Tatsunori TANIAI
谷合 竜典

Phone: +81-3-5452-6461
Email: taniai [at] iis.u-tokyo.ac.jp
CurriculumVitae   DBLP   GoogleScholar   GitHub

I am a Ph.D. candidate who studies computer vision at the University of Tokyo and also serves as research fellows at JSPS and MSRA. I am interested in low and mid-level computer vision including 3D reconstruction (both geometric and photometric approaches), stereo vision, MRF optimization, descrete optimization using graph cuts, and segmentation.


Education

2017 - Ph.D. degree from the University of Tokyo

Specialization: Information Science and Technology
Supervisors: Prof. Yoichi Sato & Prof. Yasuyuki Matsushita (Osaka Univ.)

2014 - M.Sc. degree from the University of Tokyo

Specialization: Information Science and Technology
Supervisors: Prof. Takeshi Naemura & Dr. Yasuyuki Matsushita (MSR Asia)


Research
projects
 

Continuous Stereo Matching using Local Expansion Moves

Tatsunori Taniai, Yasuyuki Matsushita, Yoichi Sato, Takeshi Naemura.
Technical Report (arXiv 2016)
[Preprint] [Project]

 

Joint Recovery of Dense Correspondence and Cosegmentation in Two Images

Tatsunori Taniai, Sudipta N. Sinha, Yoichi Sato.
CVPR 2016
[Preprint] [Preprint (extended)] [Project] [Demo]

 

Superdifferential Cuts for Binary Energies

Tatsunori Taniai, Yasuyuki Matsushita, Takeshi Naemura.
CVPR 2015
[Preprint] [ExtAbst] [Poster] [Project] [Code]

 

Graph Cut based Continuous Stereo Matching using Locally Shared Labels

Tatsunori Taniai, Yasuyuki Matsushita, Takeshi Naemura.
CVPR 2014
[Preprint] [Poster] [Project]

 

Image Segmentation using Dual Distribution Matching

Tatsunori Taniai, Viet-Quoc Pham, Keita Takahashi, Takeshi Naemura.
BMVC 2012 Oral
[Preprint] [Supp] [ExtAbst] [Slides] [VideoLecuture] [Project]



Research interests

3D Reconstruction

  • Accurate stereo vision that estimates dense per-pixel 3D planes (e.g. CVPR 2014)
  • A fusion approach of multiview stereo and photometric stereo.

MRF Optimization

  • Apply graph cuts to optimization of MRFs with higher-order clieques for image segmentation (e.g. CVPR 2015, BMVC 2012)
  • Efficient inference of MRFs with a very large or continuous label space (e.g. CVPR 2014)
Experience

Service to Community

  • Conference Reviewer: 3DV 2014
  • Journal Reviewer: IEEE TIP 2015, IMAVIS 2016, IEICE TIS 2016

Research Internships

  • Microsoft Research (June - Sep. 2015 at Redmond, US)
    Twelve weeks of research internship supevised by Dr. Sudipta Sinha.
    Part of the internship achievements has been published as a CVPR 2016 paper.

  • Microsoft Research Asia (Dec. 2012 - Apr. 2013 at Beijing, China)
    Four months of research internship supevised by Dr. Yasuyuki Matsushita.
    Part of the internship achievements has been published as a CVPR 2014 paper.

Awards/
honours
  • Dean's Award for Best Doctoral Thesis / 東京大学 情報理工学系研究科長賞(博士)
    from Graduate School of Information Science and Technology, the University of Tokyo (2017)

  • Microsoft Research Asia Fellowship 2015 (10,000 USD)
    from Microsoft Research Asia for 13 PhD studens studying CS in Asia. (2015-2017).

  • JSPS Young Research Fellowship / 学振 特別研究員 (DC1)
    from Japan Society for the Promotion of Science (2014-2017).

  • JASSO Scholarship for Top 10% Excellent Master Students (2112,000 JPY)
    / 日本学生支援機構 奨学金 全額返済免除 (211.2万円)
    from Japan Student Services Organization (2014)

  • Dean's Award for Best Master Thesis / 東京大学 情報理工学系研究科長賞(修士)
    from Graduate School of Information Science and Technology, the University of Tokyo (2014)

  • Dean's Award for Best Bachelor Thesis / 東京大学 工学部長賞
    from Faculty of Engineering, the University of Tokyo (2012)

Skills
  • 10+ years of programming experiences in C++, C#, Java
  • Visual computing using OpenCV and MATLAB
  • GPGPU computing using OpenCL and CUDA
  • Academic literacy & conversation skills in English (TOEIC 930 in May 2011)


Pubilcations

Journal Papers

  • 谷合竜典, ファン・ヴェト・クォク, 高橋桂太, 苗村健.
    前景・背景色分布の同時マッチングによる画像セグメンテーション.
    電子情報通信学会和文論文誌D, 画像の認識・理解特集号, vol. J96-D, no. 8, pp. 1764--1777, 2013. (an extended version of our BMVC 2012's paper)

International Conference Papers

  • Tatsunori Taniai, Sudipta N. Sinha, Yoichi Sato.
    Joint Recovery of Dense Correspondence and Cosegmentation in Two Images.
    In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), Las Vegas, NV, US, 2016. (acceptance rate 30%)
    [Preprint] [Preprint (extended)] [Project]

  • Tatsunori Taniai, Yasuyuki Matsushita, Takeshi Naemura.
    Superdifferential Cuts for Binary Energies.
    In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015), pp.2030--2038, Boston, MA, US, 2015. (acceptance rate 28%)
    [Preprint] [ExtAbst] [Project]

  • Tatsunori Taniai, Yasuyuki Matsushita, Takeshi Naemura.
    Graph Cut based Continuous Stereo Matching using Locally Shared Labels.
    In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2014), pp.1613--1620, Columbus, OH, US, 2014. (acceptance rate 30%)
    [Preprint] [Poster] [Project]

  • Tatsunori Taniai, Viet-Quoc Pham, Keita Takahashi, Takeshi Naemura.
    Image Segmentation using Dual Distribution Matching.
    In Proceedings of the 23rd British Machine Vision Conference (BMVC 2012), pp. 74.1--74.11, Surrey, UK, 2012. (oral presentation; acceptance rate 8%)
    [Preprint] [Supp] [ExtAbst] [Slides] [VideoLecuture] [Project]

Invited Talks

  • Tatsunori Taniai.
    Joint Recovery of Dense Correspondence and Cosegmentation in Two Images.
    The Workshop on Vision, Learning, and Cognition in Microsoft Research Asia Ph.D. Forum 2016, Microsoft office, Beijing, China, September 20th, 2016.

  • Tatsunori Taniai, Sudipta N. Sinha, Yoichi Sato.
    Joint Recovery of Dense Correspondence and Cosegmentation in Two Images (CVPR 2016).
    The 19th Meeting on Image Recognition and Understanding (MIRU 2016), IS2-15, Shizuoka, Japan, August 4th, 2016.

  • Tatsunori Taniai.
    Solving Segmentation and Dense Correspondence Problems using Graph Cuts
    (画像領域・対応点推定問題へのグラフカットの適用)
    .
    The 1st CREST Symposium on Random Fields and Deep Learning , Waseda Univ., Tokyo, Japan, January 13th, 2016. (Organizers: Prof. Hiroshi Ishikawa & Prof. Takayuki Okatani)
    [Slides]

  • Tatsunori Taniai, Yasuyuki Matsushita, Takeshi Naemura.
    Superdifferential Cuts for Binary Energies (CVPR 2015).
    The 18th Meeting on Image Recognition and Understanding (MIRU 2015), IS1-10, Osaka, Japan, July 28th, 2015.

  • Tatsunori Taniai, Yasuyuki Matsushita, Takeshi Naemura.
    Graph Cut based Continuous Stereo Matching using Locally Shared Labels (CVPR 2014).
    The 17th Meeting on Image Recognition and Understanding (MIRU 2014), IT1-1, Okayama, Japan, July 29th, 2014.

Domestic Conference Papers

  • 谷合竜典, 苗村健.
    画素位置を埋め込んだ双色分布マッチングによる画像セグメンテーション.
    画像の認識・理解シンポジウム (MIRU2013)予稿集, SS3-31, 東京, 2013.

  • 谷合竜典, ファン・ヴェト・クォク, 高橋桂太, 苗村健.
    前景および背景色分布の同時マッチングによる画像セグメンテーション.
    画像の認識・理解シンポジウム (MIRU2012)予稿集, OS14-02, 福岡, 2012.


Thesis

  • Tatsunori Taniai.
    Applying Graph Cuts to MAP Estimation of Continuous and Higher-Order Markov Random Fields
    Master's Thesis. March 2014. The University of Tokyo. Adviser: Takeshi NAEMURA.
    [PDF]

  • Tatsunori Taniai.
    前景・背景の大域的な色分布の同時マッチングによる画像セグメンテーション
    (Foreground Background Image Segmentation using Dual Distribution Matching)
    Bachelor's Thesis. March 2012. The University of Tokyo. Adviser: Takeshi NAEMURA.
    [PDF] [Note]

Links