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Huijuan Xu
Huijuan Xu
Assistant Professor, CSE Dept., Pennsylvania State University
Bestätigte E-Mail-Adresse bei psu.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
10522014
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
8202016
R-C3D: Region convolutional 3d network for temporal activity detection
H Xu, A Das, K Saenko
International Conference on Computer Vision (ICCV2017), 2017
7022017
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
302*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
237*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
962020
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
702019
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
682020
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
662015
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
612019
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
592018
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
492019
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
47*2021
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
272019
TwoStreamVAN: Improving Motion Modeling in Video Generation
X Sun, H Xu, K Saenko
The IEEE Winter Conference on Applications of Computer Vision (WACV2020 …, 2020
20*2020
Contextual multi-scale region convolutional 3d network for activity detection
Y Bai, H Xu, K Saenko, B Ghanem
arXiv preprint arXiv:1801.09184, 2018
182018
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
182013
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
162020
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
16*2020
Dual Attention Network for Visual Question Answering
H Xu, K Saenko
ECCV2016 2nd Workshop on Storytelling with Images and Videos (VisStory), 2016
102016
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