Computer Vision Laboratory (CVL)

Welcome to the Computer Vision Laboratory (CVL), part of the Department of Electrical engineering at Linköping University.

Autonoma system datorseendePhoto: Göran Billeson

The field of computer vision is a sub area of AI, and it has its roots in the modeling of the human visual system (HVS).

It is commonly accepted that about 80% of what we perceive is vision-based (DOI 10.3233/NRE-2010-0599), but modeling vision is a systematically underestimated scientific challenge - an implication of Moravec’s paradox, “We're least aware of what our minds do best” (Minsky 1986).

The highly intuitive nature of the HVS makes it difficult for us to understand the myriad of interdisciplinary problems associated with computer vision.

The research at the Computer Vision Laboratory (CVL) has a strong focus on theory and methods, in particular within machine learning, signal processing, and applied mathematics. The resulting methods are applied in fields where technical systems are supposed to coexist with and therefore predict actions of humans. Self-driving cars sharing road space and interacting with humans, sustainable forestry and agriculture, monitoring of greenhouse gases as well as classification and monitoring of animals are some application domains.

CVL's research topics cover a wide range of challenges within machine learning for computer vision and robot perception:

  • Continuous-time modeling of 3D motion
  • Estimation of pose and 3D structure
  • Few-shot and weakly supervised learning
  • Geometric deep learning
  • Human and animal motion analysis
  • Medical imaging and analysis
  • Quantum machine learning
  • Reinforcement learning
  • Remote sensing and data analysis
  • Semi-supervised and incremental learning
  • Scene flow estimation
  • Uncertainty representation
  • Video and semantic segmentation
  • Vision for action

'He who loves practice without theory is like the sailor who boards ship without a rudder and compass and never knows where he may cast.'
Leonardo da Vinci (1452-1519)

 

Courses

Courses given by the Division of Computer Vision Laboratory

Specialisations

Specialisation in Computer Vision and Signal Analysis

Thesis

Master Thesis Projects in Computer Vision

 

Follow CVL on social media

Twitter @CvlIsy

Contact

Research within WASP Computer Vision Laboratory

Other research collaborations

News

ELLIIT Joint Autonomous Systems Lab in Linköping and Lund showcasing autonomous robot.

The University Board on Study Visit to Visionen

In December 2023, the university board visited the Department of Electrical Engineering (ISY). In the research arena Visionen, examples were presented highlighting Linköping University's crucial role in technological and societal development.

The supercomputer Berzelius photographed with fisheye lens.

Swedish AI research gets more muscle

The supercomputer Berzelius was inaugurated in the spring of 2021, and was then Sweden's fastest supercomputer for AI. Yet, more power is needed to meet the needs of Swedish AI research.

Successful premiere for ISY's PhD Workshop

For the first time the Department of Electrical Engineering organized an all-day conference dedicated solely to the department's PhD-students. Afterwards the director of PhD studies, Mark Vesterbacka, was more than satisfied when he summed up the day

Portrait of Michael Felsberg with closed eyes.

Human vision – a challenge for AI

Achieving diversity in human vision is one of the major challenges for AI research. In the vast majority of cases, we are better than machines at understanding the world around us. But machines are catching up – slowly but surely.

Person with hoodie sitting behind computer in dark room.

AI: Helping criminal investigators find digital evidence

Cyberattacks are an increasing threat to society. So, for crime investigators, digital evidence is becoming more important in the hunt for criminals. And the technology exists – not least at Linköping University, where AI is an area of excellence.

Facial recognition

Facial recognition used in more and more ways

Research into facial recognition has been under way for a long time, but has really taken off in recent years. “The technology is beginning to be used in more and more contexts”, says Jörgen Ahlberg, researcher in computer vision.

Latest publications

2024

Krešimir Bešenić, Jörgen Ahlberg, Igor Pandžić (2024) Let Me Take a Better Look: Towards Video-Based Age Estimation Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods - ICPRAM, Rome , Italy, p. 57-59 Continue to DOI
Martin Larsen, Sigmund Rolfsfjord, Daniel Gusland, Jörgen Ahlberg, Kim Mathiassen (2024) BASE: Probably a Better Approach to Visual Multi-Object Tracking Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Rome, Italy, 2024, p. 110-121 Continue to DOI
Long Li, Junwei Han, Nian Liu, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Khan (2024) Robust Perception and Precise Segmentation for Scribble-Supervised RGB-D Saliency Detection IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 46, p. 479-496 Continue to DOI
Neelu Madan, Nicolae-Catalin Ristea, Radu Tudor Ionescu, Kamal Nasrollahi, Fahad Khan, Thomas B. Moeslund, Mubarak Shah (2024) Self-Supervised Masked Convolutional Transformer Block for Anomaly Detection IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 46, p. 525-542 Continue to DOI
Wafa Alghallabi, Akshay Dudhane, Waqas Zamir, Salman Khan, Fahad Khan (2024) Accelerated MRI Reconstruction via Dynamic Deformable Alignment Based Transformer MACHINE LEARNING IN MEDICAL IMAGING, MLMI 2023, PT I, p. 104-114 Continue to DOI

Staff at the Computer Vision Laboratory

About the Department