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20242026
most citedExploring the Synergies of Hybrid CNNs and ViTs Architectures for Computer Vision: A survey

60 citations · 63 across the 12 of their papers we have counts for

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Showing 2024Show all

8 papers · 1 filter

cs.HC2024

Detecting Dark Patterns in User Interfaces Using Logistic Regression and Bag-of-Words Representation

Aliyu Umar, Maaruf Lawan, Adamu Lawan +2

Dark patterns in user interfaces represent deceptive design practices intended to manipulate users' behavior, often leading to unintended consequences such as coerced purchases, in…

cs.CV2024

KonvLiNA: Integrating Kolmogorov-Arnold Network with Linear Nyström Attention for feature fusion in Crop Field Detection

Haruna Yunusa, Qin Shiyin, Adamu Lawan +1

Crop field detection is a critical component of precision agriculture, essential for optimizing resource allocation and enhancing agricultural productivity. This study introduces K…

cs.CL2024★ 1 cited

DualKanbaFormer: An Efficient Selective Sparse Framework for Multimodal Aspect-based Sentiment Analysis

Adamu Lawan, Juhua Pu, Haruna Yunusa +4

Multimodal Aspect-based Sentiment Analysis (MABSA) enhances sentiment detection by integrating textual data with complementary modalities, such as images, to provide a more refined…

cs.CL2024

Enhancing Long-Range Dependency with State Space Model and Kolmogorov-Arnold Networks for Aspect-Based Sentiment Analysis

Adamu Lawan, Juhua Pu, Haruna Yunusa +2

Aspect-based Sentiment Analysis (ABSA) evaluates sentiments toward specific aspects of entities within the text. However, attention mechanisms and neural network models struggle wi…

cs.CV2024★ 1 cited

iiANET: Inception Inspired Attention Hybrid Network for efficient Long-Range Dependency

Haruna Yunusa, Adamu Lawan, Abdulganiyu Abdu Yusuf

The recent emergence of hybrid models has introduced a transformative approach to computer vision, gradually moving beyond conventional convolutional neural networks and vision tra…

cs.CL2024★ 1 cited

Amplifying Aspect-Sentence Awareness: A Novel Approach for Aspect-Based Sentiment Analysis

Adamu Lawan, Juhua Pu, Haruna Yunusa +2

Aspect-Based Sentiment Analysis (ABSA) is increasingly crucial in Natural Language Processing (NLP) for applications such as customer feedback analysis and product recommendation s…