| 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 | 49 | 2021 |
| 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 | 40 | 2021 |
| Intelligent video interaction method B Sekar, J Lu, P Dai, W Li, J Xu US Patent 10,979,761, 2019 | 27 | 2019 |
| 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 | 21 | 2020 |
| 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 | 19 | 2021 |
| 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 | 19 | 2017 |
| 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 | 19 | 2015 |
| 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 | 17 | 2022 |
| 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 | 17 | 2015 |
| 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 | 17 | 2011 |
| 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 | 16 | 2016 |
| A temporal warped 2D psychoacoustic modeling for robust speech recognition system P Dai, Y Soon Speech Communication 53 (2), 229-241, 2011 | 12 | 2011 |
| An improved model of masking effects for robust speech recognition system P Dai, IY Soon Speech Communication 55 (3), 387–396, 2013 | 11 | 2013 |
| 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 | 9 | 2020 |
| 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 | 9 | 2015 |
| 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 | 9 | 2015 |
| Semi-supervised hybrid clustering/classification system P Dai, J Lu, B Sekar, W Li, J Xu, R Li US Patent 11,023,710, 2021 | 8 | 2021 |
| A Particle Swarm Optimization Based Audio Watermarking Scheme B Lei, IY Soon, Z Li, P Dai 8th International Conference on Information, Communications and Signal …, 2011 | 8 | 2011 |
| 2D psychoacoustic filtering for robust speech recognition P Dai, Y Soon, CK Yeo 2009 7th International Conference on Information, Communications and Signal …, 2009 | 8 | 2009 |
| 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 | 7 | 2022 |
Juwei LuSenior Principal Scientist at Huawei Noah's Ark Laboratory - CanadaVerified email at ieee.org
