Shirsendu Sukanta Halder

About Shirsendu Sukanta Halder

Shirsendu Sukanta Halder, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at Carnegie Mellon University, specializes in the field of Computer Vision, Machine Learning, Computational Imaging.

His recent articles reflect a diverse array of research interests and contributions to the field:

Rain rendering for evaluating and improving robustness to bad weather

MA3: Model agnostic adversarial augmentation for few shot learning

Enhancing perceptual loss with adversarial feature matching for super-resolution

Shirsendu Sukanta Halder Information

University

Position

___

Citations(all)

327

Citations(since 2020)

326

Cited By

42

hIndex(all)

5

hIndex(since 2020)

5

i10Index(all)

4

i10Index(since 2020)

4

Email

University Profile Page

Google Scholar

Shirsendu Sukanta Halder Skills & Research Interests

Computer Vision

Machine Learning

Computational Imaging

Top articles of Shirsendu Sukanta Halder

Title

Journal

Author(s)

Publication Date

Rain rendering for evaluating and improving robustness to bad weather

International Journal of Computer Vision

Maxime Tremblay

Shirsendu Sukanta Halder

Raoul De Charette

Jean-François Lalonde

2021/2

MA3: Model agnostic adversarial augmentation for few shot learning

Rohit Jena

Shirsendu Sukanta Halder

Katia Sycara

2020

Enhancing perceptual loss with adversarial feature matching for super-resolution

Akella Ravi Tej

Shirsendu Sukanta Halder

Arunav Pratap Shandeelya

Vinod Pankajakshan

2020/7/19

See List of Professors in Shirsendu Sukanta Halder University(Carnegie Mellon University)

Co-Authors

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