vishweshs4 / awesome-computer-vision-in-sports

A comprehensive list of papers on computer vision in sports

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Awesome

awesome-computer-vision-in-sports

Papers by the year of publications

2020

  • Actor-Transformers for Group Activity Recognition, CVPR'20 [Paper]

  • Progressive Relation Learning for Group Activity Recognition, CVPR'20 [Paper]

2018

  • Soccer on Your Tabletop, CVPR'18 [Paper]

  • Egocentric Basketball Motion Planning From a Single First-Person Image, CVPR'18 [Paper]

  • Towards Structured Analysis of Broadcast Badminton Videos, WACV'18 [Paper]

  • Fine-grained Activity Recognition in Baseball Videos, CVPRW'18 [Paper]

2017

  • What will Happen Next? Forecasting Player Moves in Sports Videos, ICCV'17 [Paper]

  • Not all passes are created equal: Objectively measuring the risk and reward of passes in soccer from tracking data, SIGKDD'17 [Paper]

  • SmartTennisTV: An automatic indexing system for tennis, NCVPRIPG'17 [Paper]

  • Social Scene Understanding: End-to-End Multi-Person Action Localization and Collective Activity Recognition, CVPR'16 [Paper]

2016

  • Chalkboarding: A new spatiotemporal query paradigm for sports play retrieval, ACM IUI'16 [Paper]

  • What players do with the ball: a physically constrained interaction modeling, CVPR'16 [Paper]

  • Generating long-term trajectories using deep hierarchical networks, NIPS'16 [Paper]

  • Detecting Events and Key Actors in Multi-Person Videos, CVPR'16 [Paper]

2015

  • Mimicking human camera operators, WACV'15 [Paper]

  • Quality vs Quantity”- Improved Shot Prediction in Soccer using Strategic Features from Spatiotemporal Data-Paper, MIT Sloan Sports Analytics Conference'15 [Paper]

2014

  • How to get an open shot: Analyzing team movement in basketball using tracking data, MIT SLOAN'14 [Paper]

2013

  • Take your eyes off the ball: Improving ball-tracking by focusing on team play, CVIU'13 [Paper]

  • Detecting and tracking sports players with random forests and context-conditioned motion models, CVPR'13 [Paper]

  • Representing and discovering adversarial team behaviors using player roles, CVPR'13 [Paper]

  • Recognising team activities from noisy data, CVPRW'13 [Paper]

2012

  • Point-less calibration: Camera parameters from gradient-based alignment to edge images, WACV'12 [Paper]

About

A comprehensive list of papers on computer vision in sports