Arjun Pankajakshan

According to our database, Arjun Pankajakshan authored at least 9 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Enhancing Generalization in Audio Deepfake Detection: A Neural Collapse based Sampling and Training Approach.

Mohammed Yousif, Jonat John Mathew, Huzaifa Pallan, Agamjeet Singh Padda, Syed Daniyal Shah, Sara Adamski, Madhu Reddiboina, Arjun Pankajakshan

CoRR, 2024

Towards the Development of a Real-Time Deepfake Audio Detection System in Communication Platforms.

Jonat John Mathew, Rakin Ahsan, Sae Furukawa, Jagdish Gautham Krishna Kumar, Huzaifa Pallan, Agamjeet Singh Padda, Sara Adamski, Madhu Reddiboina, Arjun Pankajakshan

CoRR, 2024

2020

Memory Controlled Sequential Self Attention for Sound Recognition.

Arjun Pankajakshan, Helen L. Bear, Vinod Subramanian, Emmanouil Benetos

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

A Study on the Transferability of Adversarial Attacks in Sound Event Classification.

Vinod Subramanian, Arjun Pankajakshan, Emmanouil Benetos, Ning Xu, SKoT McDonald, Mark B. Sandler

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Polyphonic Sound Event and Sound Activity Detection: A Multi-Task Approach.

Arjun Pankajakshan, Helen L. Bear, Emmanouil Benetos

Proceedings of the 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2019

Audio Tagging using Linear Noise Modelling Layer.

Shubhr Singh, Arjun Pankajakshan, Emmanouil Benetos

Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events 2019 (DCASE 2019), 2019

Onsets, Activity, and Events: A Multi-task Approach for Polyphonic Sound Event Modelling.

Arjun Pankajakshan, Helen L. Bear, Emmanouil Benetos

Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events 2019 (DCASE 2019), 2019

2018

All-Conv Net for Bird Activity Detection: Significance of Learned Pooling.

Arjun Pankajakshan, Anshul Thakur, Daksh Thapar, Padmanabhan Rajan, Aditya Nigam

Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

Faster RCNN-CNN-Based Joint Model for Bird Part Localization in Images.

Arjun Pankajakshan, Arnav Bhavsar

Proceedings of 3rd International Conference on Computer Vision and Image Processing - CVIP 2018, Jabalpur, India, September 29, 2018