Pais, A.R.
Standard Author Listing
with: Jamal, R.: Randomised visual secret sharing scheme for grey-scale and ...
with: Mhala, N.C.: Randomised visual secret sharing scheme for grey-scale an...
with: Muhammed, A.: secure fingerprint template generation mechanism using v...
with: Muhammed, A.: Secure latent fingerprint storage and self-recovered rec...
Pais, D.
Standard Author Listing
with: Bras, S.: Exploring Alterations in Electrocardiogram During the Postop...
with: Sebastiao, R.: ECG Feature-based Classification of Induced Pain Levels
with: Sebastiao, R.: Exploring Alterations in Electrocardiogram During the P...
Pais, G.D.
Standard Author Listing
with: Chellappa, R.: 3DRegNet: A Deep Neural Network for 3D Point Registration
with: Cherian, A.: InSeGAN: A Generative Approach to Segmenting Identical In...
with: Govindu, V.M.: 3DRegNet: A Deep Neural Network for 3D Point Registration
with: Jain, S.: InSeGAN: A Generative Approach to Segmenting Identical Insta...
with: Marks, T.K.: InSeGAN: A Generative Approach to Segmenting Identical In...
with: Miraldo, P.: 3DRegNet: A Deep Neural Network for 3D Point Registration
with: Nascimento, J.C.: 3DRegNet: A Deep Neural Network for 3D Point Registr...
with: Ramalingam, S.: 3DRegNet: A Deep Neural Network for 3D Point Registrat...
with: Sullivan, A.: InSeGAN: A Generative Approach to Segmenting Identical I...
9 for Pais, G.D.
Pais, M.P.
Standard Author Listing
with: Almeida, S.: Designing Unmanned Aerial Survey Monitoring Program to As...
with: Canning Clode, J.: Designing Unmanned Aerial Survey Monitoring Program...
with: Freitas, R.: Designing Unmanned Aerial Survey Monitoring Program to As...
with: Kataoka, T.: Designing Unmanned Aerial Survey Monitoring Program to As...
with: Monteiro, J.G.: Designing Unmanned Aerial Survey Monitoring Program to...
with: Radeta, M.: Designing Unmanned Aerial Survey Monitoring Program to Ass...
Pais, S.
Standard Author Listing
with: Alonso, J.M.: Best of Two Worlds: Combining Classifier Fusion and Ecol...
with: Goncalves, J.F.: Best of Two Worlds: Combining Classifier Fusion and E...
with: Honrado, J.: Best of Two Worlds: Combining Classifier Fusion and Ecolo...
with: Mouta, N.: Best of Two Worlds: Combining Classifier Fusion and Ecologi...
with: Silva, R.: Best of Two Worlds: Combining Classifier Fusion and Ecologi...
with: Vicente, J.R.: Best of Two Worlds: Combining Classifier Fusion and Eco...
Paisey, S.
Standard Author Listing
with: Boda, D.: Automated Digital Hair Removal by Threshold Decomposition an...
with: Diaconeasa, A.: Automated Digital Hair Removal by Threshold Decomposit...
with: Doshi, S.: Automated Digital Hair Removal by Threshold Decomposition a...
with: Jalba, A.: Automated Digital Hair Removal by Threshold Decomposition a...
with: Koehoorn, J.: Automated Digital Hair Removal by Threshold Decompositio...
with: Sobiecki, A.C.: Automated Digital Hair Removal by Threshold Decomposit...
with: Telea, A.: Automated Digital Hair Removal by Threshold Decomposition a...
7 for Paisey, S.
Paisios, A.
Standard Author Listing
with: Kral, P.: Well-calibrated confidence measures for multi-label text cla...
with: Lenc, L.: Well-calibrated confidence measures for multi-label text cla...
with: Maltoudoglou, L.: Well-calibrated confidence measures for multi-label ...
with: Martinek, J.: Well-calibrated confidence measures for multi-label text...
with: Papadopoulos, H.: Well-calibrated confidence measures for multi-label ...
Paisitkriangkrai, S.
Standard Author Listing
with: Bailey, J.: Training robust models using Random Projection
with: Erfani, S.: Training robust models using Random Projection
with: Hu, Q.: Fast Detection of Multiple Objects in Traffic Scenes With a Co...
with: Hua, X.S.: Scalable clip-based near-duplicate video detection with ord...
with: Janney, P.: Effective semantic pixel labelling with convolutional netw...
with: Leckie, C.: Training robust models using Random Projection
with: Mei, T.: Scalable clip-based near-duplicate video detection with ordin...
with: Porikli, F.M.: Fast Detection of Multiple Objects in Traffic Scenes Wi...
with: Ramamohanarao, K.: Training robust models using Random Projection
with: Shen, C.H.: Asymmetric Pruning for Learning Cascade Detectors
with: Shen, C.H.: Efficient Pedestrian Detection by Directly Optimizing the ...
with: Shen, C.H.: Efficiently Learning a Detection Cascade With Sparse Eigen...
with: Shen, C.H.: Efficiently training a better visual detector with sparse ...
with: Shen, C.H.: Face detection from few training examples
with: Shen, C.H.: Face Detection with Effective Feature Extraction
with: Shen, C.H.: Fast Detection of Multiple Objects in Traffic Scenes With ...
with: Shen, C.H.: Fast Pedestrian Detection Using a Cascade of Boosted Covar...
with: Shen, C.H.: Incremental Training of a Detector Using Online Sparse Eig...
with: Shen, C.H.: Large-Margin Learning of Compact Binary Image Encodings
with: Shen, C.H.: Learning to rank in person re-identification with metric e...
with: Shen, C.H.: Pedestrian Detection with Spatially Pooled Features and St...
with: Shen, C.H.: Performance evaluation of local features in human classifi...
with: Shen, C.H.: Real-time Pedestrian Detection Using a Boosted Multi-layer...
with: Shen, C.H.: Sharing features in multi-class boosting via group sparsity
with: Shen, C.H.: Strengthening the Effectiveness of Pedestrian Detection wi...
with: Shen, C.H.: Structured learning of metric ensembles with application t...
with: Shen, C.H.: Training Effective Node Classifiers for Cascade Classifica...
with: Shen, C.H.: Two-Layer Night-Time Vehicle Detector, A
with: Sherrah, J.: Effective semantic pixel labelling with convolutional net...
with: van den Hengel, A.J.: Asymmetric Pruning for Learning Cascade Detectors
with: van den Hengel, A.J.: Effective semantic pixel labelling with convolut...
with: van den Hengel, A.J.: Efficient Pedestrian Detection by Directly Optim...
with: van den Hengel, A.J.: Fast Detection of Multiple Objects in Traffic Sc...
with: van den Hengel, A.J.: Large-Margin Learning of Compact Binary Image En...
with: van den Hengel, A.J.: Learning to rank in person re-identification wit...
with: van den Hengel, A.J.: Pedestrian Detection with Spatially Pooled Featu...
with: van den Hengel, A.J.: Sharing features in multi-class boosting via gro...
with: van den Hengel, A.J.: Strengthening the Effectiveness of Pedestrian De...
with: van den Hengel, A.J.: Structured learning of metric ensembles with app...
with: van den Hengel, A.J.: Training Effective Node Classifiers for Cascade ...
with: Vinh, N.X.: Training robust models using Random Projection
with: Wang, P.: Training Effective Node Classifiers for Cascade Classification
with: Wang, W.H.: Two-Layer Night-Time Vehicle Detector, A
with: Wu, L.: Learning to rank in person re-identification with metric ensem...
with: Wu, L.: Structured learning of metric ensembles with application to pe...
with: Zhang, J.: Efficiently Learning a Detection Cascade With Sparse Eigenv...
with: Zhang, J.: Efficiently training a better visual detector with sparse e...
with: Zhang, J.: Face detection from few training examples
with: Zhang, J.: Face Detection with Effective Feature Extraction
with: Zhang, J.: Fast Pedestrian Detection Using a Cascade of Boosted Covari...
with: Zhang, J.: Incremental Training of a Detector Using Online Sparse Eige...
with: Zhang, J.: Performance evaluation of local features in human classific...
with: Zhang, J.: Real-time Pedestrian Detection Using a Boosted Multi-layer ...
with: Zhang, J.: Scalable clip-based near-duplicate video detection with ord...
with: Zhang, J.: Two-Layer Night-Time Vehicle Detector, A
55 for Paisitkriangkrai, S.
Paisley, J.
Standard Author Listing
with: Bai, X.: Modified EM Algorithm for ISAR Scatterer Trajectory Matrix Co...
with: Blei, D.M.: Nested Hierarchical Dirichlet Processes
with: Broderick, T.: Combinatorial Clustering and the Beta Negative Binomial...
with: Cai, C.B.: Segmentation-Aware Deep Fusion Network for Compressed Sensi...
with: Cao, X.Y.: Hyperspectral Image Classification With Markov Random Field...
with: Carin, L.: Hierarchical Bayesian Modeling of Topics in Time-Stamped Do...
with: Carin, L.: Nonparametric Bayesian Dictionary Learning for Analysis of ...
with: Carin, L.: Nonparametric image interpolation and dictionary learning u...
with: Chen, H.: Nonparametric Bayesian Dictionary Learning for Analysis of N...
with: Chen, X.B.: Compressed sensing MRI with Bayesian dictionary learning
with: Ding, X.: 3D Spatially Weighted Network for Segmentation of Brain Tiss...
with: Ding, X.: Deep Blind Hyperspectral Image Fusion
with: Ding, X.: JPEG Artifacts Reduction via Deep Convolutional Sparse Coding
with: Ding, X.: PanNet: A Deep Network Architecture for Pan-Sharpening
with: Ding, X.H.: Bayesian Nonparametric Dictionary Learning for Compressed ...
with: Ding, X.H.: Clearing the Skies: A Deep Network Architecture for Single...
with: Ding, X.H.: Compressed sensing MRI with Bayesian dictionary learning
with: Ding, X.H.: Deep Information Sharing Network for Multi-Contrast Compre...
with: Ding, X.H.: Multiscale Approach to Deep Blind Image Quality Assessment...
with: Ding, X.H.: Pan-sharpening based on nonparametric Bayesian adaptive di...
with: Ding, X.H.: Pan-Sharpening with a Hyper-Laplacian Penalty
with: Ding, X.H.: Rain O'er Me: Synthesizing Real Rain to Derain With Data D...
with: Ding, X.H.: Removing Rain from Single Images via a Deep Detail Network
with: Ding, X.H.: Segmentation-Aware Deep Fusion Network for Compressed Sens...
with: Ding, X.H.: Successive Graph Convolutional Network for Image De-raining
with: Dunson, D.: Nonparametric Bayesian Dictionary Learning for Analysis of...
with: Fan, Z.W.: Deep Information Sharing Network for Multi-Contrast Compres...
with: Fan, Z.W.: Segmentation-Aware Deep Fusion Network for Compressed Sensi...
with: Fu, X.: JPEG Artifacts Reduction via Deep Convolutional Sparse Coding
with: Fu, X.: PanNet: A Deep Network Architecture for Pan-Sharpening
with: Fu, X.Y.: Bayesian Nonparametric Dictionary Learning for Compressed Se...
with: Fu, X.Y.: Clearing the Skies: A Deep Network Architecture for Single-I...
with: Fu, X.Y.: Deep Information Sharing Network for Multi-Contrast Compress...
with: Fu, X.Y.: Rain O'er Me: Synthesizing Real Rain to Derain With Data Dis...
with: Fu, X.Y.: Removing Rain from Single Images via a Deep Detail Network
with: Fu, X.Y.: Successive Graph Convolutional Network for Image De-raining
with: Hu, Y.: PanNet: A Deep Network Architecture for Pan-Sharpening
with: Huang, F.: Compressed sensing MRI with Bayesian dictionary learning
with: Huang, J.B.: Clearing the Skies: A Deep Network Architecture for Singl...
with: Huang, J.B.: Multiscale Approach to Deep Blind Image Quality Assessmen...
with: Huang, J.B.: Removing Rain from Single Images via a Deep Detail Network
with: Huang, Y.: 3D Spatially Weighted Network for Segmentation of Brain Tis...
with: Huang, Y.: Bayesian Nonparametric Dictionary Learning for Compressed S...
with: Huang, Y.: Compressed sensing MRI with Bayesian dictionary learning
with: Huang, Y.: Deep Blind Hyperspectral Image Fusion
with: Huang, Y.: Deep Information Sharing Network for Multi-Contrast Compres...
with: Huang, Y.: Pan-sharpening based on nonparametric Bayesian adaptive dic...
with: Huang, Y.: Pan-Sharpening with a Hyper-Laplacian Penalty
with: Huang, Y.: PanNet: A Deep Network Architecture for Pan-Sharpening
with: Huang, Y.: Rain O'er Me: Synthesizing Real Rain to Derain With Data Di...
with: Huang, Y.: Removing Rain from Single Images via a Deep Detail Network
with: Huang, Y.: Segmentation-Aware Deep Fusion Network for Compressed Sensi...
with: Ji, H.: Modified EM Algorithm for ISAR Scatterer Trajectory Matrix Com...
with: Jiang, Y.: Pan-Sharpening with a Hyper-Laplacian Penalty
with: Jordan, M.I.: Combinatorial Clustering and the Beta Negative Binomial ...
with: Jordan, M.I.: Nested Hierarchical Dirichlet Processes
with: Li, L.: Nonparametric Bayesian Dictionary Learning for Analysis of Noi...
with: Li, Y.: Rain O'er Me: Synthesizing Real Rain to Derain With Data Disti...
with: Liang, D.: 3D Spatially Weighted Network for Segmentation of Brain Tis...
with: Liao, Y.: Clearing the Skies: A Deep Network Architecture for Single-I...
with: Lin, H.: Rain O'er Me: Synthesizing Real Rain to Derain With Data Dist...
with: Lin, Q.: Bayesian Nonparametric Dictionary Learning for Compressed Sen...
with: Liu, L.: Modified EM Algorithm for ISAR Scatterer Trajectory Matrix Co...
with: Liu, M.: Multiscale Approach to Deep Blind Image Quality Assessment, A
with: Ma, W.: 3D Spatially Weighted Network for Segmentation of Brain Tissue...
with: Mackey, L.: Combinatorial Clustering and the Beta Negative Binomial Pr...
with: Meng, D.Y.: Hyperspectral Image Classification With Markov Random Fiel...
with: Pruteanu Malinici, I.: Hierarchical Bayesian Modeling of Topics in Tim...
with: Qi, Q.: Successive Graph Convolutional Network for Image De-raining
with: Ren, L.: Hierarchical Bayesian Modeling of Topics in Time-Stamped Docu...
with: Ren, L.: Nonparametric Bayesian Dictionary Learning for Analysis of No...
with: Sapiro, G.: Nonparametric Bayesian Dictionary Learning for Analysis of...
with: Sapiro, G.: Nonparametric image interpolation and dictionary learning ...
with: Sun, L.: 3D Spatially Weighted Network for Segmentation of Brain Tissu...
with: Sun, L.Y.: Deep Information Sharing Network for Multi-Contrast Compres...
with: Sun, L.Y.: Segmentation-Aware Deep Fusion Network for Compressed Sensi...
with: Wang, C.: Nested Hierarchical Dirichlet Processes
with: Wang, E.: Hierarchical Bayesian Modeling of Topics in Time-Stamped Doc...
with: Wang, W.: Deep Blind Hyperspectral Image Fusion
with: Wu, F.: JPEG Artifacts Reduction via Deep Convolutional Sparse Coding
with: Wu, F.: Successive Graph Convolutional Network for Image De-raining
with: Xie, J.: Pan-sharpening based on nonparametric Bayesian adaptive dicti...
with: Xing, Z.: Nonparametric Bayesian Dictionary Learning for Analysis of N...
with: Xu, L.: Hyperspectral Image Classification With Markov Random Fields a...
with: Xu, Z.B.: Hyperspectral Image Classification With Markov Random Fields...
with: Yang, J.: PanNet: A Deep Network Architecture for Pan-Sharpening
with: Zeng, D.: Multiscale Approach to Deep Blind Image Quality Assessment, A
with: Zeng, D.: Pan-Sharpening with a Hyper-Laplacian Penalty
with: Zeng, D.L.: Removing Rain from Single Images via a Deep Detail Network
with: Zeng, W.: Deep Blind Hyperspectral Image Fusion
with: Zha, Z.: JPEG Artifacts Reduction via Deep Convolutional Sparse Coding
with: Zha, Z.J.: Successive Graph Convolutional Network for Image De-raining
with: Zhang, X.P.: Bayesian Nonparametric Dictionary Learning for Compressed...
with: Zhang, X.P.: Compressed sensing MRI with Bayesian dictionary learning
with: Zhang, X.P.: Pan-sharpening based on nonparametric Bayesian adaptive d...
with: Zhou, F.: Hyperspectral Image Classification With Markov Random Fields...
with: Zhou, F.: Modified EM Algorithm for ISAR Scatterer Trajectory Matrix C...
with: Zhou, M.Y.: Nonparametric Bayesian Dictionary Learning for Analysis of...
with: Zhou, M.Y.: Nonparametric image interpolation and dictionary learning ...
99 for Paisley, J.
Paiss, R.
Standard Author Listing
with: Benaim, S.: Image-Based CLIP-Guided Essence Transfer
with: Chefer, H.: Image-Based CLIP-Guided Essence Transfer
with: Chefer, H.: No Token Left Behind: Explainability-Aided Image Classific...
with: Dekel, T.: Teaching CLIP to Count to Ten
with: Ephrat, A.: Teaching CLIP to Count to Ten
with: Irani, M.: Teaching CLIP to Count to Ten
with: Mosseri, I.: Teaching CLIP to Count to Ten
with: Tov, O.: Teaching CLIP to Count to Ten
with: Wolf, L.B.: Image-Based CLIP-Guided Essence Transfer
with: Wolf, L.B.: No Token Left Behind: Explainability-Aided Image Classific...
with: Zada, S.: Teaching CLIP to Count to Ten
11 for Paiss, R.
Paissan, F.
Standard Author Listing
with: Ancilotto, A.: XiNet: Efficient Neural Networks for tinyML
with: Farella, E.: XiNet: Efficient Neural Networks for tinyML