image, sound and text into one model.