David Liu

According to our database, David Liu authored at least 35 papers between 2004 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Feature-Align Network with Knowledge Distillation for Efficient Denoising.

Lucas D. Young, Fitsum A. Reda, Rakesh Ranjan, Jon Morton, Jun Hu, Yazhu Ling, Xiaoyu Xiang, David Liu, Vikas Chandra

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2022

2021

Feature-Align Network and Knowledge Distillation for Efficient Denoising.

Lucas D. Young, Fitsum A. Reda, Rakesh Ranjan, Jon Morton, Jun Hu, Yazhu Ling, Xiaoyu Xiang, David Liu, Vikas Chandra

CoRR, 2021

2017

Deep Learning Based Automatic Segmentation of Pathological Kidney in CT: Local Versus Global Image Context.

Yefeng Zheng, David Liu, Bogdan Georgescu, Daguang Xu, Dorin Comaniciu

Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017

Robust Landmark Detection in Volumetric Data with Efficient 3D Deep Learning.

Yefeng Zheng, David Liu, Bogdan Georgescu, Hien Nguyen, Dorin Comaniciu

Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017

Supervised Action Classifier: Approaching Landmark Detection as Image Partitioning.

Zhoubing Xu, Qiangui Huang, Jin Hyeong Park, Mingqing Chen, Daguang Xu, Dong Yang, David Liu, Shaohua Kevin Zhou

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Automatic Vertebra Labeling in Large-Scale 3D CT Using Deep Image-to-Image Network with Message Passing and Sparsity Regularization.

Dong Yang, Tao Xiong, Daguang Xu, Qiangui Huang, David Liu, Shaohua Kevin Zhou, Zhoubing Xu, Jin Hyeong Park, Mingqing Chen, Trac D. Tran, Sang Peter Chin, Dimitris N. Metaxas, Dorin Comaniciu

Proceedings of the Information Processing in Medical Imaging, 2017

2016

Robust 3D Organ Localization with Dual Learning Architectures and Fusion.

Xiaoguang Lu, Daguang Xu, David Liu

Proceedings of the Deep Learning and Data Labeling for Medical Applications, 2016

2015

3D Deep Learning for Efficient and Robust Landmark Detection in Volumetric Data.

Yefeng Zheng, David Liu, Bogdan Georgescu, Hien Nguyen, Dorin Comaniciu

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

2013

Anatomical landmark detection using multiple instance boosting with spatial regularization.

Paul Swoboda, David Liu, Shaohua Kevin Zhou

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

2012

Automatic Detection and Segmentation of Lymph Nodes From CT Data.

Adrian Barbu, Michael Sühling, Xun Xu, David Liu, Shaohua Kevin Zhou, Dorin Comaniciu

IEEE Trans. Medical Imaging, 2012

A Cascade Learning Method for Liver Lesion Detection in CT Images.

Dijia Wu, David Liu, Michael Sühling, Shaohua Kevin Zhou, Christian Tietjen

Proceedings of the Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging, 2012

Anatomical Landmark Detection Using Nearest Neighbor Matching and Submodular Optimization.

David Liu, Shaohua Kevin Zhou

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Automatic detection of liver lesion from 3D computed tomography images.

Dijia Wu, David Liu, Michael Sühling, Christian Tietjen, Grzegorz Soza, Shaohua Kevin Zhou

Proceedings of the 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2012

A learning based deformable template matching method for automatic rib centerline extraction and labeling in CT images.

Dijia Wu, David Liu, Zoltan Puskas, Chao Lu, Andreas Wimmer, Christian Tietjen, Grzegorz Soza, Shaohua Kevin Zhou

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

Automatic Contrast Phase Estimation in CT Volumes.

Michal Sofka, Dijia Wu, Michael Sühling, David Liu, Christian Tietjen, Grzegorz Soza, Shaohua Kevin Zhou

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

2010

A Hierarchical Visual Model for Video Object Summarization.

David Liu, Gang Hua, Tsuhan Chen

IEEE Trans. Pattern Anal. Mach. Intell., 2010

Automatic Detection and Segmentation of Axillary Lymph Nodes.

Adrian Barbu, Michael Sühling, Xun Xu, David Liu, Shaohua Kevin Zhou, Dorin Comaniciu

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Search strategies for multiple landmark detection by submodular maximization.

David Liu, Shaohua Kevin Zhou, Dominik Bernhardt, Dorin Comaniciu

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Body landmark detection for a fully automatic AAA stent graft planning software system.

Jan Egger, Shaohua Kevin Zhou, Stefan Großkopf, David Liu, Christian Hopfgartner, Dominik Bernhardt, Christina Biermann, Christopher Nimsky, Bernd Freisleben

Proceedings of the IEEE 23rd International Symposium on Computer-Based Medical Systems (CBMS 2010), 2010

2009

Video retrieval based on object discovery.

David Liu, Tsuhan Chen

Comput. Vis. Image Underst., 2009

Hierarchical parsing and semantic navigation of full body CT data.

Sascha Seifert, Adrian Barbu, Shaohua Kevin Zhou, David Liu, Johannes Feulner, Martin Huber, Michael Sühling, Alexander Cavallaro, Dorin Comaniciu

Proceedings of the Medical Imaging 2009: Image Processing, 2009

2008

DISCOV: A Framework for Discovering Objects in Video.

David Liu, Tsuhan Chen

IEEE Trans. Multim., 2008

Object discovery with perceptual grouping.

David Liu, Tsuhan Chen

Proceedings of the International Conference on Image Processing, 2008

VideoCut: Removing Irrelevant Frames by Discovering the Object of Interest.

David Liu, Gang Hua, Tsuhan Chen

Proceedings of the Computer Vision, 2008

Integrated feature selection and higher-order spatial feature extraction for object categorization.

David Liu, Gang Hua, Paul A. Viola, Tsuhan Chen

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007

Background Cutout with Automatic Object Discovery.

David Liu, Tsuhan Chen

Proceedings of the International Conference on Image Processing, 2007

Unsupervised Image Categorization and Object Localization using Topic Models and Correspondences between Images.

David Liu, Tsuhan Chen

Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

A Topic-Motion Model for Unsupervised Video Object Discovery.

David Liu, Tsuhan Chen

Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006

Latent Layout Analysis for Discovering Objects in Images.

David Liu, Datong Chen, Tsuhan Chen

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Content-Free Image Retrieval using Bayesian Product Rule.

David Liu, Tsuhan Chen

Proceedings of the 2006 IEEE International Conference on Multimedia and Expo, 2006

Unsupervised Image Layout Extraction.

David Liu, Datong Chen, Tsuhan Chen

Proceedings of the International Conference on Image Processing, 2006

Object Detection in Video with Graphical Models.

David Liu, Tsuhan Chen

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Semantic-Shift for Unsupervised Object Detection.

David Liu, Tsuhan Chen

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006

2005

Probabilistic Relevance Feedback with Binary Semantic Feature Vectors.

David Liu, Tsuhan Chen

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004

Soft shape context for iterative closest point registration.

David Liu, Tsuhan Chen

Proceedings of the 2004 International Conference on Image Processing, 2004