Alan L. Yuille

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Johns Hopkins University

Bloomberg Distinguished Professor of Cognitive Science and Computer Science at Johns Hopkins University

Segmentation for Classification of Screening Pancreatic Neuroendocrine Tumors

This work presents comprehensive results to detect in the early stage th...
04/04/2020 ∙ by Zhuotun Zhu, et al. ∙ 10 ∙ share

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CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Network

3D Convolution Neural Networks (CNNs) have been widely applied to 3D sce...
03/28/2020 ∙ by Qihang Yu, et al. ∙ 8 ∙ share

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Detecting Pancreatic Adenocarcinoma in Multi-phase CT Scans via Alignment Ensemble

Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal cancer...
03/18/2020 ∙ by Yingda Xia, et al. ∙ 0 ∙ share

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C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation

3D convolution neural networks (CNN) have been proved very successful in...
12/20/2019 ∙ by Qihang Yu, et al. ∙ 46 ∙ share

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Car Pose in Context: Accurate Pose Estimation with Ground Plane Constraints

Scene context is a powerful constraint on the geometry of objects within...
12/09/2019 ∙ by Pengfei Li, et al. ∙ 23 ∙ share

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Deep Distance Transform for Tubular Structure Segmentation in CT Scans

Tubular structure segmentation in medical images, e.g., segmenting vesse...
12/06/2019 ∙ by Yan Wang, et al. ∙ 17 ∙ share

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Adversarial Examples for Edge Detection: They Exist, and They Transfer

Convolutional neural networks have recently advanced the state of the ar...
06/02/2019 ∙ by Christian Cosgrove, et al. ∙ 0 ∙ share

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Patch-based 3D Human Pose Refinement

State-of-the-art 3D human pose estimation approaches typically estimate ...
05/20/2019 ∙ by Qingfu Wan, et al. ∙ 0 ∙ share

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Thickened 2D Networks for 3D Medical Image Segmentation

There has been a debate in medical image segmentation on whether to use ...
04/02/2019 ∙ by Qihang Yu, et al. ∙ 2 ∙ share

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Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses

This paper focuses on learning transferable adversarial examples specifi...
04/01/2019 ∙ by Yingwei Li, et al. ∙ 4 ∙ share

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Towards Accurate Task Accomplishment with Low-Cost Robotic Arms

Training a robotic arm to accomplish real-world tasks has been attractin...
12/03/2018 ∙ by Yiming Zuo, et al. ∙ 0 ∙ share

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Elastic Boundary Projection for 3D Medical Imaging Segmentation

We focus on an important yet challenging problem: using a 2D deep networ...
12/03/2018 ∙ by Tianwei Ni, et al. ∙ 0 ∙ share

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Iterative Reorganization with Weak Spatial Constraints: Solving Arbitrary Jigsaw Puzzles for Unsupervised Representation Learning

Learning visual features from unlabeled image data is an important yet c...
12/02/2018 ∙ by Chen Wei, et al. ∙ 0 ∙ share

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Snapshot Distillation: Teacher-Student Optimization in One Generation

Optimizing a deep neural network is a fundamental task in computer visio...
12/01/2018 ∙ by Chenglin Yang, et al. ∙ 0 ∙ share

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Progressive Recurrent Learning for Visual Recognition

Computer vision is difficult, partly because the mathematical function c...
11/29/2018 ∙ by Xutong Ren, et al. ∙ 0 ∙ share

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Phase Collaborative Network for Multi-Phase Medical Imaging Segmentation

Integrating multi-phase information is an effective way of boosting visu...
11/28/2018 ∙ by Huangjie Zheng, et al. ∙ 6 ∙ share

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PreCo: A Large-scale Dataset in Preschool Vocabulary for Coreference Resolution

We introduce PreCo, a large-scale English dataset for coreference resolu...
10/23/2018 ∙ by Hong Chen, et al. ∙ 0 ∙ share

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Multi-Scale Coarse-to-Fine Segmentation for Screening Pancreatic Ductal Adenocarcinoma

This paper proposes an intuitive approach to finding pancreatic ductal a...
07/09/2018 ∙ by Zhuotun Zhu, et al. ∙ 2 ∙ share

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Deep Nets: What have they ever done for Vision?

This is an opinion paper about the strengths and weaknesses of Deep Nets...
05/10/2018 ∙ by Alan L. Yuille, et al. ∙ 0 ∙ share

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Joint Shape Representation and Classification for Detecting PDAC

We aim to detect pancreatic ductal adenocarcinoma (PDAC) in abdominal CT...
04/27/2018 ∙ by Fengze Liu, et al. ∙ 0 ∙ share

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Abdominal multi-organ segmentation with organ-attention networks and statistical fusion

Accurate and robust segmentation of abdominal organs on CT is essential ...
04/23/2018 ∙ by Yan Wang, et al. ∙ 0 ∙ share

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Training Multi-organ Segmentation Networks with Sample Selection by Relaxed Upper Confident Bound

Deep convolutional neural networks (CNNs), especially fully convolutiona...
04/07/2018 ∙ by Yan Wang, et al. ∙ 0 ∙ share

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Semi-supervised multi-organ segmentation via multi-planar co-training

Multi-organ segmentation is a critical problem in medical image analysis...
04/07/2018 ∙ by Yuyin Zhou, et al. ∙ 0 ∙ share

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Multi-Scale Spatially-Asymmetric Recalibration for Image Classification

Convolution is spatially-symmetric, i.e., the visual features are indepe...
04/03/2018 ∙ by Yan Wang, et al. ∙ 0 ∙ share

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Bridging the Gap Between 2D and 3D Organ Segmentation

There has been a debate on whether to use 2D or 3D deep neural networks ...
04/02/2018 ∙ by Yingda Xia, et al. ∙ 0 ∙ share

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NDDR-CNN: Layer-wise Feature Fusing in Multi-Task CNN by Neural Discriminative Dimensionality Reduction

State-of-the-art Convolutional Neural Network (CNN) benefits a lot from ...
01/25/2018 ∙ by Yuan Gao, et al. ∙ 0 ∙ share

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Single-Shot Object Detection with Enriched Semantics

We propose a novel single shot object detection network named Detection ...
12/01/2017 ∙ by Zhishuai Zhang, et al. ∙ 0 ∙ share

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A 3D Coarse-to-Fine Framework for Automatic Pancreas Segmentation

In this paper, we adopt 3D CNNs to segment the pancreas in CT images. Al...
12/01/2017 ∙ by Zhuotun Zhu, et al. ∙ 0 ∙ share

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Adversarial Attacks Beyond the Image Space

Generating adversarial examples is an intriguing problem and an importan...
11/20/2017 ∙ by Xiaohui Zeng, et al. ∙ 0 ∙ share

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DeepVoting: An Explainable Framework for Semantic Part Detection under Partial Occlusion

In this paper, we study the task of detecting semantic parts of an objec...
09/14/2017 ∙ by Zhishuai Zhang, et al. ∙ 0 ∙ share

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Recurrent Saliency Transformation Network: Incorporating Multi-Stage Visual Cues for Small Organ Segmentation

We aim at segmenting small organs (e.g., the pancreas) from abdominal CT...
09/13/2017 ∙ by Qihang Yu, et al. ∙ 0 ∙ share

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Deep Supervision for Pancreatic Cyst Segmentation in Abdominal CT Scans

Automatic segmentation of an organ and its cystic region is a prerequisi...
06/22/2017 ∙ by Yuyin Zhou, et al. ∙ 0 ∙ share

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Multi-Context Attention for Human Pose Estimation

In this paper, we propose to incorporate convolutional neural networks w...
02/24/2017 ∙ by Xiao Chu, et al. ∙ 0 ∙ share

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Regularizing Face Verification Nets For Pain Intensity Regression

Limited labeled data are available for the research of estimating facial...
02/22/2017 ∙ by Feng Wang, et al. ∙ 0 ∙ share

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Generating Multiple Diverse Hypotheses for Human 3D Pose Consistent with 2D Joint Detections

We propose a method to generate multiple diverse and valid human pose hy...
02/08/2017 ∙ by Ehsan Jahangiri, et al. ∙ 0 ∙ share

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A Fixed-Point Model for Pancreas Segmentation in Abdominal CT Scans

Deep neural networks have been widely adopted for automatic organ segmen...
12/25/2016 ∙ by Yuyin Zhou, et al. ∙ 0 ∙ share

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Object Recognition with and without Objects

While recent deep neural networks have achieved a promising performance ...
11/20/2016 ∙ by Zhuotun Zhu, et al. ∙ 0 ∙ share

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Semi-Supervised Sparse Representation Based Classification for Face Recognition with Insufficient Labeled Samples

This paper addresses the problem of face recognition when there is only ...
09/12/2016 ∙ by Yuan Gao, et al. ∙ 0 ∙ share

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DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

In this work we address the task of semantic image segmentation with Dee...
06/02/2016 ∙ by Liang-Chieh Chen, et al. ∙ 0 ∙ share

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Attention to Scale: Scale-aware Semantic Image Segmentation

Incorporating multi-scale features in fully convolutional neural network...
11/10/2015 ∙ by Liang-Chieh Chen, et al. ∙ 0 ∙ share

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Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform

Deep convolutional neural networks (CNNs) are the backbone of state-of-a...
11/10/2015 ∙ by Liang-Chieh Chen, et al. ∙ 0 ∙ share

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Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation

Deep convolutional neural networks (DCNNs) trained on a large number of ...
02/09/2015 ∙ by George Papandreou, et al. ∙ 0 ∙ share

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Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs

Deep Convolutional Neural Networks (DCNNs) have recently shown state of ...
12/22/2014 ∙ by Liang-Chieh Chen, et al. ∙ 0 ∙ share

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Representing Data by a Mixture of Activated Simplices

We present a new model which represents data as a mixture of simplices. ...
12/12/2014 ∙ by Chunyu Wang, et al. ∙ 0 ∙ share

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Explain Images with Multimodal Recurrent Neural Networks

In this paper, we present a multimodal Recurrent Neural Network (m-RNN) ...
10/04/2014 ∙ by Junhua Mao, et al. ∙ 0 ∙ share

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The Secrets of Salient Object Segmentation

In this paper we provide an extensive evaluation of fixation prediction ...
06/11/2014 ∙ by Yin Li, et al. ∙ 0 ∙ share

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Robust Estimation of 3D Human Poses from a Single Image

Human pose estimation is a key step to action recognition. We propose a ...
06/09/2014 ∙ by Chunyu Wang, et al. ∙ 0 ∙ share

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Complexity of Representation and Inference in Compositional Models with Part Sharing

This paper describes serial and parallel compositional models of multipl...
01/16/2013 ∙ by Alan L. Yuille, et al. ∙ 0 ∙ share

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Probabilistic Motion Estimation Based on Temporal Coherence

We develop a theory for the temporal integration of visual motion motiva...
01/05/2012 ∙ by Pierre-Yves Burgi, et al. ∙ 0 ∙ share

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Alan L. Yuille

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