Johns Hopkins University

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

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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Counterfactual Interventions Reveal the Causal Effect of Relative Clause Representations on Agreement Prediction

When language models process syntactically complex sentences, do they us...
05/14/2021 ∙ by Shauli Ravfogel, et al. ∙ 24 ∙ 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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Gender and Racial Fairness in Depression Research using Social Media

Multiple studies have demonstrated that behavior on internet-based socia...
03/18/2021 ∙ by Carlos Aguirre, et al. ∙ 8 ∙ share

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Fast Hierarchical Games for Image Explanations

As modern complex neural networks keep breaking records and solving hard...
04/13/2021 ∙ by Jacopo Teneggi, et al. ∙ 8 ∙ 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. ∙ 7 ∙ 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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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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