Huijuan Xu

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Kate SaenkoBoston UniversityAdresse e-mail validée de bu.edu
Trevor DarrellProfessor of Computer Science, U.C. BerkeleyAdresse e-mail validée de eecs.berkeley.edu
Abir DasAssistant Professor at IIT KharagpurAdresse e-mail validée de cse.iitkgp.ac.in
Xiaolong WangAssistant Professor, UC San DiegoAdresse e-mail validée de ucsd.edu
Subhashini VenugopalanUniversity of Texas at AustinAdresse e-mail validée de cs.utexas.edu
Leonid SigalProfessor, University of British ColumbiaAdresse e-mail validée de cs.ubc.ca
Stan SclaroffDean of Arts & Sciences, Professor of Computer Science, Boston UniversityAdresse e-mail validée de bu.edu
Kun HeResearch Scientist, Reality Labs @ MetaAdresse e-mail validée de meta.com
Baifeng ShiPhD, UC BerkeleyAdresse e-mail validée de berkeley.edu
Ximeng SunResearch Scientist, AMDAdresse e-mail validée de bu.edu
Zhekun LuoApple Inc.Adresse e-mail validée de berkeley.edu
Devin GuilloryUC BerkeleyAdresse e-mail validée de berkeley.edu
Vasili RamanishkaSamsung Research AmericaAdresse e-mail validée de bu.edu
Judy HoffmanAssistant Professor, Georgia TechAdresse e-mail validée de gatech.edu
Boyang "Albert" LiNanyang Associate Professor, Nanyang Technological UniversityAdresse e-mail validée de ntu.edu.sg
Yancheng BaiKASUT/ISCASAdresse e-mail validée de kaust.edu.sa
Li, ZhiUniversity of California, BerkeleyAdresse e-mail validée de berkeley.edu
Lizhi YangCalifornia Institute of TechnologyAdresse e-mail validée de caltech.edu
Guorong LiUniversity of Chinese Academy of SciencesAdresse e-mail validée de ucas.ac.cn

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Huijuan Xu

Assistant Professor, CSE Dept., Pennsylvania State University

Adresse e-mail validée de psu.edu - Page d'accueil

Computer Vision Deep Learning Natural Language Processing Action Understanding


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Translating videos to natural language using deep recurrent neural networks S Venugopalan, H Xu, J Donahue, M Rohrbach, R Mooney, K Saenko Proceedings of the 2015 Conference of the North American Chapter of the …, 2014	1254	2014
Ask, attend and answer: Exploring question-guided spatial attention for visual question answering H Xu, K Saenko European Conference on Computer Vision (ECCV2016), 451-466, 2016	953	2016
R-C3D: Region convolutional 3d network for temporal activity detection H Xu, A Das, K Saenko International Conference on Computer Vision (ICCV2017), 2017	918	2017
Meta-baseline: Exploring simple meta-learning for few-shot learning Y Chen, Z Liu, H Xu, T Darrell, X Wang Proceedings of the IEEE/CVF international conference on computer vision …, 2021	728*	2021
Multilevel Language and Vision Integration for Text-to-Clip Retrieval H Xu, K He, BA Plummer, L Sigal, S Sclaroff, K Saenko Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-2019), 2018	374*	2018
Something-else: Compositional action recognition with spatial-temporal interaction networks J Materzynska, T Xiao, R Herzig, H Xu, X Wang, T Darrell* IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR2020 …, 2020	211	2020
Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning Z Luo, D Guillory, B Shi, W Ke, F Wan, T Darrell, H Xu European Conference on Computer Vision (ECCV2020), 2020	145	2020
Learning canonical representations for scene graph to image generation R Herzig, A Bar, H Xu, G Chechik, T Darrell, A Globerson European Conference on Computer Vision (ECCV2020), 2019	113	2019
Spatio-temporal action graph networks R Herzig, E Levi, H Xu*, H Gao, E Brosh, X Wang, A Globerson, ... Proceedings of the IEEE International Conference on Computer Vision …, 2019	108	2019
Logan: Latent graph co-attention network for weakly-supervised video moment retrieval R Tan, H Xu, K Saenko, BA Plummer Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021	106*	2021
Learning instance activation maps for weakly supervised instance segmentation Y Zhu, Y Zhou, H Xu, Q Ye, D Doermann, J Jiao IEEE Conference on Computer Vision and Pattern Recognition (CVPR2019), 3116-3125, 2019	92	2019
Joint Event Detection and Description in Continuous Video Streams H Xu, B Li, V Ramanishka, L Sigal, K Saenko IEEE Winter Conference on Applications of Computer Vision (WACV2019), 2018	77	2018
A multi-scale multiple instance video description network H Xu, S Venugopalan, V Ramanishka, M Rohrbach, K Saenko ICCV15: first workshop on Closing the Loop Between Vision and Language, 2015	70	2015
Two-stream region convolutional 3d network for temporal activity detection H Xu, A Das, K Saenko IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019., 2019	50	2019
Auxiliary Task Reweighting for Minimum-data Learning B Shi, J Hoffman, K Saenko, T Darrell, H Xu Advances in neural information processing systems (NeurIPS2020), 2020	39	2020
TwoStreamVAN: Improving Motion Modeling in Video Generation X Sun, H Xu, K Saenko The IEEE Winter Conference on Applications of Computer Vision (WACV2020 …, 2020	34*	2020
Revisiting few-shot activity detection with class similarity control H Xu, X Sun, E Tzeng, A Das, K Saenko, T Darrell arXiv preprint arXiv:2004.00137, 2020	23*	2020
Poison identification based on Bayesian network: A novel improvement on K2 algorithm via Markov Blanket J Jiang, J Wang, H Yu, H Xu Advances in Swarm Intelligence: 4th International Conference, ICSI 2013 …, 2013	22	2013
Contextual multi-scale region convolutional 3d network for activity detection Y Bai, H Xu, K Saenko, B Ghanem arXiv preprint arXiv:1801.09184, 2018	21	2018
Weakly-Supervised Temporal Action Detection for Fine-Grained Videos with Hierarchical Atomic Actions Z Li, L He, H Xu European Conference on Computer Vision (ECCV2022), 2022	17	2022

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