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Dec 09, 2019
Machine Learning

A time resolved clustering method revealing longterm structures and …

The last decades have not only been characterized by an explosive growth of data, but also an increasing appreciation of data as a valuable resource.…
Dec 09, 2019
Computer Vision

Side-Aware Boundary Localization for More Precise Object Detection

Current object detection frameworks mainly rely on bounding box regression to localize objects. Despite the remarkable progress in recent years, the …
Dec 09, 2019
Applied Physics
Machine Learning

Automated Classification of Helium Ingress in Irradiated X-750

Imaging nanoscale features using transmission electron microscopy is key to predicting and assessing the mechanical behavior of structural materials …
Dec 09, 2019
Computer Vision

Self-supervised Object Motion and Depth Estimation from Video

We present a self-supervised learning framework to estimate the individual object motion and monocular depth from video. We model the object motion a…
Dec 09, 2019
Machine Learning
Trading and Market Microstructure

Adversarial recovery of agent rewards from latent spaces of the limit…

Inverse reinforcement learning has proved its ability to explain state-action trajectories of expert agents by recovering their underlying reward fun…
Dec 09, 2019
Robotics
Human-Computer Interaction

An Interactive Indoor Drone Assistant

With the rapid advance of sophisticated control algorithms, the capabilities of drones to stabilise, fly and manoeuvre autonomously have dramatically…
Dec 09, 2019
Computational Physics
Materials Science
Soft Condensed Matter
Machine Learning

JAX, M.D.: End-to-End Differentiable, Hardware Accelerated, Molecular…

A large fraction of computational science involves simulating the dynamics of particles that interact via pairwise or many-body interactions. These s…
Dec 09, 2019
Image and Video Processing
Computer Vision

DCIL: Deep Contextual Internal Learning for Image Restoration and Ima…

Recently, there is a vast interest in developing methods which are independent of the training samples such as deep image prior, zero-shot learning, …
Dec 09, 2019
Machine Learning

Location Trace Privacy Under Conditional Priors

Providing meaningful privacy to users of location based services is particularly challenging when multiple locations are revealed in a short period o…
Dec 09, 2019
Artificial Intelligence
Machine Learning

Unsupervised Curricula for Visual Meta-Reinforcement Learning

In principle, meta-reinforcement learning algorithms leverage experience across many tasks to learn fast reinforcement learning (RL) strategies that …
Dec 09, 2019
Machine Learning
Computer Vision

cGANs with Multi-Hinge Loss

We propose a new algorithm to incorporate class conditional information into the discriminator of GANs via a multi-class generalization of the common…
Dec 09, 2019
Machine Learning
Artificial Intelligence

Learning Latent State Spaces for Planning through Reward Prediction

Model-based reinforcement learning methods typically learn models for high-dimensional state spaces by aiming to reconstruct and predict the original…
Dec 09, 2019
Computer Vision
Graphics
Machine Learning

Learning a Neural 3D Texture Space from 2D Exemplars

We propose a generative model of 2D and 3D natural textures with diversity, visual fidelity and at high computational efficiency. This is enabled by …
Dec 09, 2019
Machine Learning
Numerical Analysis

Butterfly-Net2: Simplified Butterfly-Net and Fourier Transform Init…

Structured CNN designed using the prior information of problems potentially improves efficiency over conventional CNNs in various tasks in solving PD…
Dec 09, 2019
Machine Learning

A Weak Supervision Approach to Detecting Visual Anomalies for Automat…

We present a deep learning system for testing graphics units by detecting novel visual corruptions in videos. Unlike previous work in which manual ta…
Dec 09, 2019
Image and Video Processing
Computer Vision

Estimation of Muscle Fascicle Orientation in Ultrasonic Images

We compare four different algorithms for automatically estimating the muscle fascicle angle from ultrasonic images: the vesselness filter, the Radon …
Dec 09, 2019
Machine Learning

Recurrent Point Processes for Dynamic Review Models

Recent progress in recommender system research has shown the importance of including temporal representations to improve interpretability and perform…
Dec 09, 2019
Robotics

Reinforcement Learning based Visual Navigation with Information-The…

We present a target-driven navigation approach for improving the cross-target and cross-scene generalization for visual navigation. Our approach inco…
Dec 09, 2019
Computer Vision

DeepFuse: An IMU-Aware Network for Real-Time 3D Human Pose Estimation…

In this paper, we propose a two-stage fully 3D network, namely \textbf{DeepFuse}, to estimate human pose in 3D space by fusing body-worn Inertial Mea…
Dec 09, 2019
Image and Video Processing
Computer Vision
Machine Learning
Signal Processing

Naive Gabor Networks

In this paper, we introduce naive Gabor Networks or Gabor-Nets which, for the first time in the literature, design and learn convolutional kernels st…
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