Seguir
Yan Tong
Yan Tong
Professor of Computer Science and Engineering, University of South Carolina
Dirección de correo verificada de mailbox.sc.edu
Título
Citado por
Citado por
Año
Facial expression recognition via a boosted deep belief network
P Liu, S Han, Z Meng, Y Tong
Proceedings of the IEEE conference on computer vision and pattern …, 2014
8132014
Facial action unit recognition by exploiting their dynamic and semantic relationships
Y Tong, W Liao, Q Ji
IEEE transactions on pattern analysis and machine intelligence 29 (10), 1683 …, 2007
4772007
Identity-aware convolutional neural network for facial expression recognition
Z Meng, P Liu, J Cai, S Han, Y Tong
2017 12th IEEE International Conference on Automatic Face & Gesture …, 2017
3562017
Island loss for learning discriminative features in facial expression recognition
J Cai, Z Meng, AS Khan, Z Li, J O'Reilly, Y Tong
2018 13th IEEE International Conference on Automatic Face & Gesture …, 2018
3222018
A Unified Probabilistic Framework for Facial Activity Modeling and Understanding
QJ Yan Tong, Wenhui Liao, Zheng Xue
IEEE Conference on Computer Vision and Pattern Recognition, 2007
191*2007
Robust facial feature tracking under varying face pose and facial expression
Y Tong, Y Wang, Z Zhu, Q Ji
Pattern Recognition 40 (11), 3195-3208, 2007
1482007
Incremental boosting convolutional neural network for facial action unit recognition
S Han, Z Meng, AS Khan, Y Tong
Advances in neural information processing systems 29, 2016
1312016
A robust 3D eye gaze tracking system using noise reduction
J Chen, Y Tong, W Gray, Q Ji
Proceedings of the 2008 symposium on Eye tracking research & applications …, 2008
1172008
Identity-free facial expression recognition using conditional generative adversarial network
J Cai, Z Meng, AS Khan, J O’Reilly, Z Li, S Han, Y Tong
2021 IEEE International Conference on Image Processing (ICIP), 1344-1348, 2021
952021
Detecting small signs from large images
Z Meng, X Fan, X Chen, M Chen, Y Tong
2017 IEEE International Conference on Information Reuse and Integration (IRI …, 2017
782017
Optimizing filter size in convolutional neural networks for facial action unit recognition
S Han, Z Meng, Z Li, J O'Reilly, J Cai, X Wang, Y Tong
Proceedings of the IEEE conference on computer vision and pattern …, 2018
752018
Feature disentangling machine-a novel approach of feature selection and disentangling in facial expression analysis
P Liu, JT Zhou, IWH Tsang, Z Meng, S Han, Y Tong
Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014
752014
Supercapillary architecture‐activated two‐phase boundary layer structures for highly stable and efficient flow boiling heat transfer
W Li, Z Wang, F Yang, T Alam, M Jiang, X Qu, F Kong, AS Khan, M Liu, ...
Advanced materials 32 (2), 1905117, 2020
642020
Learning bayesian networks with qualitative constraints
Y Tong, Q Ji
2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008
582008
Constrained maximum likelihood learning of Bayesian networks for facial action recognition
CP De Campos, Y Tong, Q Ji
Computer Vision–ECCV 2008: 10th European Conference on Computer Vision …, 2008
552008
Active image labeling and its application to facial action labeling
L Zhang, Y Tong, Q Ji
Computer Vision–ECCV 2008: 10th European Conference on Computer Vision …, 2008
492008
Automatic facial landmark labeling with minimal supervision
Y Tong, X Liu, FW Wheeler, P Tu
2009 IEEE Conference on Computer Vision and Pattern Recognition, 2097-2104, 2009
472009
Inferring facial action units with causal relations
Y Tong, W Liao, Q Ji
2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006
462006
Visual-attention-based background modeling for detecting infrequently moving objects
Y Lin, Y Tong, Y Cao, Y Zhou, S Wang
IEEE Transactions on Circuits and Systems for Video Technology 27 (6), 1208-1221, 2016
442016
Generalized machine learning technique for automatic phase attribution in time variant high-throughput experimental studies
JK Bunn, S Han, Y Zhang, Y Tong, J Hu, JR Hattrick-Simpers
Journal of Materials Research 30 (7), 879-889, 2015
442015
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20