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Efficient Human Pose Estimation by Learning Deeply Aggregated
  Representations
v1v2 (latest)

Efficient Human Pose Estimation by Learning Deeply Aggregated Representations

IEEE International Conference on Multimedia and Expo (ICME), 2020
13 December 2020
Zhengxiong Luo
Zhicheng Wang
Yuanhao Cai
Guanán Wang
Yan Huang
Liang Wang
Erjin Zhou
Tieniu Tan
Jian Sun
    3DH
ArXiv (abs)PDFHTML

Papers citing "Efficient Human Pose Estimation by Learning Deeply Aggregated Representations"

4 / 4 papers shown
On the Use of Hierarchical Vision Foundation Models for Low-Cost Human Mesh Recovery and Pose Estimation
On the Use of Hierarchical Vision Foundation Models for Low-Cost Human Mesh Recovery and Pose Estimation
Shuhei Tarashima
Yushan Wang
Norio Tagawa
3DH
223
0
0
14 Oct 2025
Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware
  Adversarial Training
Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial TrainingNeural Information Processing Systems (NeurIPS), 2022
Yuanhao Cai
Xiaowan Hu
Haoqian Wang
Yulun Zhang
Hanspeter Pfister
D. Wei
250
78
0
06 Apr 2022
RFormer: Transformer-based Generative Adversarial Network for Real
  Fundus Image Restoration on A New Clinical Benchmark
RFormer: Transformer-based Generative Adversarial Network for Real Fundus Image Restoration on A New Clinical BenchmarkIEEE journal of biomedical and health informatics (IEEE JBHI), 2022
Zhuo Deng
Yuanhao Cai
Lu Chen
Zheng Gong
Qiqi Bao
Xue Yao
D. Fang
Shaochong Zhang
Lan Ma
ViTMedIm
368
77
0
03 Jan 2022
Adaptive Dilated Convolution For Human Pose Estimation
Adaptive Dilated Convolution For Human Pose Estimation
Zhengxiong Luo
Zhicheng Wang
Yan Huang
Liang Wang
Tieniu Tan
Erjin Zhou
3DH
172
4
0
22 Jul 2021
1
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