53 citations · 196 across the 19 of their papers we have counts for
20 papers
Video-based Surgical Skill Assessment using Tree-based Gaussian Process Classifier
Arefeh Rezaei, Mohammad Javad Ahmadi, Amir Molaei +1
This paper aims to present a novel pipeline for automated surgical skill assessment using video data and to showcase the effectiveness of the proposed approach in evaluating surgeo…
Action Capsules: Human Skeleton Action Recognition
Ali Farajzadeh Bavil, Hamed Damirchi, Hamid D. Taghirad
Due to the compact and rich high-level representations offered, skeleton-based human action recognition has recently become a highly active research topic. Previous studies have de…
A Segment-Wise Gaussian Process-Based Ground Segmentation With Local Smoothness Estimation
Pouria Mehrabi, Hamid D. Taghirad
Both in terrestrial and extraterrestrial environments, the precise and informative model of the ground and the surface ahead is crucial for navigation and obstacle avoidance. The g…
Online Probabilistic Model Identification using Adaptive Recursive MCMC
Pedram Agand, Mo Chen, Hamid D. Taghirad
Although the Bayesian paradigm offers a formal framework for estimating the entire probability distribution over uncertain parameters, its online implementation can be challenging…
Reformulation of Matching Equation in Potential Energy Shaping
M. Reza J. Harandi, Hamid D. Taghirad
Stabilization of an underactuated mechanical system may be accomplished by energy shaping. Interconnection and damping assignment passivity-based control is an approach based on to…
A convergence condition for Newton-Raphson method
Hassan Khandani
In this paper we study the convergence of Newton-Raphson method. For this method there exists some convergence results which are practically not very useful and just guarantee the…
A Gaussian Process-Based Ground Segmentation for Sloped Terrains
Pouria Mehrabi, Hamid D. Taghirad
A Gaussian Process GP based ground segmentation method is proposed in this paper which is fully developed in a probabilistic framework. The proposed method tends to obtain a contin…
Dynamic Models of Spherical Parallel Robots for Model-Based Control Schemes
Ali Hassani, Abbas Bataleblu, S. A. Khalilpour +2
In this paper, derivation of different forms of dynamic formulation of spherical parallel robots (SPRs) is investigated. These formulations include the explicit dynamic forms, line…
A Consistency-Based Loss for Deep Odometry Through Uncertainty Propagation
Hamed Damirchi, Rooholla Khorrambakht, Hamid D. Taghirad +1
The incremental poses computed through odometry can be integrated over time to calculate the pose of a device with respect to an initial location. The resulting global pose may be…
Bounded Inputs Total Energy Shaping for Mechanical Systems
M. Reza J. Harandi, Amir Molaei, Hamid D. Taghirad +1
Designing control systems with bounded input is a practical consideration since realizable physical systems are limited by the saturation of actuators. The actuators' saturation de…
Single Object Tracking through a Fast and Effective Single-Multiple Model Convolutional Neural Network
Faraz Lotfi, Hamid D. Taghirad
Object tracking becomes critical especially when similar objects are present in the same area. Recent state-of-the-art (SOTA) approaches are proposed based on taking a matching net…
A Framework for 3D Tracking of Frontal Dynamic Objects in Autonomous Cars
Faraz Lotfi, Hamid D. Taghirad
Both recognition and 3D tracking of frontal dynamic objects are crucial problems in an autonomous vehicle, while depth estimation as an essential issue becomes a challenging proble…
Object Localization Through a Single Multiple-Model Convolutional Neural Network with a Specific Training Approach
Faraz Lotfi, Farnoosh Faraji, Hamid D. Taghirad
Object localization has a vital role in any object detector, and therefore, has been the focus of attention by many researchers. In this article, a special training approach is pro…
Exploring Self-Attention for Visual Odometry
Hamed Damirchi, Rooholla Khorrambakht, Hamid D. Taghirad
Visual odometry networks commonly use pretrained optical flow networks in order to derive the ego-motion between consecutive frames. The features extracted by these networks repres…
On the Matching Equations of Kinetic Energy Shaping in IDA-PBC
M. Reza J. Harandi, Hamid D. Taghirad
Interconnection and damping assignment passivity-based control scheme has been used to stabilize many physical systems such as underactuated mechanical systems through total energy…
ARC-Net: Activity Recognition Through Capsules
Hamed Damirchi, Rooholla Khorrambakht, Hamid Taghirad
Human Activity Recognition (HAR) is a challenging problem that needs advanced solutions than using handcrafted features to achieve a desirable performance. Deep learning has been p…
IMU Preintegrated Features for Efficient Deep Inertial Odometry
R. Khorrambakht, H. Damirchi, H. D. Taghirad
MEMS Inertial Measurement Units (IMUs) as ubiquitous proprioceptive motion measurement devices are available on various everyday gadgets and robotic platforms. Nevertheless, the di…
Solution of matching equations of IDA-PBC by Pfaffian differential equations
M. Reza J. Harandi, Hamid. D. Taghirad
Finding the general solution of partial differential equations (PDEs) is essential for controller design in newly developed methods. Interconnection and damping assignment passivit…
Adaptive motion control of parallel robots with kinematic and dynamic uncertainties
M. Reza J. Harandi, S. A. Khalilpour, Hamid. D. Taghirad +1
One of the most challenging issues in adaptive control of robot manipulators with kinematic uncertainties is requirement of the inverse of Jacobian matrix in regressor form. This r…
System Identification and -based Control of Quadrotor Attitude
Ali Noormohammadi-Asl, Omid Esrafilian, Mojtaba Ahangar +1
The attitude control of a quadrotor is a fundamental problem, which has a pivotal role in a quadrotor stabilization and control. What makes this problem more challenging is the pre…