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Sep 17, 2019
Computer Vision

An Internal Learning Approach to Video Inpainting

We propose a novel video inpainting algorithm that simultaneously hallucinates missing appearance and motion (optical flow) information, building upo…
Sep 17, 2019
Machine Learning
Artificial Intelligence
Computation and Language
Computer Vision
Software Engineering

Ludwig: a type-based declarative deep learning toolbox

In this work we present Ludwig, a flexible, extensible and easy to use toolbox which allows users to train deep learning models and use them for obta…
Sep 17, 2019
By ddanish
Computation and Language

Learning to Deceive with Attention-Based Explanations

Attention mechanisms are ubiquitous components in neural architectures applied in natural language processing. In addition to yielding gains in predi…
Sep 17, 2019
Computer Vision

AdaptIS: Adaptive Instance Selection Network

We present Adaptive Instance Selection network architecture for class-agnostic instance segmentation. Given an input image and a point $(x, y)$, it g…
Sep 17, 2019
By hansen
Computer Vision

Learning Deformable Point Set Registration with Regularized Dynamic …

Deformable registration continues to be one of the key challenges in medical image analysis. While iconic registration methods have started to benefi…
Sep 17, 2019
Computer Vision

Learn to Segment Organs with a Few Bounding Boxes

Semantic segmentation is an import task in the medical field to identify the exact extent and orientation of significant structures like organs and p…
Sep 17, 2019
By wliu
Computer Vision
Machine Learning
Multimedia

Chinese Street View Text: Large-scale Chinese Text Reading with Par…

Most existing text reading benchmarks make it difficult to evaluate the performance of more advanced deep learning models in large vocabularies due t…
Sep 17, 2019
Computation and Language
Machine Learning

Span-based Joint Entity and Relation Extraction with Transformer Pr…

We introduce SpERT, an attention model for span-based joint entity and relation extraction. Our approach employs the pre-trained Transformer network …
Sep 17, 2019
By name
Computer Vision
Machine Learning
Multimedia

ICDAR 2019 Competition on Large-scale Street View Text with Partial …

Robust text reading from street view images provides valuable information for various applications. Performance improvement of existing methods in su…
Sep 17, 2019
Computation and Language
Artificial Intelligence

Course Concept Expansion in MOOCs with External Knowledge and Inter…

As Massive Open Online Courses (MOOCs) become increasingly popular, it is promising to automatically provide extracurricular knowledge for MOOC users…
Sep 17, 2019
Machine Learning

A Review of Tracking, Prediction and Decision Making Methods for Au…

This literature review focuses on three important aspects of an autonomous car system: tracking (assessing the identity of the actors such as cars, p…
Sep 17, 2019
Information Retrieval
Machine Learning

Variational Bayesian Context-aware Representation for Grocery Recom…

Grocery recommendation is an important recommendation use-case, which aims to predict which items a user might choose to buy in the future, based on …
Sep 17, 2019
Machine Learning
Artificial Intelligence

Efficient Transfer Bayesian Optimization with Auxiliary Information

We propose an efficient transfer Bayesian optimization method, which finds the maximum of an expensive-to-evaluate black-box function by using data o…
Sep 17, 2019
Computer Vision
Multimedia

Cycle-consistent Conditional Adversarial Transfer Networks

Domain adaptation investigates the problem of cross-domain knowledge transfer where the labeled source domain and unlabeled target domain have distin…
Sep 17, 2019
Image and Video Processing
Computer Vision

Multi-FAN: Multi-Spectral Mosaic Super-Resolution Via Multi-Scale F…

This paper introduces a novel method to super-resolve multi-spectral images captured by modern real-time single-shot mosaic image sensors, also known…
Sep 17, 2019
Computer Vision

STELA: A Real-Time Scene Text Detector with Learned Anchor

To achieve high coverage of target boxes, a normal strategy of conventional one-stage anchor-based detectors is to utilize multiple priors at each sp…
Sep 17, 2019
Computer Vision
Robotics

A*3D Dataset: Towards Autonomous Driving in Challenging Environments

With the increasing global popularity of self-driving cars, there is an immediate need for challenging real-world datasets for benchmarking and train…
Sep 17, 2019
By atrupe
Computational Physics
Machine Learning
Atmospheric and Oceanic Physics
Fluid Dynamics

Towards Unsupervised Segmentation of Extreme Weather Events

Extreme weather is one of the main mechanisms through which climate change will directly impact human society. Coping with such change as a global co…
Sep 17, 2019
By rhm6501
Machine Learning
Artificial Intelligence
Computer Vision
Neural and Evolutionary Computation

They Might NOT Be Giants: Crafting Black-Box Adversarial Examples wit…

Machine learning models have been found to be susceptible to adversarial examples that are often indistinguishable from the original inputs. These ad…
Sep 17, 2019
Image and Video Processing
Computer Vision

Efficient 3D Fully Convolutional Networks for Pulmonary Lobe Segmen…

The human lung is a complex respiratory organ, consisting of five distinct anatomic compartments called lobes. Accurate and automatic segmentation of…
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