Alan L. Yuille

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Johns Hopkins University

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

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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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. ∙ 0 ∙ share

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Alan L. Yuille

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