PhD Dissertation

  • Phong D. Vo, Transductive Inference for Image Interpretation and Search, TELECOM ParisTech, 2014. PDF

Conference papers

  • Phong D. Vo, Alexandru Ginsca, Herv'e Le Borgne, Adrian Popescu, Harnessing noisy Web images for deep representation, Journal of Computer Vision and Image Understanding 164, 2017.
  • Phong D. Vo, Hichem Sahbi, Contextual Kernel Map Learning for Scene Transduction, ICIP, 2015.
  • Phong D. Vo, Alexandru Ginsca, Herv'e Le Borgne, Adrian Popescu, Effective Training of Convolutional Networks using Noisy Web Images, 13th International Workshop on Content-Based Multimedia Indexing (CBMI), Prague, Czech Republic, June 2015.
  • Alexandru-Lucian Gînsca, Adrian Popescu, Hervé Le Borgne, Nicolas Ballas, Phong D. Vo, Ioannis Kanellos, Large-Scale Image Mining with Flickr Groups, MultiMedia Modeling - 21st International Conference, Sydney, NSW, Australia, 2015.
  • Phong D. Vo, Hichem Sahbi, Modeling Label Dependencies in Kernel Learning for Image Annotation, IEEE International Conference on Image Processing, Paris, France, October, 2014.
  • Phong D. Vo, Hichem Sahbi, Semantic Subspace Learning for Mental Search in Satellite Images, International Geoscience and Remote Sensing Symposium, Melbourne, Australia, 21 - 26 July, 2013. (Best Paper Award Nomination)
  • Phong D. Vo, Hichem Sahbi, Spacious: An Interactive Mental Search Interface, ACM SIGIR Conference, Dublin, Ireland, 28 July - 1 Aug, 2013.
  • Dung A. Doan, Ngoc-Trung Tran, Phong D. Vo, Bac Le, Atsuo Yoshitaka, Combining Descriptors Extracted from Feature Maps of Deconvolutional Networks and SIFT Descriptors in Scene Image Classification, 13th International Conference on Computational Science and Its Applications (ICCSA), Ho Chi Minh City, Vietnam, June 24-27, 2013.
  • Phong D. Vo, Hichem Sahbi, Transductive Inference & Kernel Design for Object Class Segmentation, IEEE International Conference on Image Processing, Orlando, Florida, USA, Sept 29 - Oct 3, 2012
  • Phong D. Vo, Hichem Sahbi, Transductive Kernel Map Learning and Its Application to Image Annotation, British Machine Vision Conference, Surrey, UK, Sept 3 - 7, 2012
  • Vu Nguyen, Trung Ngoc Tran, Phong D. Vo, Le Hoai Bac, Efficient Image Segmentation Incorporating Photometric and Geometric Information, IAENG International Conference on Imaging Engineering Hong Kong, 16-18 March, 2011
  • Vu Pham, Phong D. Vo, Hung Vu Thanh, Bac Le Hoai, GPU Accelerated Gaussian Mixture Model for Background Subtraction, IEEE-RIVF 2010 International Conference on Computing and Telecommunication Technologies, Vietnam National University, Nov. 01-04, 2010
  • Trung Tran, Phong D. Vo, Bac Le, Combining Color and Texture for A Robust Interactive Segmentation Algorithm, IEEE-RIVF 2010 International Conference on Computing and Telecommunication Technologies, Vietnam National University, Nov. 01-04, 2010
  • Trung Tran Ngoc, Phong D. Vo, Bac Le Hoai, Detecting probable regions of human in still images using raw edges, The First International Conference on Knowledge Systems Engineering, College of Technology, Vietnam National University, Hanoi, Vietnam, October 13-17, 2009
  • Phong D. Vo, Trung Ngoc Tran, Le Hoai Bac, On Evaluating Sport Event Recognition using Bag-of-Words Model, IEEE-RIVF, Danang University of Technology, July 13-17, 2009
  • Phong D. Vo, Bac Le Hoai, Dental Radiographs Segmentation Based on Anatomy, IEEE-RIVF International Conference on Research, Innovation and Vision for the Future in Computing & Communication Technologies, HCMC University of Science, Ho Chi Minh, Vietnam, July 13-17, 2008

Technical reports

  • Phong D. Vo, Hichem Sahbi, Transductive Kernel Learning for Image Annotation and Search, Technical report, Telecom ParisTech, 2012
  • Phong D. Vo, Hichem Sahbi, An Introduction to Data Visualization and Its Application to Satellite Image Exploration, Technical report, Telecom ParisTech, 2011