Dashan Gao

According to our database, Dashan Gao authored at least 30 papers between 2004 and 2024.

Collaborative distances:

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

2024

MobileInst: Video Instance Segmentation on the Mobile.

Renhong Zhang, Tianheng Cheng, Shusheng Yang, Haoyi Jiang, Shuai Zhang, Jiancheng Lyu, Xin Li, Xiaowen Ying, Dashan Gao, Wenyu Liu, Xinggang Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

POP: Prompt Of Prompts for Continual Learning.

Zhiyuan Hu, Jiancheng Lyu, Dashan Gao, Nuno Vasconcelos

CoRR, 2023

Dense Network Expansion for Class Incremental Learning.

Zhiyuan Hu, Yunsheng Li, Jiancheng Lyu, Dashan Gao, Nuno Vasconcelos

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021

Body Part Regression With Self-Supervision.

Yucheng Tang, Riqiang Gao, Shizhong Han, Yunqiang Chen, Dashan Gao, Vishwesh Nath, Camilo Bermudez, Michael R. Savona, Shunxing Bao, Ilwoo Lyu, Yuankai Huo, Bennett A. Landman

IEEE Trans. Medical Imaging, 2021

High-resolution 3D abdominal segmentation with random patch network fusion.

Yucheng Tang, Riqiang Gao, Ho Hin Lee, Shizhong Han, Yunqiang Chen, Dashan Gao, Vishwesh Nath, Camilo Bermudez, Michael R. Savona, Richard G. Abramson, Shunxing Bao, Ilwoo Lyu, Yuankai Huo, Bennett A. Landman

Medical Image Anal., 2021

2020

Outlier guided optimization of abdominal segmentation.

Yuchen Xu, Olivia Tang, Yucheng Tang, Ho Hin Lee, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman

Proceedings of the Medical Imaging 2020: Image Processing, 2020

Validation and optimization of multi-organ segmentation on clinical imaging archives.

Olivia Tang, Yuchen Xu, Yucheng Tang, Ho Hin Lee, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman

Proceedings of the Medical Imaging 2020: Image Processing, 2020

Contrast phase classification with a generative adversarial network.

Yucheng Tang, Ho Hin Lee, Yuchen Xu, Olivia Tang, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Camilo Bermudez, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman

Proceedings of the Medical Imaging 2020: Image Processing, 2020

Finding novelty with uncertainty.

Jacob C. Reinhold, Yufan He, Shizhong Han, Yunqiang Chen, Dashan Gao, Junghoon Lee, Jerry L. Prince, Aaron Carass

Proceedings of the Medical Imaging 2020: Image Processing, 2020

Semi-supervised multi-organ segmentation through quality assurance supervision.

Ho Hin Lee, Yucheng Tang, Olivia Tang, Yuchen Xu, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman

Proceedings of the Medical Imaging 2020: Image Processing, 2020

Validating Uncertainty in Medical Image Translation.

Jacob C. Reinhold, Yufan He, Shizhong Han, Yunqiang Chen, Dashan Gao, Junghoon Lee, Jerry L. Prince, Aaron Carass

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Deep Feature Disentanglement Learning for Bone Suppression in Chest Radiographs.

Chunze Lin, Ruixiang Tang, Darryl D. Lin, Langechuan Liu, Jiwen Lu, Yunqiang Chen, Dashan Gao, Jie Zhou

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Stochastic tissue window normalization of deep learning on computed tomography.

Yuankai Huo, Yucheng Tang, Yunqiang Chen, Dashan Gao, Shizhong Han, Shunxing Bao, Smita De, James G. Terry, John Jeffrey Carr, Richard G. Abramson, Bennett A. Landman

CoRR, 2019

Bronchus Segmentation and Classification by Neural Networks and Linear Programming.

Tianyi Zhao, Zhaozheng Yin, Jiao Wang, Dashan Gao, Yunqiang Chen, Yunxiang Mao

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Breast Mass Detection in Mammograms via Blending Adversarial Learning.

Chunze Lin, Ruixiang Tang, Darryl D. Lin, Langechuan Liu, Jiwen Lu, Yunqiang Chen, Dashan Gao, Jie Zhou

Proceedings of the Simulation and Synthesis in Medical Imaging, 2019

Volumetric Attention for 3D Medical Image Segmentation and Detection.

Xudong Wang, Shizhong Han, Yunqiang Chen, Dashan Gao, Nuno Vasconcelos

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Towards Universal Object Detection by Domain Attention.

Xudong Wang, Zhaowei Cai, Dashan Gao, Nuno Vasconcelos

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Lung segmentation in CT images using a fully convolutional neural network with multi-instance and conditional adversary loss.

Tianyi Zhao, Dashan Gao, Jiao Wang, Zhaozheng Yin

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Fully convolutional neural networks for prostate cancer detection using multi-parametric magnetic resonance images: an initial investigation.

Yunzhi Wang, Bin Zheng, Dashan Gao, Jiao Wang

Proceedings of the 24th International Conference on Pattern Recognition, 2018

2015

Scene classification with semantic Fisher vectors.

Mandar Dixit, Si Chen, Dashan Gao, Nikhil Rasiwasia, Nuno Vasconcelos

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2009

Discriminant Saliency, the Detection of Suspicious Coincidences, and Applications to Visual Recognition.

Dashan Gao, Sunhyoung Han, Nuno Vasconcelos

IEEE Trans. Pattern Anal. Mach. Intell., 2009

Decision-Theoretic Saliency: Computational Principles, Biological Plausibility, and Implications for Neurophysiology and Psychophysics.

Dashan Gao, Nuno Vasconcelos

Neural Comput., 2009

2007

An Experimental Comparison of Three Guiding Principles for the Detection of Salient Image Locations: Stability, Complexity, and Discrimination.

Dashan Gao, Nuno Vasconcelos

Proceedings of the Attention in Cognitive Systems. Theories and Systems from an Interdisciplinary Viewpoint, 2007

The discriminant center-surround hypothesis for bottom-up saliency.

Dashan Gao, Vijay Mahadevan, Nuno Vasconcelos

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Decompose Document Image Using Integer Linear Programming.

Dashan Gao, Yizhou Wang, Haitham A. Hindi, Minh Do

Proceedings of the 9th International Conference on Document Analysis and Recognition (ICDAR 2007), 2007

Bottom-up saliency is a discriminant process.

Dashan Gao, Nuno Vasconcelos

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

Decomposing Document Images by Heuristic Search.

Dashan Gao, Yizhou Wang

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2007

Discriminant Interest Points are Stable.

Dashan Gao, Nuno Vasconcelos

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

2005

Integrated Learning of Saliency, Complex Features, and Object Detectors from Cluttered Scenes.

Dashan Gao, Nuno Vasconcelos

Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

2004

Discriminant Saliency for Visual Recognition from Cluttered Scenes.

Dashan Gao, Nuno Vasconcelos

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004