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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 estimation metrics. UniPose incorporates contextual segmentation and joint localization to estimate the human pose in a single stage, with high accuracy, without relying on statistical postprocessing methods. The Waterfall module in UniPose leverages the efficiency of progressive filtering in the cascade architecture,doi:10.1109/cvpr42600.2020.00706 dblp:conf/cvpr/ArtachoS20 fatcat:544vyz7fyfg4viqn5llskbetzu