27 citations · 28 across the 5 of their papers we have counts for
5 papers
How Merge-Tolerant Are Vision Transformers for Wheat Phenotyping?
Simon Ravé, Pejman Rasti, David Rousseau
Vision-based wheat phenotyping requires repeated measurements under deployment constraints, from growth-stage recognition to wheat-head counting and organ segmentation. Plain Visio…
MPM: Mutual Pair Merging for Efficient Vision Transformers
Simon Ravé, Pejman Rasti, David Rousseau
Decreasing sequence length is a common way to accelerate transformers, but prior token reduction work often targets classification and reports proxy metrics rather than end-to-end…
Unlocking Zero-Shot Plant Segmentation with Pl@ntNet Intelligence
Simon Ravé, Jean-Christophe Lombardo, Pejman Rasti +2
We present a zero-shot segmentation approach for agricultural imagery that leverages Plantnet, a large-scale plant classification model, in conjunction with its DinoV2 backbone and…
Toward more frugal models for functional cerebral networks automatic recognition with resting-state fMRI
Lukman Ismaila, Pejman Rasti, Jean-Michel Lemée +1
We refer to a machine learning situation where models based on classical convolutional neural networks have shown good performance. We are investigating different encoding techniqu…
Image Resolution Enhancement by Using Interpolation Followed by Iterative Back Projection
Pejman Rasti, Hasan Demirel, Gholamreza Anbarjafari
In this paper, we propose a new super resolution technique based on the interpolation followed by registering them using iterative back projection (IBP). Low resolution images are…