Dana Randall , Sarah Cannon , Andréa W. Richa , Joshua J. Daymude
arXiv: Distributed, Parallel, and Cluster Computing
Dana Randall , Sarah Cannon , Andréa W. Richa , Joshua J. Daymude
international workshop and international workshop on approximation, randomization, and combinatorial optimization. algorithms and techniques 54
Chengshu Li , Ruohan Zhang , Josiah Wong , Cem Gokmen
Conference on Robot Learning 80 -93
Chengshu Li , Ruohan Zhang , Josiah Wong , Cem Gokmen
arXiv preprint arXiv:2403.09227
Yunhao Ge , Yihe Tang , Jiashu Xu , Cem Gokmen
arXiv preprint arXiv:2405.09546
Yunhao Ge , Yihe Tang , Jiashu Xu , Cem Gokmen
Computer Vision and Pattern Recognition (CVPR)
Manling Li , Shiyu Zhao , Qineng Wang , Kangrui Wang
NeurIPS 2024 Oral, Datasets and Benchmarks Track
Sarah Cannon , Joshua J. Daymude , Cem Gokmen , Dana Randall
principles of distributed computing 483 -485
Cem Gokmen , Ruohan Zhang , Sanjana Srivastava , Chengshu Li
Journal of Vision 22 ( 14) 3819 -3819
Sanjana Srivastava , Chengshu Li , Michael Lingelbach , Roberto Martín-Martín
Smpte Journal 477 -490
Cem Gokmen , Daniel Ho , Mohi Khansari
arXiv preprint arXiv:2302.04334
Chengshu Li , Fei Xia , Roberto Martín-Martín , Michael Lingelbach
arXiv preprint arXiv:2108.03272
Chengshu Li , Cem Gokmen , Gabrael Levine , Roberto Martín-Martín
6th Annual Conference on Robot Learning
Sarah Cannon , Joshua J Daymude , Cem Gokmen , Dana Randall
arXiv preprint arXiv:1805.04599
Chengshu Li , Ruohan Zhang , Josiah Wong , Cem Gokmen
CoRL
Cem Gokmen
Georgia Institute of Technology