Skoltech is an international graduate research-focused university that was founded by the group of world-renowned scientists in 2011. Skoltech's curriculum focuses on technology and innovation, offering Master's programs in 11 technological disciplines. Students receive rigorous theoretical and practical training, design their own research projects, participate in internships and gain entrepreneurial skills in English. The faculty is comprised of current researchers with international accreditation and achievements.

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Skoltech Colloquium – January 23

We are proud to invite you to the Skoltech Colloquium!

When: January 23; 4:00pm
Where: Hypercube, 3rd floor (please see the location map attached)

What: Recent trends and future challenges in action recognition

Guest Speaker: Ivan Laptev is a research director at INRIA Paris-Rocquencourt, France. He received his PhD degree in Computer Science from the Royal Institute of Technology (KTH) in 2004 and a Master of Science degree from the same institute in 1997. He was a research assistant at the Technical University of Munich (TUM) during 1998-1999. He has joined INRIA as a postdoc in 2004 and became a full-time INRIA researcher in 2005. Ivan’s main research interests include visual recognition of human actions, objects and interactions. He has published over 50 papers at international conferences and journals of computer vision and machine learning. He serves as an associate editor of International Journal of Computer Vision and Image and Vision Computing Journal, he was/is an area chair for CVPR 2010, ICCV 2011, ECCV 2012, CVPR 2013 and ECCV 2014, he has co-organized several workshops and tutorials on human action recognition at major computer vision conferences. He has also co-organized a series of INRIA summer schools on computer vision and machine learning (2010-2013). Ivan was awarded ERC Starting Grant in 2012.

Abstract: This computer vision talk will overview recent progress and open challenges in human action recognition. Specifically, I will focus on the three problems of (i) action representation in video, (ii) weakly-supervised action learning and (iii) ambiguity of action vocabulary. To the first problem, I will overview local feature methods providing state-of-the-art results on current action recognition benchmarks. Motivated by the difficulty of large-scale video annotation, I will next present our recent work on weakly-supervised action learning from video and corresponding video scripts. I will finish by highlighting limitations of the standard action classification paradigm and will show recent work addressing this problem.

Transfers:

If you go by car please pass the details of your car to Alesya Garifullina so she could order a pass for you to the Hypercube. Please see the location map attached.

You can also use our shuttle bus which will depart from Slavyansky Boulevard at 3:15pm ( the last carriage from the city center, turn right and then go around the metro vestibule)
It will go to the MSM first, and at 3:45 will depart from the MSM from the parking area near Karakorum building to the Hypercube.

hypercube map(5) subway(3)

If you like to participate and for further information or questions, please Liliya Abaimova
We look forward to seeing you.

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