Vivek B. S.

According to our database, Vivek B. S. authored at least 16 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

ProtoPatchNet: An Interpretable Patch-Based Prototypical Network.

Mohana Singh, Vivek B. S., Jayavardhana Gubbi, R. Venkatesh Babu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

2024

Location-aware Fashion Attribute Recognition and Retrieval.

Gaurab Bhattacharya, Vivek B. S., P. Rajith Bhargav, Jayavardhana Gubbi, Bagya Lakshmi V, Arpan Pal

Proceedings of the International Joint Conference on Neural Networks, 2024

Prototype-based Interpretable Model for Glaucoma Detection.

Mohana Singh, Vivek B. S., Jayavardhana Gubbi, Arpan Pal

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Decentralized Inter-Hospital Motor Imagery Detection using Robust Multiparty Model Aggregation.

Delton Myalil Antony, Imtiyazuddin Shaik, Vivek B. S., Rajan MA, Jayavardhana Gubbi, Sachin Lodha

Proceedings of the 8th International Conference on Data Science and Management of Data (12th ACM IKDD CODS and 30th COMAD), 2024

2023

Personalized Outfit Compatibility Prediction Using Outfit Graph Network.

Vivek B. S., Gaurab Bhattacharya, Jayavardhana Gubbi, Bagya Lakshmi V, Arpan Pal, P. Balamuralidhar

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Low-level Bias discovery and Mitigation for Image Classification.

Vartika Sengar, Vivek B. S., Gaurab Bhattacharya, Jayavardhana Gubbi, Arpan Pal, P. Balamuralidhar

Proceedings of the IEEE International Conference on Signal Processing and Communications, 2022

EdgeNet for efficient scene graph classification.

Vivek B. S., Jayavardhana Gubbi, M. A. Rajan, P. Balamuralidhar, Arpan Pal

Proceedings of the International Joint Conference on Neural Networks, 2022

ST-GNN for EEG Motor Imagery Classification.

Vivek B. S., Adarsh A, Jay Gubbi, Kartik Muralidharan, Ramesh Kumar Ramakrishnan, Arpan Pal

Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022

2021

Multi-task learning based approach for surgical video desmoking.

Vartika Sengar, Vivek B. S., Karthik Seemakurthy, Jayavardhana Gubbi, Balamuralidhar P

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.

Vivek B. S., R. Venkatesh Babu

CoRR, 2020

Plug-And-Pipeline: Efficient Regularization for Single-Step Adversarial Training.

Vivek B. S., Ambareesh Revanur, Naveen Venkat, R. Venkatesh Babu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Single-Step Adversarial Training With Dropout Scheduling.

Vivek B. S., R. Venkatesh Babu

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.

Sravanti Addepalli, Vivek B. S., Arya Baburaj, Gaurang Sriramanan, R. Venkatesh Babu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

FDA: Feature Disruptive Attack.

Aditya Ganeshan, Vivek B. S., Venkatesh Babu Radhakrishnan

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Regularizer to Mitigate Gradient Masking Effect During Single-Step Adversarial Training.

Vivek B. S., Arya Baburaj, R. Venkatesh Babu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Gray-Box Adversarial Training.

Vivek B. S., Konda Reddy Mopuri, R. Venkatesh Babu

Proceedings of the Computer Vision - ECCV 2018, 2018