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C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation
3D convolution neural networks (CNN) have been proved very successful in...
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A general approach to progressive intelligence
In biological learning, data is used to improve performance on the task ...
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The Chi-Square Test of Distance Correlation
Distance correlation has gained much recent attention in the statistics ...
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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...
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Deep Sparse Representation-based Classification
We present a transductive deep learning-based formulation for the sparse...
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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 ...
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Pyramid Convolutional RNN for MRI Reconstruction
Fast and accurate MRI image reconstruction from undersampled data is cri...
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Learning from Synthetic Animals
Despite great success in human parsing, progress for parsing other defor...
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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...
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Incremental Learning for Metric-Based Meta-Learners
Majority of the modern meta-learning methods for few-shot classification...
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AtomNAS: Fine-Grained End-to-End Neural Architecture Search
Designing of search space is a critical problem for neural architecture ...
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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...
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Learning to Segment Brain Anatomy from 2D Ultrasound with Less Data
Automatic segmentation of anatomical landmarks from ultrasound (US) play...
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Automating Artifact Detection in Video Games
In spite of advances in gaming hardware and software, gameplay is often ...
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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...
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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 ...
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CLEVR-Ref+: Diagnosing Visual Reasoning with Referring Expressions
Referring object detection and referring image segmentation are importan...
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C2AE: Class Conditioned Auto-Encoder for Open-set Recognition
Models trained for classification often assume that all testing classes ...
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Dependable Neural Networks for Safety Critical Tasks
Neural Networks are being integrated into safety critical systems, e.g.,...
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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...
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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 ...
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Rethinking Monocular Depth Estimation with Adversarial Training
Monocular depth estimation is an extensively studied computer vision pro...
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Communication-efficient distributed SGD with Sketching
Large-scale distributed training of neural networks is often limited by ...
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MVX-Net: Multimodal VoxelNet for 3D Object Detection
Many recent works on 3D object detection have focused on designing neura...
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Structured Prediction using cGANs with Fusion Discriminator
We propose the fusion discriminator, a single unified framework for inco...
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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 ...
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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...
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An efficient optimization based microstructure reconstruction approach with multiple loss functions
Stochastic microstructure reconstruction involves digital generation of ...
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Spatiotemporal-Aware Augmented Reality: Redefining HCI in Image-Guided Therapy
Suboptimal interaction with patient data and challenges in mastering 3D ...
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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...
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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 ...
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On a 'Two Truths' Phenomenon in Spectral Graph Clustering
Clustering is concerned with coherently grouping observations without an...
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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...
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Multimodal Densenet
Humans make accurate decisions by interpreting complex data from multipl...
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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 ...
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Robust Similarity and Distance Learning via Decision Forests
Canonical distances such as Euclidean distance often fail to capture the...
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CoKe: Localized Contrastive Learning for Robust Keypoint Detection
Today's most popular approaches to keypoint detection learn a holistic r...
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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...
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DeepLSR: Deep learning approach for laser speckle reduction
We present a deep learning approach for laser speckle reduction ('DeepLS...
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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...
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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...
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Deep Transfer Learning for Multiple Class Novelty Detection
We propose a transfer learning-based solution for the problem of multipl...
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Improving Language Identification for Multilingual Speakers
Spoken language identification (LID) technologies have improved in recen...
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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...
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From Perspective X-ray Imaging to Parallax-Robust Orthographic Stitching
Stitching images acquired under perspective projective geometry is a rel...
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Learning to Count in the Crowd from Limited Labeled Data
Recent crowd counting approaches have achieved excellent performance. ho...
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MultAV: Multiplicative Adversarial Videos
The majority of adversarial machine learning research focuses on additiv...
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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...
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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...
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DAFE-FD: Density Aware Feature Enrichment for Face Detection
Recent research on face detection, which is focused primarily on improvi...
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