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20182025
most citedVision Transformers in Precision Agriculture: A Comprehensive Survey

22 citations · 51 across the 6 of their papers we have counts for

collaborators

9 papers

cs.CV2025★ 22 cited

Vision Transformers in Precision Agriculture: A Comprehensive Survey

Saber Mehdipour, Seyed Abolghasem Mirroshandel, Seyed Amirhossein Tabatabaei

Detecting plant diseases is a crucial aspect of modern agriculture, as it plays a key role in maintaining crop health and increasing overall yield. Traditional approaches, though s…

cs.CL2024

The Impact of Quantization on the Robustness of Transformer-based Text Classifiers

Seyed Parsa Neshaei, Yasaman Boreshban, Gholamreza Ghassem-Sani +1

Transformer-based models have made remarkable advancements in various NLP areas. Nevertheless, these models often exhibit vulnerabilities when confronted with adversarial attacks.…

cs.CL2023

Finding Common Ground: Annotating and Predicting Common Ground in Spoken Conversations

Magdalena Markowska, Mohammad Taghizadeh, Adil Soubki +2

When we communicate with other humans, we do not simply generate a sequence of words. Rather, we use our cognitive state (beliefs, desires, intentions) and our model of the audienc…

cs.CL2021

Improving Question Answering Performance Using Knowledge Distillation and Active Learning

Yasaman Boreshban, Seyed Morteza Mirbostani, Gholamreza Ghassem-Sani +2

Contemporary question answering (QA) systems, including transformer-based architectures, suffer from increasing computational and model complexity which render them inefficient for…

cs.CL2021

Prose2Poem: The Blessing of Transformers in Translating Prose to Persian Poetry

Reza Khanmohammadi, Mitra Sadat Mirshafiee, Yazdan Rezaee Jouryabi +1

Persian Poetry has consistently expressed its philosophy, wisdom, speech, and rationale on the basis of its couplets, making it an enigmatic language on its own to both native and…

cs.CL2020★ 19 cited

DeepSentiPers: Novel Deep Learning Models Trained Over Proposed Augmented Persian Sentiment Corpus

Javad PourMostafa Roshan Sharami, Parsa Abbasi Sarabestani, Seyed Abolghasem Mirroshandel

This paper focuses on how to extract opinions over each Persian sentence-level text. Deep learning models provided a new way to boost the quality of the output. However, these arch…