3 citations · 3 across the 3 of their papers we have counts for
4 papers
When Trackers Fail: VLM-Guided Verification and Recovery for Robust Video Object Segmentation
Valay Bundele, Susmit Agrawal, Mehran Hosseinzadeh +2
Recent trackers built on foundation models such as the Segment Anything Model (SAM) achieve strong performance by propagating object masks through memory. However, this strength is…
ReMeDI: Refined Memory for Disambiguation of Identities with SAM3 in Surgical Segmentation
Valay Bundele, Mehran Hosseinzadeh, Hendrik P. A. Lensch
Accurate surgical instrument segmentation in endoscopy is crucial for computer-assisted interventions, yet remains challenging due to frequent occlusions, rapid motion, and long-te…
You Are Your Best Teacher: Semi-Supervised Surgical Point Tracking with Cycle-Consistent Self-Distillation
Valay Bundele, Mehran Hosseinzadeh, Hendrik Lensch
Synthetic datasets have enabled significant progress in point tracking by providing large-scale, densely annotated supervision. However, deploying these models in real-world domain…
Domain Adaptation and Generalization on Functional Medical Images: A Systematic Survey
Gita Sarafraz, Armin Behnamnia, Mehran Hosseinzadeh +3
Machine learning algorithms have revolutionized different fields, including natural language processing, computer vision, signal processing, and medical data processing. Despite th…