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Apr 07, 2020
Computer Vision

Feature Pyramid Grids

Feature pyramid networks have been widely adopted in the object detection literature to improve feature representations for better handling of variat…
Apr 07, 2020
Computer Vision
Human-Computer Interaction

Event Based, Near Eye Gaze Tracking Beyond 10,000Hz

Fast and accurate eye tracking is crucial for many applications. Current camera-based eye tracking systems, however, are fundamentally limited by the…
Apr 07, 2020
Artificial Intelligence
Neural and Evolutionary Computation
Symbolic Computation

Neural Analogical Matching

Analogy is core to human cognition. It allows us to solve problems based on prior experience, it governs the way we conceptualize new information, an…
Apr 07, 2020
Computer Vision
Robotics

Disp R-CNN: Stereo 3D Object Detection via Shape Prior Guided Instanc…

In this paper, we propose a novel system named Disp R-CNN for 3D object detection from stereo images. Many recent works solve this problem by first r…
Apr 07, 2020
Methodology
Machine Learning

Latent Network Structure Learning from High Dimensional Multivariate …

Learning the latent network structure from large scale multivariate point process data is an important task in a wide range of scientific and busines…
Apr 07, 2020
Computation and Language
Artificial Intelligence
Machine Learning

Transformers to Learn Hierarchical Contexts in Multiparty Dialogue fo…

We introduce a novel approach to transformers that learns hierarchical representations in multiparty dialogue. First, three language modeling tasks a…
Apr 07, 2020
Computation and Language

Entity Linking via Dual and Cross-Attention Encoders

Entity Linking has two main open areas of research: 1) generate candidate entities without using alias tables and 2) generate more contextual represe…
Apr 07, 2020
Computation and Language

Fine-Grained Named Entity Typing over Distantly Supervised Data Based…

Fine-Grained Named Entity Typing (FG-NET) is a key component in Natural Language Processing (NLP). It aims at classifying an entity mention into a wi…
Apr 07, 2020
Machine Learning

Capsule Networks -- A Probabilistic Perspective

'Capsule' models try to explicitly represent the poses of objects, enforcing a linear relationship between an object's pose and that of its constitue…
Apr 07, 2020
Robotics

Self-propulsion on spandex: toward a robotic analog gravity system

Numerous laboratory systems have been proposed as analogs to study phenomena (like black holes, Hawking radiation) associated with Einstein's theory …
Apr 07, 2020
Computer Vision

Temporal Pyramid Network for Action Recognition

Visual tempo characterizes the dynamics and the temporal scale of an action. Modeling such visual tempos of different actions facilitates their recog…
Apr 07, 2020
Computer Vision

Dense Regression Network for Video Grounding

We address the problem of video grounding from natural language queries. The key challenge in this task is that one training video might only contain…
Apr 07, 2020
Human-Computer Interaction
Machine Learning
Software Engineering
Image and Video Processing

BreastScreening: On the Use of Multi-Modality in Medical Imaging Di…

This paper describes the field research, design and comparative deployment of a multimodal medical imaging user interface for breast screening. The m…
Apr 07, 2020
Computer Vision
Machine Learning
Image and Video Processing

Bayesian aggregation improves traditional single image crop classif…

Machine learning (ML) methods and neural networks (NN) are widely implemented for crop types recognition and classification based on satellite images…
Apr 07, 2020
Machine Learning
Computational Finance
Portfolio Management
Trading and Market Microstructure

QuantNet: Transferring Learning Across Systematic Trading Strategies

In this work we introduce QuantNet: an architecture that is capable of transferring knowledge over systematic trading strategies in several financial…
Apr 07, 2020
Neural and Evolutionary Computation

Beer Organoleptic Optimisation: Utilising Swarm Intelligence and Ev…

Customisation in food properties is a challenging task involving optimisation of the production process with the demand to support computational crea…
Apr 07, 2020
Computation and Language

Operationalizing the legal concept of 'Incitement to Hatred' as an NL…

Hate speech detection or offensive language detection are well-established but controversial NLP tasks. There is no denying the temptation to use the…
Apr 07, 2020
Computation and Language
Machine Learning

Emergent Language Generalization and Acquisition Speed are not tied t…

Studies of discrete languages emerging when neural agents communicate to solve a joint task often look for evidence of compositional structure. This …
Apr 07, 2020
Machine Learning

CSMOUTE: Combined Synthetic Oversampling and Undersampling Technique …

In this paper we propose two novel data-level algorithms for handling data imbalance in the classification task: first of all a Synthetic Minority Un…
Apr 07, 2020
Computation and Language
Artificial Intelligence

Efficient Context and Schema Fusion Networks for Multi-Domain Dialogu…

Dialogue state tracking (DST) aims at estimating the current dialogue state given all the preceding conversation. For multi-domain DST, the data spar…
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