Alan Yuille

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Johns Hopkins University

Research Program Manager at Johns Hopkins University

Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network

Determining the spread of GTV_LN is essential in defining the respective...
08/29/2020 ∙ by Chun-Hung Chao, et al. ∙ 9 ∙ share

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Lymph Node Gross Tumor Volume Detection and Segmentation via Distance-based Gating using 3D CT/PET Imaging in Radiotherapy

Finding, identifying and segmenting suspicious cancer metastasized lymph...
08/27/2020 ∙ by Zhuotun Zhu, et al. ∙ 5 ∙ share

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ASAP-Net: Attention and Structure Aware Point Cloud Sequence Segmentation

Recent works of point clouds show that mulit-frame spatio-temporal model...
08/12/2020 ∙ by Hanwen Cao, et al. ∙ 4 ∙ share

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Probabilistic Multi-modal Trajectory Prediction with Lane Attention for Autonomous Vehicles

Trajectory prediction is crucial for autonomous vehicles. The planning s...
07/06/2020 ∙ by Chenxu Luo, 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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Compositional Convolutional Neural Networks: A Robust and Interpretable Model for Object Recognition under Occlusion

Computer vision systems in real-world applications need to be robust to ...
06/28/2020 ∙ by Adam Kortylewski, et al. ∙ 0 ∙ 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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DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution

Many modern object detectors demonstrate outstanding performances by usi...
06/03/2020 ∙ by Siyuan Qiao, et al. ∙ 0 ∙ 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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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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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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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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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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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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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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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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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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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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Compositional Convolutional Neural Networks: A Deep Architecture with Innate Robustness to Partial Occlusion

Recent work has shown that deep convolutional neural networks (DCNNs) do...
03/10/2020 ∙ by Adam Kortylewski, et al. ∙ 0 ∙ share

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When Radiology Report Generation Meets Knowledge Graph

Automatic radiology report generation has been an attracting research pr...
02/19/2020 ∙ by Yixiao Zhang, et al. ∙ 0 ∙ 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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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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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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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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Zero-shot Recognition of Complex Action Sequences

Zero-shot video classification for fine-grained activity recognition has...
12/08/2019 ∙ by Jonathan D. Jones, et al. ∙ 0 ∙ 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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Shape-aware Feature Extraction for Instance Segmentation

Modern instance segmentation approaches mainly adopt a sequential paradi...
11/25/2019 ∙ by Hao Ding, et al. ∙ 0 ∙ share

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Identifying Model Weakness with Adversarial Examiner

Machine learning models are usually evaluated according to the average c...
11/25/2019 ∙ by Michelle Shu, et al. ∙ 0 ∙ share

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Rethinking Normalization and Elimination Singularity in Neural Networks

In this paper, we study normalization methods for neural networks from t...
11/21/2019 ∙ by Siyuan Qiao, et al. ∙ 0 ∙ 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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Localizing Occluders with Compositional Convolutional Networks

Compositional convolutional networks are generative compositional models...
11/18/2019 ∙ by Adam Kortylewski, et al. ∙ 0 ∙ share

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Grouped Spatial-Temporal Aggregation for Efficient Action Recognition

Temporal reasoning is an important aspect of video analysis. 3D CNN show...
09/28/2019 ∙ by Chenxu Luo, et al. ∙ 0 ∙ 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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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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Hyper-Pairing Network for Multi-Phase Pancreatic Ductal Adenocarcinoma Segmentation

Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal cancer...
09/03/2019 ∙ by Yuyin Zhou, et al. ∙ 0 ∙ share

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FusionNet: Incorporating Shape and Texture for Abnormality Detection in 3D Abdominal CT Scans

Automatic abnormality detection in abdominal CT scans can help doctors i...
08/21/2019 ∙ by Fengze Liu, et al. ∙ 0 ∙ share

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Deep Differentiable Random Forests for Age Estimation

Age estimation from facial images is typically cast as a label distribut...
07/23/2019 ∙ by Wei Shen, et al. ∙ 0 ∙ 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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Intriguing properties of adversarial training

Adversarial training is one of the main defenses against adversarial att...
06/10/2019 ∙ by Cihang Xie, et al. ∙ 0 ∙ 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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Compositional Convolutional Networks For Robust Object Classification under Occlusion

Deep convolutional neural networks (DCNNs) are powerful models that yiel...
05/28/2019 ∙ by Adam Kortylewski, et al. ∙ 0 ∙ share

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Robustness of Object Recognition under Extreme Occlusion in Humans and Computational Models

Most objects in the visual world are partially occluded, but humans can ...
05/11/2019 ∙ by Hongru Zhu, et al. ∙ 0 ∙ 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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Prior-aware Neural Network for Partially-Supervised Multi-Organ Segmentation

Accurate multi-organ abdominal CT segmentation is essential to many clin...
04/12/2019 ∙ by Yuyin Zhou, et al. ∙ 0 ∙ share

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Semantic-Aware Knowledge Preservation for Zero-Shot Sketch-Based Image Retrieval

Sketch-based image retrieval (SBIR) is widely recognized as an important...
04/05/2019 ∙ by Qing Liu, et al. ∙ 0 ∙ share

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Weight Standardization

In this paper, we propose Weight Standardization (WS) to accelerate deep...
03/25/2019 ∙ by Siyuan Qiao, et al. ∙ 0 ∙ share

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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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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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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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Learning Transferable Adversarial Examples via Ghost Networks

The recent development of adversarial attack has proven that ensemble-ba...
12/09/2018 ∙ by Yingwei Li, et al. ∙ 0 ∙ share

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Alan Yuille

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