Jue Wang

Computer Graphics and Vision Researcher

Education

  • Ph.D, Electrical Engineering, University of Washington, Seattle, WA, October 2007.
        - Thesis: Foreground Segmentation in Images and Video: Methods, Systems and Applications.
  • M.S. in Electrical Engineering, Tsinghua University, Beijing, China. January 2003. (with honor)
  • B.E. in Automation, Tsinghua University, Beijing, China. July 2000. (with honor)

Research Interests

Computational photography, Image and video processing, advanced computer vision and graphics techniques for better visual experience and user interface.

Professional Experience

  • Principal Scientist, Adobe Research, Seattle, 11/2013~present.
  • Senior Researcher, Creative Technologies Lab, Adobe Systems, Seattle, 2/2010 ~ 10/2013.
  • Researcher, Creative Technologies Lab, Adobe Systems, Seattle, 11/2007 ~ 1/2010.
  • Research Assistant,  University of Washington, Seattle, 10/2003 ~ 10/2007
  •  Research Intern at Microsoft Research, Redmond, Summer 2004, 2005, 2006
  • Research Intern at Microsoft Research Asia, 07/2002 ~ 09/2003
  • Research Assistant at State Key Laboratory of Intelligent Technique and Systems, Tsinghua University, Beijing, China. 09/2000 ~ 12/2002

Professional Activities

  • Associate Editor:
  •  The Visual Computer (08-13)
  • International Journal of Computer Games Technology (12-15)
  • Conference Co-Chair:
  • ICME 2016, ICCP 2012
  • Program Committee:
  • ACM UIST 2014, 16, Pacific Graphics 2013-16, 14, EGSR 2013, CVM 2013-16, CAD/Graphics 2013
  • Invited Speech:
  • Senior member of IEEE and ACM.
  •  

    Honors

    • Haitian Scholars, Dalian University of Technology, 2016
    • Distinguished Inventor, Adobe, 2013
    • Microsoft Research Fellowship, 2006-2007
    • Yang Research Award, Department of Electrical Engineering, University of Washington, 2006
    • Chair’s Award, Department of Electrical Engineering, University of Washington, 2006
    • Nominated for Outstanding Research Assistant, EE department, Univ. Washington, 2003, 2004
    • Outstanding Master Thesis Award, Tsinghua University, 2003
    • Tsinghua-Rockwell Automation Scholarship, 2002
    • Tsinghua University Outstanding Graduate Student Scholarship, 2001
    • Tsinghua University Excellent Student Scholarship. 1996-2000
    • First-rank prize in China National High School Physics Competition, 1995

    Issued Patents

    1. Automatic Adjustment of Images using a Homography. US Patent  9,582,855, 2017.
    2. Automatic Estimation of Blur Size From a Single Blurred Photograph. US Patent 9,576,220, 2017.
    3. Flexible Video Object Boundary Tracking. US Patent 9,569,866, 2017.
    4. Camera Calibration and Automatic Adjustment of Images. US Patent  9,519,954, 2016.
    5. Dehazing Photos and Videos using Visual Artifact Suppression. US Patent  9,508,129, 2016.
    6. Image Haze Removal using Fast Constrained Transmission Estimation. US Patent   9,508,126, 2016.
    7. Using Multiple Blur Kernels for Removing Spatially-Varying Blur from Photographs. US Patent 9,466,096, 2016.  
    8. Identifying and Modifiying Cast Shadows in an Image.  US Patent No. 9,430,715, 2016.
    9. Image Deblur with Light Streaks. US patent 9,392,173, 2016. 
    10. Robust Line Fitting for Text Line Detection in Natural Images. US patent  9,367,766, 2016.
    11. Automatically suggesting regions for blur kernel estimation. US patent, 9,349,165, 2016.
    12. De-noising image content using directional filters for image deblurring. US patent, 9,349,164, 2016.
    13. Discriminative indexing for patch-based image enhancement. US patent 9,342,869, 2016.
    14. Multi-feature image haze removal. US patent 9,305,339, 2016.
    15. Automatically determining the size of a blur kernel. US patent 9,299,132, 2016.
    16. Simulating tracking shots from image sequences. US patent 9,253,415, 2016.
    17. System and Method for Creating Lens Models to Reduce Image Blur. US patent   9,235,063, 2016.
    18. Joint video deblurring and stabilization. US patent 9,224,194, 2015.
    19. Using Multiple Blur Kernels for Removing Spatially-Varying Blur from Photographs. US patent 9,208,543, 2015.
    20. Camera Calibration and Automatic Adjustment of Images. US patent 9,098,885, 2015.
    21. Text Detection in Natural Images. US patent 9,076,056, 2015.
    22. Edge Direction and Curve Based Image De-Blurring. US patent   9,076,205, 2015.
    23. Multi-scale image deblurring method. US patent  9,042,672, 2015.
    24. Automatic Adjustment of Images using a Homography. US patent  9,008,460, 2015.
    25. US patent 8,971,584, 2015.
    26. Robust Video Stabilization: Partitioning a Video Sequence for Processing. US patent  8,929,610, 2015.
    27. Methods and apparatus for face fitting and editing applications. US patent 8,923,392, 2014.
    28. Data-driven Edge-based Image De-Blurring. US patent  8,897,588, 2014. 
    29. Adaptive Trimap Propagation for Video Matting. US patent  8,897,562, 2014.
    30. Methods and Apparatus for Subspace Video Stabilization. US patent  8,885,880, 2014.
    31. Methods and Apparatus for Subspace Video Stabilization. US patent  8,872,928, 2014.
    32. De-Noising Image Content Using Directional Filters for Image De-Blurring. US patent 8,867,856, 2014.
    33. Methods and Apparatus for Facial Feature Replacement. US patent 8,818,131, 2014.
    34. Temporal Matte Filter for Video Matting. US patent  8,792,718, 2014.
    35. Methods and Apparatus for Robust Video Stabilization.  US patent 8,724,854 . 2014.
    36. Motion Deblurring for Text Images. US patent 8,705,881. 2014.
    37. Methods and Apparatus for Dynamic Color Flow Modeling. US patent  8,682,063, 2014.
    38. Methods and Apparatus for Robust Video Stabilization. US patent  8,675,918, 2014.
    39. Robust Video Stabilization. US patent  8,611,602, 2013.
    40. Edge-based approach for interactive image editing. US patent 8,565,532, 2013.
    41. Methods and Apparatus for De-blurring Images Using Lucky Frames . US patent 8,532,421, 2013.
    42. Methods and Apparatus for Chatter Reduction in Video Object Segmentation. US patent 8,520,975, 2013.
    43. Methods and Apparatus for Facial Feature Replacement . US patent 8,457,442, 2013.
    44. Automatic video image segmentation. US patent 8,422,775, 2013.
    45. Removing Motion Blur from Unaligned Multiple Blurred Images. US patent 8,411,980, 2013.
    46. Automatic Generation of Skin Tone Mask for Content Preserving. US patent  8,406,482, 2013.
    47. Method and apparatus for generating variable-width border masks. US patent 8,391,594, 2013. 
    48. Methods and Apparatus for Chatter Reduction in Video Object Segmentation Using a Variable Bandwidth Search Region. US patent  8,358,691, 2013.
    49. System and method for interactive image-noise separation. US patent  8,374,457, 2013.
    50. Selecting and Applying a Color Range in an Image Mask. US patent   8,385,634, 2013.
    51. Color Decontamination for Image Compositing. US patent  8,379,972, 2013.
    52. Method and Apparatus for Generating Variable-Width Border Masks. US patent 8,391,594, 2013.
    53. Location-weighted color masking. US patent  8,340,406, 2012.
    54. Seam-Based Reduction and Expansion of Images With Color-Weighted Priority. US patent 8,290,300, 2012.
    55. Method and Apparatus for Applying Gaussian Mixture Models to Local Image Patches Using an Adaptive Color Lookup Table. US patent 8,290,253, 2012..
    56. Automatic Video Image Segmentation. US Patent 8,175,379, 2012.
    57. A Discriminative Matting algorithm for creating accurate and soft foreground mask in complex images. US Patent 8,175,384, 2012.
    58. System and method for eye-tracking and blink detection. US Patent 7,676,063, 2010.
    59. A system and method for very low frame rate teleconferencing employing image cropping and morphing. US Patent 7,659,920, 2010.
    60. Automated face enhancement. US Patent 7,634,108, 2009.
    61. A system and method for very low frame rate video streaming for face-to-face video conferencing. US Patent 7,583,287, 2009.
    62. Stylization of video. US Patent 7,450,758, 2008.
    63. System and method for image and video segmentation by anisotropic kernel mean shift. US Patent 7,397,948, 2008.
    64. Learning-based system and process for synthesizing cursive handwriting. US Patent 7,227,993, 2007.

    Interns Mentored

    1. Zhaopeng Cui, Simon Fraser University, 2016 
    2. Xin Tao, the Chinese University of Hong Kong, 2016
    3. Qingkun Su,  Hong Kong University of Science and Technology, 2016
    4. Shuochen Su, University of British Columbia, 2016
    5. Lei Xiao, University of British Columbia, 2015
    6. Huiwen Chang, Princeton University, 2015
    7. Chen Chen, UIUC, 2015
    8. Jiangtao Gong, Tsinghua University, 2015
    9. Yao Lu, University of Washington, 2014.
    10. Liqian Ma, Tsinghua University, 2014
    11. Yan Wang, Columbia University, 2013, 2014
    12. Shuaicheng Liu, National University of Singapore, 2013
    13. Zhe Hu, UC Merced, 2013
    14. Dun-Yu Hsiao, University of Washington, 2013
    15. Ketan Tang, Hong Kong University of Science and Technology, 2013
    16. Geoffery/Libin Sun, Brown University, 2012
    17. Yiming Liu, Princeton University, 2012
    18. Lin Zhong, Rutgers University, 2012
    19. HyunJoon Lee, POSTECH, 2012
    20. Fei Yang, Rutgers University, 2010, 2011
    21. Hojin Cho, POSTECH, 2011
    22. Eric Kee, Dartmouth College, 2010
    23. Sunghyun Cho, POSTECH, 2010
    24. Shulin Yang, University of Washington, 2010
    25. Joseph Lim, MIT, 2010
    26. Suporn Pongnumkul, University of Washington, 2008, 2009
    27. Jia Chen, The Hong Kong University of Science and Technology, 2009
    28. Jiawen Chen, MIT, 2009
    29. Feng Liu, University of Wisconsin, 2009
    30. Xue Bai, University of Minnesota, 2008, 2009