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Rethinking the Heatmap Regression for Bottom-up Human Pose Estimation
Heatmap regression has become the most prevalent choice for nowadays hum...
12/30/2020 ∙ by Zhengxiong Luo, et al. ∙
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Efficient Human Pose Estimation by Learning Deeply Aggregated Representations
In this paper, we propose an efficient human pose estimation network (DA...
12/13/2020 ∙ by Zhengxiong Luo, et al. ∙
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DPGN: Distribution Propagation Graph Network for Few-shot Learning
We extend this idea further to explicitly model the distribution-level r...
03/31/2020 ∙ by Ling Yang, et al. ∙
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Learning Delicate Local Representations for Multi-Person Pose Estimation
In this paper, we propose a novel method called Residual Steps Network (...
03/09/2020 ∙ by Yuanhao Cai, et al. ∙
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GridFace: Face Rectification via Learning Local Homography Transformations
In this paper, we propose a method, called GridFace, to reduce facial ge...
08/19/2018 ∙ by Erjin Zhou, et al. ∙
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Naive-Deep Face Recognition: Touching the Limit of LFW Benchmark or Not?
Face recognition performance improves rapidly with the recent deep learn...
01/20/2015 ∙ by Erjin Zhou, et al. ∙
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