11 papers
DERA: Detached Edge-Residual Adaptation for Prohibited item Detection
Yonathan Michael, Mohamad Alansari, Mohammed Bennamoun +3
Prohibited-item detection in X-ray imagery remains challenging due to object superposition, weak texture, and material clutter which obscure both semantic appearance and object bou…
CheXGround: Anatomical Region Tokens for Grounded Longitudinal Chest X-ray Interpretation
Adonay Demewez Gebremedhin, Wessam Shehieb, Sara Alansari +4
Recent radiology multi-modal language models have made substantial progress in chest X-ray report generation, visual question answering, and temporal reasoning. While longitudinal…
Falcon: Functional Assembly and Language for Compositional Reasoning in X-ray
Yonathan Michael, Mohamad Alansari, Natnael Takele +2
Conventional vision-language models are largely object-centric, focusing on detecting and describing individual entities. In safety-critical X-ray baggage screening, however, threa…
SENTRY: SAM2-Enhanced Neighbor-Aware and Temporally Reasoned Memory for Visual Tracking
Mohamad Alansari, Yonathan Michael, Hasan AlMarzouqi +3
We revisit the memory update mechanism in SAM2-based visual object tracking and identify confidence-only mask selection as the dominant cause of drift under occlusion, rapid motion…
SPARROW: Learning Spatial Precision and Temporal Referential Consistency in Pixel-Grounded Video MLLMs
Mohamad Alansari, Naufal Suryanto, Divya Velayudhan +3
Multimodal large language models (MLLMs) have advanced from image-level reasoning to pixel-level grounding, but extending these capabilities to videos remains challenging as models…
MUOT_3M: A 3 Million Frame Multimodal Underwater Benchmark and the MUTrack Tracking Method
Ahsan Baidar Bakht, Mohamad Alansari, Muhayy Ud Din +5
Underwater Object Tracking (UOT) is crucial for efficient marine robotics, large scale ecological monitoring, and ocean exploration; however, progress has been hindered by the scar…
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…
CLDTracker: A Comprehensive Language Description for Visual Tracking
Mohamad Alansari, Sajid Javed, Iyyakutti Iyappan Ganapathi +2
VOT remains a fundamental yet challenging task in computer vision due to dynamic appearance changes, occlusions, and background clutter. Traditional trackers, relying primarily on…
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…
EFaR 2023: Efficient Face Recognition Competition
Jan Niklas Kolf, Fadi Boutros, Jurek Elliesen +24
This paper presents the summary of the Efficient Face Recognition Competition (EFaR) held at the 2023 International Joint Conference on Biometrics (IJCB 2023). The competition rece…