
Hyperbolic Image Embeddings
Computer vision tasks such as image classification, image retrieval and ...
read it

Perceptuallybased singleimage depth superresolution
RGBD images, combining highresolution color and lowerresolution depth ...
read it

Instance Segmentation of Biological Images Using Harmonic Embeddings
We present a new instance segmentation approach tailored to biological i...
read it

Stochastic gradient algorithms from ODE splitting perspective
We present a different view on stochastic optimization, which goes back ...
read it

Tensor Completion via Gaussian Process Based Initialization
In this paper, we consider the tensor completion problem representing th...
read it

Realworld attack on MTCNN face detection system
Recent studies proved that deep learning approaches achieve remarkable r...
read it

Deep Neural Networks Predicting Oil Movement in a Development Unit
We present a novel technique for assessing the dynamics of multiphase fl...
read it

Interpolated Adjoint Method for Neural ODEs
In this paper, we propose a method, which allows us to alleviate or comp...
read it

Adversarial point set registration
We present a novel approach to point set registration which is based on ...
read it

LatentSpace Laplacian Pyramids for Adversarial Representation Learning with 3D Point Clouds
Constructing highquality generative models for 3D shapes is a fundament...
read it

NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results
This paper reviews the first NTIRE challenge on quality enhancement of c...
read it

Generalized Tensor Models for Recurrent Neural Networks
Recurrent Neural Networks (RNNs) are very successful at solving challeng...
read it

Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems
Automatic segmentation methods based on deep learning have recently demo...
read it

Stable Lowrank Tensor Decomposition for Compression of Convolutional Neural Network
Most state of the art deep neural networks are overparameterized and exh...
read it

Tumor Delineation For Brain Radiosurgery by a ConvNet and NonUniform Patch Generation
Deep learning methods are actively used for brain lesion segmentation. O...
read it

Tensorized Transformer for Dynamical Systems Modeling
The identification of nonlinear dynamics from observations is essential ...
read it

Image Manipulation with Perceptual Discriminators
Systems that perform image manipulation using deep convolutional network...
read it

Universality Theorems for Generative Models
Despite the fact that generative models are extremely successful in prac...
read it

Keypoints Localization for Joint Vertebra Detection and Fracture Severity Quantification
Vertebral body compression fractures are reliable early signs of osteopo...
read it

Incorporating TaskSpecific Structural Knowledge into CNNs for Brain Midline Shift Detection
Midline shift (MLS) is a wellestablished factor used for outcome predic...
read it

Rapid seismic domain transfer: Seismic velocity inversion and modeling using deep generative neural networks
Traditional physicsbased approaches to infer subsurface properties suc...
read it

Procedural Synthesis of Remote Sensing Images for Robust Change Detection with Neural Networks
Datadriven methods such as convolutional neural networks (CNNs) are kno...
read it

Empirical study of extreme overfitting points of neural networks
In this paper we propose a method of obtaining points of extreme overfit...
read it

Bayesian aggregation improves traditional single image crop classification approaches
Machine learning (ML) methods and neural networks (NN) are widely implem...
read it

Towards Understanding Normalization in Neural ODEs
Normalization is an important and vastly investigated technique in deep ...
read it

Monocular 3D Object Detection via Geometric Reasoning on Keypoints
Monocular 3D object detection is wellknown to be a challenging vision t...
read it

Boundary Loss for Remote Sensing Imagery Semantic Segmentation
In response to the growing importance of geospatial data, its analysis i...
read it

Stereo relative pose from line and point feature triplets
Stereo relative pose problem lies at the core of stereo visual odometry ...
read it

Deep Image Prior
Deep convolutional networks have become a popular tool for image generat...
read it

Universal Denoising Networks : A Novel CNNbased Network Architecture for Image Denoising
We design a novel network architecture for learning discriminative image...
read it

LongTerm Sequential Prediction Using Expert Advice
For the prediction with expert advice setting, we consider methods to co...
read it

Quantified advantage of discontinuous weight selection in approximations with deep neural networks
We consider approximations of 1D Lipschitz functions by deep ReLU networ...
read it

Art of singular vectors and universal adversarial perturbations
Vulnerability of Deep Neural Networks (DNNs) to adversarial attacks has ...
read it

Simultaneous Matrix Diagonalization for Structural Brain Networks Classification
This paper considers the problem of brain disease classification based o...
read it

Error bounds for approximations with deep ReLU networks
We study expressive power of shallow and deep neural networks with piece...
read it

Forecasting of commercial sales with large scale Gaussian Processes
This paper argues that there has not been enough discussion in the field...
read it

Large Scale Variable Fidelity Surrogate Modeling
Engineers widely use Gaussian process regression framework to construct ...
read it

Inductive Conformal Martingales for ChangePoint Detection
We consider the problem of quickest changepoint detection in data strea...
read it

Conformal kNN Anomaly Detector for Univariate Data Streams
Anomalies in timeseries data give essential and often actionable inform...
read it

Representation Learning and Pairwise Ranking for Implicit Feedback in Recommendation Systems
In this paper, we propose a novel ranking framework for collaborative fi...
read it

NonLocal Color Image Denoising with Convolutional Neural Networks
We propose a novel deep network architecture for grayscale and color ima...
read it

It Takes (Only) Two: Adversarial GeneratorEncoder Networks
We present a new autoencodertype architecture that is trainable in an u...
read it

Machine Learning in Appearancebased Robot Selflocalization
An appearancebased robot selflocalization problem is considered in the...
read it

Efficient Rectangular MaximalVolume Algorithm for Rating Elicitation in Collaborative Filtering
Cold start problem in Collaborative Filtering can be solved by asking ne...
read it

Escape from Cells: Deep KdNetworks for the Recognition of 3D Point Cloud Models
We present a new deep learning architecture (called Kdnetwork) that is ...
read it

Minimax Error of Interpolation and Optimal Design of Experiments for Variable Fidelity Data
Engineering problems often involve data sources of variable fidelity wit...
read it

Steganographic Generative Adversarial Networks
Steganography is collection of methods to hide secret information ("payl...
read it

Conformalized density and distancebased anomaly detection in timeseries data
Anomalies (unusual patterns) in timeseries data give essential, and oft...
read it

Fifty Shades of Ratings: How to Benefit from a Negative Feedback in TopN Recommendations Tasks
Conventional collaborative filtering techniques treat a topn recommenda...
read it

Residual and Plain Convolutional Neural Networks for 3D Brain MRI Classification
In the recent years there have been a number of studies that applied dee...
read it
Skoltech
http://www.skoltech.ru/en The Skolkovo Institute of Science and Technology (Skoltech) is a private graduate research university in Skolkovo, Russia, a suburb of Moscow. Established in October 2011 in collaboration with MIT, Skoltech educates global lea...