Winston Bounsavy
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Researcher
Unknown Researcher
Research Areas
Biography and Research Information
OverviewAI-generated summary
Winston Bounsavy's research focuses on advancing computer vision techniques, particularly in the area of amodal instance segmentation. His work addresses the challenge of understanding and reconstructing the complete shape of objects even when parts are occluded from view. Bounsavy has published on methods like ShapeFormer, which utilizes a transformer-based approach with shape priors, and A2VIS, an amodal-aware system designed for video instance segmentation.
His recent publications include "ShapeFormer: Shape Prior Visible-to-Amodal Transformer-based Amodal Instance Segmentation" and multiple papers on "A2VIS: Amodal-Aware Approach to Video Instance Segmentation." Bounsavy has collaborated with Ngan Le and Thang M. Pham, with whom he shares multiple publications, indicating a collaborative research environment at the University of Arkansas at Fayetteville. His h-index is 2 with a total of 5 publications and 17 citations.
Metrics
- h-index: 2
- Publications: 5
- Citations: 17
Selected Publications
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A2VIS: Amodal-Aware Approach to Video Instance Segmentation (2025)
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A2vis: Amodal-Aware Approach to Video Instance Segmentation (2024)
Collaboration Network
Top Collaborators
- A2VIS: Amodal-Aware Approach to Video Instance Segmentation
- A2vis: Amodal-Aware Approach to Video Instance Segmentation
- A2VIS: Amodal-Aware Approach to Video Instance Segmentation
- A2vis: Amodal-Aware Approach to Video Instance Segmentation
- A2VIS: Amodal-Aware Approach to Video Instance Segmentation
- A2vis: Amodal-Aware Approach to Video Instance Segmentation
- A2vis: Amodal-Aware Approach to Video Instance Segmentation
- A2VIS: Amodal-Aware Approach to Video Instance Segmentation
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