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ORCIDAdrian Barbu
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2020 – today
- 2024
[c41]Ke Han, Adrian Barbu:
Large-Scale Few-Shot Classification with Semi-supervised Hierarchical k-Probabilistic PCAs. IJCNN 2024: 1-10- [i25]Cheng Long, Adrian Barbu:
A Study of Shape Modeling Against Noise. CoRR abs/2402.15587 (2024) - [i24]Rittwika Kansabanik, Adrian Barbu:
Latent Image and Video Resolution Prediction using Convolutional Neural Networks. CoRR abs/2410.13227 (2024) - 2023
- [j17]Adrian Barbu
:
Training a Two-Layer ReLU Network Analytically. Sensors 23(8): 4072 (2023) - [j16]Yiyuan She, Jiahui Shen, Adrian Barbu:
Slow Kill for Big Data Learning. IEEE Trans. Inf. Theory 69(9): 5936-5955 (2023) - [j15]Mingyuan Wang, Adrian Barbu:
Online Feature Screening for Data Streams With Concept Drift. IEEE Trans. Knowl. Data Eng. 35(11): 11693-11707 (2023) - [c40]Jason Zhang, Adrian Barbu:
Reliable Classification using Compact Support Probabilistic PCA. ICMLA 2023: 1350-1354 - [i23]Yijia Zhou, Kyle A. Gallivan, Adrian Barbu:
Scalable Clustering: Large Scale Unsupervised Learning of Gaussian Mixture Models with Outliers. CoRR abs/2302.14599 (2023) - [i22]Hakan Pabuccu, Adrian Barbu:
Feature Selection for Forecasting. CoRR abs/2303.02223 (2023) - [i21]Adrian Barbu:
Training a Two Layer ReLU Network Analytically. CoRR abs/2304.02972 (2023) - [i20]Yiyuan She, Jianhui Shen, Adrian Barbu:
Slow Kill for Big Data Learning. CoRR abs/2305.01726 (2023) - 2022
- [c39]Boshi Wang, Adrian Barbu:
Scalable Learning with Incremental Probabilistic PCA. IEEE Big Data 2022: 5615-5622 - [c38]Cheng Long, Adrian Barbu:
A Study of Shape Modeling Against Noise. ICIP 2022: 611-615 - 2021
- [j14]Adrian Barbu, Hongyu Mou:
The Compact Support Neural Network. Sensors 21(24): 8494 (2021) - [c37]Yangzi Guo, Yiyuan She, Adrian Barbu:
Network Pruning via Annealing and Direct Sparsity Control. IJCNN 2021: 1-8 - [c36]Yangzi Guo, Ying Nian Wu, Adrian Barbu:
A Study of Local Optima for Learning Feature Interactions using Neural Networks. IJCNN 2021: 1-8 - [c35]Hua Huang, Adrian Barbu:
Predicting Lane Change Decision Making with Compact Support. IV 2021: 553-558 - [i19]Adrian Barbu, Hongyu Mou:
The Compact Support Neural Network. CoRR abs/2104.00269 (2021) - [i18]Mingyuan Wang, Adrian Barbu:
Online Feature Screening for Data Streams with Concept Drift. CoRR abs/2104.02883 (2021) - 2020
- [c34]Donghang Li, Adrian Barbu:
Training a Steerable CNN for Guidewire Detection. CVPR 2020: 13952-13960 - [c33]Gitesh Dawer, Yangzi Guo, Adrian Barbu:
Generating Compact Tree Ensembles via Annealing. IJCNN 2020: 1-8 - [c32]Gitesh Dawer, Yangzi Guo, Sida Liu, Adrian Barbu:
Neural Rule Ensembles: Encoding Sparse Feature Interactions into Neural Networks. IJCNN 2020: 1-8 - [c31]Brian R. Bartoldson, Ari S. Morcos, Adrian Barbu, Gordon Erlebacher:
The Generalization-Stability Tradeoff In Neural Network Pruning. NeurIPS 2020 - [i17]Yangzi Guo, Yiyuan She, Adrian Barbu:
Training Efficient Network Architecture and Weights via Direct Sparsity Control. CoRR abs/2002.04301 (2020) - [i16]Gitesh Dawer, Yangzi Guo, Sida Liu, Adrian Barbu:
Neural Rule Ensembles: Encoding Sparse Feature Interactions into Neural Networks. CoRR abs/2002.04319 (2020) - [i15]Yangzi Guo, Adrian Barbu:
A study of local optima for learning feature interactions using neural networks. CoRR abs/2002.04322 (2020)
2010 – 2019
- 2019
- [c30]Orhan Akal, Adrian Barbu:
Learning Chan-Vese. ICIP 2019: 1590-1594 - [c29]Donghang Li, Adrian Barbu:
Training a CNN for Guidewire Detection. ICIP 2019: 2214-2218 - [i14]Brian R. Bartoldson, Ari S. Morcos, Adrian Barbu, Gordon Erlebacher:
The Generalization-Stability Tradeoff in Neural Network Pruning. CoRR abs/1906.03728 (2019) - [i13]Hua Huang, Adrian Barbu:
Playing Atari Ball Games with Hierarchical Reinforcement Learning. CoRR abs/1909.12465 (2019) - 2018
- [j13]Adrian Barbu, Le Lu, Holger Roth, Ari Seff, Ronald M. Summers:
An analysis of robust cost functions for CNN in computer-aided diagnosis. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 6(3): 253-258 (2018) - [j12]Josue Anaya, Adrian Barbu:
RENOIR - A dataset for real low-light image noise reduction. J. Vis. Commun. Image Represent. 51: 144-154 (2018) - [j11]Ajay Gupta, Adrian Barbu:
Parameterized principal component analysis. Pattern Recognit. 78: 215-227 (2018) - [c28]Hongyu Mou, Adrian Barbu:
Accurate Dictionary Learning with Direct Sparsity Control. ICIP 2018: 1842-1846 - [c27]Orhan Akal, Tathagata Mukherjee, Adrian Barbu, Jared Devin Paquet, Kevin George, Eduardo L. Pasiliao:
A Distributed Sensing Approach for Single Platform Image-Based Localization. ICMLA 2018: 643-649 - [c26]Nathan Lay, Yohannes Tsehay, Yohan Sumathipala, Ruida Cheng, Sonia Gaur, Clayton Smith, Adrian Barbu, Le Lu, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Ronald M. Summers:
A Decomposable Model for the Detection of Prostate Cancer in Multi-parametric MRI. MICCAI (2) 2018: 930-939 - [i12]Nathan Lay, Adam P. Harrison, Sharon Schreiber, Gitesh Dawer, Adrian Barbu:
Random Hinge Forest for Differentiable Learning. CoRR abs/1802.03882 (2018) - [i11]Lizhe Sun, Adrian Barbu:
Online Regression with Model Selection. CoRR abs/1803.11521 (2018) - [i10]Sida Liu, Adrian Barbu:
Unsupervised Learning of Mixture Models with a Uniform Background Component. CoRR abs/1804.02744 (2018) - [i9]Brian R. Bartoldson, Adrian Barbu, Gordon Erlebacher:
Enhancing the Regularization Effect of Weight Pruning in Artificial Neural Networks. CoRR abs/1805.01930 (2018) - [i8]Mingyuan Wang, Adrian Barbu:
Are screening methods useful in feature selection? An empirical study. CoRR abs/1809.05465 (2018) - 2017
- [j10]Adrian Barbu, Yiyuan She, Liangjing Ding, Gary Gramajo:
Feature Selection with Annealing for Computer Vision and Big Data Learning. IEEE Trans. Pattern Anal. Mach. Intell. 39(2): 272-286 (2017) - [c25]Adrian Barbu:
A directed graph approach to active contours. ICIP 2017: 71-75 - [i7]Gitesh Dawer, Adrian Barbu:
Relevant Ensemble of Trees. CoRR abs/1709.05545 (2017) - 2016
- [i6]Ajay Gupta, Adrian Barbu:
Parameterized Principal Component Analysis. CoRR abs/1608.04695 (2016) - 2015
- [j9]Adrian Barbu, Iasonas Kokkinos:
Editorial introduction to the CVIU special issue on "Generative models in computer vision and medical imaging". Comput. Vis. Image Underst. 136: 1-2 (2015) - [c24]Ari Seff, Le Lu, Adrian Barbu, Holger Roth, Hoo-Chang Shin, Ronald M. Summers:
Leveraging Mid-Level Semantic Boundary Cues for Automated Lymph Node Detection. MICCAI (2) 2015: 53-61 - 2014
- [j8]Eric Joe Coyle, Rodney G. Roberts, Emmanuel G. Collins Jr., Adrian Barbu:
Synthetic data generation for classification via uni-modal cluster interpolation. Auton. Robots 37(1): 27-45 (2014) - [r2]Adrian Barbu:
Swendsen-Wang Algorithm. Computer Vision, A Reference Guide 2014: 783-785 - [r1]Adrian Barbu:
Swendsen-Wang Cut Algorithm. Computer Vision, A Reference Guide 2014: 785-788 - [i5]Adrian Barbu, Gary Gramajo:
Face Detection Using a 3D Model on Face Keypoints. CoRR abs/1404.3596 (2014) - [i4]Josue Anaya, Adrian Barbu:
RENOIR - A Benchmark Dataset for Real Noise Reduction Evaluation. CoRR abs/1409.8230 (2014) - 2013
- [j7]Kai Zhang, Emmanuel G. Collins Jr., Adrian Barbu:
An Efficient Stochastic Clustering Auction for Heterogeneous Robotic Collaborative Teams. J. Intell. Robotic Syst. 72(3-4): 541-558 (2013) - [j6]Adrian Barbu:
Hierarchical Object Parsing from Structured Noisy Point Clouds. IEEE Trans. Pattern Anal. Mach. Intell. 35(7): 1649-1659 (2013) - [c23]Adrian Barbu, Maria Pavlovskaia, Song Chun Zhu:
Rates for Inductive Learning of Compositional Models. AAAI Workshop: Learning Rich Representations from Low-Level Sensors 2013 - [i3]Adrian Barbu, Yiyuan She:
Fast Simultaneous Feature Selection and Learning. CoRR abs/1310.2880 (2013) - 2012
- [j5]Adrian Barbu, Nathan Lay:
An introduction to artificial prediction markets for classification. J. Mach. Learn. Res. 13: 2177-2204 (2012) - [j4]Adrian Barbu, Michael Sühling, Xun Xu, David Liu, Shaohua Kevin Zhou, Dorin Comaniciu:
Automatic Detection and Segmentation of Lymph Nodes From CT Data. IEEE Trans. Medical Imaging 31(2): 240-250 (2012) - [c22]Liangjing Ding, Adrian Barbu, Anke Meyer-Baese:
Motion Segmentation by Velocity Clustering with Estimation of Subspace Dimension. ACCV Workshops (2) 2012: 491-505 - [c21]Liangjing Ding, Adrian Barbu, Anke Meyer-Baese:
Learning a Quality-Based Ranking for Feature Point Trajectories. ACCV (3) 2012: 718-733 - [c20]Kai Zhang, Emmanuel G. Collins Jr., Adrian Barbu:
An efficient stochastic clustering auction for heterogeneous robot teams. ICRA 2012: 4806-4813 - 2011
- [c19]Wen Wu, Terrence Chen, Peng Wang, Shaohua Kevin Zhou, Dorin Comaniciu, Adrian Barbu, Norbert Strobel:
Learning-based hypothesis fusion for robust catheter tracking in 2D X-ray fluoroscopy. CVPR 2011: 1097-1104 - [i2]Adrian Barbu, Nathan Lay:
An Introduction to Artificial Prediction Markets for Classification. CoRR abs/1102.1465 (2011) - [i1]Adrian Barbu:
Hierarchical Object Parsing from Noisy Point Clouds. CoRR abs/1108.3605 (2011) - 2010
- [c18]Nathan Lay, Adrian Barbu:
Supervised Aggregation of Classifiers using Artificial Prediction Markets. ICML 2010: 591-598 - [c17]Kai Zhang, Emmanuel G. Collins Jr., Adrian Barbu:
A novel Stochastic Clustering Auction for task allocation in multi-robot teams. IROS 2010: 3300-3307 - [c16]Adrian Barbu, Michael Sühling, Xun Xu, David Liu, Shaohua Kevin Zhou, Dorin Comaniciu:
Automatic Detection and Segmentation of Axillary Lymph Nodes. MICCAI (1) 2010: 28-36
2000 – 2009
- 2009
- [j3]Adrian Barbu:
Training an Active Random Field for Real-Time Image Denoising. IEEE Trans. Image Process. 18(11): 2451-2462 (2009) - [c15]Adrian Barbu:
Learning real-time MRF inference for image denoising. CVPR 2009: 1574-1581 - [c14]Sascha Seifert, Adrian Barbu, Shaohua Kevin Zhou, David Liu, Johannes Feulner, Martin Huber, Michael Sühling, Alexander Cavallaro, Dorin Comaniciu:
Hierarchical parsing and semantic navigation of full body CT data. Image Processing 2009: 725902 - 2008
- [j2]Yefeng Zheng, Adrian Barbu, Bogdan Georgescu, Michael Scheuering, Dorin Comaniciu:
Four-Chamber Heart Modeling and Automatic Segmentation for 3-D Cardiac CT Volumes Using Marginal Space Learning and Steerable Features. IEEE Trans. Medical Imaging 27(11): 1668-1681 (2008) - [c13]Le Lu, Adrian Barbu, Matthias Wolf, Jianming Liang, Marcos Salganicoff, Dorin Comaniciu:
Accurate polyp segmentation for 3D CT colongraphy using multi-staged probabilistic binary learning and compositional model. CVPR 2008 - [c12]Le Lu, Adrian Barbu, Matthias Wolf, Jianming Liang, Luca Bogoni, Marcos Salganicoff, Dorin Comaniciu:
Simultaneous Detection and Registration for Ileo-Cecal Valve Detection in 3D CT Colonography. ECCV (4) 2008: 465-478 - [c11]Richard Socher, Adrian Barbu, Dorin Comaniciu:
A learning based hierarchical model for vessel segmentation. ISBI 2008: 1055-1058 - [c10]Yefeng Zheng, Bogdan Georgescu, Adrian Barbu, Michael Scheuering, Dorin Comaniciu:
Four-chamber heart modeling and automatic segmentation for 3D cardiac CT volumes. Image Processing 2008: 691416 - 2007
- [c9]Adrian Barbu, Vassilis Athitsos, Bogdan Georgescu, Stefan Böhm, Peter Durlak, Dorin Comaniciu:
Hierarchical Learning of Curves Application to Guidewire Localization in Fluoroscopy. CVPR 2007 - [c8]Yefeng Zheng, Adrian Barbu, Bogdan Georgescu, Michael Scheuering, Dorin Comaniciu:
Fast Automatic Heart Chamber Segmentation from 3D CT Data Using Marginal Space Learning and Steerable Features. ICCV 2007: 1-8 - 2006
- [c7]Zhuowen Tu, Xiang Sean Zhou, Luca Bogoni, Adrian Barbu, Dorin Comaniciu:
Probabilistic 3D Polyp Detection in CT Images: The Role of Sample Alignment. CVPR (2) 2006: 1544-1551 - [c6]Adrian Barbu, Luca Bogoni, Dorin Comaniciu:
Hierarchical Part-Based Detection of 3D Flexible Tubes: Application to CT Colonoscopy. MICCAI (2) 2006: 462-470 - 2005
- [j1]Adrian Barbu, Song Chun Zhu:
Generalizing Swendsen-Wang to Sampling Arbitrary Posterior Probabilities. IEEE Trans. Pattern Anal. Mach. Intell. 27(8): 1239-1253 (2005) - [c5]Adrian Barbu, Song Chun Zhu:
Incorporating Visual Knowledge Representation in Stereo Reconstruction. ICCV 2005: 572-579 - 2004
- [c4]Adrian Barbu, Song Chun Zhu:
Multigrid and Multi-Level Swendsen-Wang Cuts for Hierarchic Graph Partition. CVPR (2) 2004: 731-738 - [c3]Adrian Barbu, Alan L. Yuille:
Motion Estimation by Swendsen-Wang Cuts. CVPR (1) 2004: 754-761 - [c2]Adrian Barbu, Song Chun Zhu:
On the Relationship Between Image and Motion Segmentation. SCVMA 2004: 51-63 - 2003
- [c1]Adrian Barbu, Song Chun Zhu:
Graph Partition by Swendsen-Wang Cuts. ICCV 2003: 320-329
Coauthor Index
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last updated on 2024-11-28 21:29 CET by the dblp team
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