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DAI Qionghai


Dai Qionghai

Professor, Tsinghua University

Academician of Chinese Academy of Engineering


Personal Experience


2005.1- present Tsinghua University, Professor

1999.1-2004.12 Department of Automation, Tsinghua University, Associate Professor

1997.1-1998.12 Department of Automation, Tsinghua University, Post-doctor


Awards and Honors


1. “3D Video Reconstruction and Display Techniques and Apparatuses”, National Invention Award, First Prize, 2012

2. “Novel Techniques in Video Streaming Service for Converged Network”, National Invention Award, Second Prize, 2008

3. National Science Fund for Distinguished Young Scholars, 2005


Research Interests


1.Computational Photography

2.Computational Imaging

3.Computer Vision

4. 3D Video


Selected Publications


[1] G. Ye, E. Garces, Y. Liu, Q. Dai, D. Gutierrez, “Intrinsic Video and Applications,” to appear in ACM Transactions on Graphics, 2014

[2] Y. Gao, R. Ji, P. Cui, Q. Dai, G. Hua, “Hyperspectral Image Classification Through Bilayer Graph-Based Learning,” IEEE Transactions on Image Processing, Vol. 23, No. 7, pp. 2769-2778, 2014

[3] X. Hu, Y. Deng, X. Lin, J. Suo, Q. Dai, C. Barsi , R. Raskar, “Robust and accurate transient light transport decomposition via convolutional sparse coding,” Optics Letters, Vol. 39, No. 11, pp. 3177-3180, 2014

[4] J. Suo, L. Bian, F. Chen, Q. Dai, “Bispectral Coding: Compressive and High Quality Acquisition of Fluorescence and Reflectance,” Optics Express, Vol. 22, No. 2, pp. 1697-1712, 2014

[5] F. Shao, W. Lin, G. Jiang, Y. Mei, Q. Dai. “Depth map coding for view synthesis based on distortion analyses,” IEEE Journal on Emerging and Selected Topics in Circuits and Systems, Vol. 4, No. 1, pp. 106-117, 2014

[6] Wu, A. Velten, M. O’Toole, B. Masia, A. Agrawal, Q. Dai, R. Ramesh, “Decomposing Global Light Transport Using Time of Flight Imaging,” International Journal of Computer Vision, Vol. 107,No. 2, pp. 123-138, 2014

[7] Wu, G. Wetzstein, C. Barsi, T. Willwacher, Q. Dai, R. Raskar, “Ultra-fast lensless computational imaging through 5D frequency analysis of time-resolved light transport,” International Journal of Computer Vision, pp. 1-13, 2013

[8] Y. Liu, J. Gall, C. Stoll, Q. Dai, H. Seidel, C. Theobalt, “Markerless Motion Capture of Multiple Characters Using Multiview Image Segmentation,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 35, No. 11, pp. 2720-35, 2013(spotlight paper)

[9] Y. Deng, Q. Dai, R. Liu, Z. Zhang, S. Hu, “Low-Rank Structure Learning via Nonconvex Heuristic Recovery,” IEEE Transactions on Neural Networks and Learning Systems, Vol. 24, No. 3, pp. 383-396, 2013(spotlight paper)

[10] Y. Wang, J. Min, J. Zhang, Y. Liu, F. Xu, Q. Dai, J. Chai, “Video-based hand manipulation capture through composite motion control,” ACM Transactions on Graphics, Vol. 32, No. 4, pp. 43, 2013

[11] C. Ma, X. Cao, X. Tong, Q. Dai, S. Lin, “Acquisition of High Spatial and Spectral Resolution Video with a Hybrid Camera System,” International Journal of Computer Vision, pp. 1-15, 2013

[12] J. Suo, X. Chen, S. Shan, W. Gao, Q. Dai, “A Concatenational Graph Evolution Aging Model,” IEEE Transactions on Pattern Analysis And Machine Intelligence, Vol. 34 , No. 11, pp. 2083-2096, 2012

[13] Xu, Y. Liu, C. Stoll, J. Tompkin, G. Bharaj, Q. Dai, H. Seidel, J. Kautz, C. Theobalt, “Video-based Characters –Creating New Human Performances from a Multi-view Video Database,” ACM Transactions on Graphics, Vol. 30, No. 4, pp. 32, 2011

[14] X. Cao, H. Du, X. Tong, Q. Dai , S. Lin, “A Prism-Mask System for Multispectral Video Acquisition,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 33, No. 12, pp. 2423-2435, 2011

[15] X. Cao, A. Bovik, Y. Wang, Q. Dai, “Converting 2D video to 3D: An Efficient Path to a 3D Experience,” IEEE Multimedia, Vol. 18, No. 4, pp.12-17, 2011 (Spotlight Paper)

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