Zobrazeno 1 - 10
of 967
pro vyhledávání: '"DOĞAN, Mustafa"'
Autor:
Dogangun, Fatih, Bahar, Serdar, Yildirim, Yigit, Temir, Bora Toprak, Ugur, Emre, Dogan, Mustafa Doga
As robotics continue to enter various sectors beyond traditional industrial applications, the need for intuitive robot training and interaction systems becomes increasingly more important. This paper introduces Robotic Augmented Reality for Machine P
Externí odkaz:
http://arxiv.org/abs/2410.13412
Despite the growing accessibility of augmented reality (AR) for visualization, existing computer-aided design systems remain largely confined to traditional screens and are often inaccessible to novice users due to their complexity. We present Realit
Externí odkaz:
http://arxiv.org/abs/2410.06113
Precision pose detection is increasingly demanded in fields such as personal fabrication, Virtual Reality (VR), and robotics due to its critical role in ensuring accurate positioning information. However, conventional vision-based systems used in the
Externí odkaz:
http://arxiv.org/abs/2410.06028
The linguistic capabilities of Multimodal Large Language Models (MLLMs) are critical for their effective application across diverse tasks. This study aims to evaluate the performance of MLLMs on the VALSE benchmark, focusing on the efficacy of few-sh
Externí odkaz:
http://arxiv.org/abs/2407.12498
Autor:
Dogan, Mustafa Doga
The convergence of the physical and digital realms has ushered in a new era of immersive experiences and seamless interactions. As the boundaries between the real world and virtual environments blur and result in a "mixed reality," there arises a nee
Externí odkaz:
http://arxiv.org/abs/2407.11748
Autor:
Dogan, Mustafa Doga, Gonzalez, Eric J., Ahuja, Karan, Du, Ruofei, Colaço, Andrea, Lee, Johnny, Gonzalez-Franco, Mar, Kim, David
Seamless integration of physical objects as interactive digital entities remains a challenge for spatial computing. This paper explores Artificial Object Intelligence (AOI) in the context of XR, an interaction paradigm that aims to blur the lines bet
Externí odkaz:
http://arxiv.org/abs/2404.13274
Autor:
Kesen, Ilker, Pedrotti, Andrea, Dogan, Mustafa, Cafagna, Michele, Acikgoz, Emre Can, Parcalabescu, Letitia, Calixto, Iacer, Frank, Anette, Gatt, Albert, Erdem, Aykut, Erdem, Erkut
With the ever-increasing popularity of pretrained Video-Language Models (VidLMs), there is a pressing need to develop robust evaluation methodologies that delve deeper into their visio-linguistic capabilities. To address this challenge, we present Vi
Externí odkaz:
http://arxiv.org/abs/2311.07022
Publikováno v:
In Ocean Engineering 15 November 2024 312 Part 3
Publikováno v:
In Journal of Pharmaceutical and Biomedical Analysis 1 September 2024 247
Autor:
Dogan, Mustafa Doga, Taka, Ahmad, Lu, Michael, Zhu, Yunyi, Kumar, Akshat, Gupta, Aakar, Mueller, Stefanie
Existing approaches for embedding unobtrusive tags inside 3D objects require either complex fabrication or high-cost imaging equipment. We present InfraredTags, which are 2D markers and barcodes imperceptible to the naked eye that can be 3D printed a
Externí odkaz:
http://arxiv.org/abs/2202.06165