62 citations · 204 across the 55 of their papers we have counts for
13 papers · 1 filter
Rethinking Memory Design in SAM-Based Visual Object Tracking
Mohamad Alansari, Muzammal Naseer, Hasan Al Marzouqi +2
\noindent Memory has become the central mechanism enabling robust visual object tracking in modern segmentation-based frameworks. Recent methods built upon Segment Anything Model 2…
Cytoplasmic Strings Analysis in Human Embryo Time-Lapse Videos using Deep Learning Framework
Anabia Sohail, Mohamad Alansari, Ahmed Abughali +8
Infertility is a major global health issue, and while in-vitro fertilization has improved treatment outcomes, embryo selection remains a critical bottleneck. Time-lapse imaging ena…
AdaRD-key: Adaptive Relevance-Diversity Keyframe Sampling for Long-form Video understanding
Xian Zhang, Zexi Wu, Zinuo Li +5
Understanding long-form videos remains a significant challenge for vision--language models (VLMs) due to their extensive temporal length and high information density. Most current…
Privacy-enhancing Sclera Segmentation Benchmarking Competition: SSBC 2025
Matej Vitek, Darian Tomašević, Abhijit Das +32
This paper presents a summary of the 2025 Sclera Segmentation Benchmarking Competition (SSBC), which focused on the development of privacy-preserving sclera-segmentation models tra…
SHREC'25 Track on Multiple Relief Patterns: Report and Analysis
Gabriele Paolini, Claudio Tortorici, Stefano Berretti +10
This SHREC 2025 track focuses on the recognition and segmentation of relief patterns embedded on the surface of a set of synthetically generated triangle meshes. We report the meth…
Towards Accurate State Estimation: Motion Dynamics Kalman Filter for 3D Multi-Object Tracking
Mohamed Nagy, Naoufel Werghi, Bilal Hassan +2
Robust 3D state estimation in multi-object tracking is crucial for object localization in self-driving vehicles. Misalignment between the Kalman filter (KF) motion model and an obj…
Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation
Shahad Albastaki, Anabia Sohail, Iyyakutti Iyappan Ganapathi +6
In Computational Pathology (CPath), the introduction of Vision-Language Models (VLMs) has opened new avenues for research, focusing primarily on aligning image-text pairs at a sing…
DyCON: Dynamic Uncertainty-aware Consistency and Contrastive Learning for Semi-supervised Medical Image Segmentation
Maregu Assefa, Muzammal Naseer, Iyyakutti Iyappan Ganapathi +3
Semi-supervised learning in medical image segmentation leverages unlabeled data to reduce annotation burdens through consistency learning. However, current methods struggle with cl…
STING-BEE: Towards Vision-Language Model for Real-World X-ray Baggage Security Inspection
Divya Velayudhan, Abdelfatah Ahmed, Mohamad Alansari +10
Advancements in Computer-Aided Screening (CAS) systems are essential for improving the detection of security threats in X-ray baggage scans. However, current datasets are limited i…
Trajectory Prediction for Autonomous Driving: Progress, Limitations, and Future Directions
Nadya Abdel Madjid, Abdulrahman Ahmad, Murad Mebrahtu +7
As the potential for autonomous vehicles to be integrated on a large scale into modern traffic systems continues to grow, ensuring safe navigation in dynamic environments is crucia…
AquaticCLIP: A Vision-Language Foundation Model for Underwater Scene Analysis
Basit Alawode, Iyyakutti Iyappan Ganapathi, Sajid Javed +3
The preservation of aquatic biodiversity is critical in mitigating the effects of climate change. Aquatic scene understanding plays a pivotal role in aiding marine scientists in th…
EMT: A Visual Multi-Task Benchmark Dataset for Autonomous Driving
Nadya Abdel Madjid, Murad Mebrahtu, Abdulrahman Ahmad +5
This paper introduces the Emirates Multi-Task (EMT) dataset, designed to support multi-task benchmarking within a unified framework. It comprises over 30,000 frames from a dash-cam…
Multi-Modal Attention Networks for Enhanced Segmentation and Depth Estimation of Subsurface Defects in Pulse Thermography
Mohammed Salah, Naoufel Werghi, Davor Svetinovic +1
AI-driven pulse thermography (PT) has become a crucial tool in non-destructive testing (NDT), enabling automatic detection of hidden anomalies in various industrial components. Cur…