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Exploring Severe Occlusion: Multi-Person 3D Pose Estimation with Gated
  Convolution

Exploring Severe Occlusion: Multi-Person 3D Pose Estimation with Gated Convolution

31 October 2020
Renshu Gu
Gaoang Wang
Jenq-Neng Hwang
    3DH
ArXivPDFHTML

Papers citing "Exploring Severe Occlusion: Multi-Person 3D Pose Estimation with Gated Convolution"

5 / 5 papers shown
Title
Multimodal Active Measurement for Human Mesh Recovery in Close Proximity
Multimodal Active Measurement for Human Mesh Recovery in Close Proximity
Takahiro Maeda
Keisuke Takeshita
Norimichi Ukita
Kazuhito Tanaka
20
0
0
12 Oct 2023
Explicit Occlusion Reasoning for Multi-person 3D Human Pose Estimation
Explicit Occlusion Reasoning for Multi-person 3D Human Pose Estimation
Qihao Liu
Yi Zhang
S. Bai
Alan Yuille
31
18
0
29 Jul 2022
Quantification of Occlusion Handling Capability of a 3D Human Pose
  Estimation Framework
Quantification of Occlusion Handling Capability of a 3D Human Pose Estimation Framework
Mehwish Ghafoor
Arif Mahmood
3DH
19
17
0
08 Mar 2022
Track without Appearance: Learn Box and Tracklet Embedding with Local
  and Global Motion Patterns for Vehicle Tracking
Track without Appearance: Learn Box and Tracklet Embedding with Local and Global Motion Patterns for Vehicle Tracking
Gaoang Wang
Renshu Gu
Zuozhu Liu
Weijie Hu
Mingli Song
Jenq-Neng Hwang
VOT
21
50
0
13 Aug 2021
Split and Connect: A Universal Tracklet Booster for Multi-Object
  Tracking
Split and Connect: A Universal Tracklet Booster for Multi-Object Tracking
Gaoang Wang
Yizhou Wang
Renshu Gu
Weijie Hu
Jenq-Neng Hwang
VOT
28
40
0
06 May 2021
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