Search Results - "Yuille, Alan L."

Non-Rigid Point Set Registration by Preserving Global and Local Structures by Jiayi Ma, Ji Zhao, Yuille, Alan L.

“…In previous work on point registration, the input point sets are often represented using Gaussian mixture models and the registration is then addressed through…”
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Robust Point Matching via Vector Field Consensus by Ma, Jiayi, Zhao, Ji, Tian, Jinwen, Yuille, Alan L., Tu, Zhuowen

“…In this paper, we propose an efficient algorithm, called vector field consensus, for establishing robust point correspondences between two sets of points. Our…”
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Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation by Liu, Chenxi, Chen, Liang-Chieh, Schroff, Florian, Adam, Hartwig, Hua, Wei, Yuille, Alan L., Fei-Fei, Li

“…Recently, Neural Architecture Search (NAS) has successfully identified neural network architectures that exceed human designed ones on large-scale image…”
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Weakly-and Semi-Supervised Learning of a Deep Convolutional Network for Semantic Image Segmentation by Papandreou, George, Liang-Chieh Chen, Murphy, Kevin P., Yuille, Alan L.

“…Deep convolutional neural networks (DCNNs) trained on a large number of images with strong pixel-level annotations have recently significantly pushed the…”
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Utility of CT Radiomics Features in Differentiation of Pancreatic Ductal Adenocarcinoma From Normal Pancreatic Tissue by Chu, Linda C, Park, Seyoun, Kawamoto, Satomi, Fouladi, Daniel F, Shayesteh, Shahab, Zinreich, Eva S, Graves, Jefferson S, Horton, Karen M, Hruban, Ralph H, Yuille, Alan L, Kinzler, Kenneth W, Vogelstein, Bert, Fishman, Elliot K

“…The objective of our study was to determine the utility of radiomics features in differentiating CT cases of pancreatic ductal adenocarcinoma (PDAC) from…”
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Universal Physical Camouflage Attacks on Object Detectors by Huang, Lifeng, Gao, Chengying, Zhou, Yuyin, Xie, Cihang, Yuille, Alan L., Zou, Changqing, Liu, Ning

“…In this paper, we study physical adversarial attacks on object detectors in the wild. Previous works mostly craft instance-dependent perturbations only for…”
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C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation by Yu, Qihang, Yang, Dong, Roth, Holger, Bai, Yutong, Zhang, Yixiao, Yuille, Alan L., Xu, Daguang

“…3D convolution neural networks (CNN) have been proved very successful in parsing organs or tumours in 3D medical images, but it remains sophisticated and…”
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Non-negative matrix factorization of multimodal MRI, fMRI and phenotypic data reveals differential changes in default mode subnetworks in ADHD by Anderson, Ariana, Douglas, Pamela K., Kerr, Wesley T., Haynes, Virginia S., Yuille, Alan L., Xie, Jianwen, Wu, Ying Nian, Brown, Jesse A., Cohen, Mark S.

“…In the multimodal neuroimaging framework, data on a single subject are collected from inherently different sources such as functional MRI, structural MRI,…”
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Context-Aware Group Captioning via Self-Attention and Contrastive Features by Li, Zhuowan, Tran, Quan, Mai, Long, Lin, Zhe, Yuille, Alan L.

“…While image captioning has progressed rapidly, existing works focus mainly on describing single images. In this paper, we introduce a new task, context-aware…”
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Bayesian Generic Priors for Causal Learning by Lu, Hongjing, Yuille, Alan L, Liljeholm, Mimi, Cheng, Patricia W, Holyoak, Keith J

“…The article presents a Bayesian model of causal learning that incorporates generic priors -systematic assumptions about abstract properties of a system of…”
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Deep Distance Transform for Tubular Structure Segmentation in CT Scans by Wang, Yan, Wei, Xu, Liu, Fengze, Chen, Jieneng, Zhou, Yuyin, Shen, Wei, Fishman, Elliot K., Yuille, Alan L.

“…Tubular structure segmentation in medical images, e.g., segmenting vessels in CT scans, serves as a vital step in the use of computers to aid in screening…”
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Application of Deep Learning to Pancreatic Cancer Detection: Lessons Learned From Our Initial Experience by Chu, Linda C., Park, Seyoun, Kawamoto, Satomi, Wang, Yan, Zhou, Yuyin, Shen, Wei, Zhu, Zhuotun, Xia, Yingda, Xie, Lingxi, Liu, Fengze, Yu, Qihang, Fouladi, Daniel F., Shayesteh, Shahab, Zinreich, Eva, Graves, Jefferson S., Horton, Karen M., Yuille, Alan L., Hruban, Ralph H., Kinzler, Kenneth W., Vogelstein, Bert, Fishman, Elliot K.

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Image Parsing: Unifying Segmentation, Detection, and Recognition by Tu, Zhuowen, Chen, Xiangrong, Yuille, Alan L., Zhu, Song-Chun

“…In this paper we present a Bayesian framework for parsing images into their constituent visual patterns. The parsing algorithm optimizes the posterior…”
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Deep Nets: What have They Ever Done for Vision? by Yuille, Alan L., Liu, Chenxi

“…This is an opinion paper about the strengths and weaknesses of Deep Nets for vision. They are at the heart of the enormous recent progress in artificial…”
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Pancreatic Cancer Imaging: A New Look at an Old Problem by Chu, Linda C., Park, Seyoun, Kawamoto, Satomi, Yuille, Alan L., Hruban, Ralph H., Fishman, Elliot K.

“…Computed tomography is the most commonly used imaging modality to detect and stage pancreatic cancer. Previous advances in pancreatic cancer imaging have…”
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Semi-Supervised Sparse Representation Based Classification for Face Recognition With Insufficient Labeled Samples by Yuan Gao, Jiayi Ma, Yuille, Alan L.

“…This paper addresses the problem of face recognition when there is only few, or even only a single, labeled examples of the face that we wish to recognize…”
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DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs by Liang-Chieh Chen, Papandreou, George, Kokkinos, Iasonas, Murphy, Kevin, Yuille, Alan L.

“…In this work we address the task of semantic image segmentation with Deep Learning and make three main contributions that are experimentally shown to have…”
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Abdominal multi-organ segmentation with organ-attention networks and statistical fusion by Wang, Yan, Zhou, Yuyin, Shen, Wei, Park, Seyoun, Fishman, Elliot K., Yuille, Alan L.

“…•A novel deep network framework for accurate multi-organ segmentation on abdominal CT.•Organ-attention network to enhance discriminative information from…”
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Improving Transferability of Adversarial Examples With Input Diversity by Xie, Cihang, Zhang, Zhishuai, Zhou, Yuyin, Bai, Song, Wang, Jianyu, Ren, Zhou, Yuille, Alan L.

“…Though CNNs have achieved the state-of-the-art performance on various vision tasks, they are vulnerable to adversarial examples --- crafted by adding…”
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NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction by Gao, Yuan, Ma, Jiayi, Zhao, Mingbo, Liu, Wei, Yuille, Alan L.

“…In this paper, we propose a novel Convolutional Neural Network (CNN) structure for general-purpose multi-task learning (MTL), which enables automatic feature…”
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