Hedvig Kjellström
Professor
Detaljer
Om mig
I am a Professor in the Division of Robotics, Perception and Learning, KTH, and also affiliated with Swedish e-Science Research Centre and Max Planck Institute for Intelligent Systems, Germany. A short bio is found here.
My main area of research is Computer Vision, which is a sub-field of AI. In my research I develop computer methods to observe and make inferences and predictions about humans and other animals. As outlined in the Portfolio pages, three partly overlapping themes in my research are Computational Aesthetics, Communicative Behavior and Embodied Artificial Intelligence.
I am an Editor-in-Chief for CVIU and was a Program Chair for CVPR 2025.
I teach in the Bachelor program Engineering Mathematics and in the Master programs Machine Learning, Computer Science and Systems, Control and Robotics at KTH. My current courses are found below.
In my free time I play the double bass in different settings, more info here.
News
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Since 2023 I am part of the AI exhibition at Tekniska museet in Stockholm (in Swedish with English subtitles). I can really recommend a visit to this incredibly exciting museum, crossing science, technology, and art. |
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On December 19, 2024, I took part in the radio show Förmiddag med Louise Epstein and talked about how AI and humans can live together. Here is the espisode (in Swedish). |
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NEW PAPER: Neeru Dubey, Elin Karlsson, Miguel Angel Redondo, Johan Reimegård, Anna Rising, and Hedvig Kjellström. Customizing spider silk: Generative models with mechanical property conditioning for protein engineering. Transactions on Machine Learning Research, to appear, 2025. |
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NEW PAPER: Carles Balsells-Rodas, Xavier Sumba, Tanmayee Narendra, Ruibo Tu, Gabriele Schweikert, Hedvig Kjellström, and Yingzhen Li. Causal discovery from conditionally stationary time series. In International Conference on Machine Learning, 2025. |
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NEW PAPER: Ci Li, Yi Yang, Zehang Weng, Elin Hernlund, Silvia Zuffi, and Hedvig Kjellström. Dessie: Disentanglement for articulated 3D horse shape and pose estimation from images. In Asian Conference on Computer Vision, 2024. Videos and code |
Kurser
Examensarbete i datalogi och datateknik med inriktning mot industriell ekonomi, avancerad nivå (DA235X), examinator
Examensarbete i datalogi och datateknik med inriktning mot maskininlärning, avancerad nivå (DA233X), examinator
Examensarbete i datalogi och datateknik med inriktning mot systemteknik och robotik, avancerad nivå (DA236X), examinator
Examensarbete i datalogi och datateknik, avancerad nivå (DA231X), examinator
Examensarbete i datalogi och datateknik, avancerad nivå (DA239X), examinator
Examensarbete inom datalogi och datateknik med inriktning mot inbyggda system, avancerad nivå (DA248X), examinator
Examensarbete inom datateknik, avancerad nivå (DA250X), examinator
Examensarbete inom elektroteknik med inriktning mot systemteknik och robotik, avancerad nivå (EA236X), examinator
Examensarbete inom elektroteknik, avancerad nivå (EA250X), examinator
Examensarbete inom elektroteknik, avancerad nivå (EA238X), examinator
Grundläggande datalogi för tekniska beräkningar (DD1328), examinator, kursansvarig
Ingenjörsfärdigheter i teknisk matematik (SA1006), lärare
Multimodala interaktioner och gränssnitt (DT2140), lärare
Programsammanhållande kurs i maskininlärning (DD2301), lärare