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researcher

Hooman Samani

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • cs.CY1
  • cs.RO1
ORCID 0000-0003-1494-2798

identity via Semantic Scholar / OpenAlex

most citedEnhancing object detection robustness: A synthetic and natural perturbation approach

3 citations · 3 across the 3 of their papers we have counts for

collaborators

3 papers

cs.RO2024

GPT versus Humans: Uncovering Ethical Concerns in Conversational Generative AI-empowered Multi-Robot Systems

Rebekah Rousi, Niko Makitalo, Hooman Samani +5

The emergence of generative artificial intelligence (GAI) and large language models (LLMs) such ChatGPT has enabled the realization of long-harbored desires in software and robotic…

cs.CY2024

Business and ethical concerns in domestic Conversational Generative AI-empowered multi-robot systems

Rebekah Rousi, Hooman Samani, Niko Mäkitalo +7

Business and technology are intricately connected through logic and design. They are equally sensitive to societal changes and may be devastated by scandal. Cooperative multi-robot…

cs.CV2023★ 3 cited

Enhancing object detection robustness: A synthetic and natural perturbation approach

Nilantha Premakumara, Brian Jalaian, Niranjan Suri +1

Robustness against real-world distribution shifts is crucial for the successful deployment of object detection models in practical applications. In this paper, we address the probl…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.