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Radar SLAM: A Robust SLAM System for All Weather Conditions
A Simultaneous Localization and Mapping (SLAM) system must be robust to ...
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How Sensitive are Meta-Learners to Dataset Imbalance?
Meta-Learning (ML) has proven to be a useful tool for training Few-Shot ...
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NOMA for Next-generation Massive IoT: Performance Potential and Technology Directions
Broader applications of the Internet of Things (IoT) are expected in the...
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Semantic Disentangling Generalized Zero-Shot Learning
Generalized Zero-Shot Learning (GZSL) aims to recognize images from both...
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Few-Shot Learning with Class Imbalance
Few-shot learning aims to train models on a limited number of labeled sa...
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Watch and Learn: Mapping Language and Noisy Real-world Videos with Self-supervision
In this paper, we teach machines to understand visuals and natural langu...
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RADIATE: A Radar Dataset for Automotive Perception
Datasets for autonomous cars are essential for the development and bench...
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BiteNet: Bidirectional Temporal Encoder Network to Predict Medical Outcomes
Electronic health records (EHRs) are longitudinal records of a patient's...
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Action2Motion: Conditioned Generation of 3D Human Motions
Action recognition is a relatively established task, where givenan input...
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Rethinking Generative Zero-Shot Learning: An Ensemble Learning Perspective for Recognising Visual Patches
Zero-shot learning (ZSL) is commonly used to address the very pervasive ...
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3D Human Shape Reconstruction from a Polarization Image
This paper tackles the problem of estimating 3D body shape of clothed hu...
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Multi-Task Reinforcement Learning based Mobile Manipulation Control for Dynamic Object Tracking and Grasping
Agile control of mobile manipulator is challenging because of the high c...
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SparseFusion: Dynamic Human Avatar Modeling from Sparse RGBD Images
In this paper, we propose a novel approach to reconstruct 3D human body ...
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A Comparison of Few-Shot Learning Methods for Underwater Optical and Sonar Image Classification
Deep convolutional neural networks have shown to perform well in underwa...
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RadarSLAM: Radar based Large-Scale SLAM in All Weathers
Numerous Simultaneous Localization and Mapping (SLAM) algorithms have be...
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Polarization Human Shape and Pose Dataset
Polarization images are known to be able to capture polarized reflected ...
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ZSTAD: Zero-Shot Temporal Activity Detection
An integral part of video analysis and surveillance is temporal activity...
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Robot Calligraphy using Pseudospectral Optimal Control in Conjunction with a Novel Dynamic Brush Model
Chinese calligraphy is a unique art form with great artistic value but d...
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PA-Cache: Learning-based Popularity-Aware Content Caching in Edge Networks
With the aggressive growth of smart environments, a large amount of data...
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Privacy-Preserving Image Classification in the Local Setting
Image data has been greatly produced by individuals and commercial vendo...
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Privacy-Preserving Boosting in the Local Setting
In machine learning, boosting is one of the most popular methods that de...
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Artificial Intelligence Enabled Wireless Networking for 5G and Beyond: Recent Advances and Future Challenges
The fifth generation (5G) wireless communication networks are currently ...
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Snoopy: Sniffing Your Smartwatch Passwords via Deep Sequence Learning
Demand for smartwatches has taken off in recent years with new models wh...
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300 GHz Radar Object Recognition based on Deep Neural Networks and Transfer Learning
For high resolution scene mapping and object recognition, optical techno...
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Robot Calligraphy using Pseudospectral Optimal Control in Conjunction with a Simulated Brush Model
Chinese calligraphy is a unique form of art that has great artistic valu...
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Temporal Self-Attention Network for Medical Concept Embedding
In longitudinal electronic health records (EHRs), the event records of a...
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A Multi-level Neural Network for Implicit Causality Detection in Web Texts
Mining causality from text is a complex and crucial natural language und...
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Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds
We propose a novel, conceptually simple and general framework for instan...
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Decentralized Learning with Average Difference Aggregation for Proactive Online Social Care
The Internet and the Web are being increasingly used in proactive social...
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Detailed Human Shape Estimation from a Single Image by Hierarchical Mesh Deformation
This paper presents a novel framework to recover detailed human body sha...
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Learning Monocular Visual Odometry through Geometry-Aware Curriculum Learning
Inspired by the cognitive process of humans and animals, Curriculum Lear...
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Learning with Training Wheels: Speeding up Training with a Simple Controller for Deep Reinforcement Learning
Deep Reinforcement Learning (DRL) has been applied successfully to many ...
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Deep Reinforcement Learning for Autonomous Driving
Reinforcement learning has steadily improved and outperform human in lot...
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Part-level Car Parsing and Reconstruction from Single Street View
In this paper, we make the first attempt to build a framework to simulta...
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Learning with Stochastic Guidance for Navigation
Due to the sparse rewards and high degree of environment variation, rein...
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Distributionally Robust Semi-Supervised Learning for People-Centric Sensing
Semi-supervised learning is crucial for alleviating labelling burdens in...
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Attentional Aggregation of Deep Feature Sets for Multi-view 3D Reconstruction
We study the problem of recovering an underlying 3D shape from a set of ...
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NeuRec: On Nonlinear Transformation for Personalized Ranking
Modelling user-item interaction patterns is an important task for person...
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3D-PhysNet: Learning the Intuitive Physics of Non-Rigid Object Deformations
The ability to interact and understand the environment is a fundamental ...
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Defo-Net: Learning Body Deformation using Generative Adversarial Networks
Modelling the physical properties of everyday objects is a fundamental p...
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Multi-modality Sensor Data Classification with Selective Attention
Multimodal wearable sensor data classification plays an important role i...
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POL-LWIR Vehicle Detection: Convolutional Neural Networks Meet Polarised Infrared Sensors
For vehicle autonomy, driver assistance and situational awareness, it is...
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Towards the Standardization of Non-orthogonal Multiple Access for Next Generation Wireless Networks
Non-orthogonal multiple access (NoMA) as an efficient way of radio resou...
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Multimodal Sentiment Analysis with Word-Level Fusion and Reinforcement Learning
With the increasing popularity of video sharing websites such as YouTube...
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Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling
Many natural language processing tasks solely rely on sparse dependencie...
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Predicting Rich Drug-Drug Interactions via Biomedical Knowledge Graphs and Text Jointly Embedding
Minimizing adverse reactions caused by drug-drug interactions has always...
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Safe Medicine Recommendation via Medical Knowledge Graph Embedding
Most of the existing medicine recommendation systems that are mainly bas...
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DeepVO: Towards End-to-End Visual Odometry with Deep Recurrent Convolutional Neural Networks
This paper studies monocular visual odometry (VO) problem. Most of exist...
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UnDeepVO: Monocular Visual Odometry through Unsupervised Deep Learning
We propose a novel monocular visual odometry (VO) system called UnDeepVO...
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3D Object Reconstruction from a Single Depth View with Adversarial Learning
In this paper, we propose a novel 3D-RecGAN approach, which reconstructs...
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