Lu Jiang

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Alex HauptmannCarnegie Mellon UniversityVerified email at cs.cmu.edu
Deyu MengProfessor, Xi'an Jiaotong UniversityVerified email at mail.xjtu.edu.cn
Yi YangZhejiang UniversityVerified email at zju.edu.cn
Li-Jia LiAdjunct Professor, School of Medicine, Stanford UniversityVerified email at cs.stanford.edu
Li Fei-FeiProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Teruko MitamuraResearch Professor of Language Technologies Institute, School of Computer Science, Carnegie MellonVerified email at cs.cmu.edu
Ming-Hsuan YangUniversity of California at Merced; GoogleVerified email at ucmerced.edu
Shiguang ShanProfessor of Institute of Computing Technology, Chinese Academy of SciencesVerified email at ict.ac.cn
Thomas LeungGoogle IncVerified email at google.com
Juan Carlos NieblesResearch Director (Salesforce) & Adjunct Professor (Stanford University)Verified email at cs.stanford.edu
Liangliang CaoGoogle IncVerified email at google.com
Kevin MurphyResearch Scientist, GoogleVerified email at google.com
Irfan EssaDistinguished Professor of Computing, Georgia Tech / Research Scientist, GoogleVerified email at gatech.edu
Mahadev SatyanarayananCarnegie Group University Professor of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Qian FengBaidu X-LabVerified email at baidu.com
Jia DengPrinceton UniversityVerified email at cs.princeton.edu

Lu Jiang

Research Scientist, Google & Adjunct Professor, CMU

Verified email at cs.cmu.edu - Homepage

Robust Deep Learning Multimedia Curriculum Learning Video Understanding


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Mentornet: Learning data-driven curriculum for very deep neural networks on corrupted labels L Jiang, Z Zhou, T Leung, LJ Li, L Fei-Fei ICML, 2018	834	2018
Contrastive Adaptation Network for Unsupervised Domain Adaptation G Kang, L Jiang, Y Yang, AG Hauptmann CVPR, 2019	412	2019
Self-paced curriculum learning L Jiang, D Meng, Q Zhao, S Shan, A Hauptmann AAAI, 2015	410	2015
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	323	2014
Easy samples first: Self-paced reranking for zero-example multimedia search L Jiang, D Meng, T Mitamura, AG Hauptmann ACM international conference on Multimedia, 2014	254	2014
Peeking into the Future: Predicting Future Person Activities and Locations in Videos J Liang, L Jiang, JC Niebles, A Hauptmann, L Fei-Fei CVPR, 2019	234	2019
Confident learning: Estimating uncertainty in dataset labels C Northcutt, L Jiang, I Chuang Journal of Artificial Intelligence Research 70, 1373-1411, 2021	172	2021
Eidetic 3D LSTM: A Model for Video Prediction and Beyond Y Wang, L Jiang, MH Yang, LJ Li, M Long, L Fei-Fei ICLR, 2019	168	2019
A theoretical understanding of self-paced learning D Meng, Q Zhao, L Jiang Information Sciences 414, 319-328, 2017	162*	2017
Robust Neural Machine Translation with Doubly Adversarial Inputs Y Cheng, L Jiang, W Macherey ACL, 2019	151	2019
Self-paced learning for matrix factorization Q Zhao, D Meng, L Jiang, Q Xie, Z Xu, A Hauptmann AAAI, 2015	137	2015
Composing Text and Image for Image Retrieval-An Empirical Odyssey N Vo, L Jiang, C Sun, K Murphy, LJ Li, L Fei-Fei, J Hays CVPR, 2019	134	2019
Revealing event saliency in unconstrained video collection D Zhang, J Han, L Jiang, S Ye, X Chang IEEE Transactions on Image Processing 26 (4), 1746-1758, 2017	122	2017
A self-paced multiple-instance learning framework for co-saliency detection D Zhang, D Meng, C Li, L Jiang, Q Zhao, J Han Proceedings of the IEEE international conference on computer vision, 594-602, 2015	115	2015
Focal visual-text attention for visual question answering J Liang, L Jiang, L Cao, LJ Li, AG Hauptmann Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018	87	2018
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	82	2014
Leveraging high-level and low-level features for multimedia event detection L Jiang, AG Hauptmann, G Xiang Proceedings of the 20th ACM international conference on Multimedia, 449-458, 2012	81	2012
Beyond Synthetic Noise: Deep Learning on Controlled Noisy Labels L Jiang, D Huang, L Mason, W Yang ICML, 2020	79	2020
Bridging the ultimate semantic gap: A semantic search engine for internet videos L Jiang, SI Yu, D Meng, T Mitamura, AG Hauptmann Proceedings of the 5th ACM on International Conference on Multimedia …, 2015	79*	2015
Graph Distillation for Action Detection with Privileged Modalities Z Luo, JT Hsieh, L Jiang, JC Niebles, L Fei-Fei ECCV, 2018	78	2018

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