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Jan 21, 2021
Computer Vision
Databases
Graphics
Multimedia

Learn to Dance with AIST++: Music Conditioned 3D Dance Generation

In this paper, we present a transformer-based learning framework for 3D dance generation conditioned on music. We carefully design our network archit…
Jan 21, 2021
Image and Video Processing
Computer Vision
Quantitative Methods

In this paper, we presented an expectation-maximization regularized weakly supervised tumor segmentation model based on the deep convolutional neural networks. The proposed method was developed to segment both the core and peritumoral infiltrated tu…

Expectation-Maximization Regularized DeepLearning for Weakly Supervis…

We present an Expectation-Maximization (EM) Regularized Deep Learning (EMReDL) model for the weakly supervised tumor segmentation. The proposed frame…
Jan 21, 2021
Machine Learning

Soft Genetic Programming Binary Classifiers

The study of the classifier's design and it's usage is one of the most important machine learning areas. With the development of automatic machine le…
Jan 21, 2021
Robotics
Machine Learning
Systems and Control

Model-based Policy Search for Partially Measurable Systems

In this paper, we propose a Model-Based Reinforcement Learning (MBRL) algorithm for Partially Measurable Systems (PMS), i.e., systems where the state…
Jan 21, 2021
Distributed
Parallel
and Cluster Computing
Machine Learning

Clairvoyant Prefetching for Distributed Machine Learning I/O

I/O is emerging as a major bottleneck for machine learning training, especially in distributed environments such as clouds and supercomputers. Optima…
Jan 21, 2021
Machine Learning
Computer Vision

Self-Adaptive Training: Bridging the Supervised and Self-Supervised …

We propose self-adaptive training -- a unified training algorithm that dynamically calibrates and enhances training process by model predictions with…
Jan 21, 2021
Networking and Internet Architecture
Artificial Intelligence

Adversarial Machine Learning for Flooding Attacks on 5G Radio Access …

Network slicing manages network resources as virtual resource blocks (RBs) for the 5G Radio Access Network (RAN). Each communication request comes wi…
Jan 21, 2021
Cryptography and Security
Computer Vision
Machine Learning

Copycat CNN: Are Random Non-Labeled Data Enough to Steal Knowledge fr…

Convolutional neural networks have been successful lately enabling companies to develop neural-based products, which demand an expensive process, inv…
Jan 21, 2021
Hardware Architecture
Computer Vision
Distributed
Parallel
and Cluster Computing

Cain: Automatic Code Generation for Simultaneous Convolutional Kernel…

Focal-plane Sensor-processors (FPSPs) are a camera technology that enable low power, high frame rate computation, making them suitable for edge compu…
Jan 21, 2021
Computation and Language

Multi-sense embeddings through a word sense disambiguation process

Natural Language Understanding has seen an increasing number of publications in the last few years, especially after robust word embeddings models be…
Jan 21, 2021
Machine Learning

An empirical evaluation of active inference in multi-armed bandits

A key feature of sequential decision making under uncertainty is a need to balance between exploiting--choosing the best action according to the curr…
Jan 21, 2021
Computation and Language
Artificial Intelligence

Validating Label Consistency in NER Data Annotation

Data annotation plays a crucial role in ensuring your named entity recognition (NER) projects are trained with the right information to learn from. P…
Jan 21, 2021
Robotics
Systems and Control

Multi-robot energy autonomy with wind and constrained resources

One aspect of the ever-growing need for long term autonomy of multi-robot systems, is ensuring energy sufficiency. In particular, in scenarios where …
Jan 21, 2021
Information Theory
Artificial Intelligence
Machine Learning

Rate Region for Indirect Multiterminal Source Coding in Federated L…

One of the main focus in federated learning (FL) is the communication efficiency since a large number of participating edge devices send their update…
Jan 21, 2021
Machine Learning

Overfitting for Fun and Profit: Instance-Adaptive Data Compression

Neural data compression has been shown to outperform classical methods in terms of $RD$ performance, with results still improving rapidly. At a high …
Jan 21, 2021
Machine Learning
Hardware Architecture
Computer Vision

ItNet: iterative neural networks with tiny graphs for accurate and …

Deep neural networks have usually to be compressed and accelerated for their usage in low-power, e.g. mobile, devices. Recently, massively-parallel h…
Jan 21, 2021
Computer Vision
Artificial Intelligence
Robotics

A two-stage data association approach for 3D Multi-object Tracking

Multi-object tracking (MOT) is an integral part of any autonomous driving pipelines because itproduces trajectories which has been taken by other mov…
Jan 21, 2021
Computer Vision

DAF:re: A Challenging, Crowd-Sourced, Large-Scale, Long-Tailed Datase…

In this work we tackle the challenging problem of anime character recognition. Anime, referring to animation produced within Japan and work derived o…
Jan 21, 2021
Computer Vision
Machine Learning
Image and Video Processing

Regularization via deep generative models: an analysis point of view

This paper proposes a new way of regularizing an inverse problem in imaging (e.g., deblurring or inpainting) by means of a deep generative neural net…
Jan 21, 2021
Computational Geometry
Computer Vision

In this paper, we first combine the concept of geometric moment and motion blur degradation model; then we prove that geometric moments of blurred image and original image are linearly related. Depending on this property, we give an approach of anal…

Geometric Moment Invariants to Motion Blur

In this paper, we focus on removing interference of motion blur by the derivation of motion blur invariants.Unlike earlier work, we don't restore any…
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