Mikhail G. Mozerov

Orcid: 0000-0002-1117-743X

According to our database1, Mikhail G. Mozerov authored at least 31 papers between 2000 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
MSIF: multi-spectrum image fusion method for cross-modality person re-identification.
Int. J. Mach. Learn. Cybern., February, 2024

2022
A novel framework for image-to-image translation and image compression.
Neurocomputing, 2022

2021
3D Shapes Local Geometry Codes Learning with SDF.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Slimmable Compressive Autoencoders for Practical Neural Image Compression.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Variable Rate Deep Image Compression With Modulated Autoencoder.
IEEE Signal Process. Lett., 2020

Improved Discrete Optical Flow Estimation With Triple Image Matching Cost.
IEEE Access, 2020

2019
One-View Occlusion Detection for Stereo Matching With a Fully Connected CRF Model.
IEEE Trans. Image Process., 2019

Sparse Data Interpolation Using the Geodesic Distance Affinity Space.
IEEE Signal Process. Lett., 2019

Temporal Coherence for Active Learning in Videos.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2017
Improved Recursive Geodesic Distance Computation for Edge Preserving Filter.
IEEE Trans. Image Process., 2017

2015
Global Color Sparseness and a Local Statistics Prior for Fast Bilateral Filtering.
IEEE Trans. Image Process., 2015

Accurate Stereo Matching by Two-Step Energy Minimization.
IEEE Trans. Image Process., 2015

2014
Extended Dynamic Programming and Fast Multidimensional Search Algorithm for Energy Minization in Stereo and Motion.
CoRR, 2014

2013
Constrained Optical Flow Estimation as a Matching Problem.
IEEE Trans. Image Process., 2013

2011
Accurate Moving Cast Shadow Suppression Based on Local Color Constancy Detection.
IEEE Trans. Image Process., 2011

2010
Nonlinear Synchronization for Automatic Learning of 3D Pose Variability in Human Motion Sequences.
EURASIP J. Adv. Signal Process., 2010

Robust Real-Time Background Subtraction Based on Local Neighborhood Patterns.
EURASIP J. Adv. Signal Process., 2010

2009
Trinocular stereo matching with composite disparity space image.
Proceedings of the International Conference on Image Processing, 2009

2008
A Simple Method of Multiple Camera Calibration for the Joint Top View Projection.
Proceedings of the Computer Recognition Systems 2, 2008

Trajectory Fusion for Multiple Camera Tracking.
Proceedings of the Computer Recognition Systems 2, 2008

Background subtraction technique based on chromaticity and intensity patterns.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

2007
Improving Background Subtraction Based on a Casuistry of Colour-Motion Segmentation Problems.
Proceedings of the Pattern Recognition and Image Analysis, Third Iberian Conference, 2007

2006
3D Human Motion Sequences Synchronization Using Dense Matching Algorithm.
Proceedings of the Pattern Recognition, 2006

An Effective Stereo Matching Algorithm with Optimal Path Cost Aggregation.
Proceedings of the Pattern Recognition, 2006

2005
Motion Estimation Based on Hidden Segmentation.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2005

A Robust Matching Algorithm Based on Global Motion Smoothness Criterion.
Proceedings of the Progress in Pattern Recognition, 2005

Automatic Removal of Impulse Noise from Highly Corrupted Images.
Proceedings of the Progress in Pattern Recognition, 2005

2003
Noise Removal from Highly Corrupted Color Images with Adaptive Neighborhoods.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2003

Spatially Adaptive Algorithm for Impulse Noise Removal from Color Images.
Proceedings of the Progress in Pattern Recognition, 2003

2002
Motion estimation with a dynamic programming optimization operator.
Proceedings of the 2002 International Conference on Image Processing, 2002

2000
Improved Motion Stereo Matching Based on a Modified Dynamic Programming.
Proceedings of the 2000 Conference on Computer Vision and Pattern Recognition (CVPR 2000), 2000


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