Ingmar Weber

Also published under:I. Weber

Affiliation

Saarland University, Saarbrücken, Germany

Topic

Achievement Gap,Application Programming Interface,Basis For Further Exploration,Bidirectional Long Short-term Memory,Big Data,Broccoli,Canonical Correlation Analysis,Class Activation Maps,Class Instances,Classification Loss,Common Space,Composite Image,Computer Vision Community,Concept Of Food,Consistency Loss,Cryptocurrencies,Cycle Consistency Loss,Deep Network,Deep Residual Network,Economic Participation,Educational Attainment,Embedding Learning,External Index,Female Counterparts,Food Images,Food Recipes,Gender Differences,Gender Gap,Gender Inequality,Generation Module,Generative Adversarial Networks,Generative Adversarial Networks Model,Gini Coefficient,Global Gap,Global Index,Global Inequality,Global Level,Ground Truth Segmentation,Highest Average Value,Image Embedding,Image Inpainting,Image Object,Image Pixels,Image Representation,Image Retrieval,Image-level Labels,Information Technology Industry,Input Image,Instagram,Job Title,

Biography

Ingmar Weber received the undergraduate degree in mathematics from Cambridge University, before working toward the PhD degree at the Max-Planck Institute for Computer Science. He is the research director for Social Computing at the Qatar Computing Research Institute (QCRI). He has held positions at the Ecole Polytechnique Federale de Lausanne (EPFL) and Yahoo Research Barcelona, as well as a visiting researcher position at Microsoft Research Cambridge. He is an ACM, IEEE and AAAI senior member.