Manish Narwaria and Aditya Tatu, Interval-Based Least Squares for Uncertainty-Aware Learning in Human-Centric Multimedia Systems, IEEE Transactions on Neural Networks and Learning Systems, October 2020 [Early Access] (PDF)(Publisher site).
Sumukh Bansal and Aditya Tatu, Affine Interpolation in a Lie Group Framework, ACM Transactions on Graphics, vol. 38(4), July 2019. (In proceedings of 46th ACM SIGGRAPH). (PDF)(Publisher site)
Nileshkumar Vaishnav and Aditya Tatu, Signal Processing on Graphs: Structure Preserving Maps, IET Signal Processing, vol. 13(1), February 2019. (PDF)(Publisher site)
Sumukh Bansal and Aditya Tatu, Active Contour Models for Manifold Valued Image Segmentation, J. of Mathematical Imaging and Vision, vol. 52(2), pp. 303-314, June 2015.(PDF)(Publisher site)
Aditya Tatu, Francois Lauze, Stefan Sommer and Mads Nielsen, On Restricting Planar Curve Evolution to Finite Dimensional Implicit Subspaces with Non-Euclidean Metric, J. of Mathematical Imaging and Vision, vol. 38(3), pp. 226-240, November 2010.(PDF)(Publisher site)
Sumukh Bansal and Aditya Tatu, Lie Bodies Based Deformation Transfer, 11th Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP), Hyderabad, India, December 2018.(PDF)
Sumukh Bansal and Aditya Tatu, Lie Bodies Based 3D Shape Morphing and Interpolation, 15th ACM SIGGRAPH European Conference on Visual Media Production (CVMP), London, UK, December 2018.(PDF)
Nileshkumar Vaishnav and Aditya Tatu, Analysis of Downsampling of DCT-Graphs, Intl. Conf. on Signal Processing and Communications (SPCOM), India, July 2018.(PDF)
Nileshkumar Vaishnav and Aditya Tatu, Downsampling on Bipartite Graphs: An Algebraic Perspective, 5th IEEE Global Conf. on Signal and Information Processing (GlobalSIP), Canada, November 2017.(PDF)
Darshan Batavia and Aditya Tatu, Estimating graph topology from sparse graph signals with an application to image denoising, 19th IEEE Intl. W’shop on Multimedia Signal Processing (MMSP), UK, October 2017.(PDF)
Aditya Tatu and Sumukh Bansal, A Novel Active Contour Model for Texture Segmentation, 10th Intl. Conf. on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), HongKong, January 2015.(PDF)
Aditya Tatu, Francois Lauze, Mads Nielsen and Benjamin Kimia, Exploring the representation capabilities of the HOG descriptor, 1st Intl. W’shop on Information Theory in Computer Vision & Pattern Recognition, ICCV, Spain, November 2011.(PDF)
Stefan Sommer, Aditya Tatu, Chen Chen, Dan R. Jorgensen, Marleen de Bruijne, Marco Loog, Mads Nielsen and Francois Lauze, Bicycle Chain Shape Models, CVPR W’shop on Mathematical Methods in Biomedical Image Analysis (MMBIA), USA, June 2009.(PDF)
Tatu A., Lauze F., Nielsen M. and Olsen O. F., Curve Evolution in Subspaces, 1 st Intl. Conf. on Scale Space and Variational Methods (SSVM), Italy, May 2007.(PDF)
1. Aditya Tatu, Tangled splines, Arxiv, August 2018.(PDF)