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Bryan M. Williams

1 paper hereh-index 8262 citations13 works total

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  • middle author1

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  • cs.CV1

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4 papers · 1 filter

cs.CV2024

Leveraging Transfer Learning and Multiple Instance Learning for HER2 Automatic Scoring of H\&E Whole Slide Images

Rawan S. Abdulsadig, Bryan M. Williams, Nikolay Burlutskiy

Expression of human epidermal growth factor receptor 2 (HER2) is an important biomarker in breast cancer patients who can benefit from cost-effective automatic Hematoxylin and Eosi…

cs.CV2024

Towards Adaptive Pseudo-label Learning for Semi-Supervised Temporal Action Localization

Feixiang Zhou, Bryan Williams, Hossein Rahmani

Alleviating noisy pseudo labels remains a key challenge in Semi-Supervised Temporal Action Localization (SS-TAL). Existing methods often filter pseudo labels based on strict condit…

cs.CV2024

Recent Advances of Continual Learning in Computer Vision: An Overview

Haoxuan Qu, Hossein Rahmani, Li Xu +2

In contrast to batch learning where all training data is available at once, continual learning represents a family of methods that accumulate knowledge and learn continuously with…

cs.CV2024

Weakly Supervised Co-training with Swapping Assignments for Semantic Segmentation

Xinyu Yang, Hossein Rahmani, Sue Black +1

Class activation maps (CAMs) are commonly employed in weakly supervised semantic segmentation (WSSS) to produce pseudo-labels. Due to incomplete or excessive class activation, exis…

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