output
20082026
most citedVine disease detection in UAV multispectral images with deep learning segmentation approach

315 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing cs.CVShow all

6 papers · 1 filter

cs.CV2026

What They Saw, Not Just Where They Looked: Semantic Scanpath Similarity via VLMs and NLP metric

Mohamed Amine Kerkouri, Marouane Tliba, Bin Wang +3

Scanpath similarity metrics are central to eye-movement research, yet existing methods predominantly evaluate spatial and temporal alignment while neglecting semantic equivalence b…

cs.CV2022★ 19 cited

Fusion of Satellite Images and Weather Data with Transformer Networks for Downy Mildew Disease Detection

William Maillet, Maryam Ouhami, Adel Hafiane

Crop diseases significantly affect the quantity and quality of agricultural production. In a context where the goal of precision agriculture is to minimize or even avoid the use of…

cs.CV2022★ 7 cited

Generative models-based data labeling for deep networks regression: application to seed maturity estimation from UAV multispectral images

Eric Dericquebourg, Adel Hafiane, Raphael Canals

Monitoring seed maturity is an increasing challenge in agriculture due to climate change and more restrictive practices. Seeds monitoring in the field is essential to optimize the…

cs.CV2021★ 233 cited

Vision Transformers For Weeds and Crops Classification Of High Resolution UAV Images

Reenul Reedha, Eric Dericquebourg, Raphael Canals +1

Crop and weed monitoring is an important challenge for agriculture and food production nowadays. Thanks to recent advances in data acquisition and computation technologies, agricul…

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.CV2018★ 44 cited

Robust Adaptive Median Binary Pattern for noisy texture classification and retrieval

Mohammad Alkhatib, Adel Hafiane

Texture is an important cue for different computer vision tasks and applications. Local Binary Pattern (LBP) is considered one of the best yet efficient texture descriptors. Howeve…