ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2407.16788
  4. Cited By
Occlusion-Aware 3D Motion Interpretation for Abnormal Behavior Detection

Occlusion-Aware 3D Motion Interpretation for Abnormal Behavior Detection

23 July 2024
Su Li
Wang Liang
Jianye Wang
Ziheng Zhang
Lei Zhang
ArXiv (abs)PDFHTML

Papers citing "Occlusion-Aware 3D Motion Interpretation for Abnormal Behavior Detection"

17 / 17 papers shown
Title
3D Human Pose Estimation via Intuitive Physics
3D Human Pose Estimation via Intuitive Physics
Shashank Tripathi
Lea Müller
C. Huang
Omid Taheri
Michael J. Black
Dimitrios Tzionas
3DH
100
74
0
31 Mar 2023
GPT-4 Technical Report
GPT-4 Technical Report
OpenAI OpenAI
OpenAI Josh Achiam
Steven Adler
Sandhini Agarwal
Lama Ahmad
...
Shengjia Zhao
Tianhao Zheng
Juntang Zhuang
William Zhuk
Barret Zoph
LLMAGMLLM
1.5K
14,699
0
15 Mar 2023
Physics-based Human Motion Estimation and Synthesis from Videos
Physics-based Human Motion Estimation and Synthesis from Videos
Kevin Xie
Tingwu Wang
Umar Iqbal
Yunrong Guo
Sanja Fidler
Florian Shkurti
3DH
74
83
0
21 Sep 2021
FrankMocap: A Monocular 3D Whole-Body Pose Estimation System via
  Regression and Integration
FrankMocap: A Monocular 3D Whole-Body Pose Estimation System via Regression and Integration
Yu Rong
Takaaki Shiratori
Hanbyul Joo
3DHCVBM
79
197
0
13 Aug 2021
Learning to Estimate Hidden Motions with Global Motion Aggregation
Learning to Estimate Hidden Motions with Global Motion Aggregation
Shihao Jiang
Dylan Campbell
Yao Lu
Hongdong Li
Leonid Sigal
3DPC
127
297
0
06 Apr 2021
HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D
  Human Pose and Shape Estimation
HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D Human Pose and Shape Estimation
Jiefeng Li
Chao Xu
Zhicun Chen
Siyuan Bian
Lixin Yang
Cewu Lu
3DH
79
380
0
30 Nov 2020
Beyond Static Features for Temporally Consistent 3D Human Pose and Shape
  from a Video
Beyond Static Features for Temporally Consistent 3D Human Pose and Shape from a Video
Hongsuk Choi
Gyeongsik Moon
Ju Yong Chang
Kyoung Mu Lee
3DH
72
209
0
17 Nov 2020
Pose2Mesh: Graph Convolutional Network for 3D Human Pose and Mesh
  Recovery from a 2D Human Pose
Pose2Mesh: Graph Convolutional Network for 3D Human Pose and Mesh Recovery from a 2D Human Pose
Hongsuk Choi
Gyeongsik Moon
Kyoung Mu Lee
3DH
70
383
0
20 Aug 2020
FrankMocap: Fast Monocular 3D Hand and Body Motion Capture by Regression
  and Integration
FrankMocap: Fast Monocular 3D Hand and Body Motion Capture by Regression and Integration
Yu Rong
Takaaki Shiratori
Hanbyul Joo
3DH
57
100
0
19 Aug 2020
NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity
  Understanding
NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding
Jun Liu
Amir Shahroudy
Mauricio Perez
G. Wang
Ling-yu Duan
Alex C. Kot
82
1,293
0
12 May 2019
Exploiting temporal context for 3D human pose estimation in the wild
Exploiting temporal context for 3D human pose estimation in the wild
Anurag Arnab
Carl Doersch
Andrew Zisserman
3DH
69
236
0
10 May 2019
Real-world Anomaly Detection in Surveillance Videos
Real-world Anomaly Detection in Surveillance Videos
Waqas Sultani
Chen Chen
M. Shah
AI4TS
177
1,492
0
12 Jan 2018
End-to-end Recovery of Human Shape and Pose
End-to-end Recovery of Human Shape and Pose
Angjoo Kanazawa
Michael J. Black
David Jacobs
Jitendra Malik
3DH
213
1,801
0
18 Dec 2017
Neural Discrete Representation Learning
Neural Discrete Representation Learning
Aaron van den Oord
Oriol Vinyals
Koray Kavukcuoglu
BDLSSLOCL
230
5,071
0
02 Nov 2017
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume
Deqing Sun
Xiaodong Yang
Ming-Yuan Liu
Jan Kautz
3DPC
267
2,448
0
07 Sep 2017
FlowNet: Learning Optical Flow with Convolutional Networks
FlowNet: Learning Optical Flow with Convolutional Networks
Philipp Fischer
Alexey Dosovitskiy
Eddy Ilg
Philip Häusser
C. Hazirbas
Vladimir Golkov
Patrick van der Smagt
Daniel Cremers
Thomas Brox
3DPC
316
4,180
0
26 Apr 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.7K
100,508
0
04 Sep 2014
1