Zhenzhong Lan

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Alex HauptmannCarnegie Mellon UniversityPatvirtintas el. paštas cs.cmu.edu
Shoou-I YuResearch Scientist, Facebook Reality LabsPatvirtintas el. paštas oculus.com
Lu JiangResearch Scientist, TikTok & Adjunct Faculty, CMUPatvirtintas el. paštas cs.cmu.edu
Bhiksha RajCarnegie Mellon UniversityPatvirtintas el. paštas cs.cmu.edu
Yi YangZhejiang UniversityPatvirtintas el. paštas zju.edu.cn
Huachuan QiuPh.D. student, Zhejiang UniversityPatvirtintas el. paštas zju.edu.cn
Anqi LiWestlake UniversityPatvirtintas el. paštas westlake.edu.cn
Deyu MengProfessor, Xi'an Jiaotong UniversityPatvirtintas el. paštas mail.xjtu.edu.cn
Hongliang HePh.D. student, Zhejiang UniversityPatvirtintas el. paštas westlake.edu.cn
Yi ZhuBoson AIPatvirtintas el. paštas ucmerced.edu
Shawn NewsamUniversity of California, MercedPatvirtintas el. paštas ucmerced.edu
Radu SoricutDistinguished Scientist at GooglePatvirtintas el. paštas google.com
Wei LiuAI/ML Research Scientist at ApplePatvirtintas el. paštas apple.com
Nan DingGooglePatvirtintas el. paštas google.com
Lei BaoInstitute of Computing TechnologyPatvirtintas el. paštas ict.ac.cn
Shiguang ShanProfessor of Institute of Computing Technology, Chinese Academy of SciencesPatvirtintas el. paštas ict.ac.cn
Florian MetzeCarnegie Mellon University; Meta AIPatvirtintas el. paštas andrew.cmu.edu
Noam ShazeerCharacter.aiPatvirtintas el. paštas character.ai
Zexi MaoCarnegie Mellon University, JetlorePatvirtintas el. paštas jetlore.com
Ming LinAlibaba GroupPatvirtintas el. paštas alibaba-inc.com

Stebėti

Zhenzhong Lan

School of Engineering, Westlake University

Patvirtintas el. paštas westlake.edu.cn - Pagrindinis puslapis

NLP Computer Vision Multimedia


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Albert: A lite bert for self-supervised learning of language representations Z Lan, M Chen, S Goodman, K Gimpel, P Sharma, R Soricut ICLR 2020, 2020	7649	2020
Self-paced learning with diversity L Jiang, D Meng, SI Yu, Z Lan, S Shan, A Hauptmann Advances in neural information processing systems 27, 2014	421	2014
Hidden two-stream convolutional networks for action recognition Y Zhu, Z Lan, S Newsam, A Hauptmann Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019	377	2019
Beyond gaussian pyramid: Multi-skip feature stacking for action recognition Z Lan, M Lin, X Li, AG Hauptmann, B Raj Computer Vision and Pattern Recognition (CVPR), 2015 IEEE Conference on, 2015	356	2015
Joint segmentation and classification of human actions in video M Hoai, ZZ Lan, F De la Torre CVPR 2011, 3265-3272, 2011	340	2011
CLUE: A Chinese language understanding evaluation benchmark L Xu, H Hu, X Zhang, L Li, C Cao, Y Li, Y Xu, K Sun, D Yu, C Yu, Y Tian, ... arXiv preprint arXiv:2004.05986, 2020	330	2020
Deep local video feature for action recognition Z Lan, Y Zhu, AG Hauptmann, S Newsam Proceedings of the IEEE conference on computer vision and pattern …, 2017	157	2017
Multimedia classification and event detection using double fusion Z Lan, L Bao, SI Yu, W Liu, AG Hauptmann Multimedia tools and applications 71, 333-347, 2014	121	2014
Viral video style: A closer look at viral videos on youtube L Jiang, Y Miao, Y Yang, Z Lan, AG Hauptmann Proceedings of International Conference on Multimedia Retrieval, 193-200, 2014	100	2014
Double fusion for multimedia event detection Z Lan, L Bao, SI Yu, W Liu, AG Hauptmann Advances in Multimedia Modeling: 18th International Conference, MMM 2012 …, 2012	96	2012
Do transformer modifications transfer across implementations and applications? S Narang, HW Chung, Y Tay, W Fedus, T Fevry, M Matena, K Malkan, ... arXiv preprint arXiv:2102.11972, 2021	94	2021
Air-to-air visual detection of micro-uavs: An experimental evaluation of deep learning Y Zheng, Z Chen, D Lv, Z Li, Z Lan, S Zhao IEEE Robotics and automation letters 6 (2), 1020-1027, 2021	86	2021
Talking-heads attention N Shazeer, Z Lan, Y Cheng, N Ding, L Hou arXiv preprint arXiv:2003.02436, 2020	70	2020
Training binary multilayer neural networks for image classification using expectation backpropagation Z Cheng, D Soudry, Z Mao, Z Lan arXiv preprint arXiv:1503.03562, 2015	63	2015
Guided optical flow learning Y Zhu, Z Lan, S Newsam, AG Hauptmann arXiv preprint arXiv:1702.02295, 2017	59	2017
Dynamic resolution network M Zhu, K Han, E Wu, Q Zhang, Y Nie, Z Lan, Y Wang Advances in Neural Information Processing Systems 34, 27319-27330, 2021	52	2021
Space-time robust representation for action recognition N Ballas, Y Yang, ZZ Lan, B Delezoide, F Prêteux, A Hauptmann Proceedings of the IEEE International Conference on Computer Vision, 2704-2711, 2013	49	2013
Extending semi-supervised learning methods for inductive transfer learning Y Shi, Z Lan, W Liu, W Bi 2009 Ninth IEEE international conference on data mining, 483-492, 2009	47	2009
Informedia@ TrecVID 2014: MED and MER SI Yu, L Jiang, Z Xu, Z Lan, S Xu, X Chang, X Li, Z Mao, C Gan, Y Miao, ... TREC Video Retrieval Evaluation 2014, 2014	44	2014
Latent jailbreak: A benchmark for evaluating text safety and output robustness of large language models H Qiu, S Zhang, A Li, H He, Z Lan arXiv preprint arXiv:2307.08487, 2023	39	2023

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