activity
20162022
most citedHands-on Bayesian Neural Networks -- a Tutorial for Deep Learning Users

891 citations · 1.8k across the 14 of their papers we have counts for

collaborators

15 papers

cs.CV2022

Bayesian Learning for Disparity Map Refinement for Semi-Dense Active Stereo Vision

Laurent Valentin Jospin, Hamid Laga, Farid Boussaid +1

A major focus of recent developments in stereo vision has been on how to obtain accurate dense disparity maps in passive stereo vision. Active vision systems enable more accurate e…

cs.CV2021

Generalized Closed-form Formulae for Feature-based Subpixel Alignment in Patch-based Matching

Laurent Valentin Jospin, Farid Boussaid, Hamid Laga +1

Cost-based image patch matching is at the core of various techniques in computer vision, photogrammetry and remote sensing. When the subpixel disparity between the reference patch…

cs.CV2021

Learnable Triangulation for Deep Learning-based 3D Reconstruction of Objects of Arbitrary Topology from Single RGB Images

Tarek Ben Charrada, Hedi Tabia, Aladine Chetouani +1

We propose a novel deep reinforcement learning-based approach for 3D object reconstruction from monocular images. Prior works that use mesh representations are template based. Thus…

cs.CV2021

A Survey of Deep Learning Techniques for Weed Detection from Images

A S M Mahmudul Hasan, Ferdous Sohel, Dean Diepeveen +2

The rapid advances in Deep Learning (DL) techniques have enabled rapid detection, localisation, and recognition of objects from images or videos. DL techniques are now being used i…

eess.IV2020★ 2 cited

RCNN for Region of Interest Detection in Whole Slide Images

A Nugaliyadde, Kok Wai Wong, Jeremy Parry +5

Digital pathology has attracted significant attention in recent years. Analysis of Whole Slide Images (WSIs) is challenging because they are very large, i.e., of Giga-pixel resolut…

cs.LG2020★ 891 cited

Hands-on Bayesian Neural Networks -- a Tutorial for Deep Learning Users

Laurent Valentin Jospin, Wray Buntine, Farid Boussaid +2

Modern deep learning methods constitute incredibly powerful tools to tackle a myriad of challenging problems. However, since deep learning methods operate as black boxes, the uncer…

cs.CV2020★ 346 cited

A Survey on Deep Learning Techniques for Stereo-based Depth Estimation

Hamid Laga, Laurent Valentin Jospin, Farid Boussaid +1

Estimating depth from RGB images is a long-standing ill-posed problem, which has been explored for decades by the computer vision, graphics, and machine learning communities. Among…

math.DG2019

Shape Analysis of Surfaces Using General Elastic Metrics

Zhe Su, Martin Bauer, Stephen C. Preston +2

In this article we introduce a family of elastic metrics on the space of parametrized surfaces in 3D space using a corresponding family of metrics on the space of vector valued one…

cs.CV2019★ 1 cited

RGB-D image-based Object Detection: from Traditional Methods to Deep Learning Techniques

Isaac Ronald Ward, Hamid Laga, Mohammed Bennamoun

Object detection from RGB images is a long-standing problem in image processing and computer vision. It has applications in various domains including robotics, surveillance, human-…

cs.CV2019★ 25 cited

A Survey on Deep Learning Architectures for Image-based Depth Reconstruction

Hamid Laga

Estimating depth from RGB images is a long-standing ill-posed problem, which has been explored for decades by the computer vision, graphics, and machine learning communities. In th…

cs.CV2019★ 441 cited

Image-based 3D Object Reconstruction: State-of-the-Art and Trends in the Deep Learning Era

Xian-Feng Han, Hamid Laga, Mohammed Bennamoun

3D reconstruction is a longstanding ill-posed problem, which has been explored for decades by the computer vision, computer graphics, and machine learning communities. Since 2015,…

cs.GR2019★ 18 cited

Statistical Analysis and Modeling of the Geometry and Topology of Plant Roots

Guan Wang, Hamid Laga, Jinyuan Jia +2

The root is an important organ of a plant since it is responsible for water and nutrient uptake. Analyzing and modelling variabilities in the geometry and topology of roots can hel…

cs.GR2018★ 3 cited

A Survey on Non-rigid 3D Shape Analysis

Hamid Laga

Shape is an important physical property of natural and manmade 3D objects that characterizes their external appearances. Understanding differences between shapes and modeling the v…

cs.CV2018★ 12 cited

A Comprehensive Survey of Deep Learning for Image Captioning

Md. Zakir Hossain, Ferdous Sohel, Mohd Fairuz Shiratuddin +1

Generating a description of an image is called image captioning. Image captioning requires to recognize the important objects, their attributes and their relationships in an image.…

cs.GR2016★ 53 cited

Numerical Inversion of SRNF Maps for Elastic Shape Analysis of Genus-Zero Surfaces

Hamid Laga, Qian Xie, Ian H. Jermyn +1

Recent developments in elastic shape analysis (ESA) are motivated by the fact that it provides comprehensive frameworks for simultaneous registration, deformation, and comparison o…