Publications

^ϯ marks corresponding author.

2022

V.R. Rao, M.I. Khalil, H. Li, P. Dai^ϯ, J. Lu, Dual Perspective Network for Audio Visual Event Localization, European Conference on Computer Vision (ECCV), Tel Aviv, Isreal, 2022.
H. Liang^ϯ, N. Quader, Z. Chi, L. Chen, P. Dai^ϯ, J. Lu, Y. Wang, Self-supervised spatiotemporal representation learning by exploiting video continuity, 36th AAAI Conference on Artificial Intelligence, Vancouver, BC, Canada, 2022. arxiv, Project Page
V.R. Rao, M.I. Khalil, H. Li, P. Dai^ϯ, J. Lu, Decompose the Sounds and Pixels, Recompose the Events, 36th AAAI Conference on Artificial Intelligence, Vancouver, BC, Canada, 2022. Project Page, News

H. Liang, Q. Zhang, P. Dai, J. Lu, Boosting the Generalization Capability in Cross-Domain Few-shot Learning via Noise-enhanced Supervised Autoencoder, International Conference on Computer Vision (ICCV), 2021. arxiv, CVF
D. Sridhar, N. Quader, S. Muralidharan, Y. Li, P. Dai, J. Lu, Class Semantics-based Attention for Action Detection, International Conference on Computer Vision (ICCV), 2021. arxiv, CVF, video
V.R. Rao, P. Dai^ϯ, S. Singla, Structural fragmentation in scene graphs, Knowledge-Based Systems, vol 211, pp 106504, 2021.
H. Ding, Z. Gu, P. Dai, Z Zhou, L. Wang, X. Wu, Deep connected attention (DCA) ResNet for robust voice pathology detection and classification, Biomedical Signal Processing and Control, Vol 70, pp 102973, 2021.
P. Dai, J. Lu, B. Sekar, W. Li, J. Xu, R. Li, Semi-supervised hybrid clustering/classification system, US Patent 11,023,710
J. Lu, S.M. SIAM, W. Zhou, P. Dai, X. Wu, S. Xu, Methods and systems for hand gesture-based control of a device, Patent WO2021184356A1

N. Quader, J. Lu, P. Dai, and W. Li, Towards Efficient Coarse-to-Fine Networks for Action and Gesture Recognition, European Conference on Computer Vision (ECCV), 2020. PDF
N. Quader, M. Bhuiyan, J. Lu, P. Dai, and W. Li, Weight Excitation: Built-in Attention Mechanisms in Convolutional Neural Networks, European Conference on Computer Vision (ECCV), 2020. PDF
V.R. Rao, U. Ahmad, P. Dai, J. Lu, W. Li, J. Xu, Method and system for image search and cropping, US Patent App. 16/441,918
N. QUADER, J. Lu, P. Dai, W. Li, Adaptive action recognizer for video, US Patent App. 16/874,478

J. Lu, S.M. SIAM, P. Dai, W. Li, J. Tang, Methods and systems for managing image collection, Patent WO2021120818A1
B. Sekar, J. Lu, P. Dai, W. Li, J. Xu, Intelligent video interaction method, US Patent 10,979,761

P. Dai, F. Gwadry-Sridhar, M. Bauer, M. Borrie and X. Teng, Healthy Cognitive Aging: a hybrid random vector functional-link model for the analysis of Alzheimer's disease, the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17), San Francisco, California USA, 4-9 Feb, 2017. (acceptance rate 24.6%, 638/2590) (paper)

P. Dai, F. Gwadry-Sridhar, M. Bauer, and M. Borrie, Bagging Ensembles for the Diagnosis and Prognostication of Alzheimer's Disease, the Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16), Phoenix, Arizona, USA, 12-17 Feb, 2016. (acceptance rate 26%, 549/2132) (Paper)
P. Dai, F. Gwadry-Sridhar, M. Bauer, M. Borrie, and X. Teng, Longitudinal Brain Structure Changes in Health/MCI Patients: A Deep Learning Approach for the Diagnosis and Prognosis of Alzheimer's Disease, Alzheimer's Association International Conference (AAIC), Toronto, ON, Canada, 24-27 July, 2016. (Poster)
X. Teng, P. Dai, F. Gwadry-Sridhar, M. Borrie, Clinical Feature Vs Artificial Intelligence Feature: Risk Factor Analysis Based on Deep Learning, Alzheimer's Association International Conference (AAIC), Toronto, ON, Canada, 24-27 July, 2016.
S. S. Ho, P. Dai, and F. Rudzicz, Manifold Learning for Multivariate Variable-length Sequences with an Application to Similarity Search, IEEE Transactions on Neural Networks and Learning Systems, vol 27(6), 2016.

P. Dai, F. Gwadry-Sridhar, M. Bauer, and M. Borrie, A hybrid manifold learning algorithm for the diagnosis and prognostication of Alzheimer's disease, AMIA 2015 Annual Symposium, San Francisco, CA, USA, 14-18 Nov, 2015.
P. Dai, F. Gwadry-Sridhar, M. Bauer, and M. Borrie, Structural Differences in Cognitively Normal, Mild Cognitive Impairment, and Alzheimer's Disease Individuals: A Novel Study Based on Brain Symmetry, Alzheimer's Association International Conference (AAIC), Washington D.C., USA, 18-23 July, 2015.
P. Dai, S. S. Ho, and F. Rudzicz, Sequential behavior prediction based on hybrid similarity and cross-user activity transfer, Knowledge-Based Systems, vol. 77, pp 29-39, 2015.
P. Dai, F. Rudzicz, I. Y. Soon, A. Mihailidis, and H. Ding, 2D psychoacoustic modeling of equivalent masking for automatic speech recognition system, Signal Processing, vol. 115, pp 9-19, 2015.
S. S. Ho, P. Dai, and F. Rudzicz, Manifold Learning for Multivariate Variable-length Sequences with an Application to Similarity Search, IEEE Transactions on Neural Networks and Learning Systems, vol PP(99), 2015.
H. Ding, T. Lee, I. Y. Soon, C. K. Yeo, P. Dai, and G. Dan, Objective Measures for Quality Assessment of Noise-suppressed Speech, Speech Communication, vol. 71, pp. 62-73, 2015.

P. Dai and S. S. Ho, A Smartphone User Activity Prediction Framework Utilizing Partial Repetitive and Landmark Behaviors, IEEE International Conference on Mobile Data Management (MDM), Brisbane, Australia, 14-18 July, 2014.

P. Dai and I. Y. Soon, An Improved Model of Masking Effects for Robust Speech Recognition System, Speech Communication, vol 55, pp. 387-396, 2013.
P. Dai and I. Y. Soon, Robust Speech Recognition by Using Spectral Subtraction with Noise Peak Shifting, IET Signal Processing, Volume 7, issue 8, p. 684 - 692, 2013.
P. Dai, W. Yang, and S. S. Ho, Predicting Mobile Call Behavior via Subspace Methods, in International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction (SBP2013), Washington, DC, Apr. 2-5, 2013.

P. Dai and I. Y. Soon, A Temporal Frequency Warped (TFW) 2D Psychoacoustic Filter for Robust Speech Recognition System, Speech Communication, vol. 54, pp. 402-413, 2012.
P. Dai, I. Y. Soon and R. Tao, Direct Recovery of Clean Speech using a Hybrid Noise Suppression Algorithm for Robust Speech Recognition System, ISRN Signal Processing, 2012.

P. Dai and I. Y. Soon, An Adaptive Soft Voice Activity Detector for Automatic Speech Recognition System, International Conference on Information, Communications and Signal Processing (ICICS), 2011.
Q. Wang, H. Wang, K. Hao, and P. Dai, Two-phase flow regime identification based on cross-entropy and information extension methods for computerized tomography, IEEE Transactions on Instrumentation and Measurement, vol. 60, pp. 488-495, 2011.
Baiying Lei, I.Y. Soon, Z. Li, and P. Dai, An Optimal Audio Watermarking Scheme Based on Particle Swarm Optimization, Proceedings of International Conference on Information, Communications and Signal Processing (ICICS), 2011.

P. Dai and I. Y. Soon, A temporal warped 2D psychoacoustic modeling for robust speech recognition system, Speech Communication, vol. 53, pp. 229-241, 2010.

P. Dai, I. Y. Soon, and C. K. Yeo, 2D psychoacoustic filtering for robust speech recognition, International Conference on Information, Communications and Signal Processing (ICICS), 2009.

"Education is not the learning of facts, but the training of the mind to think."

-- Albert Einstein.