Xitong YANG
Xitong YANG
Graduate student of Computer Science, Univerisity of Maryland, College Park
Verified email at cs.umd.edu - Homepage
Cited by
Cited by
Towards Perceptual Image Dehazing by Physics-based Disentanglement and Adversarial Training
X Yang, Z Xu, J Luo
AAAI Conference on Artificial Intelligence (AAAI), 2018
Deep multimodal representation learning from temporal data
X Yang, P Ramesh, R Chitta, S Madhvanath, EA Bernal, J Luo
Proceedings of the IEEE conference on computer vision and pattern …, 2017
STEP: Spatio-Temporal Progressive Learning for Video Action Detection
X Yang, X Yang, MY Liu, F Xiao, L Davis, J Kautz
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
Cross-X learning for fine-grained visual categorization
W Luo, X Yang, X Mo, Y Lu, LS Davis, J Li, J Yang, SN Lim
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
Tracking Illicit Drug Dealing and Abuse on Instagram Using Multimodal Analysis
X Yang, J Luo
ACM Transactions on Intelligent Systems and Technology (TIST) 8 (4), 2017
Deep temporal multimodal fusion for medical procedure monitoring using wearable sensors
EA Bernal, X Yang, Q Li, J Kumar, S Madhvanath, P Ramesh, R Bala
IEEE Transactions on Multimedia 20 (1), 107-118, 2017
Pinterest board recommendation for twitter users
X Yang, Y Li, J Luo
Proceedings of the 23rd ACM international conference on Multimedia, 963-966, 2015
Temporal fusion of multimodal data from multiple data acquisition systems to automatically recognize and classify an action
X Yang, EA Bernal, S Madhvanath, R Bala, PS Ramesh, Q Li, J Kumar
US Patent 9,805,255, 2017
Strong Baseline for Single Image Dehazing with Deep Features and Instance Normalization.
Z Xu, X Yang, X Li, X Sun, P Harbin
BMVC 2 (3), 5, 2018
Understanding the variational lower bound
X Yang
Tech. Rep, 2017
Semantic video entity linking based on visual content and metadata
Y Li, X Yang, J Luo
Proceedings of the IEEE International Conference on Computer Vision, 4615-4623, 2015
Iterative spatio-temporal action detection in video
X Yang, X Yang, X Fanyi, MY Liu, J Kautz
US Patent App. 16/152,303, 2019
The effectiveness of instance normalization: a strong baseline for single image dehazing
Z Xu, X Yang, X Li, X Sun
arXiv preprint arXiv:1805.03305, 2018
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
Z Zheng, X Yang, Z Yu, L Zheng, Y Yang, J Kautz
Two stream self-supervised learning for action recognition
A Taha, M Meshry, X Yang, YT Chen, L Davis
arXiv preprint arXiv:1806.07383, 2018
An interactive greedy approach to group sparsity in high dimensions
W Qian, W Li, Y Sogawa, R Fujimaki, X Yang, J Liu
Technometrics 61 (3), 409-421, 2019
Exploring uncertainty in conditional multi-modal retrieval systems
A Taha, YT Chen, X Yang, T Misu, L Davis
arXiv preprint arXiv:1901.07702, 2019
Hierarchical Contrastive Motion Learning for Video Action Recognition
X Yang, X Yang, S Liu, D Sun, L Davis, J Kautz
arXiv preprint arXiv:2007.10321, 2020
A Generic Visualization Approach for Convolutional Neural Networks
A Taha, X Yang, A Shrivastava, L Davis
arXiv preprint arXiv:2007.09748, 2020
Beyond Short Clips: End-to-End Video-Level Learning with Collaborative Memories
X Yang, H Fan, L Torresani, L Davis, H Wang
arXiv preprint arXiv:2104.01198, 2021
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