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Jaakko Lehtinen, Associate Professor at Aalto University’s department of Computer Science, will receive a 1.9 million euro Consolidator Grant from the European Research Council (ERC).

The ERC funding was awarded to Lehtinen’s project Learning Pixel-Perfect 3D Vision and Generative Modeling (PIPE) for five years. The significant grant allows him and his research group to focus on studying how to bring models based on machine vision, machine learning, and physics together. Lehtinen hopes that the new funding attracts top-level postdoctoral researchers to his group. ‘We are talking about things that haven’t been yet demonstrated in almost any way. In that sense, our goals are very ambitious,’ he says.

To give an example, a machine can spot a tiger by its stripes – not its cat-like shape. GAN models, which Lehtinen and his colleagues helped develop, can generate very realistic human faces, but we cannot ask those models to tell what a face shape is based on those photos.

In the ERC-granted research project, Lehtinen studies the most fundamental questions of machine vision research – how can we teach a machine to perceive the world as animals do? – and his work can be used to help improve AI applications like robots.

Current robots only function well in environments in which conditions never change. That means that the robots’ skills are not generalizable: If we teach a machine to clean an apartment, it will not be able to do the task if we ever rearranged the furniture, let alone clean someone else’s apartment.

Creating AI that can operate with humans in a real, complex world is one of the main goals of the (FCAI) initiated by Aalto University, University of Helsinki, and VTT Technical Research Centre of Finland. Lehtinen is actively contributing to FCAI’s operations.

Findings answers to the research questions on which Lehtinen and his group focus helps to take game and film productions steps further. Currently, designing for example 3D environments of games is very laborious, slow, and expensive. ‘Should we succeed in all this, we will come up with something that has never been seen before.’

The ERC Consolidator Grants are awarded to outstanding researchers of any nationality and age, with seven to twelve years of experience after obtaining a doctoral degree, and a scientific track record showing great promise.

Lehtinen graduated as a Doctor of Science (in Technology) from the Helsinki University of Technology in 2007 after which he worked as a postdoctoral researcher at the Massachusetts Institute of Technology (MIT) for three years. Aalto University appointed him as an Associate Professor in 2012, and in addition, he works as a Principal Research Scientist at NVIDIA.

Further information

Jaakko Lehtinen
Associate Professor, Aalto University
jaakko.lehtinen@aalto.fi