1 code implementation • 20 Nov 2023 • Pooya Fayyazsanavi, Negar Nejatishahidin, Jana Kosecka
We also propose a novel two-stage inference approach that re-ranks the hypotheses using the language model capabilities of the decoder.
no code implementations • 26 Apr 2023 • Negar Nejatishahidin, Will Hutchcroft, Manjunath Narayana, Ivaylo Boyadzhiev, Yuguang Li, Naji Khosravan, Jana Kosecka, Sing Bing Kang
In this paper, we address the problem of wide-baseline camera pose estimation from a group of 360$^\circ$ panoramas under upright-camera assumption.
no code implementations • 4 Dec 2022 • Negar Nejatishahidin, Pooya Fayyazsanavi
6D object pose estimation problem has been extensively studied in the field of Computer Vision and Robotics.
1 code implementation • 2 Mar 2022 • Negar Nejatishahidin, Pooya Fayyazsanavi, Jana Kosecka
The deep convolutional network models (CNN) for pose estimation are typically trained and evaluated on datasets specifically curated for object detection, pose estimation, or 3D reconstruction, which requires large amounts of training data.
Ranked #1 on Pose Estimation on Pix3D