← Search

Peyman Rostami

3 accepted papers

2026

Cov2Pose: Leveraging Spatial Covariance for Direct Manifold-aware 6-DoF Object Pose Estimation

CVPR 2026

In this paper, we address the problem of 6-DoF object pose estimation from a single RGB image. Indirect methods that typically predict intermediate 2D keypoints, followed by a Perspective-n-Point solver, have shown great performance. Direct approaches, which regress the pose in an end-to-end manner,

Cited by 0Source ↗Scholar ↗
2025

PolitiSky24: U.S. Political Bluesky Dataset with User Stance Labels

EMNLP 2025

Stance detection identifies the viewpoint expressed in text toward a specific target, such as a political figure. While previous datasets have focused primarily on tweet-level stances from established platforms, user-level stance resources—especially on emerging platforms like Bluesky—remain scarce.

Cited by 0Source ↗PDF ↗Scholar ↗
2021

Elliptical Shape Recovery from Blurred Pixels Using Deep Learning

ICASSP 2021accepted

In this paper, we study the problem of ellipse recovery from blurred shape images. A shape image is a continuous-domain black and white (binary-valued) image in which the points of the same color form a shape. We assume to have a digitized version of the shape image which is a sampled and blurred ve…

Cited by 0Source ↗Scholar ↗