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
141 publications
Yi Zhang
90 publications
Alan Yuille
86 publications
Xin Li
85 publications
Yan Zhang
80 publications
Carey E. Priebe
62 publications
Li Chen
58 publications
Shinji Watanabe
54 publications
Vishal M. Patel
51 publications
Lingxi Xie
50 publications
Rene Vidal
48 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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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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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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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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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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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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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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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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Pose Estimation of Periacetabular Osteotomy Fragments with Intraoperative X-Ray Navigation

Objective: State of the art navigation systems for pelvic osteotomies us...
03/22/2019 ∙ by Robert B. Grupp, et al. ∙ 4 ∙ share

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Polarimetric Thermal to Visible Face Verification via Self-Attention Guided Synthesis

Polarimetric thermal to visible face verification entails matching two i...
04/15/2019 ∙ by Xing Di, et al. ∙ 4 ∙ share

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Geodesic Learning via Unsupervised Decision Forests

Geodesic distance is the shortest path between two points in a Riemannia...
07/05/2019 ∙ by Meghana Madhyastha, et al. ∙ 4 ∙ share

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Bandits with Feedback Graphs and Switching Costs

We study the adversarial multi-armed bandit problem where partial observ...
07/29/2019 ∙ by Raman Arora, et al. ∙ 4 ∙ share

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Leveraging Vision and Kinematics Data to Improve Realism of Biomechanic Soft-tissue Simulation for Robotic Surgery

Purpose Surgical simulations play an increasingly important role in surg...
03/14/2020 ∙ by Jie Ying Wu, et al. ∙ 4 ∙ share

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HA-CCN: Hierarchical Attention-based Crowd Counting Network

Single image-based crowd counting has recently witnessed increased focus...
07/24/2019 ∙ by Vishwanath A. Sindagi, et al. ∙ 3 ∙ share

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Cognitive swarming in complex environments with attractor dynamics and oscillatory computing

Neurobiological theories of spatial cognition developed with respect to ...
09/15/2019 ∙ by Joseph D. Monaco, et al. ∙ 3 ∙ share

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Evaluating the Impact of Intensity Normalization on MR Image Synthesis

Image synthesis learns a transformation from the intensity features of a...
12/11/2018 ∙ by Jacob C. Reinhold, 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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Inverse Attention Guided Deep Crowd Counting Network

In this paper, we address the challenging problem of crowd counting in c...
07/02/2019 ∙ by Vishwanath A. Sindagi, et al. ∙ 2 ∙ share

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Can You Trust This Prediction? Auditing Pointwise Reliability After Learning

To use machine learning in high stakes applications (e.g. medicine), we ...
01/02/2019 ∙ by Peter Schulam, et al. ∙ 1 ∙ share

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SLAM Endoscopy enhanced by adversarial depth prediction

Medical endoscopy remains a challenging application for simultaneous loc...
06/29/2019 ∙ by Richard J. Chen, et al. ∙ 1 ∙ share

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Mathematics of Deep Learning

Recently there has been a dramatic increase in the performance of recogn...
12/13/2017 ∙ by Rene Vidal, et al. ∙ 0 ∙ share

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Lower bounds over Boolean inputs for deep neural networks with ReLU gates

Motivated by the resurgence of neural networks in being able to solve co...
11/08/2017 ∙ by Anirbit Mukherjee, et al. ∙ 0 ∙ share

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Adversarial Deep Structured Nets for Mass Segmentation from Mammograms

Mass segmentation provides effective morphological features which are im...
10/24/2017 ∙ by Wentao Zhu, et al. ∙ 0 ∙ share

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