My Research

Browse my papers, datasets, software, and project pages here. Start with the interactive map to explore how the work connects across spine vision, pose estimation, biomechanics, multimodal learning, and document AI, then use the publication list below for the full record.

Interactive research map of papers, datasets, software, and collaboration calls Interactive research map linking publications, datasets, software, and collaboration surfaces across spine vision, human pose estimation, multimodal learning, document AI, and geometry.

Use the theme filter or search to narrow the map, then click any node to open its summary, connected nodes, and destination page.

Publications

Full list of papers, preprints, theses, reports, datasets, and software pages. Sort by title or year to scan the work from different angles.

SIMSPINE: A Biomechanics-Aware Simulation Framework for 3D Spine Motion Annotation and Benchmarking
Muhammad Saif Ullah Khan, Didier Stricker
CVPR 2026 · Conference paper
2026
PoseAdapt: Sustainable Human Pose Estimation via Continual Learning Benchmarks and Toolkit
Muhammad Saif Ullah Khan, Didier Stricker
WACV 2026 · Conference paper
2025
Towards Unconstrained 2D Pose Estimation of the Human Spine
Muhammad Saif Ullah Khan, Stephan Krauß, Didier Stricker
CVSports at CVPR 2025 · Workshop paper
2025
Classroom-Inspired Multi-mentor Distillation with Adaptive Learning Strategies
Shalini Sarode*, Muhammad Saif Ullah Khan*, Tahira Shehzadi, Didier Stricker, Muhammad Zeshan Afzal
Intelligent Systems Conference 2025 · Conference paper
2025
SituationalLLM: Proactive Language Models with Scene Awareness for Dynamic, Contextual Task Guidance
Muhammad Saif Ullah Khan, Muhammad Zeshan Afzal, Didier Stricker
Open Research Europe · Journal paper
2025
Shape2.5D: A Dataset of Texture-less Surfaces for Depth and Normals Estimation
Muhammad Saif Ullah Khan, Sankalp Sinha, Didier Stricker, Marcus Liwicki, Muhammad Zeshan Afzal
IEEE Access · Journal paper
2024
Enhanced Bank Check Security: Introducing a Novel Dataset and Transformer-Based Approach for Detection and Verification
Muhammad Saif Ullah Khan*, Tahira Shehzadi*, Rabeya Noor, Didier Stricker, Muhammad Zeshan Afzal
DAS Workshop at ICDAR 2024 · Workshop paper
2024
CICA: Content-Injected Contrastive Alignment for Zero-Shot Document Image Classification
Sankalp Sinha, Muhammad Saif Ullah Khan, Talha Uddin Sheikh, Didier Stricker, Muhammad Zeshan Afzal
ICDAR 2024 · Conference paper
2024
Estimating Human Poses Across Datasets: A Unified Skeleton and Multi-Teacher Distillation Approach
Muhammad Saif Ullah Khan, Dhavalkumar Limbachiya, Didier Stricker, Muhammad Zeshan Afzal
arXiv · Preprint
2024
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, Luc Van Gool, Didier Stricker, Muhammad Zeshan Afzal
arXiv · Preprint
2024
Learning to Reconstruct Textureless and Transparent Surfaces in 3D
Muhammad Saif Ullah Khan, Muhammad Zeshan Afzal, Didier Stricker
RPTU Kaiserslautern-Landau · Master's thesis
2022
Three-Dimensional Reconstruction from a Single RGB Image using Deep Learning: A Review
Muhammad Saif Ullah Khan, Alain Pagani, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal
Journal of Imaging · Journal paper
2022
BCSD: A novel segmentation dataset for signatures on bank checks
Muhammad Saif Ullah Khan
arXiv · Preprint
2021
Signature Verification
Muhammad Saif Ullah Khan, Muhammad Mahad Tariq, Bilal Ahmad
National University of Sciences and Technology (NUST) · Bachelor's thesis
2018

Showing 14 research publications.