Dengxin Dai


Welcome

I am a Postdoctoral Researcher in the ​​Computer Vision Laboratory at ETH Zurich, working with Prof. Luc Van Gool. Before that, I was a PhD student under the supervision of Prof. Luc Van Gool and Prof. Gerhard Schmitt.

My research interests lie in (1) Vision Algorithms with Limited/Weak Supervision and Limited Computational Resource; (2) Urban Scene Understanding; and (3) Computational Photography.

Student Projects: I enjoy the chance of supervising motivated students for research projects. If you have interest in working with me, feel free to contact me.

Publications

2016

"Fast Optical Flow using Dense Inverse Search", T. Kroeger, R. Timofte, D. Dai, and L. Van Gool , ECCV 2016.
[paper] [project] [code] [BibTex]

"Scale-Aware Alignment of Hierarchical Image Segmentation", Y. Chen, D. Dai, J. Pont-Tuset and L. Van Gool , CVPR 2016.
[paper] [code] [BibTex]

"Fast Algorithms for Linear and Kernel SVM+", W. Li, D. Dai, M. Tan, D. Xu and L. Van Gool , CVPR 2016.
[paper] [code ] [BibTex]

"Is Image Suepr-resolution Helpful for Other Vision Tasks?", D. Dai, Y. Wang, Y. Chen, L. Van Gool, WACV 2016.
[paper] [ arXiv link] [project ] [ code ] [BibTex]

"Leveraging single for multi-target tracking using a novel trajectory overlap affinity measure", S. Manen, R. Timofte, D. Dai, L. Van Gool, WACV 2016.
[paper] [Supp. Material] [BibTex]

"Unsupervised High-level Feature Learning by Ensemble Projection for Semi-supervised Image Classification and Image Clustering", Dengxin Dai and Luc Van Gool, Tech. Report.
[paper]     [project]     [code]     [BibTex]    

2015

"Metric imitation by manifold transfer for efficient vision applications", D. Dai, T. Kroeger, R. Timofte, L. Van Gool, CVPR 2015.
[paper] [poster] [supp. mat.] [abstract] [project] [code] [BibTex]

"Joint Vanishing Point Extraction and Tracking", T. Kroeger, D. Dai, L. Van Gool, CVPR 2015, (Oral).
[paper] [supp. mat.] [abstract] [project] [BibTex]

"Jointly Optimized Regressors for Image Super-resolution", D. Dai, R. Timofte, L. Van Gool, Eurographics 2015, (Oral).
[paper] [project] [code] [slide] [BibTex]

"Discovery of Sets of Mutually Orthogonal Vanishing Points in Videos", T. Kroeger, D. Dai, R. Timofte, L. Van Gool, WACV-W 2015.
[paper] [BibTex]

2014

"The Synthesizability of Texture Examples", Dengxin Dai, Hayko Riemenschneider, and Luc Van Gool, CVPR 2014.
[project] [code] [data] [paper] [BibTex]

"Latent Dictionary Learning for Sparse Representation based Classification", Meng Yang, Dengxin Dai, Linlin Shen, and Luc Van Gool, CVPR 2014.
[paper] [BibTex]

2013

"Example-based Facade Texture Synthesis", Dengxin Dai, Hayko Riemenschneider, Gerhard Schmitt, and Luc Van Gool, ICCV 2013 .
[project]     [data]     [PDF]     [BibTex]    

"Ensemble Projection for Semi-supervised Image Classification", Dengxin Dai and Luc Van Gool, ICCV 2013 .
[project]     [code]     [PDF]     [BibTex]    

2012

"Learning Domain Knowledge for Facade Labeling", Dengxin Dai, Mukta Prasad, Gerhard Schmitt, and Luc Van Gool, ECCV 2012 .
[project]     [PDF]     [BibTex]    

"Ensemble Partitioning for Unsupervised Image Categorization", Dengxin Dai, Mukta Prasad, Christian Leistner, and Luc Van Gool, ECCV 2012 .
[project]     [PDF]     [BibTex]    

"SAR-Based Terrain Classification Using Weakly Supervised Hierarchical Markov Aspect Models", Wen Yang, Dengxin Dai, Bill Triggs, and Gui-Song Xia, IEEE Trans. Image Process , 2012.
[PDF]     [BibTex]    

Previous

"Multilevel Local Pattern Histogram for SAR Image Classification", Dengxin Dai, Wen Yang, and Hong Sun, IEEE Geosci. Remote Sens. Lett. , 2011.
[code]     [PDF]     [BibTex]    

"Satellite Image Classification via Two-Layer Sparse Coding With Biased Image Representation ", Dengxin Dai and Wen Yang IEEE Geosci. Remote Sens. Lett. , 2011.
[data]     [PDF]     [BibTex]    

"Discovering Scene Categories by Information Projection and Cluster Sampling", Dengxin Dai, Tianfu Wu, and Song-Chun Zhu CVPR 2010
[PDF]     [BibTex]    

Code

  • The code of some of my work can be found at the corresponding project page!
  • Bing Image Crawler : A Shell + Python script to download images from Bing image search!
  • A matlab wrapper (linux) for the Ranking SVM !
  • Services

  • Conference Reviewer: CVPR 2017, SIGGRAPH 2016, CVPR 2016, Pacific Graphics 2016, CVPR 2015, SIGGRAPH 2014.
  • Journal Reviewer: IEEE Trans. Pattern Anal. Mach. Intell., IEEE Trans. Image Process. , IEEE Trans. Geosci. Remote Sens. , IEEE Transactions on Multimedia Comput. Vis. and Image Und. , Pattern Recognition and IEEE Geosci. Remote Sens. Lett.
  • Contact Me

    Address:
    Computer Vision Laboratory
    Sternwartstrasse 7
    ETH Zentrum
    CH - 8092 Zürich, Switzerland
    Tel: +41 44 63 25426
    Fax: +41 44 63 21199
    Office: ETF C115
    E-mail: dai[at]vision.ee.ethz.ch