Faster RCNN-CNN-Based Joint Model for Bird Part Localization in Images. - Arjun Pankajakshan; Arnav Bhavsar (CVIP (2), 2018)

All-Conv Net for Bird Activity Detection: Significance of Learned Pooling. - Arjun Pankajakshan; Anshul Thakur; Daksh Thapar; Padmanabhan Rajan; Aditya Nigam (INTERSPEECH, 2018)

Onsets, Activity, and Events: A Multi-task Approach for Polyphonic Sound Event Modelling. - Arjun Pankajakshan; Helen L. Bear; Emmanouil Benetos (DCASE, 2019)

Audio Tagging using Linear Noise Modelling Layer. - Shubhr Singh; Arjun Pankajakshan; Emmanouil Benetos (DCASE, 2019)

Polyphonic Sound Event and Sound Activity Detection: A Multi-Task Approach. - Arjun Pankajakshan; Helen L. Bear; Emmanouil Benetos (WASPAA, 2019)

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 (ICASSP, 2020)

Memory Controlled Sequential Self Attention for Sound Recognition. - Arjun Pankajakshan; Helen L. Bear; Vinod Subramanian; Emmanouil Benetos (INTERSPEECH, 2020)

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)

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)