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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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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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Automatic Data Augmentation by Learning the Deterministic Policy
Aiming to produce sufficient and diverse training samples, data augmenta...
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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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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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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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Better Rewards Yield Better Summaries: Learning to Summarise Without References
Reinforcement Learning (RL) based document summarisation systems yield s...
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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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Reward Learning for Efficient Reinforcement Learning in Extractive Document Summarisation
Document summarisation can be formulated as a sequential decision-making...
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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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Deep Learning for Spacecraft Pose Estimation from Photorealistic Rendering
On-orbit proximity operations in space rendezvous, docking and debris re...
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NAS-FCOS: Fast Neural Architecture Search for Object Detection
The success of deep neural networks relies on significant architecture e...
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Preference-based Interactive Multi-Document Summarisation
Interactive NLP is a promising paradigm to close the gap between automat...
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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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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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GraphNAS: Graph Neural Architecture Search with Reinforcement Learning
Graph Neural Networks (GNNs) have been popularly used for analyzing non-...
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Crowdsourcing Lightweight Pyramids for Manual Summary Evaluation
Conducting a manual evaluation is considered an essential part of summar...
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Thinkey: A Scalable Blockchain Architecture
This paper presents Thinkey, an efficient, secure, infinitely scalable a...
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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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Risk Averse Robust Adversarial Reinforcement Learning
Deep reinforcement learning has recently made significant progress in so...
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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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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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Hierarchical Routing Mixture of Experts
In regression tasks the distribution of the data is often too complex to...
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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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CariGAN: Caricature Generation through Weakly Paired Adversarial Learning
Caricature generation is an interesting yet challenging task. The primar...
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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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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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Online Deep Metric Learning
Metric learning learns a metric function from training data to calculate...
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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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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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Cross-Domain Adversarial Auto-Encoder
In this paper, we propose the Cross-Domain Adversarial Auto-Encoder (CDA...
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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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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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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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Voice Impersonation using Generative Adversarial Networks
Voice impersonation is not the same as voice transformation, although th...
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Reinforcement Learning from Imperfect Demonstrations
Robust real-world learning should benefit from both demonstrations and i...
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Speaker identification from the sound of the human breath
This paper examines the speaker identification potential of breath sound...
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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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A Labelling Framework for Probabilistic Argumentation
The combination of argumentation and probability paves the way to new ac...
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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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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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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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Joint RNN Model for Argument Component Boundary Detection
Argument Component Boundary Detection (ACBD) is an important sub-task in...
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Crowdsourcing Argumentation Structures in Chinese Hotel Reviews
Argumentation mining aims at automatically extracting the premises-claim...
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WebCaricature: a benchmark for caricature face recognition
Caricatures are facial drawings by artists with exaggeration on certain ...
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Reinforcement Learning Based Argument Component Detection
Argument component detection (ACD) is an important sub-task in argumenta...
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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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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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Streaming Gibbs Sampling for LDA Model
Streaming variational Bayes (SVB) is successful in learning LDA models i...
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Multi-agent Reinforcement Learning with Sparse Interactions by Negotiation and Knowledge Transfer
Reinforcement learning has significant applications for multi-agent syst...
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