Wenjie Pei
Wenjie Pei
Assistant professor, Harbin Institute of Technology (Shenzhen); Delft University of Technology
Verified email at hit.edu.cn - Homepage
Cited by
Cited by
Temporal attention-gated model for robust sequence classification
W Pei, T Baltrušaitis, DMJ Tax, LP Morency
Computer Vision and Pattern Recognition (CVPR), 2017 IEEE Conference on, 820-829, 2017
Memory-Attended Recurrent Network for Video Captioning
W Pei, J Zhang, X Wang, L Ke, X Shen, YW Tai
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 …, 2019
Multivariate time-series classification using the hidden-unit logistic model
W Pei, H Dibeklioğlu, DMJ Tax, L van der Maaten
IEEE Transactions on Neural Networks and Learning Systems (TNNLS) 29 (4 …, 2018
Interacting Attention-gated Recurrent Networks for Recommendation
W Pei#, J Yang#, Z Sun, J Zhang, A Bozzon, DMJ Tax
CIKM '17 Proceedings of the 2017 ACM on Conference on Information and …, 2017
Modeling Time Series Similarity with Siamese Recurrent Networks
W Pei, DMJ Tax, L van der Maaten
http://arxiv.org/abs/1603.04713, 2016
Attended end-to-end architecture for age estimation from facial expression videos
W Pei, H Dibeklioğlu, T Baltrušaitis, DMJ Tax
IEEE Transactions on Image Processing 29, 1972-1984, 2020
Output-coherent image-space lic for surface flow visualization
J Huang, W Pei, C Wen, G Chen, W Chen, H Bao
2012 IEEE Pacific Visualization Symposium, 137-144, 2012
Reflective Decoding Network for Image Captioning
L Ke, W Pei, R Li, X Shen, YW Tai
IEEE International Conference on Computer Vision (ICCV), 8888-8897, 2019
Controllable highly regular triangulation
J Huang, MY Zhang, WJ Pei, W Hua, HJ Bao
Science China Information Sciences 54 (6), 1172-1183, 2011
Non-local Recurrent Neural Memory for Supervised Sequence Modeling
C Fu#, W Pei#, Q Cao, C Zhang, Y Zhao, X Shen, YW Tai
IEEE International Conference on Computer Vision (ICCV), 6311-6320, 2019
Mining top-k largest tiles in a data stream
HT Lam, W Pei, A Prado, B Jeudy, É Fromont
(ECML PKDD) Joint European Conference on Machine Learning and Knowledge …, 2014
CPGAN: Content-Parsing Generative Adversarial Networks for Text-to-Image Synthesis
J Liang#, W Pei#, F Lu
European conference on computer vision (ECCV), 2020
Models for Supervised Learning on Sequence Data
W Pei
PhD thesis. doi:10.4233/uuid:fff15717-71ec-402d-96e6-773884659f2c, 2018
Commonality-Parsing Network across Shape and Appearance for Partially Supervised Instance Segmentation
Q Fan, L Ke, W Pei*, CK Tang, YW Tai
European conference on computer vision (ECCV), 2020
Push for Center Learning via Orthogonalization and Subspace Masking for Person Re-Identification
W Wang, W Pei*, Q Cao, S Liu, G Lu, YW Tai
IEEE Transactions on Image Processing 30, 907-920, 2021
Push for Quantization: Deep Fisher Hashing
Y Li#, W Pei#, J van Gemert
The British Machine Vision Conference (BMVC), 2019, 2019
Unsupervised Learning of Sequence Representations by Autoencoders
W Pei, DMJ Tax
arXiv:1804.00946, 2018
SiamCorners: Siamese Corner Networks for Visual Tracking
K Yang, Z He*, W Pei*, Z Zhou, X Li, D Yuan, H Zhang
IEEE Transactions on Multimedia, 2021
Deep-Masking Generative Network: A Unified Framework for Background Restoration from Superimposed Images
X Feng, W Pei*, Z Jia, F Chen, D Zhang, G Lu*
IEEE Transactions on Image Processing (TIP), 2021
SRHEN: Stepwise-Refining Homography Estimation Network via Parsing Geometric Correspondences in Deep Latent Space
Y Li, W Pei*, Z He*
Proceedings of the 28th ACM International Conference on Multimedia (ACM MM …, 2020
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