
Shearlets as Feature Extractor for Semantic Edge Detection: The ModelBased and DataDriven Realm
Semantic edge detection has recently gained a lot of attention as an ima...
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Kernel of CycleGAN as a Principle homogeneous space
Unpaired imagetoimage translation has attracted significant interest d...
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Deep Bayesian Inversion
Characterizing statistical properties of solutions of inverse problems i...
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Which way? DirectionAware Attributed Graph Embedding
Graph embedding algorithms are used to efficiently represent (encode) a ...
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Imitating by generating: deep generative models for imitation of interactive tasks
To coordinate actions with an interaction partner requires a constant ex...
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Neural Outlier Rejection for SelfSupervised Keypoint Learning
Identifying salient points in images is a crucial component for visual o...
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Finitetime Identification of Stable Linear Systems: Optimality of the LeastSquares Estimator
We provide a new finitetime analysis of the estimation error of stable ...
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GCNv2: Efficient Correspondence Prediction for RealTime SLAM
In this paper, we present a deep learningbased network, GCNv2, for gene...
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Machine Learning assisted Handover and Resource Management for Cellular Connected Drones
Enabling cellular connectivity for drones introduces a wide set of chall...
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Hyperplane Arrangements of Trained ConvNets Are Biased
We investigate the geometric properties of the functions learned by trai...
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Beyond the Self: Using Grounded Affordances to Interpret and Describe Others' Actions
We propose a developmental approach that allows a robot to interpret and...
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Sparse2Dense: From direct sparse odometry to dense 3D reconstruction
In this paper, we proposed a new deep learning based dense monocular SLA...
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A Framework for Depth Estimation and Relative Localization of Ground Robots using Computer Vision
The 3D depth estimation and relative pose estimation problem within a de...
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Neural Network based Explicit Mixture Models and Expectationmaximization based Learning
We propose two neural network based mixture models in this article. The ...
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Entropyregularized Optimal Transport Generative Models
We investigate the use of entropyregularized optimal transport (EOT) co...
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A Hierarchical Grocery Store Image Dataset with Visual and Semantic Labels
Image classification models built into visual support systems and other ...
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α Belief Propagation as Fully Factorized Approximation
Belief propagation (BP) can do exact inference in loopfree graphs, but ...
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Bayesian nonparametric shared multisequence time series segmentation
In this paper, we introduce a method for segmenting time series data usi...
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Banach Wasserstein GAN
Wasserstein Generative Adversarial Networks (WGANs) can be used to gener...
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Optimal Attacks on Reinforcement Learning Policies
Control policies, trained using the Deep Reinforcement Learning, have be...
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Distributed sampleddata control of nonholonomic multirobot systems with proximity networks
This paper considers the distributed sampleddata control problem of a g...
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Interactive Robot Learning of Gestures, Language and Affordances
A growing field in robotics and Artificial Intelligence (AI) research is...
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SelfSupervised VisionBased Detection of the Active Speaker as a Prerequisite for SociallyAware Language Acquisition
This paper presents a selfsupervised method for detecting the active sp...
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Minimal Exploration in Structured Stochastic Bandits
This paper introduces and addresses a wide class of stochastic bandit pr...
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Advances in Variational Inference
Many modern unsupervised or semisupervised machine learning algorithms ...
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Learned Primaldual Reconstruction
We propose the Learned PrimalDual algorithm for tomographic reconstruct...
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Machine Learning and Social Robotics for Detecting Early Signs of Dementia
This paper presents the EACare project, an ambitious multidisciplinary ...
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On the Performance of Network Parallel Training in Artificial Neural Networks
Artificial Neural Networks (ANNs) have received increasing attention in ...
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Learning to solve inverse problems using Wasserstein loss
We propose using the Wasserstein loss for training in inverse problems. ...
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Unsupervised Object Discovery and Segmentation of RGBDimages
In this paper we introduce a system for unsupervised object discovery an...
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Dynamic texture recognition using timecausal and timerecursive spatiotemporal receptive fields
This work presents a first evaluation of using spatiotemporal receptive...
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Optimising The Input Window Alignment in CDDNN Based Phoneme Recognition for Low Latency Processing
We present a systematic analysis on the performance of a phonetic recogn...
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Dense scale selection over space, time and spacetime
Scale selection methods based on local extrema over scale of scalenorma...
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Fitting Generalized Essential Matrices from Generic 6x6 Matrices and its Applications
This paper addresses the problem of finding the closest generalized esse...
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A Connectedness Constraint for Learning Sparse Graphs
Graphs are naturally sparse objects that are used to study many problems...
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Solving illposed inverse problems using iterative deep neural networks
We propose a partially learned approach for the solution of ill posed in...
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Determinantal Point Processes for MiniBatch Diversification
We study a minibatch diversification scheme for stochastic gradient des...
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cGANbased Manga Colorization Using a Single Training Image
The Japanese comic format known as Manga is popular all over the world. ...
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Indirect Image Registration with Large Diffeomorphic Deformations
The paper adapts the large deformation diffeomorphic metric mapping fram...
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OkutamaAction: An Aerial View Video Dataset for Concurrent Human Action Detection
Despite significant progress in the development of human action detectio...
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Distributed Algorithms for Feature Extraction Offloading in MultiCamera Visual Sensor Networks
Realtime visual analysis tasks, like tracking and recognition, require ...
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Semisupervised Learning with Sparse Autoencoders in Phone Classification
We propose the application of a semisupervised learning method to impro...
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A new kernelbased approach to system identification with quantized output data
In this paper we introduce a novel method for linear system identificati...
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What is the plausibility of probability?(revised 2003, 2015)
We present and examine a result related to uncertainty reasoning, namely...
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Anticipating many futures: Online human motion prediction and synthesis for humanrobot collaboration
Fluent and safe interactions of humans and robots require both partners ...
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Deep representation learning for human motion prediction and classification
Generative models of 3D human motion are often restricted to a small num...
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Viewpoint and Topic Modeling of Current Events
There are multiple sides to every story, and while statistical topic mod...
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Detection and Tracking of General Movable Objects in Large 3D Maps
This paper studies the problem of detection and tracking of general obje...
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The backtracking survey propagation algorithm for solving random KSAT problems
Discrete combinatorial optimization has a central role in many scientifi...
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Replication and Generalization of PRECISE
This report describes an initial replication study of the PRECISE system...
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KTH Royal Institute of Technology
Since its inception in 1827, KTH has developed into one of Europe's leading technical universities and an important arena for knowledge development. As Sweden's largest university for technical research and education, we bring students, researchers and faculty...