Research
I'm interested in computer vision, machine learning and deep learning. My current research focuses on discovering and grouping image sources in the wild. I am also looking into scenarios of sparse annotations and understanding concepts learnt by networks.
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Towards Discovery and Attribution of Open-world GAN Generated Images
Saksham Suri*,
Sharath Girish*,
Saketh Rambhatla,
Abhinav Shrivastava
Under Submission, 2020
Proposed an iterative algorithm for discovering images generated from GANs in an open world setup. Also show applications in an online never ending discovery.
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Improving Face Recognition Performance using TeCS2 Dictionary
Saksham Suri,
Anush Sankaran,
Mayank Vatsa,
Richa Singh
Pattern Recognition Letters, 2020
Paper
Incorporating task agnostic color, shape, texture and symmetry attributes to task specific deep learning classifiers for face recognition.
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An Interpretable Generative Model for Handwritten Digits Synthesis
Yao Zhu,
Saksham Suri,
Pranav Kulkarni, Yueru Chen,
Jiali Duan,
C. -C. Jay Kuo
International Conference on Image Processing (ICIP) , 2019
Paper
Propose a non deep learning based approach to handwritten digit synthesis which is more interpretable and does not require back-propogation.
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Angel or Demon? Characterizing Variations Across Twitter Timeline of Technical Support Campaigners
S. Gupta,
G. S. Bhatia,
Saksham Suri,
D. Kuchhal,
P. Gupta,
M. Ahamad,
M. Gupta,
P. Kumaraguru
The Journal of Web Science Vol.6 , 2019
Paper
Analyzing and identifying the presence of fake tech support accounts on twitter.
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System and Method for Contextual Augmentation of Images For New Fashion Design
Saksham Suri,
Jassimran Kaur,
Anush Sankaran,
Srikanth Tamilselvam,
Senthil Mani,
Utkarsh Desai
Under Internal review at IBM India Research Labs, 2019
A common sense based image synthesis for fashion scenarios to create diverse yet plausible images in terms of the fashion style.
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On matching faces with alterations due to plastic surgery and disguise
Saksham Suri,
Anush Sankaran,
Mayank Vatsa,
Richa Singh
IEEE International Conference on Biometrics Theory, Applications and Systems (BTAS) , 2018
Paper
A novel approach to perform face recognition in the presence of plastic surgery and disguise.
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