Deep Learning: Publications

Journal papers

• [1]

  Segmentation is All You Need

  Zehua Cheng‚ Yuxiang Wu‚ Zhenghua Xu‚ Thomas Lukasiewicz and Weiyang Wang

  2019.

  Details about Segmentation is All You Need | BibTeX data for Segmentation is All You Need | Link to Segmentation is All You Need

• [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]

  Distilling Knowledge From a Deep Pose Regressor Network

  Muhamad Risqi U. Saputra Pedro P. B. de Gusmao Yasin Almalioglu Andrew Markham and Niki Trigoni

  In IEEE/CVF International Conference on Computer Vision (ICCV). 2019.

  Details about Distilling Knowledge From a Deep Pose Regressor Network | BibTeX data for Distilling Knowledge From a Deep Pose Regressor Network | Download of Distilling Knowledge From a Deep Pose Regressor Network

• [4]

  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

• [5]

  GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks

  Y. Almalioglu M. R. U. Saputra P. P. de Gusmao A. Markham and N. Trigoni

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

  Details about GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks | BibTeX data for GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks | Download  (pdf) of GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks

Conference papers

• [1]

  Long Text Analysis Using Sliced Recurrent Neural Networks with Breaking Point Information Enrichment

  Bo Li‚ Zehua Cheng‚ Zhenghua Xu‚ Wei Ye‚ Thomas Lukasiewicz and Shikun Zhang

  In Proceedings of the 2019 IEEE International Conference on Acoustics‚ Speech and Signal Processing‚ ICASSP 2019‚ Brighton‚ UK‚ May 12−17‚ 2019. IEEE Computer Society. May, 2019.

  Details about Long Text Analysis Using Sliced Recurrent Neural Networks with Breaking Point Information Enrichment | BibTeX data for Long Text Analysis Using Sliced Recurrent Neural Networks with Breaking Point Information Enrichment | Link to Long Text Analysis Using Sliced Recurrent Neural Networks with Breaking Point Information Enrichment