activity
20192024
most citedWaterfall Atrous Spatial Pooling Architecture for Efficient Semantic Segmentation

52 citations · 83 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2024

Waterfall Transformer for Multi-person Pose Estimation

Navin Ranjan, Bruno Artacho, Andreas Savakis

We propose the Waterfall Transformer architecture for Pose estimation (WTPose), a single-pass, end-to-end trainable framework designed for multi-person pose estimation. Our framewo…

cs.CV2021

BAPose: Bottom-Up Pose Estimation with Disentangled Waterfall Representations

Bruno Artacho, Andreas Savakis

We propose BAPose, a novel bottom-up approach that achieves state-of-the-art results for multi-person pose estimation. Our end-to-end trainable framework leverages a disentangled m…

cs.CV2021★ 31 cited

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

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. Using a novel waterfall module, the Omn…

cs.CV2020

UniPose: Unified Human Pose Estimation in Single Images and Videos

Bruno Artacho, Andreas Savakis

We propose UniPose, a unified framework for human pose estimation, based on our "Waterfall" Atrous Spatial Pooling architecture, that achieves state-of-art-results on several pose…

cs.CV2019★ 52 cited

Waterfall Atrous Spatial Pooling Architecture for Efficient Semantic Segmentation

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…