Alan L. Yuille

research

∙ 01/04/2022

External Attention Assisted Multi-Phase Splenic Vascular Injury Segmentation with Limited Data

The spleen is one of the most commonly injured solid organs in blunt abd...

Yuyin Zhou, et al. ∙

research

∙ 11/26/2021

In-painting Radiography Images for Unsupervised Anomaly Detection

We propose space-aware memory queues for in-painting and detecting anoma...

Tiange Xiang, et al. ∙

research

∙ 09/25/2021

Data, Assemble: Leveraging Multiple Datasets with Heterogeneous and Partial Labels

The success of deep learning relies heavily on large datasets with exten...

Mintong Kang, et al. ∙

research

∙ 06/17/2021

DeepLab2: A TensorFlow Library for Deep Labeling

DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a ...

Mark Weber, et al. ∙

research

∙ 05/31/2021

Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction

Pancreatic ductal adenocarcinoma (PDAC) is the third most common cause o...

Yan Wang, et al. ∙

research

∙ 03/09/2021

Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining

The boundary of tumors (hepatocellular carcinoma, or HCC) contains rich ...

Jieneng Chen, et al. ∙

research

∙ 03/08/2021

Multi-phase Deformable Registration for Time-dependent Abdominal Organ Variations

Human body is a complex dynamic system composed of various sub-dynamic p...

Seyoun Park, et al. ∙

research

∙ 11/30/2020

Nothing But Geometric Constraints: A Model-Free Method for Articulated Object Pose Estimation

We propose an unsupervised vision-based system to estimate the joint con...

Qihao Liu, et al. ∙

research

∙ 10/29/2020

Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-fine Framework and Its Adversarial Examples

Although deep neural networks have been a dominant method for many 2D vi...

Yingwei Li, et al. ∙

research

∙ 04/04/2020

Segmentation for Classification of Screening Pancreatic Neuroendocrine Tumors

This work presents comprehensive results to detect in the early stage th...

Zhuotun Zhu, et al. ∙

research

∙ 03/28/2020

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

3D Convolution Neural Networks (CNNs) have been widely applied to 3D sce...

Qihang Yu, et al. ∙

research

∙ 03/18/2020

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

Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal cancer...

Yingda Xia, et al. ∙

research

∙ 12/20/2019

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

3D convolution neural networks (CNN) have been proved very successful in...

Qihang Yu, et al. ∙

research

∙ 12/09/2019

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

Scene context is a powerful constraint on the geometry of objects within...

Pengfei Li, et al. ∙

research

∙ 12/06/2019

Deep Distance Transform for Tubular Structure Segmentation in CT Scans

Tubular structure segmentation in medical images, e.g., segmenting vesse...

Yan Wang, et al. ∙

research

∙ 06/02/2019

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

Convolutional neural networks have recently advanced the state of the ar...

Christian Cosgrove, et al. ∙

research

∙ 05/20/2019

Patch-based 3D Human Pose Refinement

State-of-the-art 3D human pose estimation approaches typically estimate ...

Qingfu Wan, et al. ∙

research

∙ 04/02/2019

Thickened 2D Networks for 3D Medical Image Segmentation

There has been a debate in medical image segmentation on whether to use ...

Qihang Yu, et al. ∙

research

∙ 04/01/2019

Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses

This paper focuses on learning transferable adversarial examples specifi...

Yingwei Li, et al. ∙

research

∙ 12/03/2018

Towards Accurate Task Accomplishment with Low-Cost Robotic Arms

Training a robotic arm to accomplish real-world tasks has been attractin...

Yiming Zuo, et al. ∙

research

∙ 12/03/2018

Elastic Boundary Projection for 3D Medical Imaging Segmentation

We focus on an important yet challenging problem: using a 2D deep networ...

Tianwei Ni, et al. ∙

research

∙ 12/02/2018

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...

Chen Wei, et al. ∙

research

∙ 12/01/2018

Snapshot Distillation: Teacher-Student Optimization in One Generation

Optimizing a deep neural network is a fundamental task in computer visio...

Chenglin Yang, et al. ∙

research

∙ 11/29/2018

Progressive Recurrent Learning for Visual Recognition

Computer vision is difficult, partly because the mathematical function c...

Xutong Ren, et al. ∙

research

∙ 11/28/2018

Phase Collaborative Network for Multi-Phase Medical Imaging Segmentation

Integrating multi-phase information is an effective way of boosting visu...

Huangjie Zheng, et al. ∙

research

∙ 10/23/2018

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

We introduce PreCo, a large-scale English dataset for coreference resolu...

Hong Chen, et al. ∙

research

∙ 07/09/2018

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

This paper proposes an intuitive approach to finding pancreatic ductal a...

Zhuotun Zhu, et al. ∙

research

∙ 05/10/2018

Deep Nets: What have they ever done for Vision?

This is an opinion paper about the strengths and weaknesses of Deep Nets...

Alan L. Yuille, et al. ∙

research

∙ 04/27/2018

Joint Shape Representation and Classification for Detecting PDAC

We aim to detect pancreatic ductal adenocarcinoma (PDAC) in abdominal CT...

Fengze Liu, et al. ∙

research

∙ 04/23/2018

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

Accurate and robust segmentation of abdominal organs on CT is essential ...

Yan Wang, et al. ∙

research

∙ 04/07/2018

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

Deep convolutional neural networks (CNNs), especially fully convolutiona...

Yan Wang, et al. ∙

research

∙ 04/07/2018

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

Multi-organ segmentation is a critical problem in medical image analysis...

Yuyin Zhou, et al. ∙

research

∙ 04/03/2018

Multi-Scale Spatially-Asymmetric Recalibration for Image Classification

Convolution is spatially-symmetric, i.e., the visual features are indepe...

Yan Wang, et al. ∙

research

∙ 04/02/2018

Bridging the Gap Between 2D and 3D Organ Segmentation

There has been a debate on whether to use 2D or 3D deep neural networks ...

Yingda Xia, et al. ∙

research

∙ 01/25/2018

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 ...

Yuan Gao, et al. ∙

research

∙ 12/01/2017

Single-Shot Object Detection with Enriched Semantics

We propose a novel single shot object detection network named Detection ...

Zhishuai Zhang, et al. ∙

research

∙ 12/01/2017

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...

Zhuotun Zhu, et al. ∙

research

∙ 11/20/2017

Adversarial Attacks Beyond the Image Space

Generating adversarial examples is an intriguing problem and an importan...

Xiaohui Zeng, et al. ∙

research

∙ 09/14/2017

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...

Zhishuai Zhang, et al. ∙

research

∙ 09/13/2017

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...

Qihang Yu, et al. ∙

research

∙ 06/22/2017

Deep Supervision for Pancreatic Cyst Segmentation in Abdominal CT Scans

Automatic segmentation of an organ and its cystic region is a prerequisi...

Yuyin Zhou, et al. ∙

research

∙ 02/24/2017

Multi-Context Attention for Human Pose Estimation

In this paper, we propose to incorporate convolutional neural networks w...

Xiao Chu, et al. ∙

research

∙ 02/22/2017

Regularizing Face Verification Nets For Pain Intensity Regression

Limited labeled data are available for the research of estimating facial...

Feng Wang, et al. ∙

research

∙ 02/08/2017

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...

Ehsan Jahangiri, et al. ∙

research

∙ 12/25/2016

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

Deep neural networks have been widely adopted for automatic organ segmen...

Yuyin Zhou, et al. ∙

research

∙ 11/20/2016

Object Recognition with and without Objects

While recent deep neural networks have achieved a promising performance ...

Zhuotun Zhu, et al. ∙

research

∙ 09/12/2016

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 ...

Yuan Gao, et al. ∙

research

∙ 06/02/2016

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...

Liang-Chieh Chen, et al. ∙

research

∙ 11/10/2015

Attention to Scale: Scale-aware Semantic Image Segmentation

Incorporating multi-scale features in fully convolutional neural network...

Liang-Chieh Chen, et al. ∙

research

∙ 11/10/2015

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...

Liang-Chieh Chen, et al. ∙

Alan L. Yuille

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