Alan Yuille

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Johns Hopkins University

Research Program Manager at Johns Hopkins University

Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation

Recently, Neural Architecture Search (NAS) has successfully identified n...
01/10/2019 ∙ by Chenxi Liu, et al. ∙ 38 ∙ share

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Adversarial Examples Improve Image Recognition

Adversarial examples are commonly viewed as a threat to ConvNets. Here w...
11/21/2019 ∙ by Cihang Xie, et al. ∙ 24 ∙ share

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Learning from Synthetic Animals

Despite great success in human parsing, progress for parsing other defor...
12/17/2019 ∙ by Jiteng Mu, et al. ∙ 19 ∙ share

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UPC: Learning Universal Physical Camouflage Attacks on Object Detectors

In this paper, we study physical adversarial attacks on object detectors...
09/10/2019 ∙ by Lifeng Huang, et al. ∙ 17 ∙ share

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ELASTIC: Improving CNNs with Instance Specific Scaling Policies

Scale variation has been a challenge from traditional to modern approach...
12/13/2018 ∙ by Huiyu Wang, et al. ∙ 16 ∙ share

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AtomNAS: Fine-Grained End-to-End Neural Architecture Search

Designing of search space is a critical problem for neural architecture ...
12/20/2019 ∙ by Jieru Mei, et al. ∙ 16 ∙ share

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Robust Object Detection under Occlusion with Context-Aware CompositionalNets

Detecting partially occluded objects is a difficult task. Our experiment...
05/24/2020 ∙ by Angtian Wang, et al. ∙ 16 ∙ share

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Are Labels Necessary for Neural Architecture Search?

Existing neural network architectures in computer vision — whether desig...
03/26/2020 ∙ by Chenxi Liu, et al. ∙ 14 ∙ share

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TDAPNet: Prototype Network with Recurrent Top-Down Attention for Robust Object Classification under Partial Occlusion

Despite deep convolutional neural networks' great success in object clas...
09/09/2019 ∙ by Mingqing Xiao, et al. ∙ 13 ∙ share

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Smooth Adversarial Training

It is commonly believed that networks cannot be both accurate and robust...
06/25/2020 ∙ by Cihang Xie, et al. ∙ 13 ∙ share

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Semantic Part Detection via Matching: Learning to Generalize to Novel Viewpoints from Limited Training Data

Detecting semantic parts of an object is a challenging task in computer ...
11/28/2018 ∙ by Yutong Bai, et al. ∙ 12 ∙ share

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CLEVR-Ref+: Diagnosing Visual Reasoning with Referring Expressions

Referring object detection and referring image segmentation are importan...
01/03/2019 ∙ by Runtao Liu, et al. ∙ 12 ∙ share

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Rethinking Monocular Depth Estimation with Adversarial Training

Monocular depth estimation is an extensively studied computer vision pro...
08/22/2018 ∙ by Richard Chen, et al. ∙ 10 ∙ share

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Structured Prediction using cGANs with Fusion Discriminator

We propose the fusion discriminator, a single unified framework for inco...
04/30/2019 ∙ by Faisal, et al. ∙ 10 ∙ share

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Multi-Scale Attentional Network for Multi-Focal Segmentation of Active Bleed after Pelvic Fractures

Trauma is the worldwide leading cause of death and disability in those y...
06/23/2019 ∙ by Yuyin Zhou, et al. ∙ 9 ∙ share

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RSA: Randomized Simulation as Augmentation for Robust Human Action Recognition

Despite the rapid growth in datasets for video activity, stable robust a...
12/03/2019 ∙ by Yi Zhang, et al. ∙ 8 ∙ share

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Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation

Convolution exploits locality for efficiency at a cost of missing long r...
03/17/2020 ∙ by Huiyu Wang, et al. ∙ 8 ∙ share

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Identity Preserve Transform: Understand What Activity Classification Models Have Learnt

Activity classification has observed great success recently. The perform...
12/13/2019 ∙ by Jialing Lyu, et al. ∙ 7 ∙ share

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Object as Hotspots: An Anchor-Free 3D Object Detection Approach via Firing of Hotspots

Accurate 3D object detection in LiDAR based point clouds suffers from th...
12/30/2019 ∙ by Qi Chen, et al. ∙ 7 ∙ share

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Synthesize then Compare: Detecting Failures and Anomalies for Semantic Segmentation

The ability to detect failures and anomalies are fundamental requirement...
03/18/2020 ∙ by Yingda Xia, et al. ∙ 6 ∙ share

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PatchAttack: A Black-box Texture-based Attack with Reinforcement Learning

Patch-based attacks introduce a perceptible but localized change to the ...
04/12/2020 ∙ by Chenglin Yang, et al. ∙ 6 ∙ share

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Organ at Risk Segmentation for Head and Neck Cancer using Stratified Learning and Neural Architecture Search

OAR segmentation is a critical step in radiotherapy of head and neck (H ...
04/17/2020 ∙ by Dazhou Guo, et al. ∙ 6 ∙ share

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Domain Adaptive Relational Reasoning for 3D Multi-Organ Segmentation

In this paper, we present a novel unsupervised domain adaptation (UDA) m...
05/18/2020 ∙ by Shuhao Fu, et al. ∙ 6 ∙ share

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Neural Architecture Search for Lightweight Non-Local Networks

Non-Local (NL) blocks have been widely studied in various vision tasks. ...
04/04/2020 ∙ by Yingwei Li, et al. ∙ 5 ∙ share

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Detecting Scatteredly-Distributed, Small, andCritically Important Objects in 3D OncologyImaging via Decision Stratification

Finding and identifying scatteredly-distributed, small, and critically i...
05/27/2020 ∙ by Zhuotun Zhu, et al. ∙ 4 ∙ share

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Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation

Although having achieved great success in medical image segmentation, de...
06/28/2020 ∙ by Yingda Xia, et al. ∙ 3 ∙ share

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V-NAS: Neural Architecture Search for Volumetric Medical Image Segmentation

Deep learning algorithms, in particular 2D and 3D fully convolutional ne...
06/06/2019 ∙ by Zhuotun Zhu, et al. ∙ 1 ∙ share

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Context-Aware Group Captioning via Self-Attention and Contrastive Features

While image captioning has progressed rapidly, existing works focus main...
04/07/2020 ∙ by Zhuowan Li, et al. ∙ 1 ∙ share

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Gradually Updated Neural Networks for Large-Scale Image Recognition

We present a simple yet effective neural network architecture for image ...
11/25/2017 ∙ by Siyuan Qiao, et al. ∙ 0 ∙ share

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Unleashing the Potential of CNNs for Interpretable Few-Shot Learning

Convolutional neural networks (CNNs) have been generally acknowledged as...
11/22/2017 ∙ by Boyang Deng, et al. ∙ 0 ∙ share

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Visual Concepts and Compositional Voting

It is very attractive to formulate vision in terms of pattern theory Mum...
11/13/2017 ∙ by Jianyu Wang, et al. ∙ 0 ∙ share

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Mitigating adversarial effects through randomization

Convolutional neural networks have demonstrated their powerful ability o...
11/06/2017 ∙ by Cihang Xie, et al. ∙ 0 ∙ share

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Joint Multi-Person Pose Estimation and Semantic Part Segmentation

Human pose estimation and semantic part segmentation are two complementa...
08/10/2017 ∙ by Fangting Xia, et al. ∙ 0 ∙ share

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Detecting Semantic Parts on Partially Occluded Objects

In this paper, we address the task of detecting semantic parts on partia...
07/25/2017 ∙ by Jianyu Wang, et al. ∙ 0 ∙ share

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Few-Shot Image Recognition by Predicting Parameters from Activations

In this paper, we are interested in the few-shot learning problem. In pa...
06/12/2017 ∙ by Siyuan Qiao, et al. ∙ 0 ∙ share

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Transfer of View-manifold Learning to Similarity Perception of Novel Objects

We develop a model of perceptual similarity judgment based on re-trainin...
03/31/2017 ∙ by Xingyu Lin, et al. ∙ 0 ∙ share

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Adversarial Examples for Semantic Segmentation and Object Detection

It has been well demonstrated that adversarial examples, i.e., natural i...
03/24/2017 ∙ by Cihang Xie, et al. ∙ 0 ∙ share

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Multi-stage Multi-recursive-input Fully Convolutional Networks for Neuronal Boundary Detection

In the field of connectomics, neuroscientists seek to identify cortical ...
03/24/2017 ∙ by Wei Shen, et al. ∙ 0 ∙ share

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Recurrent Multimodal Interaction for Referring Image Segmentation

In this paper we are interested in the problem of image segmentation giv...
03/23/2017 ∙ by Chenxi Liu, et al. ∙ 0 ∙ share

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SORT: Second-Order Response Transform for Visual Recognition

In this paper, we reveal the importance and benefits of introducing seco...
03/20/2017 ∙ by Yan Wang, et al. ∙ 0 ∙ share

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Progressive Neural Architecture Search

We propose a method for learning CNN structures that is more efficient t...
12/02/2017 ∙ by Chenxi Liu, et al. ∙ 0 ∙ share

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Genetic CNN

The deep Convolutional Neural Network (CNN) is the state-of-the-art solu...
03/04/2017 ∙ by Lingxi Xie, et al. ∙ 0 ∙ share

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Deep Collaborative Learning for Visual Recognition

Deep neural networks are playing an important role in state-of-the-art v...
03/03/2017 ∙ by Yan Wang, et al. ∙ 0 ∙ share

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UnrealStereo: A Synthetic Dataset for Analyzing Stereo Vision

Stereo algorithm is important for robotics applications, such as quadcop...
12/14/2016 ∙ by Yi Zhang, et al. ∙ 0 ∙ share

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Symmetric Non-Rigid Structure from Motion for Category-Specific Object Structure Estimation

Many objects, especially these made by humans, are symmetric, e.g. cars ...
09/22/2016 ∙ by Yuan Gao, et al. ∙ 0 ∙ share

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DeepSkeleton: Learning Multi-task Scale-associated Deep Side Outputs for Object Skeleton Extraction in Natural Images

Object skeletons are useful for object representation and object detecti...
09/13/2016 ∙ by Wei Shen, et al. ∙ 0 ∙ share

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UnrealCV: Connecting Computer Vision to Unreal Engine

Computer graphics can not only generate synthetic images and ground trut...
09/05/2016 ∙ by Weichao Qiu, et al. ∙ 0 ∙ share

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Multi-Instance Visual-Semantic Embedding

Visual-semantic embedding models have been recently proposed and shown t...
12/22/2015 ∙ by Zhou Ren, et al. ∙ 0 ∙ share

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Joint Object and Part Segmentation using Deep Learned Potentials

Segmenting semantic objects from images and parsing them into their resp...
05/01/2015 ∙ by Peng Wang, et al. ∙ 0 ∙ share

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The DLR Hierarchy of Approximate Inference

We propose a hierarchy for approximate inference based on the Dobrushin,...
07/04/2012 ∙ by Michal Rosen-Zvi, et al. ∙ 0 ∙ share

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Alan Yuille

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