Sen Wang

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Carnegie Mellon University ∙ Griffith University ∙ Heriot-Watt University ∙ The University of Queensland

Assistant Professor in Robotics and Autonomous Systems at Heriot-Watt University and a faculty member of the Edinburgh Centre for Robotics

300 GHz Radar Object Recognition based on Deep Neural Networks and Transfer Learning

For high resolution scene mapping and object recognition, optical techno...
12/06/2019 ∙ by Marcel Sheeny, et al. ∙ 40 ∙ share

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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...
04/24/2019 ∙ by Hao Zhu, et al. ∙ 6 ∙ share

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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...
09/25/2017 ∙ by Sen Wang, et al. ∙ 0 ∙ share

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UnDeepVO: Monocular Visual Odometry through Unsupervised Deep Learning

We propose a novel monocular visual odometry (VO) system called UnDeepVO...
09/20/2017 ∙ by Ruihao Li, et al. ∙ 0 ∙ share

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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...
08/26/2017 ∙ by Bo Yang, et al. ∙ 0 ∙ share

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Safety Verification of Deep Neural Networks

Deep neural networks have achieved impressive experimental results in im...
10/21/2016 ∙ by Xiaowei Huang, et al. ∙ 0 ∙ share

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VidLoc: A Deep Spatio-Temporal Model for 6-DoF Video-Clip Relocalization

Machine learning techniques, namely convolutional neural networks (CNN) ...
02/21/2017 ∙ by Ronald Clark, et al. ∙ 0 ∙ share

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Detailed Surface Geometry and Albedo Recovery from RGB-D Video Under Natural Illumination

In this paper we present a novel approach for depth map enhancement from...
02/06/2017 ∙ by Xinxin Zuo, et al. ∙ 0 ∙ share

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VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem

In this paper we present an on-manifold sequence-to-sequence learning ap...
01/29/2017 ∙ by Ronald Clark, et al. ∙ 0 ∙ share

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EEG-based Intention Recognition from Spatio-Temporal Representations via Cascade and Parallel Convolutional Recurrent Neural Networks

Brain-Computer Interface (BCI) is a system empowering humans to communic...
08/22/2017 ∙ by Dalin Zhang, et al. ∙ 0 ∙ share

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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...
12/24/2017 ∙ by Meng Wang, et al. ∙ 0 ∙ share

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PDD Graph: Bridging Electronic Medical Records and Biomedical Knowledge Graphs via Entity Linking

Electronic medical records contain multi-format electronic medical data ...
07/17/2017 ∙ by Meng Wang, et al. ∙ 0 ∙ share

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Safe Medicine Recommendation via Medical Knowledge Graph Embedding

Most of the existing medicine recommendation systems that are mainly bas...
10/16/2017 ∙ by Meng Wang, et al. ∙ 0 ∙ share

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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...
02/12/2018 ∙ by Yan Chen, et al. ∙ 0 ∙ share

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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...
01/31/2018 ∙ by Tao Shen, et al. ∙ 0 ∙ share

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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...
02/03/2018 ∙ by Minghai Chen, et al. ∙ 0 ∙ share

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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...
04/07/2018 ∙ by Marcel Sheeny, et al. ∙ 0 ∙ share

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Multi-modality Sensor Data Classification with Selective Attention

Multimodal wearable sensor data classification plays an important role i...
04/16/2018 ∙ by Xiang Zhang, et al. ∙ 0 ∙ share

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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 ...
04/25/2018 ∙ by Zhihua Wang, et al. ∙ 0 ∙ share

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NeuRec: On Nonlinear Transformation for Personalized Ranking

Modelling user-item interaction patterns is an important task for person...
05/08/2018 ∙ by Shuai Zhang, et al. ∙ 0 ∙ share

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Defo-Net: Learning Body Deformation using Generative Adversarial Networks

Modelling the physical properties of everyday objects is a fundamental p...
04/16/2018 ∙ by Zhihua Wang, et al. ∙ 0 ∙ share

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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 ...
08/02/2018 ∙ by Bo Yang, et al. ∙ 0 ∙ share

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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...
11/27/2018 ∙ by Qichuan Geng, et al. ∙ 0 ∙ share

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Learning with Stochastic Guidance for Navigation

Due to the sparse rewards and high degree of environment variation, rein...
11/27/2018 ∙ by Linhai Xie, et al. ∙ 0 ∙ share

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Deep Reinforcement Learning for Autonomous Driving

Reinforcement learning has steadily improved and outperform human in lot...
11/28/2018 ∙ by Sen Wang, et al. ∙ 0 ∙ share

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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 ...
12/12/2018 ∙ by Linhai Xie, et al. ∙ 0 ∙ share

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Distributionally Robust Semi-Supervised Learning for People-Centric Sensing

Semi-supervised learning is crucial for alleviating labelling burdens in...
11/12/2018 ∙ by Kaixuan Chen, et al. ∙ 0 ∙ share

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Learning Monocular Visual Odometry through Geometry-Aware Curriculum Learning

Inspired by the cognitive process of humans and animals, Curriculum Lear...
03/25/2019 ∙ by Muhamad Risqi U. Saputra, et al. ∙ 0 ∙ share

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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...
06/04/2019 ∙ by Bo Yang, et al. ∙ 0 ∙ share

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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...
05/19/2019 ∙ by Shaoxiong Ji, et al. ∙ 0 ∙ share

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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...
08/18/2019 ∙ by Shining Liang, et al. ∙ 0 ∙ share

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Temporal Self-Attention Network for Medical Concept Embedding

In longitudinal electronic health records (EHRs), the event records of a...
09/15/2019 ∙ by Xueping Peng, et al. ∙ 0 ∙ share

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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...
12/10/2019 ∙ by Chris Xiaoxuan Lu, et al. ∙ 0 ∙ share

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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...
11/18/2019 ∙ by Sen Wang, et al. ∙ 0 ∙ share

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Sen Wang

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