List of Publications

• G Nagendar, Digvijay Singh and C. V. Jawahar -  NeuroIoU: Learning a Surrogate Loss for Semantic Segmentation Proceedings of the British Machine Vision Conference, 03-06 Sep 2018, Northumbria[PDF]

• Nagendar G., C. V. Jawahar -  Fast Approximate Dynamic Wraping Kernals Proceedings of the 2nd IKDD Conferenc on Data Sciences, 18-21 Mar 2015, Bangalore, India.[PDF]

• Nagendar G, C. V. Jawahar - Efficient Word Image Retrieval using Fast DTW Distance Proceedings of the 13th IAPR International Conference on Document Analysis and Recognition, 23-26 Aug 2015 Nancy, France. [PDF]

• G Nagendar, Sai Ganesh, Mahesh Goud, C V Jawahar - Action Recognition using Canonical Correlation Kernels The 11th Asian Conference on Computer Vision, 5-9 Nov. 2012, Daejeon, Korea. [PDF]
  

List of Projects

Action Recognition using Canonical Correlation Kernels

People Involved :G Nagendar, C V Jawahar

Action recognition has gained significant attention from the computer vision community in recent years. This is a challenging problem, mainly due to the presence of significant camera motion, viewpoint transitions, varying illumination conditions and cluttered backgrounds in the videos. A wide spectrum of features and representations has been used for action recognition in the past. Recent advances in action recognition are propelled by (i) the use of local as well as global features, which have significantly helped in object and scene recognition, by computing them over 2D frames or over a 3D video volume (ii) the use of factorization techniques over video volume tensors and defining similarity measures over the resulting lower dimensional factors. In this project, we try to take advantages of both these approaches by defining a canonical correlation kernel that is computed from tensor representation of the videos. This also enables seamless feature fusion by combining multiple feature kernels.