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Apr 14, 2020
Computer Vision

Deformable Siamese Attention Networks for Visual Object Tracking

Siamese-based trackers have achieved excellent performance on visual object tracking. However, the target template is not updated online, and the fea…
Apr 14, 2020
Computer Vision

FineGym: A Hierarchical Video Dataset for Fine-grained Action Under…

On public benchmarks, current action recognition techniques have achieved great success. However, when used in real-world applications, e.g. sport an…
Apr 14, 2020
Computer Vision
Computation and Language
Machine Learning

In this paper, we formulate the visual dialog tasks as a graph structure learning tasks where the edges represent the semantic dependencies among the multimodal embedding nodes learned from the given image, caption and question, and dialog history. …

DialGraph: Sparse Graph Learning Networks for Visual Dialog

Visual dialog is a task of answering a sequence of questions grounded in an image utilizing a dialog history. Previous studies have implicitly explor…
Apr 14, 2020
Image and Video Processing
Computer Vision

End-to-End Variational Networks for Accelerated MRI Reconstruction

The slow acquisition speed of magnetic resonance imaging (MRI) has led to the development of two complementary methods: acquiring multiple views of t…
Apr 14, 2020
Robotics
Artificial Intelligence

Multi-Resolution A*

Heuristic search-based planning techniques are commonly used for motion planning on discretized spaces. The performance of these algorithms is heavil…
Apr 14, 2020
Social and Information Networks
Artificial Intelligence
Computer Vision

Rapid Damage Assessment Using Social Media Images by Combining Human …

Rapid damage assessment is one of the core tasks that response organizations perform at the onset of a disaster to understand the scale of damage to …
Apr 14, 2020
Machine Learning
Neural and Evolutionary Computation

Exploring Cell counting with Neural Arithmetic Logic Units

The big problem for neural network models which are trained to count instances is that whenever test range goes high training range generalization er…
Apr 14, 2020
Image and Video Processing
Computer Vision
Machine Learning

An automatic COVID-19 CT segmentation based on U-Net with attention …

The coronavirus disease (COVID-19) pandemic has led a devastating effect on the global public health. Computed Tomography (CT) is an effective tool i…
Apr 14, 2020
Machine Learning

Co-eye: A Multi-resolution Symbolic Representation to TimeSeries Di…

Time series classification (TSC) is a challenging task that attracted many researchers in the last few years. One main challenge in TSC is the divers…
Apr 14, 2020
Machine Learning
Computation and Language
Cryptography and Security

Weight Poisoning Attacks on Pre-trained Models

Recently, NLP has seen a surge in the usage of large pre-trained models. Users download weights of models pre-trained on large datasets, then fine-tu…
Apr 14, 2020
Computer Vision

A Transfer Learning approach to Heatmap Regression for Action Unit …

Action Units (AUs) are geometrically-based atomic facial muscle movements known to produce appearance changes at specific facial locations. Motivated…
Apr 14, 2020
Information Retrieval
Machine Learning

A Text-based Deep Reinforcement Learning Framework for Interactive …

Due to its nature of learning from dynamic interactions and planning for long-run performance, reinforcement learning (RL) recently has received much…
Apr 14, 2020
Computer Vision

An Attention-Based System for Damage Assessment Using Satellite Image…

When disaster strikes, accurate situational information and a fast, effective response are critical to save lives. Widely available, high resolution …
Apr 14, 2020
Computer Vision

Distilling Localization for Self-Supervised Representation Learning

For high-level visual recognition, self-supervised learning defines and makes use of proxy tasks such as colorization and visual tracking to learn a …
Apr 14, 2020
Applications
Machine Learning

Occupant Plugload Management for Demand Response in Commercial Buil…

Commercial buildings account for ~36% of US electricity consumption, of which nearly two-thirds is met by fossil fuels [1]. Reducing this impact on t…
Apr 14, 2020
Statistics Theory
Social and Information Networks
Methodology
Machine Learning

Edgeworth expansions for network moments

Network method of moments arXiv:1202.5101 is an important tool for nonparametric network inferences. However, there has been little investigation on …
Apr 13, 2020
Computation and Language
Machine Learning

Pretrained Transformers Improve Out-of-Distribution Robustness

Although pretrained Transformers such as BERT achieve high accuracy on in-distribution examples, do they generalize to new distributions? We systemat…
Apr 13, 2020
Machine Learning
Algebraic Topology

Topology of deep neural networks

We study how the topology of a data set $M = M_a \cup M_b \subseteq \mathbb{R}^d$, representing two classes $a$ and $b$ in a binary classification pr…
Apr 13, 2020
Machine Learning
Artificial Intelligence
Robotics

Thinking While Moving: Deep Reinforcement Learning with Concurrent …

We study reinforcement learning in settings where sampling an action from the policy must be done concurrently with the time evolution of the control…
Apr 13, 2020
Networking and Internet Architecture
Machine Learning

Multi-stage Jamming Attacks Detection using Deep Learning Combined wi…

In 5G networks, the Cloud Radio Access Network (C-RAN) is considered a promising future architecture in terms of minimizing energy consumption and al…
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