Hoppa till huvudinnehållet
Till KTH:s startsida Till KTH:s startsida

Publications

Conference Proceedings

  1. Non-Parametric Spatial Context Structure Learning for Autonomous Understanding of Human Environments. Thippur, Akshaya and Stork, Johannes and Jensfelt, Patric. RO-MAN 2017 <paper-link>

  2. Probabilistic Primitive Refinement algorithm for colored point cloud data. Ekekrantz, J., Thippur, A., Folkesson, J., & Jensfelt, P. (2015, September). In Mobile Robots (ECMR), 2015 European Conference on (pp. 1-8). IEEE.

  3. A Comparison of Qualitative and Metric Spa-tial Relation Models for Scene Understanding. Akshaya Thippur, Chris Burbridge, Lars Kunze, Marina Alberti, John Folkesson, Patric Jensfelt, Nick Hawes. Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI 2015).
  4. KTH-3D-TOTAL: A 3D Dataset for Discovering Spatial Structures for Long-Term Autonomous Learning. Akshaya Thippur, Rares Ambrus, Gaurav Agrawal, Adria Gallart del Burgo, JanardhanHaryadi Ramesh, Mayank Kumar Jha, Malepati Bala Siva Sai Akhil, Nishan Bha-vanishankar Shetty, John Folkesson, Patric Jensfelt. IEEE International Conference on Control Automation Robotics and Computer Vision (ICARCV 2014).
    Find the dataset here: KTH-3D-TOTAL
  5. Combining top-down spatial reasoning and bottom-up object class recognition for scene understanding. Lars Kunze, Chris Burbridge, Marina Alberti, Akshaya Thippur, John Folkesson, Patric Jensfelt, and Nick Hawes. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2014).
  6. Inferring hand pose: A comparative study of visual shape features. Akshaya Thippur, Carl Henrik Ek, and Hedvig Kjellström. 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG2013).

  7. Probabilistic modeling of bowing gestures for gesture-based violin sound synthesis. Akshaya Thippur, Anders Askenfelt, and Hedvig Kjellström. Proc. of Stockholm Music Acoustics Conference 2013 (SMAC 13).

  8. An uncertainty decoding approach to noise-and reverberation-robust speech recognition. Roland Maas, Akshaya Thippur, Armin Sehr, and Walter Kellermann. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013).

Thesis

  1. Comparative Analysis of Visual Shape Features for Applications to Hand Pose Estimation. Akshaya Thippur, Thesis for Master of Science in Machine Learning. Advisors: Carl Henrik Ek and Hedvig Kjellström. Computer Vision and Active Perception Laboratory, KTH Royal Institute of Technology, Stockholm, October 2012.
Profilbild av Akshaya Thippur Sridatta

Portfolio