Search Results for author: Wassim Bouachir

Found 15 papers, 8 papers with code

1D-Convolutional transformer for Parkinson disease diagnosis from gait

1 code implementation6 Nov 2023 Safwen Naimi, Wassim Bouachir, Guillaume-Alexandre Bilodeau

Our experimental results show that our approach is effective for detecting the different stages of Parkinson's disease from gait data, with a final accuracy of 88%, outperforming other state-of-the-art AI methods on the Physionet gait dataset.

Automatic counting of planting microsites via local visual detection and global count estimation

no code implementations1 Nov 2023 Ahmed Zgaren, Wassim Bouachir, Nizar Bouguila

One of the main problems when planning planting operations is the difficulty in estimating the number of mounds present on a planting block, as their number may greatly vary depending on site characteristics.

Automating lichen monitoring in ecological studies using instance segmentation of time-lapse images

no code implementations26 Oct 2023 Safwen Naimi, Olfa Koubaa, Wassim Bouachir, Guillaume-Alexandre Bilodeau, Gregory Jeddore, Patricia Baines, David Correia, Andre Arsenault

These cameras are used by ecologists in Newfoundland and Labrador to subsequently analyze and manually segment the images to determine lichen thalli condition and change.

Instance Segmentation Semantic Segmentation

HCT: Hybrid Convnet-Transformer for Parkinson's disease detection and severity prediction from gait

1 code implementation26 Oct 2023 Safwen Naimi, Wassim Bouachir, Guillaume-Alexandre Bilodeau

Our hybrid architecture exploits the strengths of both Convolutional Neural Networks (ConvNets) and Transformers to accurately detect PD and determine the severity stage.

severity prediction

VisiTherS: Visible-thermal infrared stereo disparity estimation of human silhouette

1 code implementation22 Apr 2023 Noreen Anwar, Philippe Duplessis-Guindon, Guillaume-Alexandre Bilodeau, Wassim Bouachir

To address the aforementioned challenges, this paper proposes a novel approach where a high-resolution convolutional neural network is used to better capture relationships between the two spectra.

Disparity Estimation Stereo Disparity Estimation

Automatic counting of mounds on UAV images: combining instance segmentation and patch-level correction

no code implementations6 Sep 2022 Majid Nikougoftar Nategh, Ahmed Zgaren, Wassim Bouachir, Nizar Bouguila

Counting the number of mounds is generally conducted through manual field surveys by forestry workers, which is costly and prone to errors, especially for large areas.

Instance Segmentation object-detection +2

Multiple Convolutional Features in Siamese Networks for Object Tracking

1 code implementation1 Mar 2021 Zhenxi Li, Guillaume-Alexandre Bilodeau, Wassim Bouachir

Siamese trackers demonstrated high performance in object tracking due to their balance between accuracy and speed.

Object Tracking

MFST: Multi-Features Siamese Tracker

1 code implementation1 Mar 2021 Zhenxi Li, Guillaume-Alexandre Bilodeau, Wassim Bouachir

Based on this advanced feature representation, our algorithm achieves high tracking accuracy, while outperforming several state-of-the-art trackers, including standard Siamese trackers.

Coarse-to-Fine Object Tracking Using Deep Features and Correlation Filters

1 code implementation23 Dec 2020 Ahmed Zgaren, Wassim Bouachir, Riadh Ksantini

Motivated by this observation, and by the fact that discriminative correlation filters(DCFs) may provide a complimentary low-level information, we presenta novel tracking algorithm taking advantage of both approaches.

Image Classification Object Tracking

Multi-Branch Siamese Networks with Online Selection for Object Tracking

no code implementations22 Aug 2018 Zhenxi Li, Guillaume-Alexandre Bilodeau, Wassim Bouachir

In this paper, we propose a robust object tracking algorithm based on a branch selection mechanism to choose the most efficient object representations from multi-branch siamese networks.

Object Tracking

Reproducible Evaluation of Pan-Tilt-Zoom Tracking

no code implementations18 May 2015 Gengjie Chen, Pierre-Luc St-Charles, Wassim Bouachir, Thomas Joeisseint, Guillaume-Alexandre Bilodeau, Robert Bergevin

Tracking with a Pan-Tilt-Zoom (PTZ) camera has been a research topic in computer vision for many years.

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