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Peng Dai
Peng Dai
Noah's Ark Lab, CRC Canada
Verified email at ieee.org - Homepage
Title
Cited by
Cited by
Year
Class semantics-based attention for action detection
D Sridhar, N Quader, S Muralidharan, Y Li, P Dai, J Lu
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
552021
Boosting the generalization capability in cross-domain few-shot learning via noise-enhanced supervised autoencoder
H Liang, Q Zhang, P Dai, J Lu
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
472021
Intelligent video interaction method
B Sekar, J Lu, P Dai, W Li, J Xu
US Patent 10,979,761, 2019
342019
Weight Excitation: Built-in Attention Mechanisms in Convolutional Neural Networks
N Quader, MMI Bhuiyan, J Lu, P Dai, W Li
European Conference on Computer Vision (ECCV), 2020
262020
Deep connected attention (DCA) ResNet for robust voice pathology detection and classification
H Ding, Z Gu, P Dai, Z Zhou, L Wang, X Wu
Biomedical Signal Processing and Control 70, 102973, 2021
212021
Healthy cognitive aging: a hybrid random vector functional-link model for the analysis of Alzheimer’s disease
P Dai, F Gwadry-Sridhar, M Bauer, M Borrie, X Teng
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
212017
Self-supervised Spatiotemporal Representation Learning by Exploiting Video Continuity
H Liang, N Quader, Z Chi, L Chen, P Dai, J Lu, Y Wang
36th AAAI Conference on Artificial Intelligence, 2022
202022
Sequential behavior prediction based on hybrid similarity and cross-user activity transfer
P Dai, SS Ho, F Rudzicz
Knowledge-Based Systems 77, 29-39, 2015
192015
Manifold Learning for Multivariate Variable-length Sequences with an Application to Similarity Search
SS Ho, P Dai, F Rudzicz
IEEE Transactions on Neural Networks and Learning Systems, 2015
172015
Two-Phase Flow Regime Identification Based on Cross-Entropy and Information Extension Methods for Computerized Tomography
Q Wang, H Wang, K Hao, P Dai
Instrumentation and Measurement, IEEE Transactions on, 1-8, 2011
172011
Bagging Ensembles for the Diagnosis and Prognostication of Alzheimer’s Disease
P Dai, F Gwadry-Sridhar, M Bauer, M Borrie
the Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16), 2016
162016
Clipping: Distilling clip-based models with a student base for video-language retrieval
R Pei, J Liu, W Li, B Shao, S Xu, P Dai, J Lu, Y Yan
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
132023
A temporal warped 2D psychoacoustic modeling for robust speech recognition system
P Dai, Y Soon
Speech Communication 53 (2), 229-241, 2011
122011
Semi-supervised hybrid clustering/classification system
P Dai, J Lu, B Sekar, W Li, J Xu, R Li
US Patent 11,023,710, 2021
102021
Towards Efficient Coarse-to-Fine Networks for Action and Gesture Recognition
N Quader, J Lu, P Dai, W Li
16th European Conference on Computer Vision (ECCV), 2020
102020
An improved model of masking effects for robust speech recognition system
P Dai, IY Soon
Speech Communication 55 (3), 387–396, 2013
102013
Dual Perspective Network for Audio Visual Event Localization
V Rao, MI Khalil, H Li, P Dai, J Lu
European Conference on Computer Vision (ECCV), 2022
92022
A hybrid manifold learning algorithm for the diagnosis and prognostication of Alzheimer’s disease
P Dai, F Gwadry-Sridhar, M Bauer, M Borrie
AMIA 2015 Annual Symposium, 2015
92015
Objective measures for quality assessment of noise-suppressed speech
H Ding, T Lee, Y Soon, CK Yeo, P Dai, G Dan
Speech Communication 71, 62-73, 2015
92015
Methods and systems for managing image collection
J Lu, SM Siam, P Dai, W Li, J Tang
US Patent App. 16/722,363, 2021
82021
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