Weakly Supervised Co-training with Swapping Assignments for Semantic Segmentation

1 code implementation • 27 Feb 2024 • Xinyu Yang, Hossein Rahmani, Sue Black, Bryan M. Williams

Class activation maps (CAMs) are commonly employed in weakly supervised semantic segmentation (WSSS) to produce pseudo-labels.

Weakly supervised Semantic Segmentation Weakly-Supervised Semantic Segmentation

3D Points Splatting for Real-Time Dynamic Hand Reconstruction

no code implementations • 21 Dec 2023 • Zheheng Jiang, Hossein Rahmani, Sue Black, Bryan M. Williams

This is followed by a self-adaptive deformation that deforms the hand from the canonical space to the target pose, adapting to the dynamic changing of canonical points which, in contrast to the common practice of subdividing the MANO model, offers greater flexibility and results in improved geometry fitting.

A Probabilistic Attention Model with Occlusion-aware Texture Regression for 3D Hand Reconstruction from a Single RGB Image

1 code implementation • CVPR 2023 • Zheheng Jiang, Hossein Rahmani, Sue Black, Bryan M. Williams

The experimental results demonstrate our probabilistic model's state-of-the-art accuracy in 3D hand and texture reconstruction from a single image in both training schemes, including in the presence of severe occlusions.

3D Hand Pose Estimation regression

Graph-Context Attention Networks for Size-Varied Deep Graph Matching

1 code implementation • CVPR 2022 • Zheheng Jiang, Hossein Rahmani, Plamen Angelov, Sue Black, Bryan M. Williams

Deep learning for graph matching has received growing interest and developed rapidly in the past decade.

Graph Matching