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Hedvig Kjellström

Profile picture of Hedvig Kjellström

PROFESSOR

Details

Address
LINDSTEDTSVÄGEN 24
Room

About me

I am a Professor in the Division of Robotics, Perception and Learning, KTH. I am also a Principal AI Scientist at Silo AI and an affiliated researcher in the Perceiving Systems Department, Max Planck Institute for Intelligent Systems in Tübingen, Germany. A short bio is found here.

I do research in Computer Vision and Machine Learning. The general theme of my research is methods for enabling artificial agents to interpret the behavior of humans and other animals, and also to behave in ways interpretable to humans. As outlined in the Portfolio pages, these ideas are applied in Performing Arts, Healthcare, Veterinary Science, and Smart Society.

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

We will present our recent work on anatomically correct 3D pose and shape modeling of horses in the CVPR Workshop on Computer Vision for Animal Behavior Tracking and Modeling. See you online on June 25 at 15:30 PST / June 26 at 00:30 CEST!
I look forward to giving a talk in the SHIFT Business Festival on August 25 at 15:15 EEST, in my role as Principal AI Scientist at Silo AI. If all goes well, the talk will be live in Turku/Åbo (and available online).
Pia Haubro Andersen, Sofia Broomé, Maheen Rashid, Johan Lundblad, Katrina Ask, Zhenghong Li, Elin Hernlund, Marie Rhodin, and Hedvig Kjellström. Towards machine recognition of facial expressions of pain in horses. Animals, doi: 10.3390/ani11061643, 2021.
Patrik Jonell*, Birger Moëll*, Krister Håkansson*, Gustav Eje Henter, Taras Kucherenko, Olga Mikheeva, Göran Hagman, Jasper Holleman, Miia Kivipelto, Hedvig Kjellström, Joakim Gustafson and Jonas Beskow. Multimodal capture of patient behaviour for improved detection of early dementia: Clinical feasibility and preliminary results. Frontiers in Computer Science, doi: 10.3389/fcomp.2021.642633, 2021. (*Joint first authors)
Taras Kucherenko, Dai Hasegawa, Naoshi Kaneko, Gustav Eje Henter, and Hedvig Kjellström. Moving fast and slow: Analysis of representations and post-processing in speech-driven automatic gesture generation. International Journal of Human-Computer Interaction, doi: 10.1080/10447318.2021.1883883, 2021.
TEDxKTHSalon talk on May 10, 2021: AI - what should we focus on? 
Medium blog post on February 5, 2020: Singulariteten... Är det verkligen den mest angelägna frågan?

Courses

Applied Programming and Computer Science (DD2325), examiner, course responsible, teacher | Course web

Degree Project in Computer Science and Engineering, Second Cycle (DA250X), examiner | Course web

Degree Project in Computer Science and Engineering, specializing in Industrial Management, Second Cycle (DA235X), examiner | Course web

Degree Project in Computer Science and Engineering, specializing in Machine Learning, Second Cycle (DA233X), examiner | Course web

Degree Project in Computer Science and Engineering, specializing in Systems, Control and Robotics, Second Cycle (DA236X), examiner | Course web

Degree Project in Electrical Engineering, Second Cycle (EA238X), examiner | Course web

Degree Project in Electrical Engineering, Second Cycle (EA250X), examiner | Course web

Degree Project in Electrical Engineering, specializing in Systems, Control and Robotics, Second Cycle (EA236X), examiner | Course web

Degree Project in Engineering Physics, First cycle (SA114X), teacher | Course web

Engineering Skills in Engineering Mathematics (SA1006), teacher | Course web

Multimodal Interaction and Interfaces (DT2140), teacher | Course web

Program Integrating Course in Machine Learning (DD2301), teacher | Course web