Pooya Fayyazsanavi — accepted AI-conference papers

2024

Gloss2Text: Sign Language Gloss translation using LLMs and Semantically Aware Label Smoothing

Pooya Fayyazsanavi, Antonios Anastasopoulos, Jana Kosecka

EMNLP 2024finding

Sign language translation from video to spoken text presents unique challenges owing to the distinct grammar, expression nuances, and high variation of visual appearance across different speakers and contexts. Gloss annotations serve as an intermediary to guide the translation process. In our work,…

Cited by 2 Source ↗PDF ↗code ↗Scholar ↗

2022

Object Pose Estimation using Mid-level Visual Representations

Negar Nejatishahidin, Pooya Fayyazsanavi, Jana Košecka

IROS 2022poster

This work proposes a novel pose estimation model for object categories that can be effectively transferred to pre-viously unseen environments. The deep convolutional network models (CNN) for pose estimation are typically trained and evaluated on datasets specifically curated for object detection, po…

Cited by 22 Source ↗code ↗Scholar ↗