Auto-Context and Its Application to High-Level Vision Tasks and 3D Brain Image Segmentation von Tu, Zhuowen, Bai, Xiang

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Cluster-Based Co-Saliency Detection von Fu, Huazhu, Cao, Xiaochun, Tu, Zhuowen

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Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification von Xie, Saining, Sun, Chen, Huang, Jonathan, Tu, Zhuowen, Murphy, Kevin

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Generalizing Pooling Functions in CNNs: Mixed, Gated, and Tree von Chen-Yu Lee, Gallagher, Patrick, Zhuowen Tu

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Robust Point Matching via Vector Field Consensus von Ma, Jiayi, Zhao, Ji, Tian, Jinwen, Yuille, Alan L., Tu, Zhuowen

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Similarity network fusion for aggregating data types on a genomic scale von Wang, Bo, Mezlini, Aziz M, Demir, Feyyaz, Fiume, Marc, Tu, Zhuowen, Brudno, Michael, Haibe-Kains, Benjamin, Goldenberg, Anna

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Robust Brain Extraction Across Datasets and Comparison With Publicly Available Methods von Iglesias, J. E., Cheng-Yi Liu, Thompson, P. M., Zhuowen Tu

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Auto-context and its application to high-level vision tasks von Zhuowen Tu

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Brain Anatomical Structure Segmentation by Hybrid Discriminative/Generative Models von Zhuowen Tu, Narr, K.L., Dollar, P., Dinov, I., Thompson, P.M., Toga, A.W.

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Regularized vector field learning with sparse approximation for mismatch removal von Ma, Jiayi, Zhao, Ji, Tian, Jinwen, Bai, Xiang, Tu, Zhuowen

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Unsupervised Object Class Discovery via Saliency-Guided Multiple Class Learning von Jun-Yan Zhu, Jiajun Wu, Yan Xu, Chang, Eric, Zhuowen Tu

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Detecting texts of arbitrary orientations in natural images von Cong Yao, Xiang Bai, Wenyu Liu, Yi Ma, Zhuowen Tu

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Weakly supervised histopathology cancer image segmentation and classification von Xu, Yan, Zhu, Jun-Yan, Chang, Eric I-Chao, Lai, Maode, Tu, Zhuowen

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Holistically-Nested Edge Detection von Xie, Saining, Tu, Zhuowen

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Learning Context-Sensitive Shape Similarity by Graph Transduction von Xiang Bai, Xingwei Yang, Latecki, L.J., Wenyu Liu, Zhuowen Tu

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Co-Transduction for Shape Retrieval von Bai, Xiang, Wang, Bo, Yao, Cong, Liu, Wenyu, Tu, Zhuowen

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Learning Generative Models via Discriminative Approaches von Zhuowen Tu

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Automated hippocampal shape analysis predicts the onset of dementia in mild cognitive impairment von Costafreda, Sergi G., Dinov, Ivo D., Tu, Zhuowen, Shi, Yonggang, Liu, Cheng-Yi, Kloszewska, Iwona, Mecocci, Patrizia, Soininen, Hilkka, Tsolaki, Magda, Vellas, Bruno, Wahlund, Lars-Olof, Spenger, Christian, Toga, Arthur W., Lovestone, Simon, Simmons, Andrew

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Comparison of AdaBoost and Support Vector Machines for Detecting Alzheimer's Disease Through Automated Hippocampal Segmentation von Morra, J.H., Zhuowen Tu, Apostolova, L.G., Green, A.E., Toga, A.W., Thompson, P.M.

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Probabilistic boosting-tree: learning discriminative models for classification, recognition, and clustering von Zhuowen Tu

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