30 citations · 42 across the 15 of their papers we have counts for
15 papers
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…
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…
Reconstructing Deep Neural Networks: Unleashing the Optimization Potential of Natural Gradient Descent
Weihua Liu, Said Boumaraf, Jianwu Li +4
Natural gradient descent (NGD) is a powerful optimization technique for machine learning, but the computational complexity of the inverse Fisher information matrix limits its appli…
BENet: A Cross-domain Robust Network for Detecting Face Forgeries via Bias Expansion and Latent-space Attention
Weihua Liu, Jianhua Qiu, Said Boumaraf +5
In response to the growing threat of deepfake technology, we introduce BENet, a Cross-Domain Robust Bias Expansion Network. BENet enhances the detection of fake faces by addressing…