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Cracking the Black Box: Distilling Deep Sports Analytics
v1v2v3v4 (latest)

Cracking the Black Box: Distilling Deep Sports Analytics

4 June 2020
Xiangyu Sun
Jack Davis
Oliver Schulte
Guiliang Liu
ArXiv (abs)PDFHTML

Papers citing "Cracking the Black Box: Distilling Deep Sports Analytics"

5 / 5 papers shown
Title
pix2pockets: Shot Suggestions in 8-Ball Pool from a Single Image in the Wild
pix2pockets: Shot Suggestions in 8-Ball Pool from a Single Image in the Wild
Jonas Myhre Schiøtt
Viktor Sebastian Petersen
Dimitrios P. Papadopoulos
VLM
129
0
0
16 Apr 2025
ShuttleNet: Position-aware Fusion of Rally Progress and Player Styles
  for Stroke Forecasting in Badminton
ShuttleNet: Position-aware Fusion of Rally Progress and Player Styles for Stroke Forecasting in Badminton
Wei-Yao Wang
Hong-Han Shuai
Kai-Shiang Chang
Chao-Han Huck Yang
71
44
0
02 Dec 2021
Towards optimized actions in critical situations of soccer games with
  deep reinforcement learning
Towards optimized actions in critical situations of soccer games with deep reinforcement learning
Pegah Rahimian
Afshin Oroojlooy
László Toka
27
5
0
14 Sep 2021
Data-driven Analysis for Understanding Team Sports Behaviors
Data-driven Analysis for Understanding Team Sports Behaviors
Keisuke Fujii
AI4TSAI4CE
67
27
0
15 Feb 2021
Game Plan: What AI can do for Football, and What Football can do for AI
Game Plan: What AI can do for Football, and What Football can do for AI
K. Tuyls
Shayegan Omidshafiei
Paul Muller
Zhe Wang
Jerome T. Connor
...
Simon Bouton
Nathalie Beauguerlange
Jackson Broshear
T. Graepel
Demis Hassabis
100
80
0
18 Nov 2020
1