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Applying Deep Bidirectional LSTM and Mixture Density Network for Basketball Trajectory Prediction

Applying Deep Bidirectional LSTM and Mixture Density Network for Basketball Trajectory Prediction

Yu Zhao
Rennong Yang
Guillaume Chevalier
R. Shah
Rob Romijnders
ArXiv (abs)PDFHTML

Papers citing "Applying Deep Bidirectional LSTM and Mixture Density Network for Basketball Trajectory Prediction"

6 / 6 papers shown
Title
Dynamic Object Catching with Quadruped Robot Front Legs
Dynamic Object Catching with Quadruped Robot Front Legs
André Schakkal
Guillaume Bellegarda
A. Ijspeert
69
1
0
10 Oct 2024
Multi-agent statistical discriminative sub-trajectory mining and an application to NBA basketball
Multi-agent statistical discriminative sub-trajectory mining and an application to NBA basketball
Rory Bunker
Vo Nguyen Le Duy
Yasuo Tabei
Ichiro Takeuchi
Keisuke Fujii
19
4
0
28 Nov 2023
A Comprehensive Review of Computer Vision in Sports: Open Issues, Future Trends and Research Directions
A Comprehensive Review of Computer Vision in Sports: Open Issues, Future Trends and Research Directions
Banoth Thulasya Naik
Mohammad Farukh Hashmi
N. Bokde
90
95
0
03 Mar 2022
FRMDN: Flow-based Recurrent Mixture Density Network
FRMDN: Flow-based Recurrent Mixture Density Network
S. Razavi
Reshad Hosseini
Tina Behzad
BDL
28
0
0
05 Aug 2020
TPNet: Trajectory Proposal Network for Motion Prediction
TPNet: Trajectory Proposal Network for Motion Prediction
Liangji Fang
Qinhong Jiang
Jianping Shi
Bolei Zhou
119
186
0
26 Apr 2020
Recurrent Neural Network-based Model for Accelerated Trajectory Analysis in AIMD Simulations
Recurrent Neural Network-based Model for Accelerated Trajectory Analysis in AIMD Simulations
M. Eslamibidgoli
Mehrdad Mokhtari
M. Eikerling
51
13
0
23 Sep 2019