4 citations · 5 across the 5 of their papers we have counts for
5 papers
Gloss2Text: Sign Language Gloss translation using LLMs and Semantically Aware Label Smoothing
Pooya Fayyazsanavi, Antonios Anastasopoulos, Jana Košecká
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 dif…
Fingerspelling PoseNet: Enhancing Fingerspelling Translation with Pose-Based Transformer Models
Pooya Fayyazsanavi, Negar Nejatishahidin, Jana Kosecka
We address the task of American Sign Language fingerspelling translation using videos in the wild. We exploit advances in more accurate hand pose estimation and propose a novel arc…
U2RLE: Uncertainty-Guided 2-Stage Room Layout Estimation
Pooya Fayyazsanavi, Zhiqiang Wan, Will Hutchcroft +4
While the existing deep learning-based room layout estimation techniques demonstrate good overall accuracy, they are less effective for distant floor-wall boundary. To tackle this…
Review on 6D Object Pose Estimation with the focus on Indoor Scene Understanding
Negar Nejatishahidin, Pooya Fayyazsanavi
6D object pose estimation problem has been extensively studied in the field of Computer Vision and Robotics. It has wide range of applications such as robot manipulation, augmented…
Object Pose Estimation using Mid-level Visual Representations
Negar Nejatishahidin, Pooya Fayyazsanavi, Jana Kosecka
This work proposes a novel pose estimation model for object categories that can be effectively transferred to previously unseen environments. The deep convolutional network models…