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Aakanksha

3 accepted papers

2024

The Multilingual Alignment Prism: Aligning Global and Local Preferences to Reduce Harm

EMNLP 2024main

A key concern with the concept of *“alignment”* is the implicit question of *“alignment to what?”*. AI systems are increasingly used across the world, yet safety alignment is often focused on homogeneous monolingual settings. Additionally, preference training and safety measures often overfit to har…

Cited by 18SourcePDFScholar
2023

Improving Robustness of Semantic Segmentation to Motion-Blur Using Class-Centric Augmentation

CVPR 2023poster

Semantic segmentation involves classifying each pixel into one of a pre-defined set of object/stuff classes. Such a fine-grained detection and localization of objects in the scene is challenging by itself. The complexity increases manifold in the presence of blur. With cameras becoming increasingly…

Cited by 9SourcePDFScholar
2021

Localize to Binauralize: Audio Spatialization From Visual Sound Source Localization

ICCV 2021poster

Videos with binaural audios provide an immersive viewing experience by enabling 3D sound sensation. Recent works attempt to generate binaural audio in a multimodal learning framework using large quantities of videos with accompanying binaural audio. In contrast, we attempt a more challenging problem…

Cited by 28PDFcodeScholar