Adrian Barbu - RankMe

89 papers A* 12A 1B 14C 3Journal 44Unranked 13

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Feature Selection for Latent Factor Models. CVPR Rittwika Kansabanik, Adrian Barbu
2025	J	`jnl`	Scalable Clustering: Large Scale Unsupervised Learning of Gaussian Mixture Models with Outliers. J. Comput. Graph. Stat. Yijia Zhou, Kyle A. Gallivan, Adrian Barbu
2024	J	`jnl`	A Study of Shape Modeling Against Noise. CoRR Cheng Long, Adrian Barbu
2024	J	`jnl`	Feature Selection for Latent Factor Models. CoRR Rittwika Kansabanik, Adrian Barbu
2024	B	`conf`	Large-Scale Few-Shot Classification with Semi-supervised Hierarchical k-Probabilistic PCAs. IJCNN Ke Han, Adrian Barbu
2024	J	`jnl`	Latent Image and Video Resolution Prediction using Convolutional Neural Networks. CoRR Rittwika Kansabanik, Adrian Barbu
2024	B	`conf`	PCA-UNET for Object Segmentation. ICIP Cheng Long, Sayantika Nag, Adrian Barbu
2023	J	`jnl`	Feature Selection for Forecasting. CoRR Hakan Pabuccu, Adrian Barbu
2023	J	`jnl`	Online Feature Screening for Data Streams With Concept Drift. IEEE Trans. Knowl. Data Eng. Mingyuan Wang, Adrian Barbu
2023	C	`conf`	Reliable Classification using Compact Support Probabilistic PCA. ICMLA Jason Zhang, Adrian Barbu
2023	J	`jnl`	Scalable Clustering: Large Scale Unsupervised Learning of Gaussian Mixture Models with Outliers. CoRR Yijia Zhou, Kyle A. Gallivan, Adrian Barbu
2023	J	`jnl`	Slow Kill for Big Data Learning. CoRR Yiyuan She, Jianhui Shen, Adrian Barbu
2023	J	`jnl`	Slow Kill for Big Data Learning. IEEE Trans. Inf. Theory Yiyuan She, Jiahui Shen, Adrian Barbu
2023	J	`jnl`	Training a Two Layer ReLU Network Analytically. CoRR Adrian Barbu
2023	J	`jnl`	Training a Two-Layer ReLU Network Analytically. Sensors Adrian Barbu
2022	B	`conf`	A Study of Shape Modeling Against Noise. ICIP Cheng Long, Adrian Barbu
2022	B	`conf`	Scalable Learning with Incremental Probabilistic PCA. IEEE Big Data Boshi Wang, Adrian Barbu
2021	B	`conf`	A Study of Local Optima for Learning Feature Interactions using Neural Networks. IJCNN Yangzi Guo, Ying Nian Wu, Adrian Barbu
2021	B	`conf`	Network Pruning via Annealing and Direct Sparsity Control. IJCNN Yangzi Guo, Yiyuan She, Adrian Barbu
2021	J	`jnl`	Online Feature Screening for Data Streams with Concept Drift. CoRR Mingyuan Wang, Adrian Barbu
2021	C	`conf`	Predicting Lane Change Decision Making with Compact Support. IV Hua Huang, Adrian Barbu
2021	J	`jnl`	The Compact Support Neural Network. CoRR Adrian Barbu, Hongyu Mou
2021	J	`jnl`	The Compact Support Neural Network. Sensors Adrian Barbu, Hongyu Mou
2020	J	`jnl`	A study of local optima for learning feature interactions using neural networks. CoRR Yangzi Guo, Adrian Barbu
2020	B	`conf`	Generating Compact Tree Ensembles via Annealing. IJCNN Gitesh Dawer, Yangzi Guo, Adrian Barbu
2020	B	`conf`	Neural Rule Ensembles: Encoding Sparse Feature Interactions into Neural Networks. IJCNN Gitesh Dawer, Yangzi Guo, Sida Liu, Adrian Barbu
2020	J	`jnl`	Neural Rule Ensembles: Encoding Sparse Feature Interactions into Neural Networks. CoRR Gitesh Dawer, Yangzi Guo, Sida Liu, Adrian Barbu
2020	A*	`conf`	The Generalization-Stability Tradeoff In Neural Network Pruning. NeurIPS Brian R. Bartoldson, Ari S. Morcos, Adrian Barbu, Gordon Erlebacher
2020	J	`jnl`	Training Efficient Network Architecture and Weights via Direct Sparsity Control. CoRR Yangzi Guo, Yiyuan She, Adrian Barbu
2020	A*	`conf`	Training a Steerable CNN for Guidewire Detection. CVPR Donghang Li, Adrian Barbu
2019	B	`conf`	Learning Chan-Vese. ICIP Orhan Akal, Adrian Barbu
2019	J	`jnl`	Playing Atari Ball Games with Hierarchical Reinforcement Learning. CoRR Hua Huang, Adrian Barbu
2019	J	`jnl`	The Generalization-Stability Tradeoff in Neural Network Pruning. CoRR Brian R. Bartoldson, Ari S. Morcos, Adrian Barbu, Gordon Erlebacher
2019	B	`conf`	Training a CNN for Guidewire Detection. ICIP Donghang Li, Adrian Barbu
2018	—	`conf`	A Decomposable Model for the Detection of Prostate Cancer in Multi-parametric MRI. MICCAI (2) 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
2018	C	`conf`	A Distributed Sensing Approach for Single Platform Image-Based Localization. ICMLA Orhan Akal, Tathagata Mukherjee, Adrian Barbu, Jared Devin Paquet, Kevin George, Eduardo L. Pasiliao
2018	B	`conf`	Accurate Dictionary Learning with Direct Sparsity Control. ICIP Hongyu Mou, Adrian Barbu
2018	J	`jnl`	An analysis of robust cost functions for CNN in computer-aided diagnosis. Comput. methods Biomech. Biomed. Eng. Imaging Vis. Adrian Barbu, Le Lu, Holger Roth, Ari Seff, Ronald M. Summers
2018	J	`jnl`	Are screening methods useful in feature selection? An empirical study. CoRR Mingyuan Wang, Adrian Barbu
2018	J	`jnl`	Enhancing the Regularization Effect of Weight Pruning in Artificial Neural Networks. CoRR Brian R. Bartoldson, Adrian Barbu, Gordon Erlebacher
2018	J	`jnl`	Online Regression with Model Selection. CoRR Lizhe Sun, Adrian Barbu
2018	J	`jnl`	Parameterized principal component analysis. Pattern Recognit. Ajay Gupta, Adrian Barbu
2018	J	`jnl`	RENOIR - A dataset for real low-light image noise reduction. J. Vis. Commun. Image Represent. Josue Anaya, Adrian Barbu
2018	J	`jnl`	Random Hinge Forest for Differentiable Learning. CoRR Nathan Lay, Adam P. Harrison, Sharon Schreiber, Gitesh Dawer, Adrian Barbu
2018	J	`jnl`	Unsupervised Learning of Mixture Models with a Uniform Background Component. CoRR Sida Liu, Adrian Barbu
2017	B	`conf`	A directed graph approach to active contours. ICIP Adrian Barbu
2017	J	`jnl`	Feature Selection with Annealing for Computer Vision and Big Data Learning. IEEE Trans. Pattern Anal. Mach. Intell. Adrian Barbu, Yiyuan She, Liangjing Ding, Gary Gramajo
2017	J	`jnl`	Relevant Ensemble of Trees. CoRR Gitesh Dawer, Adrian Barbu
2016	J	`jnl`	Parameterized Principal Component Analysis. CoRR Ajay Gupta, Adrian Barbu
2015	J	`jnl`	Editorial introduction to the CVIU special issue on "Generative models in computer vision and medical imaging". Comput. Vis. Image Underst. Adrian Barbu, Iasonas Kokkinos
2015	—	`conf`	Leveraging Mid-Level Semantic Boundary Cues for Automated Lymph Node Detection. MICCAI (2) Ari Seff, Le Lu, Adrian Barbu, Holger Roth, Hoo-Chang Shin, Ronald M. Summers
2014	J	`jnl`	Face Detection Using a 3D Model on Face Keypoints. CoRR Adrian Barbu, Gary Gramajo
2014	J	`jnl`	RENOIR - A Benchmark Dataset for Real Noise Reduction Evaluation. CoRR Josue Anaya, Adrian Barbu
2014	—	`ch.`	Swendsen-Wang Algorithm. Computer Vision, A Reference Guide Adrian Barbu
2014	—	`ch.`	Swendsen-Wang Cut Algorithm. Computer Vision, A Reference Guide Adrian Barbu
2014	J	`jnl`	Synthetic data generation for classification via uni-modal cluster interpolation. Auton. Robots Eric Joe Coyle, Rodney G. Roberts, Emmanuel G. Collins Jr., Adrian Barbu
2013	J	`jnl`	An Efficient Stochastic Clustering Auction for Heterogeneous Robotic Collaborative Teams. J. Intell. Robotic Syst. Kai Zhang, Emmanuel G. Collins Jr., Adrian Barbu
2013	J	`jnl`	Fast Simultaneous Feature Selection and Learning. CoRR Adrian Barbu, Yiyuan She
2013	J	`jnl`	Hierarchical Object Parsing from Structured Noisy Point Clouds. IEEE Trans. Pattern Anal. Mach. Intell. Adrian Barbu
2013	—	`conf`	Rates for Inductive Learning of Compositional Models. AAAI Workshop: Learning Rich Representations from Low-Level Sensors Adrian Barbu, Maria Pavlovskaia, Song Chun Zhu
2012	A*	`conf`	An efficient stochastic clustering auction for heterogeneous robot teams. ICRA Kai Zhang, Emmanuel G. Collins Jr., Adrian Barbu
2012	J	`jnl`	An introduction to artificial prediction markets for classification. J. Mach. Learn. Res. Adrian Barbu, Nathan Lay
2012	J	`jnl`	Automatic Detection and Segmentation of Lymph Nodes From CT Data. IEEE Trans. Medical Imaging Adrian Barbu, Michael Sühling, Xun Xu, David Liu, Shaohua Kevin Zhou, Dorin Comaniciu
2012	—	`conf`	Learning a Quality-Based Ranking for Feature Point Trajectories. ACCV (3) Liangjing Ding, Adrian Barbu, Anke Meyer-Baese
2012	—	`conf`	Motion Segmentation by Velocity Clustering with Estimation of Subspace Dimension. ACCV Workshops (2) Liangjing Ding, Adrian Barbu, Anke Meyer-Baese
2011	J	`jnl`	An Introduction to Artificial Prediction Markets for Classification CoRR Adrian Barbu, Nathan Lay
2011	J	`jnl`	Hierarchical Object Parsing from Noisy Point Clouds CoRR Adrian Barbu
2011	A*	`conf`	Learning-based hypothesis fusion for robust catheter tracking in 2D X-ray fluoroscopy. CVPR Wen Wu, Terrence Chen, Peng Wang, Shaohua Kevin Zhou, Dorin Comaniciu, Adrian Barbu, Norbert Strobel
2010	A	`conf`	A novel Stochastic Clustering Auction for task allocation in multi-robot teams. IROS Kai Zhang, Emmanuel G. Collins Jr., Adrian Barbu
2010	—	`conf`	Automatic Detection and Segmentation of Axillary Lymph Nodes. MICCAI (1) Adrian Barbu, Michael Sühling, Xun Xu, David Liu, Shaohua Kevin Zhou, Dorin Comaniciu
2010	A*	`conf`	Supervised Aggregation of Classifiers using Artificial Prediction Markets. ICML Nathan Lay, Adrian Barbu
2009	B	`conf`	Hierarchical parsing and semantic navigation of full body CT data. Image Processing Sascha Seifert, Adrian Barbu, Shaohua Kevin Zhou, David Liu, Johannes Feulner, Martin Huber, Michael Sühling, Alexander Cavallaro, Dorin Comaniciu
2009	A*	`conf`	Learning real-time MRF inference for image denoising. CVPR Adrian Barbu
2009	J	`jnl`	Training an Active Random Field for Real-Time Image Denoising. IEEE Trans. Image Process. Adrian Barbu
2008	—	`conf`	A learning based hierarchical model for vessel segmentation. ISBI Richard Socher, Adrian Barbu, Dorin Comaniciu
2008	A*	`conf`	Accurate polyp segmentation for 3D CT colongraphy using multi-staged probabilistic binary learning and compositional model. CVPR Le Lu, Adrian Barbu, Matthias Wolf, Jianming Liang, Marcos Salganicoff, Dorin Comaniciu
2008	J	`jnl`	Four-Chamber Heart Modeling and Automatic Segmentation for 3-D Cardiac CT Volumes Using Marginal Space Learning and Steerable Features. IEEE Trans. Medical Imaging Yefeng Zheng, Adrian Barbu, Bogdan Georgescu, Michael Scheuering, Dorin Comaniciu
2008	B	`conf`	Four-chamber heart modeling and automatic segmentation for 3D cardiac CT volumes. Image Processing Yefeng Zheng, Bogdan Georgescu, Adrian Barbu, Michael Scheuering, Dorin Comaniciu
2008	—	`conf`	Simultaneous Detection and Registration for Ileo-Cecal Valve Detection in 3D CT Colonography. ECCV (4) Le Lu, Adrian Barbu, Matthias Wolf, Jianming Liang, Luca Bogoni, Marcos Salganicoff, Dorin Comaniciu
2007	A*	`conf`	Fast Automatic Heart Chamber Segmentation from 3D CT Data Using Marginal Space Learning and Steerable Features. ICCV Yefeng Zheng, Adrian Barbu, Bogdan Georgescu, Michael Scheuering, Dorin Comaniciu
2007	A*	`conf`	Hierarchical Learning of Curves Application to Guidewire Localization in Fluoroscopy. CVPR Adrian Barbu, Vassilis Athitsos, Bogdan Georgescu, Stefan Böhm, Peter Durlak, Dorin Comaniciu
2006	—	`conf`	Hierarchical Part-Based Detection of 3D Flexible Tubes: Application to CT Colonoscopy. MICCAI (2) Adrian Barbu, Luca Bogoni, Dorin Comaniciu
2006	—	`conf`	Probabilistic 3D Polyp Detection in CT Images: The Role of Sample Alignment. CVPR (2) Zhuowen Tu, Xiang Sean Zhou, Luca Bogoni, Adrian Barbu, Dorin Comaniciu
2005	J	`jnl`	Generalizing Swendsen-Wang to Sampling Arbitrary Posterior Probabilities. IEEE Trans. Pattern Anal. Mach. Intell. Adrian Barbu, Song Chun Zhu
2005	A*	`conf`	Incorporating Visual Knowledge Representation in Stereo Reconstruction. ICCV Adrian Barbu, Song Chun Zhu
2004	—	`conf`	Motion Estimation by Swendsen-Wang Cuts. CVPR (1) Adrian Barbu, Alan L. Yuille
2004	—	`conf`	Multigrid and Multi-Level Swendsen-Wang Cuts for Hierarchic Graph Partition. CVPR (2) Adrian Barbu, Song Chun Zhu
2004	—	`conf`	On the Relationship Between Image and Motion Segmentation. SCVMA Adrian Barbu, Song Chun Zhu
2003	A*	`conf`	Graph Partition by Swendsen-Wang Cuts. ICCV Adrian Barbu, Song Chun Zhu