Johns Hopkins University

∙ Baltimore , United States ∙ 0 followers

Johns Hopkins, founded in 1876, is America's first research university and home to nine world-class academic divisions working together as one university

Featured Researchers

Nassir Navab
175 publications
Xin Li
134 publications
Yan Zhang
120 publications
Alan Yuille
119 publications
Yi Zhang
115 publications
Han Liu
102 publications
Shinji Watanabe
92 publications
Li Chen
79 publications
Le Lu
75 publications
Carey E. Priebe
75 publications
Vishal M. Patel
74 publications

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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A general approach to progressive intelligence

In biological learning, data is used to improve performance on the task ...
04/27/2020 ∙ by Joshua T. Vogelstein, et al. ∙ 41 ∙ share

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The Chi-Square Test of Distance Correlation

Distance correlation has gained much recent attention in the statistics ...
12/27/2019 ∙ by Cencheng Shen, et al. ∙ 37 ∙ share

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OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations

We present a novel model called OCGAN for the classical problem of one-c...
03/20/2019 ∙ by Pramuditha Perera, et al. ∙ 22 ∙ share

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Deep Sparse Representation-based Classification

We present a transductive deep learning-based formulation for the sparse...
04/24/2019 ∙ by Mahdi Abavisani, et al. ∙ 22 ∙ share

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Pelvis Surface Estimation From Partial CT for Computer-Aided Pelvic Osteotomies

Computer-aided surgical systems commonly use preoperative CT scans when ...
09/23/2019 ∙ by Robert Grupp, et al. ∙ 22 ∙ share

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Pyramid Convolutional RNN for MRI Reconstruction

Fast and accurate MRI image reconstruction from undersampled data is cri...
12/02/2019 ∙ by Puyang Wang, et al. ∙ 21 ∙ 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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Deep CNN-based Multi-task Learning for Open-Set Recognition

We propose a novel deep convolutional neural network (CNN) based multi-t...
03/07/2019 ∙ by Poojan Oza, et al. ∙ 18 ∙ share

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Incremental Learning for Metric-Based Meta-Learners

Majority of the modern meta-learning methods for few-shot classification...
02/11/2020 ∙ by Qing Liu, et al. ∙ 17 ∙ 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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Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting

Crowd counting presents enormous challenges in the form of large variati...
08/28/2019 ∙ by Vishwanath A. Sindagi, et al. ∙ 15 ∙ share

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Learning to Segment Brain Anatomy from 2D Ultrasound with Less Data

Automatic segmentation of anatomical landmarks from ultrasound (US) play...
12/18/2019 ∙ by Jeya Maria Jose V., et al. ∙ 15 ∙ share

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Automating Artifact Detection in Video Games

In spite of advances in gaming hardware and software, gameplay is often ...
11/30/2020 ∙ by Parmida Davarmanesh, et al. ∙ 15 ∙ 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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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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C2AE: Class Conditioned Auto-Encoder for Open-set Recognition

Models trained for classification often assume that all testing classes ...
04/02/2019 ∙ by Poojan Oza, et al. ∙ 12 ∙ share

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Dependable Neural Networks for Safety Critical Tasks

Neural Networks are being integrated into safety critical systems, e.g.,...
12/20/2019 ∙ by Molly O'Brien, et al. ∙ 12 ∙ share

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Learning Poisson systems and trajectories of autonomous systems via Poisson neural networks

We propose the Poisson neural networks (PNNs) to learn Poisson systems a...
12/05/2020 ∙ by Pengzhan Jin, et al. ∙ 12 ∙ share

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Prior-based Domain Adaptive Object Detection for Adverse Weather Conditions

Adverse weather conditions such as rain and haze corrupt the quality of ...
11/29/2019 ∙ by Vishwanath A. Sindagi, et al. ∙ 11 ∙ 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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Communication-efficient distributed SGD with Sketching

Large-scale distributed training of neural networks is often limited by ...
03/12/2019 ∙ by Nikita Ivkin, et al. ∙ 10 ∙ share

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MVX-Net: Multimodal VoxelNet for 3D Object Detection

Many recent works on 3D object detection have focused on designing neura...
04/02/2019 ∙ by Vishwanath A. Sindagi, 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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A Coupled Manifold Optimization Framework to Jointly Model the Functional Connectomics and Behavioral Data Spaces

The problem of linking functional connectomics to behavior is extremely ...
07/03/2020 ∙ by Niharika Shimona D'Souza, et al. ∙ 10 ∙ share

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Mapping the Timescale Organization of Neural Language Models

In the human brain, sequences of language input are processed within a d...
12/12/2020 ∙ by Hsiang-Yun Sherry Chien, et al. ∙ 10 ∙ share

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An efficient optimization based microstructure reconstruction approach with multiple loss functions

Stochastic microstructure reconstruction involves digital generation of ...
02/04/2021 ∙ by Anindya Bhaduri, et al. ∙ 10 ∙ share

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Spatiotemporal-Aware Augmented Reality: Redefining HCI in Image-Guided Therapy

Suboptimal interaction with patient data and challenges in mastering 3D ...
03/04/2020 ∙ by Javad Fotouhi, et al. ∙ 9 ∙ share

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Understanding Human Hands in Contact at Internet Scale

Hands are the central means by which humans manipulate their world and b...
06/11/2020 ∙ by Dandan Shan, et al. ∙ 9 ∙ share

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Multi-resolution Super Learner for Voxel-wise Classification of Prostate Cancer Using Multi-parametric MRI

While current research has shown the importance of Multi-parametric MRI ...
07/02/2020 ∙ by Jin Jin, et al. ∙ 9 ∙ share

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On a 'Two Truths' Phenomenon in Spectral Graph Clustering

Clustering is concerned with coherently grouping observations without an...
08/23/2018 ∙ by Carey E. Priebe, et al. ∙ 8 ∙ share

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Taking a machine's perspective: Human deciphering of adversarial images

How similar is the human mind to the sophisticated machine-learning syst...
09/11/2018 ∙ by Zhenglong Zhou, et al. ∙ 8 ∙ share

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Multimodal Densenet

Humans make accurate decisions by interpreting complex data from multipl...
11/18/2018 ∙ by Faisal, et al. ∙ 8 ∙ share

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Synthesis of High-Quality Visible Faces from Polarimetric Thermal Faces using Generative Adversarial Networks

The large domain discrepancy between faces captured in polarimetric (or ...
12/12/2018 ∙ by He Zhang, et al. ∙ 8 ∙ share

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Robust Similarity and Distance Learning via Decision Forests

Canonical distances such as Euclidean distance often fail to capture the...
07/27/2020 ∙ by Tyler M. Tomita, et al. ∙ 8 ∙ share

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CoKe: Localized Contrastive Learning for Robust Keypoint Detection

Today's most popular approaches to keypoint detection learn a holistic r...
09/29/2020 ∙ by Yutong Bai, et al. ∙ 8 ∙ share

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The huge Package for High-dimensional Undirected Graph Estimation in R

We describe an R package named huge which provides easy-to-use functions...
06/26/2020 ∙ by Tuo Zhao, et al. ∙ 7 ∙ share

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DeepLSR: Deep learning approach for laser speckle reduction

We present a deep learning approach for laser speckle reduction ('DeepLS...
10/23/2018 ∙ by Taylor L. Bobrow, et al. ∙ 6 ∙ share

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Dual Principal Component Pursuit: Probability Analysis and Efficient Algorithms

Recent methods for learning a linear subspace from data corrupted by out...
12/24/2018 ∙ by Zhihui Zhu, et al. ∙ 6 ∙ share

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Polarimetric Thermal to Visible Face Verification via Attribute Preserved Synthesis

Thermal to visible face verification is a challenging problem due to the...
01/03/2019 ∙ by Xing Di, et al. ∙ 6 ∙ share

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Deep Transfer Learning for Multiple Class Novelty Detection

We propose a transfer learning-based solution for the problem of multipl...
03/06/2019 ∙ by Pramuditha Perera, et al. ∙ 6 ∙ share

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Improving Language Identification for Multilingual Speakers

Spoken language identification (LID) technologies have improved in recen...
01/29/2020 ∙ by Andrew Titus, et al. ∙ 6 ∙ share

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Exploring Partial Intrinsic and Extrinsic Symmetry in 3D Medical Imaging

We present a novel methodology to detect imperfect bilateral symmetry in...
03/04/2020 ∙ by Javad Fotouhi, et al. ∙ 6 ∙ share

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From Perspective X-ray Imaging to Parallax-Robust Orthographic Stitching

Stitching images acquired under perspective projective geometry is a rel...
03/05/2020 ∙ by Javad Fotouhi, et al. ∙ 6 ∙ share

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Learning to Count in the Crowd from Limited Labeled Data

Recent crowd counting approaches have achieved excellent performance. ho...
07/07/2020 ∙ by Vishwanath A. Sindagi, et al. ∙ 6 ∙ share

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MultAV: Multiplicative Adversarial Videos

The majority of adversarial machine learning research focuses on additiv...
09/17/2020 ∙ by Shao-Yuan Lo, et al. ∙ 6 ∙ share

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Augment Yourself: Mixed Reality Self-Augmentation Using Optical See-through Head-mounted Displays and Physical Mirrors

Optical see-though head-mounted displays (OST HMDs) are one of the key t...
07/06/2020 ∙ by Mathias Unberath, et al. ∙ 5 ∙ share

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Confidence-guided Lesion Mask-based Simultaneous Synthesis of Anatomic and Molecular MR Images in Patients with Post-treatment Malignant Gliomas

Data-driven automatic approaches have demonstrated their great potential...
08/06/2020 ∙ by Pengfei Guo, et al. ∙ 5 ∙ share

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DAFE-FD: Density Aware Feature Enrichment for Face Detection

Recent research on face detection, which is focused primarily on improvi...
01/16/2019 ∙ by Vishwanath A. Sindagi, et al. ∙ 4 ∙ share

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