80 citations · 228 across the 103 of their papers we have counts for
33 papers · 1 filter
How Can LLMs and Knowledge Graphs Contribute to Robot Safety? A Few-Shot Learning Approach
Abdulrahman Althobaiti, Angel Ayala, JingYing Gao +4
Large Language Models (LLMs) are transforming the robotics domain by enabling robots to comprehend and execute natural language instructions. The cornerstone benefits of LLM includ…
Biological Brain Age Estimation using Sex-Aware Adversarial Variational Autoencoder with Multimodal Neuroimages
Abd Ur Rehman, Azka Rehman, Muhammad Usman +5
Brain aging involves structural and functional changes and therefore serves as a key biomarker for brain health. Combining structural magnetic resonance imaging (sMRI) and function…
ByteScience: Bridging Unstructured Scientific Literature and Structured Data with Auto Fine-tuned Large Language Model in Token Granularity
Tong Xie, Hanzhi Zhang, Shaozhou Wang +5
Natural Language Processing (NLP) is widely used to supply summarization ability from long context to structured information. However, extracting structured knowledge from scientif…
GAMED: Knowledge Adaptive Multi-Experts Decoupling for Multimodal Fake News Detection
Lingzhi Shen, Yunfei Long, Xiaohao Cai +4
Multimodal fake news detection often involves modelling heterogeneous data sources, such as vision and language. Existing detection methods typically rely on fusion effectiveness a…
MERCI: Multimodal Emotional and peRsonal Conversational Interactions Dataset
Mohammed Althubyani, Zhijin Meng, Shengyuan Xie +5
The integration of conversational agents into our daily lives has become increasingly common, yet many of these agents cannot engage in deep interactions with humans. Despite this,…
BiTSA: Leveraging Time Series Foundation Model for Building Energy Analytics
Xiachong Lin, Arian Prabowo, Imran Razzak +4
Incorporating AI technologies into digital infrastructure offers transformative potential for energy management, particularly in enhancing energy efficiency and supporting net-zero…
Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging
Muhammad Usman, Azka Rehman, Abdullah Shahid +5
Despite advances in deep learning for estimating brain age from structural MRI data, incorporating functional MRI data is challenging due to its complex structure and the noisy nat…
SMILE-UHURA Challenge -- Small Vessel Segmentation at Mesoscopic Scale from Ultra-High Resolution 7T Magnetic Resonance Angiograms
Soumick Chatterjee, Hendrik Mattern, Marc Dörner +45
The human brain receives nutrients and oxygen through an intricate network of blood vessels. Pathology affecting small vessels, at the mesoscopic scale, represents a critical vulne…
SimpsonsVQA: Enhancing Inquiry-Based Learning with a Tailored Dataset
Ngoc Dung Huynh, Mohamed Reda Bouadjenek, Sunil Aryal +2
Visual Question Answering (VQA) has emerged as a promising area of research to develop AI-based systems for enabling interactive and immersive learning. Numerous VQA datasets have…
Exploring Capabilities of Time Series Foundation Models in Building Analytics
Xiachong Lin, Arian Prabowo, Imran Razzak +4
The growing integration of digitized infrastructure with Internet of Things (IoT) networks has transformed the management and optimization of building energy consumption. By levera…
Better to Ask in English: Evaluation of Large Language Models on English, Low-resource and Cross-Lingual Settings
Krishno Dey, Prerona Tarannum, Md. Arid Hasan +2
Large Language Models (LLMs) are trained on massive amounts of data, enabling their application across diverse domains and tasks. Despite their remarkable performance, most LLMs ar…
Adenocarcinoma Segmentation Using Pre-trained Swin-UNet with Parallel Cross-Attention for Multi-Domain Imaging
Abdul Qayyum, Moona Mazher Imran Razzak, Steven A Niederer
Computer aided pathological analysis has been the gold standard for tumor diagnosis, however domain shift is a significant problem in histopathology. It may be caused by variabilit…
Latent fingerprint enhancement for accurate minutiae detection
Abdul Wahab, Tariq Mahmood Khan, Shahzaib Iqbal +3
Identification of suspects based on partial and smudged fingerprints, commonly referred to as fingermarks or latent fingerprints, presents a significant challenge in the field of f…
LSSF-Net: Lightweight Segmentation with Self-Awareness, Spatial Attention, and Focal Modulation
Hamza Farooq, Zuhair Zafar, Ahsan Saadat +3
Accurate segmentation of skin lesions within dermoscopic images plays a crucial role in the timely identification of skin cancer for computer-aided diagnosis on mobile platforms. H…
PitVis-2023 Challenge: Workflow Recognition in videos of Endoscopic Pituitary Surgery
Adrito Das, Danyal Z. Khan, Dimitrios Psychogyios +29
The field of computer vision applied to videos of minimally invasive surgery is ever-growing. Workflow recognition pertains to the automated recognition of various aspects of a sur…
EUIS-Net: A Convolutional Neural Network for Efficient Ultrasound Image Segmentation
Shahzaib Iqbal, Hasnat Ahmed, Muhammad Sharif +3
Segmenting ultrasound images is critical for various medical applications, but it offers significant challenges due to ultrasound images' inherent noise and unpredictability. To ad…
TESL-Net: A Transformer-Enhanced CNN for Accurate Skin Lesion Segmentation
Shahzaib Iqbal, Muhammad Zeeshan, Mehwish Mehmood +2
Early detection of skin cancer relies on precise segmentation of dermoscopic images of skin lesions. However, this task is challenging due to the irregular shape of the lesion, the…
A Robust Algorithm for Contactless Fingerprint Enhancement and Matching
Mahrukh Siddiqui, Shahzaib Iqbal, Bandar AlShammari +3
Compared to contact fingerprint images, contactless fingerprint images exhibit four distinct characteristics: (1) they contain less noise; (2) they have fewer discontinuities in ri…
Do Large Language Models Speak All Languages Equally? A Comparative Study in Low-Resource Settings
Md. Arid Hasan, Prerona Tarannum, Krishno Dey +2
Large language models (LLMs) have garnered significant interest in natural language processing (NLP), particularly their remarkable performance in various downstream tasks in resou…
Discriminating retinal microvascular and neuronal differences related to migraines: Deep Learning based Crossectional Study
Feilong Tang, Matt Trinh, Annita Duong +5
Migraine, a prevalent neurological disorder, has been associated with various ocular manifestations suggestive of neuronal and microvascular deficits. However, there is limited und…
NarrationDep: Narratives on Social Media For Automatic Depression Detection
Hamad Zogan, Imran Razzak, Shoaib Jameel +1
Social media posts provide valuable insight into the narrative of users and their intentions, including providing an opportunity to automatically model whether a social media user…
Vulnerability Detection in Smart Contracts: A Comprehensive Survey
Christopher De Baets, Basem Suleiman, Armin Chitizadeh +1
In the growing field of blockchain technology, smart contracts exist as transformative digital agreements that execute transactions autonomously in decentralised networks. However,…
LMBF-Net: A Lightweight Multipath Bidirectional Focal Attention Network for Multifeatures Segmentation
Tariq M Khan, Shahzaib Iqbal, Syed S. Naqvi +2
Retinal diseases can cause irreversible vision loss in both eyes if not diagnosed and treated early. Since retinal diseases are so complicated, retinal imaging is likely to show tw…
Region Guided Attention Network for Retinal Vessel Segmentation
Syed Javed, Tariq M. Khan, Abdul Qayyum +2
Retinal imaging has emerged as a promising method of addressing this challenge, taking advantage of the unique structure of the retina. The retina is an embryonic extension of the…