Long Sha
Long Sha
TuSimple
Verified email at tusimple.ai
Title
Cited by
Cited by
Year
Large-scale analysis of formations in soccer
X Wei, L Sha, P Lucey, S Morgan, S Sridharan
2013 international conference on digital image computing: techniques and …, 2013
712013
Chalkboarding: A New Spatiotemporal Query Paradigm for Sports Play Retrieval
L Sha, P Lucey, Y Yue, P Carr, C Rohlf, I Matthews
Proceedings of the 21st International Conference on Intelligent User …, 2016
352016
Generating Multi-Agent Trajectories using Programmatic Weak Supervision
E Zhan, S Zheng, Y Yue, L Sha, P Lucey
arXiv preprint arXiv:1803.07612, 2018
292018
Understanding and analyzing a large collection of archived swimming videos
L Sha, P Lucey, S Sridharan, S Morgan, D Pease
IEEE Winter Conference on Applications of Computer Vision, 674-681, 2014
252014
Swimmer localization from a moving camera
L Sha, P Lucey, S Morgan, D Pease, S Sridharan
2013 International Conference on Digital Image Computing: Techniques and …, 2013
222013
Generative multi-agent behavioral cloning
E Zhan, S Zheng, Y Yue, L Sha, P Lucey
arXiv, 2018
202018
Predicting Ball Ownership in Basketball from a Monocular View Using Only Player Trajectories
X Wei, L Sha, P Lucey, P Carr, S Sridharan, I Matthews
Proceedings of the IEEE International Conference on Computer Vision …, 2015
202015
Interactive sports analytics: An intelligent interface for utilizing trajectories for interactive sports play retrieval and analytics
L Sha, P Lucey, Y Yue, X Wei, J Hobbs, C Rohlf, S Sridharan
ACM Transactions on Computer-Human Interaction (TOCHI) 25 (2), 1-32, 2018
192018
Quantifying the value of transitions in soccer via spatiotemporal trajectory clustering
J Hobbs, P Power, L Sha, P Lucey
MIT Sloan Sports Analytics Conference, 2018
142018
Fine-Grained Retrieval of Sports Plays using Tree-Based Alignment of Trajectories
L Sha, P Lucey, S Zheng, T Kim, Y Yue, S Sridharan
arXiv preprint arXiv:1710.02255, 2017
142017
System for interactive sports analytics using multi-template alignment and discriminative clustering
P Lucey, SHA Long, X Wei
US Patent App. 10/201,752, 2019
8*2019
System and method for predictive sports analytics using clustered multi-agent data
P Lucey, SHA Long, X Wei
US Patent App. 10/204,300, 2019
8*2019
End-to-End Camera Calibration for Broadcast Videos
L Sha, J Hobbs, P Felsen, X Wei, P Lucey, S Ganguly
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
72020
Sports formation retrieval
PJ Lucey, SHA Long, GPK Carr, IA Matthews
US Patent 10,140,575, 2018
42018
Large-Scale Adversarial Sports Play Retrieval with Learning to Rank
M Di, D Klabjan, L Sha, P Lucey
ACM Transactions on Knowledge Discovery from Data (TKDD) 12 (6), 1-18, 2018
32018
Improved Structural Discovery and Representation Learning of Multi-Agent Data
J Hobbs, M Holbrook, N Frank, L Sha, P Lucey
arXiv preprint arXiv:1912.13107, 2019
22019
Trading places–simulating goalkeeper performance using spatial & body-pose data
P Power, A Cherukumudi, S Ganguly, F Wei, L Sha, J Hobbs, H Ruiz, ...
22019
System and Method for Content and Style Predictions in Sports
S Ganguly, SHA Long, J Hobbs, X Wei, PJ LUCEY
US Patent App. 16/870,170, 2020
2020
Personalizing Prediction of Performance using Data and Body-Pose for Analysis of Sporting Performance
PD Power, A Cherukumudi, S Ganguly, X Wei, SHA Long, J Hobbs, ...
US Patent App. 16/804,964, 2020
2020
System and method for generating trackable video frames from broadcast video
SHA Long, S Ganguly, X Wei, PJ LUCEY, A Cherukumudi
US Patent App. 16/805,116, 2020
2020
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