Vivek B. S.

Orcid: 0000-0003-1933-9920

According to our database1, Vivek B. S. authored at least 14 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Location-aware Fashion Attribute Recognition and Retrieval.
Proceedings of the International Joint Conference on Neural Networks, 2024

Prototype-based Interpretable Model for Glaucoma Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Personalized Outfit Compatibility Prediction Using Outfit Graph Network.
Proceedings of the International Joint Conference on Neural Networks, 2023

2022
Low-level Bias discovery and Mitigation for Image Classification.
Proceedings of the IEEE International Conference on Signal Processing and Communications, 2022

EdgeNet for efficient scene graph classification.
Proceedings of the International Joint Conference on Neural Networks, 2022

ST-GNN for EEG Motor Imagery Classification.
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022

2021
Multi-task learning based approach for surgical video desmoking.
Proceedings of the ICVGIP '21: Indian Conference on Computer Vision, Graphics and Image Processing, Jodhpur, India, December 19, 2021

2020
Regularizers for Single-step Adversarial Training.
CoRR, 2020

Plug-And-Pipeline: Efficient Regularization for Single-Step Adversarial Training.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Single-Step Adversarial Training With Dropout Scheduling.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
FDA: Feature Disruptive Attack.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Regularizer to Mitigate Gradient Masking Effect During Single-Step Adversarial Training.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
Gray-Box Adversarial Training.
Proceedings of the Computer Vision - ECCV 2018, 2018


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