Welcome. The Imperial Computer Vision and Learning Lab is as a part of Intelligent Systems and Networks Group at Department of Electrical and Electronic Engineering of Imperial College London. We are also a part of Robotics research in the college.

Our research interests are visual learning, recognition and perception, including 1) 2D/3D object detection, categorisation and tracking, 2) action and activity recognition, 3) face recognition and surveillance, 4) semantic image segmentation, 5) man-machine interface. Our tutorial on 6) Randomised Decision Forests, Boosting and continuous learning was the first of its kind in CV.

News:

If you are interested in joining the lab, please see here.

Our team is co-organising the CVPR15 workshop on observing and understanding hands in action (HANDS 2015).


Dr T-K Kim has been invited to give a keynote at BMVA symposium on Vision for human-computer interaction and virtual reality systems, London, UK, May 2015, a (full day) lecture at visum (VISion Understanding and Machine intelligence) summer school, Porto, Portugal, Jul 2015, and a lecture at BMVA computer vision summer school, Swansea, UK, Jun 2015.

Our team does outreach activities at Science Festival: including 6 DoF object detection demo, in the Robotics Forum stand, Imperial College Science Festival, and invited main talk, on machine learning, at Pint of Science (a charity Science Festival), May 2015.

We have 1 paper accepted for AAAI15 and 1 paper accepted for IEEE Virtual Reality (VR)15.

Our PhD student, Wenhan Luo, received an intern offer from Microsoft Research Asia.

We have 4 papers (1 oral, 3 posters) accepted for CVPR 2014.

We have 2 papers accepted for ECCV 2014.

We won the best paper award at ICRA 2014, Hong Kong, sponsored by KUKA.

For further news, go here.

Contact Information

  • E-mail: tk.kim at imperial.ac.uk (T-K. Kim)
  • http://www.iis.ee.ic.ac.uk/icvl
  • Address: Department of Electrical and Electronic Engineering, Imperial College, South Kensington Campus, London SW7 2AZ, UK.
  • Fax (secretary): +44 (0)20 75946274

Copyright 2010, Tae-Kyun Kim, All Rights Reserved.

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