Huijuan Xu
Huijuan Xu
Postdoc, EECS Dept., UC Berkeley
Verified email at - Homepage
Cited by
Cited by
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
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
R-C3D: Region convolutional 3d network for temporal activity detection
H Xu, A Das, K Saenko
International Conference on Computer Vision (ICCV2017), 2017
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
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
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
Spatio-temporal action graph networks
R Herzig, E Levi, H Xu, H Gao, E Brosh, X Wang, A Globerson, T Darrell
Proceedings of the IEEE International Conference on Computer Vision …, 2019
TwoStreamVAN: Improving Motion Modeling in Video Generation
X Sun, H Xu, K Saenko
The IEEE Winter Conference on Applications of Computer Vision, 2744-2753, 2020
Poison identification based on Bayesian network: a novel improvement on K2 algorithm via markov blanket
J Jiang, J Wang, H Yu, H Xu
International Conference in Swarm Intelligence, 173-182, 2013
Learning instance activation maps for weakly supervised instance segmentation
Y Zhu, Y Zhou, H Xu, Q Ye, D Doermann, J Jiao
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
Contextual multi-scale region convolutional 3d network for activity detection
Y Bai, H Xu, K Saenko, B Ghanem
arXiv preprint arXiv:1801.09184, 2018
wman: Weakly-supervised moment alignment network for text-based video segment retrieval
R Tan, H Xu, K Saenko, BA Plummer
arXiv preprint arXiv:1909.13784, 2019
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
Something-Else: Compositional Action Recognition with Spatial-Temporal Interaction Networks
J Materzynska, T Xiao, R Herzig, H Xu, X Wang, T Darrell
arXiv preprint arXiv:1912.09930, 2019
Learning Canonical Representations for Scene Graph to Image Generation
R Herzig, A Bar, H Xu, G Chechik, T Darrell, A Globerson
arXiv preprint arXiv:1912.07414, 2019
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
Edge guided generation network for video prediction
K Xu, G Li, H Xu, W Zhang, Q Huang
2018 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2018
Dual Attention Network for Visual Question Answering
H Xu, K Saenko
ECCV2016 2nd Workshop on Storytelling with Images and Videos (VisStory), 2016
A new meta-baseline for few-shot learning
Y Chen, X Wang, Z Liu, H Xu, T Darrell
arXiv preprint arXiv:2003.04390, 2020
Poison Identification Based on Bayesian Method in Biochemical Terrorism Attacks
H Xu, H Yu, J Wang
Advanced Science Letters 9 (1), 222-226, 2012
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