Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Kamal Rahimi"'
Autor:
Sanghi, Aditya, Khani, Aliasghar, Reddy, Pradyumna, Rampini, Arianna, Cheung, Derek, Malekshan, Kamal Rahimi, Madan, Kanika, Shayani, Hooman
Large-scale 3D generative models require substantial computational resources yet often fall short in capturing fine details and complex geometries at high resolutions. We attribute this limitation to the inefficiency of current representations, which
Externí odkaz:
http://arxiv.org/abs/2411.08017
Autor:
Hui, Ka-Hei, Sanghi, Aditya, Rampini, Arianna, Malekshan, Kamal Rahimi, Liu, Zhengzhe, Shayani, Hooman, Fu, Chi-Wing
Significant progress has been made in training large generative models for natural language and images. Yet, the advancement of 3D generative models is hindered by their substantial resource demands for training, along with inefficient, non-compact,
Externí odkaz:
http://arxiv.org/abs/2401.11067
6-DoF pose estimation is an essential component of robotic manipulation pipelines. However, it usually suffers from a lack of generalization to new instances and object types. Most widely used methods learn to infer the object pose in a discriminativ
Externí odkaz:
http://arxiv.org/abs/2305.17252
Autor:
Milad Ahangarzadeh, Razieh Janghiyamachi, Kamal Rahimi, Behnam Babamiri, Mahin Roohani, Hiva Lotfy, Rasoul Goli, Navid Faraji, Mohammad Reza Faramarzi, Ali Mesri
Publikováno v:
Toxicology Reports, Vol 12, Iss , Pp 531-533 (2024)
This case report details the journey of a 51-year-old man residing in a remote Iranian village, involved in livestock rearing, who was hospitalized due to Brucellosis contracted from consuming traditional cheese and dairy products. Initially treated
Externí odkaz:
https://doaj.org/article/31254fb74a42407d93c8e4ade27dc12a
Autor:
Lambourne, Joseph G., Willis, Karl D. D., Jayaraman, Pradeep Kumar, Zhang, Longfei, Sanghi, Aditya, Malekshan, Kamal Rahimi
Reverse Engineering a CAD shape from other representations is an important geometric processing step for many downstream applications. In this work, we introduce a novel neural network architecture to solve this challenging task and approximate a smo
Externí odkaz:
http://arxiv.org/abs/2209.01161
Autor:
Kamal Rahimi, Rasoul Goli, Navid Faraji, Bagher Pourheidar, Somaye Nabavi, Maryam Pourheidar, Behnam Babamiri
Publikováno v:
Toxicology Reports, Vol 11, Iss , Pp 241-248 (2023)
Introduction: Diabetes causes testicular damage due to oxidative stress. Nowadays, the use of vitamins and antioxidants is one of the common methods to treat this disease. Therefore, the aim of this study is to investigate the effect of single and co
Externí odkaz:
https://doaj.org/article/5068f36e911143acafde65423e97a014
Autor:
Sanghi, Aditya, Chu, Hang, Lambourne, Joseph G., Wang, Ye, Cheng, Chin-Yi, Fumero, Marco, Malekshan, Kamal Rahimi
Generating shapes using natural language can enable new ways of imagining and creating the things around us. While significant recent progress has been made in text-to-image generation, text-to-shape generation remains a challenging problem due to th
Externí odkaz:
http://arxiv.org/abs/2110.02624
In this paper, we study how to determine concurrent transmissions and the transmission power level of each link to maximize spectrum efficiency and minimize energy consumption in a wireless ad hoc network. The optimal joint transmission packet schedu
Externí odkaz:
http://arxiv.org/abs/1706.05596
Efficient radio spectrum utilization and low energy consumption in mobile devices are essential in developing next generation wireless networks. This paper presents a new medium access control (MAC) mechanism to enhance spectrum efficiency and reduce
Externí odkaz:
http://arxiv.org/abs/1510.05338
Publikováno v:
Int J Surg Case Rep
INTRODUCTION AND IMPORTANCE: soft tissue sarcoma (STS) is a type of cancer that can affect connective tissue. Diagnosis of this malignant tumor is difficult, and complications are related to the pressure it can exert on surrounding body organs. Up to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b30f067f8b44b34b0dadd835783b163
https://doi.org/10.1016/j.ijscr.2023.108104
https://doi.org/10.1016/j.ijscr.2023.108104