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Nov 30, 2020
Computer Vision
Graphics

Animating Pictures with Eulerian Motion Fields

In this paper, we demonstrate a fully automatic method for converting a still image into a realistic animated looping video. We target scenes with co…
Nov 30, 2020
Computer Vision

One-Shot Free-View Neural Talking-Head Synthesis for Video Conferenci…

We propose a neural talking-head video synthesis model and demonstrate its application to video conferencing. Our model learns to synthesize a talkin…
Nov 30, 2020
Computation and Language
Computer Vision

Multimodal Pretraining Unmasked: Unifying the Vision and Language BER…

Large-scale pretraining and task-specific fine-tuning is now the standard methodology for many tasks in computer vision and natural language processi…
Nov 30, 2020
Robotics

Vulcan Centaur: towards end-to-end real-time perception in lunar rove…

We introduce a new real-time pipeline for Simultaneous Localization and Mapping (SLAM) and Visual Inertial Odometry (VIO) in the context of planetary…
Nov 30, 2020
Computer Vision

Automating Artifact Detection in Video Games

In spite of advances in gaming hardware and software, gameplay is often tainted with graphics errors, glitches, and screen artifacts. This proof of c…
Nov 30, 2020
Machine Learning
Artificial Intelligence
Computer Vision

Learning by Passing Tests, with Application to Neural Architecture …

Learning through tests is a broadly used methodology in human learning and shows great effectiveness in improving learning outcome: a sequence of tes…
Nov 30, 2020
Human-Computer Interaction
Sound
Audio and Speech Processing

A proposal and evaluation of new timbre visualisation methods for aud…

Searching through vast libraries of sound samples can be a daunting and time-consuming task. Modern audio sample browsers use mappings between acoust…
Nov 30, 2020
Machine Learning

AGNet: Weighing Black Holes with Machine Learning

Supermassive black holes (SMBHs) are ubiquitously found at the centers of most galaxies. Measuring SMBH mass is important for understanding the origi…
Nov 30, 2020
Computer Vision
Machine Learning

Diverse Sampling for Normalizing Flow Based Trajectory Forecasting

For autonomous cars to drive safely and effectively, they must anticipate the stochastic future trajectories of other agents in the scene, such as pe…
Nov 30, 2020
Human-Computer Interaction
Machine Learning
Applications

A Large Scale Randomized Controlled Trial on Herding in Peer-Review …

Peer review is the backbone of academia and humans constitute a cornerstone of this process, being responsible for reviewing papers and making the fi…
Nov 30, 2020
Computer Vision
Machine Learning

Forecasting Characteristic 3D Poses of Human Actions

We propose the task of forecasting characteristic 3D poses: from a single pose observation of a person, to predict a future 3D pose of that person in…
Nov 30, 2020
Artificial Intelligence

Learning a metacognition for object perception

Beyond representing the external world, humans also represent their own cognitive processes. In the context of perception, this metacognition helps u…
Nov 30, 2020
Machine Learning

General Invertible Transformations for Flow-based Generative Modeling

In this paper, we present a new class of invertible transformations. We indicate that many well-known invertible tranformations in reversible logic a…
Nov 30, 2020
Human-Computer Interaction
Machine Learning

A Novice-Reviewer Experiment to Address Scarcity of Qualified Reviewe…

Conference peer review constitutes a human-computation process whose importance cannot be overstated: not only it identifies the best submissions for…
Nov 30, 2020
Image and Video Processing
Computer Vision
Information Theory

Long-range medical image registration through generalized mutual in…

Image registration is a key operation in medical image processing, allowing a plethora of applications. Mutual information (MI) is consolidated as a …
Nov 30, 2020
Computer Vision

Rethinking and Designing a High-performing Automatic License Plate …

In this paper, we propose a real-time and accurate automatic license plate recognition (ALPR) approach. Our study illustrates the outstanding design …
Nov 30, 2020
Machine Learning

This work was carried out on the Dutch national e-infrastructure with the support of SURF Cooperative, and the author is deeply indebted to the Cartesius helpdesk team for their invaluable support in resolving various technical difficulties. The aut…

Model-based controlled learning of MDP policies with an application t…

Recent literature established that neural networks can represent good MDP policies across a range of stochastic dynamic models in supply chain and lo…
Nov 30, 2020
Graphics
Computer Vision
Machine Learning
Robotics

In this paper, we proposed a universal neural controller for a variety of real-time interactive control applications. We closely study physics-based motion control on a large-scale dataset where novel techniques including constrained multi-objective…

UniCon: Universal Neural Controller For Physics-based Character Motion

The field of physics-based animation is gaining importance due to the increasing demand for realism in video games and films, and has recently seen w…
Nov 30, 2020
Computer Vision

NeuralFusion: Online Depth Fusion in Latent Space

We present a novel online depth map fusion approach that learns depth map aggregation in a latent feature space. While previous fusion methods use an…
Nov 30, 2020
Numerical Analysis
Computational Engineering
Finance
and Science i
Machine Learning

In this work we have presented a framework for the dimension-scalable construction of derivative-informed projected neural network surrogates for parametric maps governed by partial differential equations. The need for these surrogates arises in man…

Derivative-Informed Projected Neural Networks for High-Dimensional …

Many-query problems, arising from uncertainty quantification, Bayesian inversion, Bayesian optimal experimental design, and optimization under uncert…
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