Department of Computer Science

Visual Computing

Creation and understanding of images, shapes, and 3D spaces.
Person wearing a virtual reality headset, illustration by Matti Ahlgren

Visual computing studies the creation and understanding of images, shapes, and three-dimensional spaces by computational means. As we seek to increase our understanding of not just how to create and analyze images and sounds, but also how we humans perceive, react to, and interact with them, research in visual computing is of an increasingly interdisciplinary nature.

Research topics: Computer graphics and animation, computer vision, generative modeling in machine learning, virtual acoustics.

Games Now!

Games Now! is an open lecture series on the dominant topics and emerging trends in games.

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GamesNow Lecture Series
Elisa Mekler

Harnessing psychological theory for better video games

Psychological theories on motivation hold great promise for video game development and for understanding how games impact people, but only little is known about how these theories actually are used in the games industry.

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Christian Guckelsberger in front of graffiti

Teaching creativity to computers - Christian Guckelsberger wants to equip AI with the motivation to discover the unexpected

Research on computational intrinsic motivation could answer some fundamental questions about the nature of creativity, but also improve household robotics or even self-driving cars

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Two white-face sakis sitting on a tree branch and grooming in Korkeasaari Zoo

Saki monkeys get screen time for more control over their lives in captivity

Computer scientists have designed a video player that the small primates can activate on demand

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Gan.uvia

Forbes AI Award to research on image-creating GAN models

The magazine pays tribute to the development of a model that starkly reduces the amount of data needed for generating new, artificial images

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Kuvituskuva videopelien pelaajasta

Video games evoke emotions that even music and cinema fail to reach

A recent doctoral dissertation shows players appreciate evoked emotional experiences, even when some are far from positive

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Jaakko Lehtinen

Jaakko Lehtinen receives an ERC Consolidator Grant of nearly 2 million euros

The European Research Council Consolidator Grant goes to Professor Jaakko Lehtinen for a project to build a computer that “sees” the real world much better than the current methods do

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Related research groups

Latest publications

WAVE : Anticipatory Movement Visualization for VR Dancing

Markus Laattala, Roosa Piitulainen, Nadia Ady, Monica Tamariz, Perttu Hämäläinen 2024 CHI '24: Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems

Temporal teacher with masked transformers for semi-supervised action proposal generation

Selen Pehlivan, Jorma Laaksonen 2024 MACHINE VISION AND APPLICATIONS

AS-Net : active speaker detection using deep audio-visual attention

Abduljalil Radman, Jorma Laaksonen 2024 Multimedia Tools and Applications

HSCNet++ : Hierarchical Scene Coordinate Classification and Regression for Visual Localization with Transformer

Shuzhe Wang, Zakaria Laskar, Iaroslav Melekhov, Xiaotian Li, Yi Zhao, Giorgos Tolias, Juho Kannala 2024 INTERNATIONAL JOURNAL OF COMPUTER VISION

Discovering Fatigued Movements for Virtual Character Animation

Noshaba Cheema, Rui Xu, Nam Hee Kim, Perttu Hämäläinen, Vladislav Golyanik, Marc Habermann, Christian Theobalt, Philipp Slusallek 2023 Proceedings - SIGGRAPH Asia 2023 Conference Papers, SA 2023

Visual Localization via Few-Shot Scene Region Classification

Siyan Dong, Shuzhe Wang, Yixin Zhuang, Juho Kannala, Marc Pollefeys, Baoquan Chen 2023 Proceedings - 2022 International Conference on 3D Vision, 3DV 2022

TBPos

Masud Fahim, Ilona Söchting, Luca Ferranti, Juho Kannala, Jani Boutellier 2023 Image Analysis - Proceedings of SCIA 2023

PiTL

Zixin Guo, Tzu Jui Julius Wang, Selen Pehlivan, Abduljalil Radman, Jorma Laaksonen 2023 SIGIR 2023 - Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval

Evaluating Large Language Models in Generating Synthetic HCI Research Data: a Case Study

Perttu Hämäläinen, Mikke Tavast, Anton Kunnari 2023 Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI ’23)

Data-driven Pixel Filter Aware MIP Maps for SVBRDFs

Pauli Kemppinen, Miika Aittala, Jaakko Lehtinen 2023 Eurographics Symposium on Rendering
More information on our research in the Aalto research portal.
Research portal

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Helsinki Institute for Information Technology HIIT (external link)

Collaborative institute for research on information technology.

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PML research gropu at department of computer science, photo Matti Ahlgren

Research in Computer Science

Research in the Department of Computer Science

Department of Computer Science
Mahine Learning researchers working at Department of Computer Science in Aalto University

Department of Computer Science

To foster future science and society.

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School of Science

Science for tomorrow’s technology, innovations and businesses

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