Science Score: 31.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (0.2%) to scientific vocabulary
Last synced: 10 months ago
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Repository
ksc는 구두발표했지만 포스터는 필요하다.
Basic Info
- Host: GitHub
- Owner: yhs0602
- Language: TeX
- Default Branch: main
- Size: 12.3 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 1
- Releases: 0
Created about 2 years ago
· Last pushed about 2 years ago
Metadata Files
Readme
Citation
README.md
KSC poster
Owner
- Name: Hyeonseo Yang
- Login: yhs0602
- Kind: user
- Location: Seoul, Republic Of Korea
- Company: SNUCSE 19 @snulife
- Website: https://stackoverflow.com/users/8614565/kyhsgeekcode
- Repositories: 1
- Profile: https://github.com/yhs0602
Citation (citation.bib)
@article{Geoffrey,
author = {Bird, Geoffrey and Heyes, Cecilia},
year = {2007},
month = {01},
pages = {},
title = {Imitation: Thoughts about theories},
isbn = {9780521845113},
journal = {Imitation and Social Learning in Robots, Humans and Animals: Behavioural, Social and Communicative Dimensions},
doi = {10.1017/CBO9780511489808.003}
}
@article{ood17,
author = {Dan Hendrycks and Kevin Gimpel},
title = {A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks},
journal = {Proceedings of International Conference on Learning Representations},
year = {2017},
}
@article{got10k,
doi = {10.1109/tpami.2019.2957464},
url = {https://doi.org/10.1109%2Ftpami.2019.2957464},
year = 2021,
month = {may},
publisher = {Institute of Electrical and Electronics Engineers ({IEEE})},
volume = {43},
number = {5},
pages = {1562--1577},
author = {Lianghua Huang and Xin Zhao and Kaiqi Huang},
title = {{GOT}-10k: A Large High-Diversity Benchmark for Generic Object Tracking in the Wild},
journal = {{IEEE} Transactions on Pattern Analysis and Machine Intelligence}
}
@INPROCEEDINGS{Damen2018EPICKITCHENS,
title={Scaling Egocentric Vision: The EPIC-KITCHENS Dataset},
author={Damen, Dima and Doughty, Hazel and Farinella, Giovanni Maria and Fidler, Sanja and
Furnari, Antonino and Kazakos, Evangelos and Moltisanti, Davide and Munro, Jonathan
and Perrett, Toby and Price, Will and Wray, Michael},
booktitle={European Conference on Computer Vision (ECCV)},
year={2018}
}
@misc{mixformer,
doi = {10.48550/ARXIV.2203.11082},
url = {https://arxiv.org/abs/2203.11082},
author = {Cui, Yutao and Jiang, Cheng and Wang, Limin and Wu, Gangshan},
keywords = {Computer Vision and Pattern Recognition (cs.CV), FOS: Computer and information sciences, FOS: Computer and information sciences},
title = {MixFormer: End-to-End Tracking with Iterative Mixed Attention},
publisher = {arXiv},
year = {2022},
copyright = {Creative Commons Attribution 4.0 International}
}
@InProceedings{TREK150,
author = {Dunnhofer, Matteo and Furnari, Antonino and Farinella, Giovanni Maria and Micheloni, Christian},
title = {Is First Person Vision Challenging for Object Tracking?},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2021}
}
@misc{mot16,
doi = {10.48550/ARXIV.1603.00831},
url = {https://arxiv.org/abs/1603.00831},
author = {Milan, Anton and Leal-Taixe, Laura and Reid, Ian and Roth, Stefan and Schindler, Konrad},
keywords = {Computer Vision and Pattern Recognition (cs.CV), FOS: Computer and information sciences, FOS: Computer and information sciences},
title = {MOT16: A Benchmark for Multi-Object Tracking},
publisher = {arXiv},
year = {2016},
copyright = {arXiv.org perpetual, non-exclusive license}
}
@misc{lasot,
doi = {10.48550/ARXIV.1809.07845},
url = {https://arxiv.org/abs/1809.07845},
author = {Fan, Heng and Lin, Liting and Yang, Fan and Chu, Peng and Deng, Ge and Yu, Sijia and Bai, Hexin and Xu, Yong and Liao, Chunyuan and Ling, Haibin},
keywords = {Computer Vision and Pattern Recognition (cs.CV), FOS: Computer and information sciences, FOS: Computer and information sciences},
title = {LaSOT: A High-quality Benchmark for Large-scale Single Object Tracking},
publisher = {arXiv},
year = {2018},
copyright = {arXiv.org perpetual, non-exclusive license}
}
@article {VOT_2020,
author = {Matej Kristan and Jiri Matas and Ale\v{s} Leonardis and Tomas Vojir and Roman Pflugfelder and Gustavo Fernandez and Georg Nebehay and Fatih Porikli and Luka \v{C}ehovin},
journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
title={A Novel Performance Evaluation Methodology for Single-Target Trackers},
year={2016}, month={Nov}, volume={38}, number={11}, pages={2137-2155},
doi={10.1109/TPAMI.2016.2516982}, ISSN={0162-8828}
}
@misc{wu2019modelbased,
title={Model-based Behavioral Cloning with Future Image Similarity Learning},
author={Alan Wu and AJ Piergiovanni and Michael S. Ryoo},
year={2019},
eprint={1910.03157},
archivePrefix={arXiv},
primaryClass={cs.RO}
}
@misc{cetin2021domainrobust,
title={Domain-Robust Visual Imitation Learning with Mutual Information Constraints},
author={Edoardo Cetin and Oya Celiktutan},
year={2021},
eprint={2103.05079},
archivePrefix={arXiv},
primaryClass={cs.LG}
}
@article{Meltzoff,
author = {Meltzoff, Andrew N, and M Keith Moore},
year = {1994},
month = {},
pages = {83-99},
volume = {17},
title = {Imitation, Memory, and the Representation of Persons},
isbn = {},
journal = {Infant behavior & development},
doi = {10.1016/0163-6383(94)90024-8}
}
@article{Rizzolatti,
author = {Rizzolatti, Giacomo and Fadiga, Luciano and Fogassi, Leonardo and Gallese, Vittorio},
year = {2002},
month = {04},
pages = {},
title = {From Mirror Neurons to Imitation: Facts and Speculations},
volume = {Vol. 6},
isbn = {9780521806855},
journal = {The Imitative Mind: Development, Evolution, and Brain Bases},
doi = {10.1017/CBO9780511489969.015}
}
@misc{BCO,
title={Behavioral Cloning from Observation},
author={Faraz Torabi and Garrett Warnell and Peter Stone},
year={2018},
eprint={1805.01954},
archivePrefix={arXiv},
primaryClass={cs.AI}
}
@ARTICLE{classifymoveBCI,
AUTHOR={Chmura, Jennifer and Rosing, Joshua and Collazos, Steven and Goodwin, Shikha J.},
TITLE={Classification of Movement and Inhibition Using a Hybrid BCI}, JOURNAL={Frontiers in Neurorobotics},
VOLUME={11},
PAGES={38},
YEAR={2017},
URL={https://www.frontiersin.org/article/10.3389/fnbot.2017.00038},
DOI={10.3389/fnbot.2017.00038},
ISSN={1662-5218},
}
@ARTICLE{motorGetSensory,
AUTHOR={Kilteni, K., Andersson, B.J., Houborg, C. et al.},
TITLE={ Motor imagery involves predicting the sensory consequences of the imagined movement.},
JOURNAL={Nat Commun},
VOLUME={9},
PAGES={1617},
YEAR={2018},
URL={https://doi.org/10.1038/s41467-018-03989-0},
DOI={10.1038/s41467-018-03989-0},
}
@InProceedings{naverlabs_transformer,
author="Theo Cachet, Julien Perez, Seungsu Kim",
title="Transformer-based Meta-Imitation Learning for
Robotic Manipulation",
year="2020",
publisher="3rd Workshop on Robot Learning, Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS)",
}
@InProceedings{classifyhumanMove,
author="Hochuli, A. G.
and Oliveira, L. E. S.
and Britto, A. S.
and Koerich, A. L.",
editor="Mery, Domingo
and Rueda, Luis",
title="Detection and Classification of Human Movements in Video Scenes",
booktitle="Advances in Image and Video Technology",
year="2007",
publisher="Springer Berlin Heidelberg",
address="Berlin, Heidelberg",
pages="678--691",
isbn="978-3-540-77129-6"
}
@misc{le2018hierarchical,
title={Hierarchical Imitation and Reinforcement Learning},
author={Hoang M. Le and Nan Jiang and Alekh Agarwal and Miroslav Dudík and Yisong Yue and Hal Daumé III au2},
year={2018},
eprint={1803.00590},
archivePrefix={arXiv},
primaryClass={cs.LG}
}
@misc{yu2018oneshot,
title={One-Shot Hierarchical Imitation Learning of Compound Visuomotor Tasks},
author={Tianhe Yu and Pieter Abbeel and Sergey Levine and Chelsea Finn},
year={2018},
eprint={1810.11043},
archivePrefix={arXiv},
primaryClass={cs.LG}
}
@misc{kipf2019compile,
title={CompILE: Compositional Imitation Learning and Execution},
author={Thomas Kipf and Yujia Li and Hanjun Dai and Vinicius Zambaldi and Alvaro Sanchez-Gonzalez and Edward Grefenstette and Pushmeet Kohli and Peter Battaglia},
year={2019},
eprint={1812.01483},
archivePrefix={arXiv},
primaryClass={stat.ML}
}
@misc{stadie2019thirdperson,
title={Third-Person Imitation Learning},
author={Bradly C. Stadie and Pieter Abbeel and Ilya Sutskever},
year={2019},
eprint={1703.01703},
archivePrefix={arXiv},
primaryClass={cs.LG}
}
@misc{jin2020geometric,
title={A Geometric Perspective on Visual Imitation Learning},
author={Jun Jin and Laura Petrich and Masood Dehghan and Martin Jagersand},
year={2020},
eprint={2003.02768},
archivePrefix={arXiv},
primaryClass={cs.RO}
}
@article{attentionHierarchy,
author = {Goga, I. and Billard, Aude},
year = {2006},
month = {01},
pages = {},
title = {Attention mechanisms for the imitation of goal-directed action in developmental robots}
}
@misc{sharma2019thirdperson,
title={Third-Person Visual Imitation Learning via Decoupled Hierarchical Controller},
author={Pratyusha Sharma and Deepak Pathak and Abhinav Gupta},
year={2019},
eprint={1911.09676},
archivePrefix={arXiv},
primaryClass={cs.LG}
}
@inproceedings{wu2020model,
title={Model-based behavioral cloning with future image similarity learning},
author={Wu, Alan and Piergiovanni, AJ and Ryoo, Michael S},
booktitle={Conference on Robot Learning},
pages={1062--1077},
year={2020},
organization={PMLR}
}
@misc{torabi2019recent,
title={Recent Advances in Imitation Learning from Observation},
author={Faraz Torabi and Garrett Warnell and Peter Stone},
year={2019},
eprint={1905.13566},
archivePrefix={arXiv},
primaryClass={cs.RO}
}
@misc{tarnpradab2018extractive,
title={Toward Extractive Summarization of Online Forum Discussions via Hierarchical Attention Networks},
author={Sansiri Tarnpradab and Fei Liu and Kien A. Hua},
year={2018},
eprint={1805.10390},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
@misc{yang2018action,
title={Action Recognition with Spatio-Temporal Visual Attention on Skeleton Image Sequences},
author={Zhengyuan Yang and Yuncheng Li and Jianchao Yang and Jiebo Luo},
year={2018},
eprint={1801.10304},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
@misc{sermanet2018timecontrastive,
title={Time-Contrastive Networks: Self-Supervised Learning from Video},
author={Pierre Sermanet and Corey Lynch and Yevgen Chebotar and Jasmine Hsu and Eric Jang and Stefan Schaal and Sergey Levine},
year={2018},
eprint={1704.06888},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
@misc{sermanet2017unsupervised,
title={Unsupervised Perceptual Rewards for Imitation Learning},
author={Pierre Sermanet and Kelvin Xu and Sergey Levine},
year={2017},
eprint={1612.06699},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
@misc{liu2018imitation,
title={Imitation from Observation: Learning to Imitate Behaviors from Raw Video via Context Translation},
author={YuXuan Liu and Abhishek Gupta and Pieter Abbeel and Sergey Levine},
year={2018},
eprint={1707.03374},
archivePrefix={arXiv},
primaryClass={cs.LG}
}
@misc{finn2017oneshot,
title={One-Shot Visual Imitation Learning via Meta-Learning},
author={Chelsea Finn and Tianhe Yu and Tianhao Zhang and Pieter Abbeel and Sergey Levine},
year={2017},
eprint={1709.04905},
archivePrefix={arXiv},
primaryClass={cs.LG}
}
@misc{edwards2019imitating,
title={Imitating Latent Policies from Observation},
author={Ashley D. Edwards and Himanshu Sahni and Yannick Schroecker and Charles L. Isbell},
year={2019},
eprint={1805.07914},
archivePrefix={arXiv},
primaryClass={cs.LG}
}
@misc{pathak2018zeroshot,
title={Zero-Shot Visual Imitation},
author={Deepak Pathak and Parsa Mahmoudieh and Guanghao Luo and Pulkit Agrawal and Dian Chen and Yide Shentu and Evan Shelhamer and Jitendra Malik and Alexei A. Efros and Trevor Darrell},
year={2018},
eprint={1804.08606},
archivePrefix={arXiv},
primaryClass={cs.LG}
}
@article{ebert2018visual,
title={Visual foresight: Model-based deep reinforcement learning for vision-based robotic control},
author={Ebert, Frederik and Finn, Chelsea and Dasari, Sudeep and Xie, Annie and Lee, Alex and Levine, Sergey},
journal={arXiv preprint arXiv:1812.00568},
year={2018}
}
@article{DQN,
author = {Volodymyr Mnih and
Koray Kavukcuoglu and
David Silver and
Alex Graves and
Ioannis Antonoglou and
Daan Wierstra and
Martin A. Riedmiller},
title = {Playing Atari with Deep Reinforcement Learning},
journal = {CoRR},
volume = {abs/1312.5602},
year = {2013},
url = {http://arxiv.org/abs/1312.5602},
eprinttype = {arXiv},
eprint = {1312.5602},
timestamp = {Mon, 13 Aug 2018 16:47:42 +0200},
biburl = {https://dblp.org/rec/journals/corr/MnihKSGAWR13.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{minerl,
author = {Guss, W. and
Houghton, B. and
Topin, N. and
Wang, P. and
Codel, C. and
Veloso, M. and
Salakhutdinov, R.},
title = {MineRL: A Large-Scale Dataset of Minecraft Demonstrations},
journal = {CoRR},
volume = {abs/1907.13440},
year = {2019},
url = {http://arxiv.org/abs/1907.13440},
eprinttype = {arXiv},
eprint = {1907.13440},
timestamp = {Mon, 13 Aug 2018 16:47:42 +0200},
biburl = {https://dblp.org/rec/journals/corr/GussHTWCVS19.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{minedojo,
author = {Fan, L. and
Wang, G. and
Jiang, Y. and
Mandlekar, A. and
Yang, Y. and
Zhu, H. and
Tang, A. and
Huang, D. and
Zhu, Y. and
Anandkumar, A.},
title = {MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge},
journal = {CoRR},
volume = {abs/2208.xxxxx},
year = {2022},
url = {https://arxiv.org/abs/2208.xxxxx},
eprinttype = {arXiv},
eprint = {2208.xxxxx},
timestamp = {Mon, 13 Aug 2018 16:47:42 +0200},
biburl = {https://dblp.org/rec/journals/corr/FanWJMYZTHZA22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@online{minedojoGithub,
author = {MineDojo},
title = {MineDojo GitHub Repository},
year = {2023},
url = {https://github.com/MineDojo/MineDojo/blob/main/minedojo/sim/Malmo/Minecraft/build.gradle#L70},
}
@article{POMDP,
author = {Hausknecht, M. and
Stone, P.},
title = {Deep Recurrent Q-Learning for Partially Observable MDPs},
journal = {CoRR},
volume = {abs/1507.06527},
year = {2015},
url = {http://arxiv.org/abs/1507.06527},
eprinttype = {arXiv},
eprint = {1507.06527},
timestamp = {Mon, 13 Aug 2018 16:47:42 +0200},
biburl = {https://dblp.org/rec/journals/corr/HausknechtS15.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DuelingDQN,
author = {Wang, Z. and
Freitas, N. and
Lanctot, M.},
title = {Dueling Network Architectures for Deep Reinforcement Learning},
journal = {CoRR},
volume = {abs/1511.06581},
year = {2015},
url = {http://arxiv.org/abs/1511.06581},
eprinttype = {arXiv},
eprint = {1511.06581},
timestamp = {Mon, 13 Aug 2018 16:47:42 +0200},
biburl = {https://dblp.org/rec/journals/corr/WangFL15.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{Rotation,
author = {Zhou, Y. and
Barnes, C. and
Lu, J. and
Yang, J. and
Li, H.},
title = {On the Continuity of Rotation Representations in Neural Networks},
journal = {CoRR},
volume = {abs/1812.07035},
year = {2018},
url = {http://arxiv.org/abs/1812.07035},
eprinttype = {arXiv},
eprint = {1812.07035},
timestamp = {Mon, 13 Aug 2018 16:47:42 +0200},
biburl = {https://dblp.org/rec/journals/corr/ZhouBLYL18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@misc{hausknecht2017deep,
title={Deep Recurrent Q-Learning for Partially Observable MDPs},
author={Matthew Hausknecht and Peter Stone},
year={2017},
eprint={1507.06527},
archivePrefix={arXiv},
primaryClass={cs.LG}
}
@article{stable-baselines3,
author = {Antonin Raffin and Ashley Hill and Adam Gleave and Anssi Kanervisto and Maximilian Ernestus and Noah Dormann},
title = {Stable-Baselines3: Reliable Reinforcement Learning Implementations},
journal = {Journal of Machine Learning Research},
year = {2021},
volume = {22},
number = {268},
pages = {1-8},
url = {http://jmlr.org/papers/v22/20-1364.html}
}
@misc{towers_gymnasium_2023,
title = {Gymnasium},
url = {https://zenodo.org/record/8127025},
abstract = {An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)},
urldate = {2023-07-08},
publisher = {Zenodo},
author = {Towers, Mark and Terry, Jordan K. and Kwiatkowski, Ariel and Balis, John U. and Cola, Gianluca de and Deleu, Tristan and Goulão, Manuel and Kallinteris, Andreas and KG, Arjun and Krimmel, Markus and Perez-Vicente, Rodrigo and Pierré, Andrea and Schulhoff, Sander and Tai, Jun Jet and Shen, Andrew Tan Jin and Younis, Omar G.},
month = mar,
year = {2023},
doi = {10.5281/zenodo.8127026},
}
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