Johan Barthélemy

Drone hyperspectral imaging and artificial intelligence for monitoring moss and lichen in Antarctica

Vox-UDA: Voxel-wise Unsupervised Domain Adaptation for Cryo-Electron Subtomogram Segmentation with Denoised Pseudo-Labeling

MVGFormer: Multi-view perspective with graph-guided transformer for cryo-ET segmentation

Detection and mapping of Antarctic lichen using drones, multispectral cameras, and supervised deep learning

Enhancing Radiology Report Generation via Multi-Phased Supervision

Smart Video Analytics Solution to Identify Urban Floodborne Objects

Defensive Dual Masking for Robust Adversarial Defense

Monitoring of Antarctica’s Fragile Vegetation Using Drone-Based Remote Sensing, Multispectral Imagery and AI

Identifying Re-identification Challenges: Past, Current and Future Trends

Paying Attention to Vehicles: A Systematic Review on Transformer-Based Vehicle Re-Identification

Understanding the relationship between surfing performance and fin design

An End-to-End Artificial Intelligence of Things (AIoT) Solution for Protecting Pipeline Easements against External Interference—An Australian Use-Case

Safety After Dark: A Privacy Compliant and Real-Time Edge Computing Intelligent Video Analytics for Safer Public Transportation

Drones for Flood Monitoring, Mapping and Detection: A Bibliometric Review

The last two decades of computer vision technologies in water resource management: A bibliometric analysis

A Green Fingerprint of Antarctica: Drones, Hyperspectral Imaging, and Machine Learning for Moss and Lichen Classification

Artificial Intelligence of Things (AIoT)-oriented framework for blockage assessment at cross-drainage hydraulic structures

The Role of Deep Learning Models in the Detection of Anti-Social Behaviours towards Women in Public Transport from Surveillance Videos: A Scoping Review

Visual blockage assessment at culverts using synthetic images to mitigate blockage-originated floods

[MASK] Insertion: a robust method for anti-adversarial attacks

Prediction of hydraulic blockage at culverts from a single image using deep learning

Edge-Computing Video Analytics Solution for Automated Plastic-Bag Contamination Detection: A Case from Remondis

Floodborne Objects Type Recognition Using Computer Vision to Mitigate Blockage Originated Floods

Prediction of Hydraulic Blockage at Culverts using Lab Scale Simulated Hydraulic Data

Quantification of visual blockage at culverts using deep learning based computer vision models

V2ReID: Vision-Outlooker-Based Vehicle Re-Identification

Emerging role of unmanned aerial vehicles (UAVs) for disaster management applications

How computer vision can facilitate flood management: A systematic review

Urban Vehicle Localization in Public LoRaWan Network

Autonomous Lidar-Based Monitoring of Coastal Lagoon Entrances