2 citations · 5 across the 12 of their papers we have counts for
7 papers · 1 filter
Classroom-Inspired Multi-Mentor Distillation with Adaptive Learning Strategies
Shalini Sarode, Muhammad Saif Ullah Khan, Tahira Shehzadi +2
We propose ClassroomKD, a novel multi-mentor knowledge distillation framework inspired by classroom environments to enhance knowledge transfer between the student and multiple ment…
Enhanced Bank Check Security: Introducing a Novel Dataset and Transformer-Based Approach for Detection and Verification
Muhammad Saif Ullah Khan, Tahira Shehzadi, Rabeya Noor +2
Automated signature verification on bank checks is critical for fraud prevention and ensuring transaction authenticity. This task is challenging due to the coexistence of signature…
Shape2.5D: A Dataset of Texture-less Surfaces for Depth and Normals Estimation
Muhammad Saif Ullah Khan, Sankalp Sinha, Didier Stricker +2
Reconstructing texture-less surfaces poses unique challenges in computer vision, primarily due to the lack of specialized datasets that cater to the nuanced needs of depth and norm…
SituationalLLM: Proactive language models with scene awareness for dynamic, contextual task guidance
Muhammad Saif Ullah Khan, Muhammad Zeshan Afzal, Didier Stricker
Large language models (LLMs) have achieved remarkable success in text-based tasks but often struggle to provide actionable guidance in real-world physical environments. This is bec…
Estimating Human Poses Across Datasets: A Unified Skeleton and Multi-Teacher Distillation Approach
Muhammad Saif Ullah Khan, Dhavalkumar Limbachiya, Didier Stricker +1
Human pose estimation is a key task in computer vision with various applications such as activity recognition and interactive systems. However, the lack of consistency in the annot…
CICA: Content-Injected Contrastive Alignment for Zero-Shot Document Image Classification
Sankalp Sinha, Muhammad Saif Ullah Khan, Talha Uddin Sheikh +2
Zero-shot learning has been extensively investigated in the broader field of visual recognition, attracting significant interest recently. However, the current work on zero-shot le…
Human Pose Descriptions and Subject-Focused Attention for Improved Zero-Shot Transfer in Human-Centric Classification Tasks
Muhammad Saif Ullah Khan, Muhammad Ferjad Naeem, Federico Tombari +3
We present a novel LLM-based pipeline for creating contextual descriptions of human body poses in images using only auxiliary attributes. This approach facilitates the creation of…