Human Pose Estimation with Iterative Error Feedback

Carreira, Joao, Agrawal, Pulkit, Fragkiadaki, Katerina, Malik, Jitendra·2016·2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Cited by (806)

Items 301–400 of 806

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  12. Fast Single-Person 2D Human Pose Estimation Using Multi-Task Convolutional Neural Networks
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  19. Multi-Person Pose Estimation with Local Joint-to-Person Associations
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  20. Human Joint Angle Estimation and Gesture Recognition for Assistive Robotic Vision
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  21. Human Pose Estimation With Deeply Learned Multi-Scale Compositional Models
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  25. Yoga Pose Perfection using Deep Learning
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  27. 3-D Human Pose Estimation Using Iterative Conditional Squeeze and Excitation Networks
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  30. Bottom-Up Human Pose Estimation by Ranking Heatmap-Guided Adaptive Keypoint Estimates
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  31. DESNet: Real-time human pose estimation for sports applications combining IoT and deep learning
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  33. Human Pose Estimation using Artificial Intelligence with Virtual Gym Tracker
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  35. PhysPT: Physics-aware Pretrained Transformer for Estimating Human Dynamics from Monocular Videos
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  40. Deep Component Analysis via Alternating Direction Neural Networks
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  41. RefiNet: 3D Human Pose Refinement with Depth Maps
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  44. RoPose: CNN-based 2D Pose Estimation of Industrial Robots
    Thomas Gulde, Dennis Ludl, Cristóbal Curio · 2018 · IEEE International Conference on Automation Science and Engineering (CASE)
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  47. A Virtual Trial Room using Pose Estimation and Homography
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  48. Lightweight densely connected residual network for human pose estimation
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  51. GLPose: Global-Local Representation Learning for Human Pose Estimation
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    Zehua Fu, Wenhang Zuo, Zhenghui Hu, Qingjie Liu, Yunhong Wang · 2023 · IEEE Transactions on Multimedia
  55. Multi-Person Pose Estimation using an Orientation and Occlusion Aware Deep Learning Network
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  56. Deep Feedback Inverse Problem Solver
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  58. Dual Graph Networks for Pose Estimation in Crowded Scenes
    Jun Tu, Gangshan Wu, Limin Wang · 2023 · International Journal of Computer Vision
  59. Efficient Outdoor Video Semantic Segmentation Using Feedback-Based Fully Convolution Neural Network
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