G.S. (Guru Swaroop) Bennabhaktula, MSc

Postdoctoral researcher

Faculty of Science and Engineering

Telephone:

E-mail:

g.s.bennabhaktula rug.nl

ORCID Research Portal

Publications

PushPull-Net: Inhibition-Driven ResNet Robust to Image Corruptions

Bennabhaktula, G. S., Alegre, E., Strisciuglio, N. & Azzopardi, G., 2025, Pattern Recognition - 27th International Conference, ICPR 2024, Proceedings. Antonacopoulos, A., Chaudhuri, S., Chellappa, R., Liu, C.-L., Bhattacharya, S. & Pal, U. (eds.). Springer, p. 391-408 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15308 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

PushPull-Net: Inhibition-driven ResNet robust to image corruptions

Bennabhaktula, G. S., Alegre, E., Strisciuglio, N. & Azzopardi, G., 7-Aug-2024, (Submitted) Kolkata: arXiv, 17 p.

Research output: Working paper › Preprint › Academic

Leveraging image noise: source camera identification and increased robustness of convolutional neural networks

Bennabhaktula, G. S., 2023, [Groningen]: University of Groningen. 172 p.

Research output: Thesis › Thesis fully internal (DIV)

Camera model identification based on forensic traces extracted from homogeneous patches

Bennabhaktula, G. S., Alegre, E., Karastoyanova, D. & Azzopardi, G., 15-Nov-2022, In: Expert systems with applications. 206, 11 p., 117769.

Research output: Contribution to journal › Article › Academic › peer-review

Source Camera Device Identification from Videos

Bennabhaktula, G. S., Timmerman, D., Alegre, E. & Azzopardi, G., 4-Jun-2022, In: SN Computer Science. 3, 4, 15 p., 316.

Research output: Contribution to journal › Article › Academic › peer-review

On Improving Generalization of CNN-Based Image Classification with Delineation Maps Using the CORF Push-Pull Inhibition Operator

Bennabhaktula, S., Antonisse, J. & Azzopardi, G., 31-Oct-2021, Computer Analysis of Images and Patterns: CAIP 2021. Tsapatsoulis, N., Panayides, A., Theocharides, T., Lanitis, A., Pattichis, C. & Vento, M. (eds.). Cham: Springer, Vol. Part 1. p. 434-444 11 p. (Lecture Notes in Computer Science; vol. 13052).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Video Camera Identification from Sensor Pattern Noise with a Constrained ConvNet

Timmerman, D., Bennabhaktula, S., Alegre, E. & Azzopardi, G., 2021, Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods - ICPRAM. De Marsico, M., Sanniti di Baja, G. & Fred, A. (eds.). SciTePress, p. 417-425 9 p.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Device-based image matching with similarity learning by convolutional neural networks that exploit the underlying camera sensor pattern noise

Bennabhaktula, S., Alegre, E., Karastoyanova, D. & Azzopardi, G., 2020, Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods ICPRAM . De Marsico, M., Sanniti di Baja , G. & Fred , A. (eds.). SciTePress, p. 578-584 7 p.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

All (8) publications

Press/media

Voordrachten Ben Feringa Impact Award bekend

Azzopardi, G. & Bennabhaktula, G. S.

24/01/2023

Press/Media: Expert Comment › Popular

All (1) press/media

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