Computer Vision

Computer vision research utilizes artificial and human intelligence to analyze and interpret videos and images. It covers different topic areas including representation learning, multimodal learning, video understanding, as well as temporal machine learning and dynamics.

Computer Vision

Computer Vision

Computer vision research utilizes artificial and human intelligence to analyze and interpret videos and images. It covers different topic areas including representation learning, multimodal learning, video understanding, as well as temporal machine learning and dynamics.

Researchers

Xiantong Zhen
ELLIS Faculty
Arnold Smeulders
ELLIS Faculty
Theo Gevers
ELLIS Faculty
Pascal Mettes
ELLIS Faculty
Marcel Worring
ELLIS Fellow
Efstratios Gavves
ELLIS Scholar
Yuki M. Asano
ELLIS Faculty
Shaodi You
ELLIS Faculty
Cees Snoek
ELLIS Fellow

Ecosystem

AIM Lab B
AIM Lab
Computer Vision Lab
Computer Vision Lab
QUVA Lab
QUVA-lab
ATLAS Lab
Atlas Lab
POPAART Lab
POP-AART Lab
MultiX B
MultiX
VIS Lab
VIS Lab
Delta Lab
Delta Lab

Browse other research themes

Table Representation Learning
Socially Intelligent Artificial Systems (SIAS)
Natural Language Processing
Focuses on the interpretation and generation of language
ML Foundations
Involves an in-depth understanding of ML
ML for Health
Applies AI techniques in healthcare
Information Retrieval
Connects people to information effectively