Sen Wang

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Carnegie Mellon University ∙ Griffith University ∙ Heriot-Watt University ∙ University of South Florida ∙ 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

Action2Motion: Conditioned Generation of 3D Human Motions

Action recognition is a relatively established task, where givenan input...
07/30/2020 ∙ by Chuan Guo, et al. ∙ 9 ∙ share

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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 ...
07/27/2020 ∙ by Zhi Chen, et al. ∙ 4 ∙ share

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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...
07/17/2020 ∙ by Shihao Zou, et al. ∙ 52 ∙ share

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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...
06/07/2020 ∙ by Cong Wang, et al. ∙ 15 ∙ share

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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 ...
06/05/2020 ∙ by Xinxin Zuo, et al. ∙ 0 ∙ share

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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...
05/10/2020 ∙ by Mateusz Ochal, et al. ∙ 0 ∙ share

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RadarSLAM: Radar based Large-Scale SLAM in All Weathers

Numerous Simultaneous Localization and Mapping (SLAM) algorithms have be...
05/05/2020 ∙ by Ziyang Hong, et al. ∙ 0 ∙ share

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Polarization Human Shape and Pose Dataset

Polarization images are known to be able to capture polarized reflected ...
04/30/2020 ∙ by Shihao Zou, et al. ∙ 14 ∙ share

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ZSTAD: Zero-Shot Temporal Activity Detection

An integral part of video analysis and surveillance is temporal activity...
03/12/2020 ∙ by Lingling Zhang, et al. ∙ 12 ∙ share

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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...
03/02/2020 ∙ by Sen Wang, et al. ∙ 11 ∙ share

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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...
02/20/2020 ∙ by Qilin Fan, et al. ∙ 0 ∙ share

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Privacy-Preserving Image Classification in the Local Setting

Image data has been greatly produced by individuals and commercial vendo...
02/09/2020 ∙ by Sen Wang, et al. ∙ 0 ∙ share

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Privacy-Preserving Boosting in the Local Setting

In machine learning, boosting is one of the most popular methods that de...
02/06/2020 ∙ by Sen Wang, et al. ∙ 0 ∙ share

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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 ...
01/02/2020 ∙ by Cheng-Xiang Wang, 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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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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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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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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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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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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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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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 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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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Sen Wang

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