Peyman Rostami

Orcid: 0000-0002-7497-062X

According to our database1, Peyman Rostami authored at least 13 papers between 2018 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Cov2Pose: Leveraging Spatial Covariance for Direct Manifold-aware 6-DoF Object Pose Estimation.
CoRR, March, 2026

2025
Information Theoretic Pruning of Coupled Channels in Deep Neural Networks.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

FPG-NAS: FLOPs-Aware Gated Differentiable Neural Architecture Search for Efficient 6DoF Pose Estimation.
Proceedings of the IEEE International Workshop on Multimedia Signal Processing, 2025

PolitiSky24: U.S. Political Bluesky Dataset with User Stance Labels.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024
Hardware Aware Evolutionary Neural Architecture Search using Representation Similarity Metric.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Multi-Objective Hardware Aware Neural Architecture Search using Hardware Cost Diversity.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
A deep learning-based expert finding method to retrieve agile software teams from CQAs.
Inf. Process. Manag., 2023

Impact of Disentanglement on Pruning Neural Networks.
CoRR, 2023

2021
Intern retrieval from community question answering websites: A new variation of expert finding problem.
Expert Syst. Appl., 2021

Elliptical Shape Recovery from Blurred Pixels Using Deep Learning.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
An Image Dataset of Vehicles Front Views and Parts for Vehicle Detection, Localization and Alignment Applications.
Proceedings of the 10th International Symposium on Telecommunications, 2020

2019
T-shaped grouping: Expert finding models to agile software teams retrieval.
Expert Syst. Appl., 2019

2018
T-Shaped Mining: A Novel Approach to Talent Finding for Agile Software Teams.
Proceedings of the Advances in Information Retrieval, 2018


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