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10/24/2019
Data hiding in complex-amplitude modulation using a digital micromirror device
A digital micromirror device (DMD) is an amplitude-type spatial light mo...
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10/20/2019
A Truly Exact and Optimal Perfect Absorbing Layer for Time-harmonic Acoustic Wave Scattering Problems
In this paper, we design a truly exact and optimal perfect absorbing lay...
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10/18/2019
Automatic Data Augmentation by Learning the Deterministic Policy
Aiming to produce sufficient and diverse training samples, data augmenta...
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10/17/2019
Scoring-Aggregating-Planning: Learning task-agnostic priors from interactions and sparse rewards for zero-shot generalization
Humans can learn task-agnostic priors from interactive experience and ut...
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09/06/2019
From Few to More: Large-scale Dynamic Multiagent Curriculum Learning
A lot of efforts have been devoted to investigating how agents can learn...
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09/05/2019
MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance
A robust evaluation metric has a profound impact on the development of t...
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09/03/2019
Better Rewards Yield Better Summaries: Learning to Summarise Without References
Reinforcement Learning (RL) based document summarisation systems yield s...
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08/02/2019
Adversarial Camera Alignment Network for Unsupervised Cross-camera Person Re-identification
In person re-identification (Re-ID), supervised methods usually need a l...
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07/30/2019
Reward Learning for Efficient Reinforcement Learning in Extractive Document Summarisation
Document summarisation can be formulated as a sequential decision-making...
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07/26/2019
Action Semantics Network: Considering the Effects of Actions in Multiagent Systems
In multiagent systems (MASs), each agent makes individual decisions but ...
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07/09/2019
Deep Learning for Spacecraft Pose Estimation from Photorealistic Rendering
On-orbit proximity operations in space rendezvous, docking and debris re...
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06/11/2019
NAS-FCOS: Fast Neural Architecture Search for Object Detection
The success of deep neural networks relies on significant architecture e...
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06/07/2019
Preference-based Interactive Multi-Document Summarisation
Interactive NLP is a promising paradigm to close the gap between automat...
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05/31/2019
Known-plaintext attack and ciphertext-only attack for encrypted single-pixel imaging
In many previous works, a single-pixel imaging (SPI) system is construct...
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04/24/2019
Optical machine learning with incoherent light and a single-pixel detector
The concept of optical diffractive neural network (DNN) is proposed rece...
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04/22/2019
GraphNAS: Graph Neural Architecture Search with Reinforcement Learning
Graph Neural Networks (GNNs) have been popularly used for analyzing non-...
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04/11/2019
Crowdsourcing Lightweight Pyramids for Manual Summary Evaluation
Conducting a manual evaluation is considered an essential part of summar...
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04/09/2019
Thinkey: A Scalable Blockchain Architecture
This paper presents Thinkey, an efficient, secure, infinitely scalable a...
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04/06/2019
A Novel Unsupervised Camera-aware Domain Adaptation Framework for Person Re-identification
Unsupervised cross-domain person re-identification (Re-ID) faces two key...
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03/31/2019
Risk Averse Robust Adversarial Reinforcement Learning
Deep reinforcement learning has recently made significant progress in so...
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03/28/2019
Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning
Few-shot learning in image classification aims to learn a classifier to ...
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03/27/2019
Does My Rebuttal Matter? Insights from a Major NLP Conference
Peer review is a core element of the scientific process, particularly in...
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03/18/2019
Hierarchical Routing Mixture of Experts
In regression tasks the distribution of the data is often too complex to...
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02/21/2019
A Parallel Optical Image Security System with Cascaded Phase-only Masks
In many previous works, a cascaded phase-only mask (or phase-only hologr...
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11/01/2018
CariGAN: Caricature Generation through Weakly Paired Adversarial Learning
Caricature generation is an interesting yet challenging task. The primar...
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09/27/2018
Adaptive Image Stream Classification via Convolutional Neural Network with Intrinsic Similarity Metrics
When performing data classification over a stream of continuously occurr...
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08/29/2018
APRIL: Interactively Learning to Summarise by Combining Active Preference Learning and Reinforcement Learning
We propose a method to perform automatic document summarisation without ...
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05/15/2018
Online Deep Metric Learning
Metric learning learns a metric function from training data to calculate...
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04/27/2018
Crossbar-Net: A Novel Convolutional Network for Kidney Tumor Segmentation in CT Images
Due to the irregular motion, similar appearance and diverse shape, accur...
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04/27/2018
Interactive Medical Image Segmentation via Point-Based Interaction and Sequential Patch Learning
Due to low tissue contrast, irregular object appearance, and unpredictab...
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04/17/2018
Cross-Domain Adversarial Auto-Encoder
In this paper, we propose the Cross-Domain Adversarial Auto-Encoder (CDA...
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04/11/2018
MaskReID: A Mask Based Deep Ranking Neural Network for Person Re-identification
In this paper, a novel mask based deep ranking neural network with skipp...
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03/06/2018
Fast Cylinder and Plane Extraction from Depth Cameras for Visual Odometry
This paper presents CAPE, a method to extract planes and cylinder segmen...
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02/20/2018
Scale Optimization for Full-Image-CNN Vehicle Detection
Many state-of-the-art general object detection methods make use of share...
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02/19/2018
Voice Impersonation using Generative Adversarial Networks
Voice impersonation is not the same as voice transformation, although th...
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02/14/2018
Reinforcement Learning from Imperfect Demonstrations
Robust real-world learning should benefit from both demonstrations and i...
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12/01/2017
Speaker identification from the sound of the human breath
This paper examines the speaker identification potential of breath sound...
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08/09/2017
SPLODE: Semi-Probabilistic Point and Line Odometry with Depth Estimation from RGB-D Camera Motion
Active depth cameras suffer from several limitations, which cause incomp...
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08/01/2017
A Labelling Framework for Probabilistic Argumentation
The combination of argumentation and probability paves the way to new ac...
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07/23/2017
Using Argument-based Features to Predict and Analyse Review Helpfulness
We study the helpful product reviews identification problem in this pape...
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06/13/2017
Probabilistic RGB-D Odometry based on Points, Lines and Planes Under Depth Uncertainty
This work proposes a robust visual odometry method for structured enviro...
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05/18/2017
Probabilistic Combination of Noisy Points and Planes for RGB-D Odometry
This work proposes a visual odometry method that combines points and pla...
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05/05/2017
Joint RNN Model for Argument Component Boundary Detection
Argument Component Boundary Detection (ACBD) is an important sub-task in...
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05/05/2017
Crowdsourcing Argumentation Structures in Chinese Hotel Reviews
Argumentation mining aims at automatically extracting the premises-claim...
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03/09/2017
WebCaricature: a benchmark for caricature face recognition
Caricatures are facial drawings by artists with exaggeration on certain ...
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02/21/2017
Reinforcement Learning Based Argument Component Detection
Argument component detection (ACD) is an important sub-task in argumenta...
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12/04/2016
End-to-end Learning of Driving Models from Large-scale Video Datasets
Robust perception-action models should be learned from training data wit...
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09/29/2016
OPML: A One-Pass Closed-Form Solution for Online Metric Learning
To achieve a low computational cost when performing online metric learni...
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01/06/2016
Streaming Gibbs Sampling for LDA Model
Streaming variational Bayes (SVB) is successful in learning LDA models i...
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08/21/2015