activity
20222024
most citedObject Pose Estimation using Mid-level Visual Representations

4 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

Structured Spatial Reasoning with Open Vocabulary Object Detectors

Negar Nejatishahidin, Madhukar Reddy Vongala, Jana Kosecka

Reasoning about spatial relationships between objects is essential for many real-world robotic tasks, such as fetch-and-delivery, object rearrangement, and object search. The abili…

cs.CV2023

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…

cs.CV2023

Graph-CoVis: GNN-based Multi-view Panorama Global Pose Estimation

Negar Nejatishahidin, Will Hutchcroft, Manjunath Narayana +5

In this paper, we address the problem of wide-baseline camera pose estimation from a group of 360 panoramas under upright-camera assumption. Recent work has demonstrated th…

cs.CV2022★ 1 cited

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…

cs.CV2022★ 4 cited

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…