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Bishoy Galoaa

Bishoy Galoaa

PhD student and computer vision researcher

Boston, Massachusetts

Summary

Focused researcher in multi-object and multi-person tracking who authors and contributes to state-of-the-art tracking algorithms (MOTE, DragonTrack) that address occlusion and re-identification challenges in complex scenes. mlr+1
Bridges academic computer vision research and clinical applications — has collaborated with Mass General Brigham on machine learning for orthopedic oncology and co-authored related publications. orcid+1
Combines software and hardware experience: background includes hardware acceleration and VLSI teaching plus applied machine learning roles in industry, enabling work across model design and efficient deployment. getprog+1
Active contributor to open-source research code and reproducible science, providing project repositories and demos (MOTE, DragonTrack) used to demonstrate methods and results. github+1
Engaged educator and course developer during graduate studies, supporting teaching and curriculum development in machine learning with small data. northeastern

Work

Education

Projects

Writing

More Than Meets the Eye: Enhancing Multi-Object Tracking Even with Prolonged Occlusions

January 1, 2025

Introduces MOTE, a multi-object tracking algorithm using deformable detection transformers, optical flow, and a disocclusion matrix to maintain track consistency under prolonged occlusions; reports strong results on MOT17/MOT20/DanceTrack.

Favicon imageproceedings.mlr.press

DragonTrack: Transformer-Enhanced Graphical Multi-Person Tracking in Complex Scenarios

January 1, 2025

Presents DragonTrack, an end-to-end framework combining detection transformers and graph convolutional networks for multi-person tracking; demonstrates improved HOTA and MOTA on MOT benchmarks.

Favicon imageopenaccess.thecvf.com

Uncertainty-Aware Ankle Exoskeleton Control

January 1, 2025

An uncertainty-aware control framework enabling ankle exoskeletons to detect out-of-distribution movements and safely disengage assistance; evaluates ensemble uncertainty estimators and online testing.

Favicon imagearxiv.org

Track and Caption Any Motion: Query-Free Motion Discovery and Description in Videos

January 1, 2025

Proposes TCAM, a motion-centric framework that discovers and describes motion patterns without queries by aligning motion fields with vision-language representations for spatial grounding.

Favicon imagearxiv.org

K-Track: Kalman-Enhanced Tracking for Accelerating Deep Point Trackers on Edge Devices

January 1, 2025

Introduces K-Track, a hybrid framework combining sparse deep learning keyframe updates with Kalman filtering to accelerate point trackers for edge deployment while retaining accuracy.

Favicon imagearxiv.org

Advancing prognostics in oncology: developing a machine learning model for predicting 2-year and 5-year survival rates in patients with undifferentiated pleomorphic sarcoma

January 1, 2025

Clinical machine learning work in orthopedic oncology contributing to prognostic models and related reflections published in Annals of Surgical Oncology / PubMed entries.

Favicon imagepubmed.ncbi.nlm.nih.gov