45 citations · 70 across the 5 of their papers we have counts for
6 papers
Using Socio-economic Indicators, Smart Transit Systems, and Urban Simulator to Accelerate ZEV Adoption and Reduce VMT
Mulham Fawakherji, Bruce Race, Driss Benhaddou
Globally, on-road transportation accounts for 15% of greenhouse gas (GHG) emissions and an estimated 385,000 premature deaths from PM2.5. Cities play a critical role in meeting IPC…
Shape and Style GAN-based Multispectral Data Augmentation for Crop/Weed Segmentation in Precision Farming
Mulham Fawakherji, Vincenzo Suriani, Daniele Nardi +1
The use of deep learning methods for precision farming is gaining increasing interest. However, collecting training data in this application field is particularly challenging and c…
M18K: A Comprehensive RGB-D Dataset and Benchmark for Mushroom Detection and Instance Segmentation
Abdollah Zakeri, Mulham Fawakherji, Jiming Kang +5
Automating agricultural processes holds significant promise for enhancing efficiency and sustainability in various farming practices. This paper contributes to the automation of ag…
TextAug: Test time Text Augmentation for Multimodal Person Re-identification
Mulham Fawakherji, Eduard Vazquez, Pasquale Giampa +1
Multimodal Person Reidentification is gaining popularity in the research community due to its effectiveness compared to counter-part unimodal frameworks. However, the bottleneck fo…
Weakly and Semi-Supervised Detection, Segmentation and Tracking of Table Grapes with Limited and Noisy Data
Thomas A. Ciarfuglia, Ionut M. Motoi, Leonardo Saraceni +3
Detection, segmentation and tracking of fruits and vegetables are three fundamental tasks for precision agriculture, enabling robotic harvesting and yield estimation applications.…
Multi-Spectral Image Synthesis for Crop/Weed Segmentation in Precision Farming
Mulham Fawakherji, Ciro Potena, Alberto Pretto +2
An effective perception system is a fundamental component for farming robots, as it enables them to properly perceive the surrounding environment and to carry out targeted operatio…