Maxim Karpushin

Local visual features extraction from texture+depth content based on depth image analysis

Giuseppe Valenzise, Frédéric Dufaux, Maxim Karpushin, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

A scale space for texture+depth images based on a discrete laplacian operator

Giuseppe Valenzise, Frédéric Dufaux, Maxim Karpushin, 2015, 2015 IEEE International Conference on Multimedia and Expo (ICME).

Keypoint Detection in RGBD Images Based on an Anisotropic Scale Space

Giuseppe Valenzise, Frédéric Dufaux, Maxim Karpushin, 2016, IEEE Transactions on Multimedia.

Keypoint detection in RGBD images based on an efficient viewpoint-covariant multiscale representation

Giuseppe Valenzise, Frédéric Dufaux, Maxim Karpushin, 2016, 2016 24th European Signal Processing Conference (EUSIPCO).

Local features for RGBD image matching under viewpoint changes. (Caractéristiques locales pour la mise en correspondance d'images RGBD sous changements de position de la camera)

Maxim Karpushin, M. Karpushin, 2016 .

Improving distinctiveness of brisk features using depth maps

Giuseppe Valenzise, Frédéric Dufaux, Maxim Karpushin, 2015, 2015 IEEE International Conference on Image Processing (ICIP).

TRISK: A local features extraction framework for texture-plus-depth content matching

Giuseppe Valenzise, Frédéric Dufaux, Maxim Karpushin, 2018, Image Vis. Comput..

An image smoothing operator for fast and accurate scale space approximation

Giuseppe Valenzise, Frédéric Dufaux, Maxim Karpushin, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Good features to track for RGBD images

Giuseppe Valenzise, Frédéric Dufaux, Maxim Karpushin, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).