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.
Ranked #5 on Multi-Person Pose Estimation on MS COCO
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.
Ranked #1 on Pose Estimation on MS COCO
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.
Ranked #2 on Pose Estimation on UPenn Action
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.
Ranked #11 on Semantic Segmentation on PASCAL VOC 2012 val