Mohamed Abdelsamad

4 papers · 2023–2026 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (12)

Venues

CVPR (2) AAAI (1) WACV (1)

Top co-authors

Bin Yang (3) Michael Ulrich (2) Abhinav Valada (2) Miao Zhang (2) Yakov Miron (1) Jurgen Beyerer (1) Matthias Kayser (1) Karim Guirguis (1) Claudius Glaeser (1) Ahmed Hendawy (1)

Research topics

Computer Vision (4) Analysis (4) Machine Learning (3) Learning Types · Machine Learning (3) Deep Learning (2) Learning Types · Deep Learning (2) Artificial Intelligence (1) Architectures (1) Domain-Specific (1) Learning Paradigms (1)

Keywords

self-supervised learning (3) point cloud (3) 3d object detection (2) semantic segmentation (2) instance segmentation (1) dense prediction (1) masked autoencoder (1) few-shot object detection (1) lidar point cloud (1) panoptic segmentation (1) representation learning (1) one-stage detector (1) transfer learning (1) prototype learning (1) 3d scene understanding (1)

Papers

DOS: Distilling Observable Softmaps of Zipfian Prototypes for Self-Supervised Point Representation AAAI 2026 Towards Foundation Models for 3D Scene Understanding: Instance-Aware Self-Supervised Learning for Point Clouds CVPR 2026 Multi-Scale Neighborhood Occupancy Masked Autoencoder for Self-Supervised Learning in LiDAR Point Clouds CVPR 2025 Towards Discriminative and Transferable One-Stage Few-Shot Object Detectors WACV 2023