Dengxin Dai


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 current research interests lie in (1) Autonomous Driving; 2) Vision Algorithms with Limited/Weak Supervision; 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.



"PathTrack: Fast Trajectory Annotation with Path Supervision", S. Manen, M. Gygli, D. Dai, L. Van Gool, ICCV 2017.
[paper] [BibTex] [Data (coming in a few days)]

"Domain Generalization and Adaptation using Low Rank Exemplar SVMs", W. Li, Z. Xu, D. Xu, D. Dai, and L. Van Gool , T-PAMI.
[paper] [BibTex]

"Speech-based Visual Question Answering", Ted Zhang, Dengxin Dai, Tinne Tuytelaars, Marie-Francine Moens, Luc Van Gool, [paper] [BibTex] [Code coming] [Data coming]


"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]    


"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]


"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]


"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]    


"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]    


"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]    


  • 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

    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]