Short Bio

I am a Research Assistant at MIT working with Fredo Durand. Before this, I completed my Master's from Harvard University where my thesis was co-supervised by Hanspeter Pfister and Fredo Durand. My work focusses on computer vision, graphics and perception. Before this, I completed my bachelors and master's from IIT Delhi. This summer, I will be interning at Microsoft Research.

Publications

Computer Vision

  • Synthetically trained icon proposals for parsing and summarizing infographics. [in submission]
    Madan, S.*, Bylinskii, Z.*, Tancik,M.*, Zhong, K., Recasens, A.,Alsheikh, S., Pfister, H., Durand, F., 2018.
  • Understanding Infographics through Textual and Visual Tag Prediction. [Link]
    Madan, S.*, Bylinskii, Z.*, Alsheikh, S.*, Recasens, A.*, Zhong, K., Pfister, H., Durand, F. and Oliva, A., 2017.
  • Effects of title wording on memory of trends in line graphs Accepted, VSS' 18.
    Newman, A.P., Bylinskii, Z., Haroz, S., Madan, S., Durand, F., Oliva, A., 2017.
  • Learning Visual Importance for Graphic Designs and Data Visualizations. [Link]
    Zoya Bylinskii, Nam Wook Kim, Peter O'Donovan, Sami Alsheikh,Madan, S., Hanspeter Pfister, Fredo Durand, Bryan Russell, Aaron Hertzmann.

Machine Learning in Biology

  • An ensemble micro neural network approach for elucidating interactions between zinc finger proteins and their target DNA. BMC Genomics, 17(13), 97 (2016). [Link]
    Shayoni Dutta , Spandan Madan, Harsh Parikh, Durai Sundar.
  • Exploiting the recognition code for elucidating the mechanism of zinc finger protein-DNA interactions. BMC Genomics, 17(13), 109. (2016). [Link]
    Shayoni Dutta , Spandan Madan, Durai Sundar.

Invited Talks

  • U.C. Berkeley vision seminar.

  • MIT graphics seminar.

  • Harvard Business School - machine learning for managers[Link]
  • HackMIT - AI v/s Deep Learning v/s Machine Learning.
  • MIT Blueprints - an introduction to computer vision.[Link]

Reviewing Experience

  • One paper for TPAMI
  • Two papers for CVPR'18