BAPose: Bottom-Up Pose Estimation with Disentangled Waterfall Representations

1 code implementation • 20 Dec 2021 • Bruno Artacho, Andreas Savakis

We propose BAPose, a novel bottom-up approach that achieves state-of-the-art results for multi-person pose estimation.

Multi-Person Pose Estimation

OmniPose: A Multi-Scale Framework for Multi-Person Pose Estimation

1 code implementation • 18 Mar 2021 • Bruno Artacho, Andreas Savakis

We propose OmniPose, a single-pass, end-to-end trainable framework, that achieves state-of-the-art results for multi-person pose estimation.

UniPose: Unified Human Pose Estimation in Single Images and Videos

2 code implementations • CVPR 2020 • Bruno Artacho, Andreas Savakis

Our results on multiple datasets demonstrate that UniPose, with a ResNet backbone and Waterfall module, is a robust and efficient architecture for pose estimation obtaining state-of-the-art results in single person pose detection for both single images and videos.

Pose Estimation Skeleton Based Action Recognition

Waterfall Atrous Spatial Pooling Architecture for Efficient Semantic Segmentation

1 code implementation • 6 Dec 2019 • Bruno Artacho, Andreas Savakis

We propose a new efficient architecture for semantic segmentation, based on a "Waterfall" Atrous Spatial Pooling architecture, that achieves a considerable accuracy increase while decreasing the number of network parameters and memory footprint.

Segmentation Semantic Segmentation