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Mayank Vatsa*

2 accepted papers

2024

HyperSpaceX: Radial and Angular Exploration of HyperSpherical Dimensions

ECCV 2024poster

"Traditional deep learning models rely on methods such as softmax cross-entropy and ArcFace loss for tasks like classification and face recognition. These methods mainly explore angular features in a hyperspherical space, often resulting in entangled inter-class features due to dense angular data ac…

2024

Navigating Text-to-Image Generative Bias across Indic Languages

ECCV 2024poster

"This research investigates biases in text-to-image (TTI) models for the Indic languages widely spoken across India. It evaluates and compares the generative performance and cultural relevance of leading TTI models in these languages against their performance in English. Using the proposed IndicTTI…

Cited by 2SourcePDFScholar