Long Sha

25 papers A* 3A 3Misc 2Journal 14Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
2nd Place Solution for CVPR2024 E2E Challenge: End-to-End Autonomous Driving Using Vision Language Model.
CoRR
Zilong Guo, Yi Luo, Long Sha, Dongxu Wang, Panqu Wang, Chenyang Xu, Yi Yang
2022 J jnl
Adaptive hierarchical update particle swarm optimization algorithm with a multi-choice comprehensive learning strategy.
Appl. Intell.
Shangbo Zhou, Long Sha, Shufang Zhu, Limin Wang
2022 J jnl
Knowledgebra: An Algebraic Learning Framework for Knowledge Graph.
CoRR
Tong Yang, Yifei Wang, Long Sha, Jan Engelbrecht, Pengyu Hong
2022 J jnl
Knowledgebra: An Algebraic Learning Framework for Knowledge Graph.
Mach. Learn. Knowl. Extr.
Tong Yang, Yifei Wang, Long Sha, Jan Engelbrecht, Pengyu Hong
2021 A* conf
Dense Keypoints via Multiview Supervision.
NeurIPS
Zhixuan Yu, Haozheng Yu, Long Sha, Sujoy Ganguly, Hyun Soo Park
2021 J jnl
Semi-supervised Dense Keypointsusing Unlabeled Multiview Images.
CoRR
Zhixuan Yu, Haozheng Yu, Long Sha, Sujoy Ganguly, Hyun Soo Park
2020 J jnl
A Deep Learning Approach for COVID-19 Trend Prediction.
CoRR
Tong Yang, Long Sha, Justin Li, Pengyu Hong
2020 J jnl
A Group-Theoretic Framework for Knowledge Graph Embedding.
CoRR
Tong Yang, Long Sha, Pengyu Hong
2020 A* conf
End-to-End Camera Calibration for Broadcast Videos.
CVPR
Long Sha, Jennifer A. Hobbs, Panna Felsen, Xinyu Wei, Patrick Lucey, Sujoy Ganguly
2020 A conf
NagE: Non-Abelian Group Embedding for Knowledge Graphs.
CIKM
Tong Yang, Long Sha, Pengyu Hong
2020 A* conf
Probabilistic Connection Importance Inference and Lossless Compression of Deep Neural Networks.
ICLR
Xin Xing, Long Sha, Pengyu Hong, Zuofeng Shang, Jun S. Liu
2020 J jnl
Variance Regularization for Accelerating Stochastic Optimization.
CoRR
Tong Yang, Long Sha, Pengyu Hong
2019 — conf
Generating Multi-Agent Trajectories using Programmatic Weak Supervision.
ICLR (Poster)
Eric Zhan, Stephan Zheng, Yisong Yue, Long Sha, Patrick Lucey
2019 J jnl
Improved Structural Discovery and Representation Learning of Multi-Agent Data.
CoRR
Jennifer A. Hobbs, Matthew Holbrook, Nathan Frank, Long Sha, Patrick Lucey
2018 J jnl
Generative Multi-Agent Behavioral Cloning.
CoRR
Eric Zhan, Stephan Zheng, Yisong Yue, Long Sha, Patrick Lucey
2018 J jnl
Interactive Sports Analytics: An Intelligent Interface for Utilizing Trajectories for Interactive Sports Play Retrieval and Analytics.
ACM Trans. Comput. Hum. Interact.
Long Sha, Patrick Lucey, Yisong Yue, Xinyu Wei, Jennifer A. Hobbs, Charlie Rohlf, Sridha Sridharan
2018 J jnl
Large-Scale Adversarial Sports Play Retrieval with Learning to Rank.
ACM Trans. Knowl. Discov. Data
Mingyang Di, Diego Klabjan, Long Sha, Patrick Lucey
2017 J jnl
Fine-Grained Retrieval of Sports Plays using Tree-Based Alignment of Trajectories.
CoRR
Long Sha, Patrick Lucey, Stephan Zheng, Taehwan Kim, Yisong Yue, Sridha Sridharan
2017 — conf
Neural Knowledge Tracing.
BFAL
Long Sha, Pengyu Hong
2016 A conf
Chalkboarding: A New Spatiotemporal Query Paradigm for Sports Play Retrieval.
IUI
Long Sha, Patrick Lucey, Yisong Yue, Peter Carr, Charlie Rohlf, Iain A. Matthews
2015 — conf
Predicting Ball Ownership in Basketball from a Monocular View Using Only Player Trajectories.
ICCV Workshops
Xinyu Wei, Long Sha, Patrick Lucey, Peter Carr, Sridha Sridharan, Iain A. Matthews
2015 J jnl
The Animacy Continuum in the Human Ventral Vision Pathway.
J. Cogn. Neurosci.
Long Sha, James V. Haxby, Hervé Abdi, J. Swaroop Guntupalli, Nikolaas N. Oosterhof, Yaroslav O. Halchenko, Andrew C. Connolly
2014 A conf
Understanding and analyzing a large collection of archived swimming videos.
WACV
Long Sha, Patrick Lucey, Sridha Sridharan, Stuart Morgan, Dave Pease
2013 Misc conf
Large-Scale Analysis of Formations in Soccer.
DICTA
Xinyu Wei, Long Sha, Patrick Lucey, Stuart Morgan, Sridha Sridharan
2013 Misc conf
Swimmer Localization from a Moving Camera.
DICTA
Long Sha, Patrick Lucey, Stuart Morgan, Dave Pease, Sridha Sridharan