Sen Wang : Publications

Journal papers

• [1]

  Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds

  Bo Yang‚ Jianan Wang‚ Ronald Clark‚ Qingyong Hu‚ Sen Wang‚ Andrew Markham and Niki Trigoni

  In Conference on Neural Information Processing Systems (NeurIPS Spotlight). 2019.

  Details about Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds | BibTeX data for Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds | Download  (pdf) of Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds | Link to Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds

• [2]

  Robust Attentional Aggregation of Deep Feature Sets for Multi−view 3D Reconstruction

  Bo Yang‚ Sen Wang‚ Andrew Markham and Niki Trigoni

  In International Journal of Computer Vision (IJCV). 2019.

  Details about Robust Attentional Aggregation of Deep Feature Sets for Multi−view 3D Reconstruction | BibTeX data for Robust Attentional Aggregation of Deep Feature Sets for Multi−view 3D Reconstruction | Download  (pdf) of Robust Attentional Aggregation of Deep Feature Sets for Multi−view 3D Reconstruction | DOI (10.1007/s11263-019-01217-w)

• [3]

  Learning Monocular Visual Odometry through Geometry−Aware Curriculum Learning

  Muhamad Risqi U. Saputra Pedro P. B. de Gusmao Sen Wang Andrew Markham and Niki Trigoni

  In IEEE International Conference on Robotics and Automation (ICRA). 2019.

  Details about Learning Monocular Visual Odometry through Geometry−Aware Curriculum Learning | BibTeX data for Learning Monocular Visual Odometry through Geometry−Aware Curriculum Learning | Download  (pdf) of Learning Monocular Visual Odometry through Geometry−Aware Curriculum Learning

• [4]

  Efficient Indoor Positioning with Visual Experiences via Lifelong Learning

  Hongkai Wen‚ Ronald Clark‚ Sen Wang‚ Xiaoxuan Lu‚ Bowen Du‚ Wen Hu and Niki Trigoni

  In IEEE Transactions on Mobile Computing (TMC). 2018.

  Details about Efficient Indoor Positioning with Visual Experiences via Lifelong Learning | BibTeX data for Efficient Indoor Positioning with Visual Experiences via Lifelong Learning | Download  (pdf) of Efficient Indoor Positioning with Visual Experiences via Lifelong Learning

• [5]

  Learning with training wheels: Speeding up training with a simple controller for deep reinforcement learning

  N Trigoni L Xie S Wang S Rosa AC Markham

  In IEEE Intl Conference on Robotics and Automation (ICRA). 2018.

  Details about Learning with training wheels: Speeding up training with a simple controller for deep reinforcement learning | BibTeX data for Learning with training wheels: Speeding up training with a simple controller for deep reinforcement learning | Download  (pdf) of Learning with training wheels: Speeding up training with a simple controller for deep reinforcement learning

• [6]

  Increasing the efficiency of 6−DoF visual localization using multi−modal sensory data

  Ronald Clark‚ Sen Wang‚ Hongkai Wen‚ Niki Trigoni and Andrew Markham

  In IEEE−RAS 16th International Conference on Humanoid Robots. 2016.

  Details about Increasing the efficiency of 6−DoF visual localization using multi−modal sensory data | BibTeX data for Increasing the efficiency of 6−DoF visual localization using multi−modal sensory data | Download Increasing the Efficiency of 6-DoF Visual Localization Using Multi-Modal.pdf of Increasing the efficiency of 6−DoF visual localization using multi−modal sensory data | Download PublicationFile of Increasing the efficiency of 6−DoF visual localization using multi−modal sensory data

Conference papers

• [1]

  Learning with Stochastic Guidance for Robot Navigation

  Linhai Xie‚ Yishu Miao‚ Sen Wang‚ Phil Blunsom‚ Zhihua Wang‚ Changhao Cheng‚ Andrew Markham and Niki Trigoni

  In IEEE Transactions on Neural Networks and Learning Systems (TNNLS). IEEE. 2020.

  accepted

  Details about Learning with Stochastic Guidance for Robot Navigation | BibTeX data for Learning with Stochastic Guidance for Robot Navigation | Download  (pdf) of Learning with Stochastic Guidance for Robot Navigation

• [2]

  3D−PhysNet: Learning the Intuitive Physics of Non−Rigid Object Deformations

  Zhihua Wang‚ Stefano Rosa‚ Bo Yang‚ Sen Wang‚ Niki Trigoni and Andrew Markham

  In 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence IJCAI−ECAI. 2018.

  Details about 3D−PhysNet: Learning the Intuitive Physics of Non−Rigid Object Deformations | BibTeX data for 3D−PhysNet: Learning the Intuitive Physics of Non−Rigid Object Deformations | Download  (pdf) of 3D−PhysNet: Learning the Intuitive Physics of Non−Rigid Object Deformations

• [3]

  Snoopy: Sniffing Your Smartwatches Passwords via Deep Sequence Learning

  Chris Xiaoxuan Lu‚ Bowen Du‚ Hongkai Wen‚ Sen Wang‚ Andrew Markham‚ Ivan Martinovic‚ Yiran Shen and Niki Trigoni

  In ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp). 2018.

  Details about Snoopy: Sniffing Your Smartwatches Passwords via Deep Sequence Learning | BibTeX data for Snoopy: Sniffing Your Smartwatches Passwords via Deep Sequence Learning | Download slides.key of Snoopy: Sniffing Your Smartwatches Passwords via Deep Sequence Learning | Download [UbiComp2018]snoopy.pdf of Snoopy: Sniffing Your Smartwatches Passwords via Deep Sequence Learning

• [4]

  SCAN: Learning Speaker Identity From Noisy Sets of Sensor Data

  Chris Xiaoxuan Lu‚ Hongkai Wen‚ Sen Wang‚ Andrew Markham and Niki Trigoni

  In ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN). 2017.

  Details about SCAN: Learning Speaker Identity From Noisy Sets of Sensor Data | BibTeX data for SCAN: Learning Speaker Identity From Noisy Sets of Sensor Data | Download  (pdf) of SCAN: Learning Speaker Identity From Noisy Sets of Sensor Data

• [5]

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

  Ronald Clark‚ Sen Wang‚ Andrew Markham‚ Niki Trigoni and Hongkai Wen

  In Computer Vision and Pattern Recognition (CVPR). 2017.

  Details about VidLoc: A Deep Spatio−Temporal Model for 6−DoF Video−Clip Relocalization | BibTeX data for VidLoc: A Deep Spatio−Temporal Model for 6−DoF Video−Clip Relocalization | Download  (pdf) of VidLoc: A Deep Spatio−Temporal Model for 6−DoF Video−Clip Relocalization

• [6]

  Towards Monocular Vision based Obstacle Avoidance through Deep Reinforcement Learning

  Linhai Xie‚ Sen Wang‚ Andrew Markham and Niki Trigoni

  In RSS 2017 workshop on New Frontiers for Deep Learning in Robotics. 2017.

  Details about Towards Monocular Vision based Obstacle Avoidance through Deep Reinforcement Learning | BibTeX data for Towards Monocular Vision based Obstacle Avoidance through Deep Reinforcement Learning | Download  (pdf) of Towards Monocular Vision based Obstacle Avoidance through Deep Reinforcement Learning

• [7]

  GraphTinker: Outlier Rejection and Inlier Injection for Pose Graph SLAM

  Linhai Xie‚ Sen Wang‚ Andrew Markham and Niki Trigoni

  In Intelligent Robots and Systems (IROS)‚ 2017 IEEE/RSJ International Conference on. IEEE. 2017.

  Details about GraphTinker: Outlier Rejection and Inlier Injection for Pose Graph SLAM | BibTeX data for GraphTinker: Outlier Rejection and Inlier Injection for Pose Graph SLAM | Download  (pdf) of GraphTinker: Outlier Rejection and Inlier Injection for Pose Graph SLAM