41 citations · 44 across the 7 of their papers we have counts for
7 papers
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…
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…
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…
3D Points Splatting for Real-Time Dynamic Hand Reconstruction
Zheheng Jiang, Hossein Rahmani, Sue Black +1
We present 3D Points Splatting Hand Reconstruction (3D-PSHR), a real-time and photo-realistic hand reconstruction approach. We propose a self-adaptive canonical points upsampling s…
A Probabilistic Attention Model with Occlusion-aware Texture Regression for 3D Hand Reconstruction from a Single RGB Image
Zheheng Jiang, Hossein Rahmani, Sue Black +1
Recently, deep learning based approaches have shown promising results in 3D hand reconstruction from a single RGB image. These approaches can be roughly divided into model-based ap…
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…
Multi-Branch with Attention Network for Hand-Based Person Recognition
Nathanael L. Baisa, Bryan Williams, Hossein Rahmani +2
In this paper, we propose a novel hand-based person recognition method for the purpose of criminal investigations since the hand image is often the only available information in ca…