Amir Ghahremani

Visual object tracking using Kalman filter, mean shift algorithm and spatiotemporal oriented energy features

Amir Ghahremani, Amir Mousavinia, 2014, 2014 4th International Conference on Computer and Knowledge Engineering (ICCKE).

An efficient adaptive energy model based predictive Motion Estimation algorithm for video coding

Amir Ghahremani, Amir Mousavinia, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

Towards multi-class detection: a self-learning approach to reduce inter-class noise from training dataset

Peter H. N. de With, Amir Ghahremani, Egor Bondarev, 2019, International Conference on Machine Vision.

Kalman filter based motion estimation algorithm using energy model

Amir Ghahremani, Amir Mousavinia, 2015, 2015 23rd Iranian Conference on Electrical Engineering.

Re-identification of Vessels with Convolutional Neural Networks

Peter H. N. de With, Amir Ghahremani, Egor Bondarev, 2019, Proceedings of the 2019 5th International Conference on Computer and Technology Applications.

Towards Parameter-Optimized Vessel Re-identification Based on IORnet

Peter H. N. de With, Amir Ghahremani, Egor Bondarev, 2019, ICCS.

Multi-Class Recognition using Noisy Training Data with a Self-Learning Approach

Peter H. N. de With, Amir Ghahremani, Egor Bondarev, 2018, 2018 Digital Image Computing: Techniques and Applications (DICTA).

Cascaded CNN Method for Far Object Detection in Outdoor Surveillance

Peter H. N. de With, Amir Ghahremani, Egor Bondarev, 2018, 2018 14th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS).

A novel energy model based predictive motion estimation algorithm

Amir Ghahremani, Amir Mousavinia, 2014, 2014 22nd Iranian Conference on Electrical Engineering (ICEE).

Water Region Extraction in Thermal and RGB Sequences Using Spatiotemporally-Oriented Energy Features

Peter H. N. de With, Amir Ghahremani, Egor Bondarev, 2017, Image Processing: Algorithms and Systems.

Maritime vessel re-identification: novel VR-VCA dataset and a multi-branch architecture MVR-net

Peter H. N. de With, Amir Ghahremani, Egor Bondarev, 2021, Machine Vision and Applications.