Metehan Cekic — accepted AI-conference papers

2024

Perceptual Evaluation of Audio-Visual Synchrony Grounded in Viewers’ Opinion Scores

Lucas Goncalves, Prashant Mathur*, Chandrashekhar Lavania, Metehan Cekic, Marcello Federico, Kyu Han

ECCV 2024poster

"Recent advancements in audio-visual generative modeling have been propelled by progress in deep learning and the availability of data-rich benchmarks. However, the growth is not attributed solely to models and benchmarks. Universally accepted evaluation metrics also play an important role in advanc…

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2022

Self-Supervised Speaker Recognition Training using Human-Machine Dialogues

Metehan Cekic, Ruirui Li, Zeya Chen, Yuguang Yang, Andreas Stolcke, Upamanyu Madhow

ICASSP 2022accepted

Speaker recognition, recognizing speaker identities based on voice alone, enables important downstream applications, such as personalization and authentication. Learning speaker representations, in the context of supervised learning, heavily depends on both clean and sufficient labeled data, which i…

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2020

Polarizing Front Ends for Robust Cnns

Can Bakiskan, Soorya Gopalakrishnan, Metehan Cekic, Upamanyu Madhow, Ramtin Pedarsani

ICASSP 2020accepted

The vulnerability of deep neural networks to small, adversarially designed perturbations can be attributed to their "excessive linearity." In this paper, we propose a bottom-up strategy for attenuating adversarial perturbations using a nonlinear front end which polarizes and quantizes the data. We o…

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