activity
20182024
most citedEnhancing object detection robustness: A synthetic and natural perturbation approach

3 citations · 6 across the 5 of their papers we have counts for

collaborators

5 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.CV2024★ 1 cited

Single Channel EEG Based Insomnia Identification Without Sleep Stage Annotations

Chan-Yun Yang, Nilantha Premakumara, Hooman Samani +1

This paper proposes a new approach to identifying patients with insomnia using a single EEG channel, without the need for sleep stage annotation. Data preprocessing, feature extrac…

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…

eess.SP2018★ 2 cited

Technical Report on Efficient Integration of Dynamic TDD with Massive MIMO

Yan Huang, Brian Jalaian, Stephen Russell +1

Recent advances in massive multiple-input multiple-output (MIMO) communication show that equipping base stations (BSs) with large arrays of antenna can significantly improve the pe…