Zobrazeno 1 - 10
of 559
pro vyhledávání: '"Kiran, B. P."'
Autor:
Wozniak, Maciej K., Govindarajan, Hariprasath, Klingner, Marvin, Maurice, Camille, Kiran, B Ravi, Yogamani, Senthil
Recent self-supervised clustering-based pre-training techniques like DINO and Cribo have shown impressive results for downstream detection and segmentation tasks. However, real-world applications such as autonomous driving face challenges with imbala
Externí odkaz:
http://arxiv.org/abs/2410.23085
Autor:
Gosala, Nikhil, Petek, Kürsat, Kiran, B Ravi, Yogamani, Senthil, Drews-Jr, Paulo, Burgard, Wolfram, Valada, Abhinav
Semantic Bird's Eye View (BEV) maps offer a rich representation with strong occlusion reasoning for various decision making tasks in autonomous driving. However, most BEV mapping approaches employ a fully supervised learning paradigm that relies on l
Externí odkaz:
http://arxiv.org/abs/2405.18852
Autor:
Schramm, Jonas, Vödisch, Niclas, Petek, Kürsat, Kiran, B Ravi, Yogamani, Senthil, Burgard, Wolfram, Valada, Abhinav
Semantic scene segmentation from a bird's-eye-view (BEV) perspective plays a crucial role in facilitating planning and decision-making for mobile robots. Although recent vision-only methods have demonstrated notable advancements in performance, they
Externí odkaz:
http://arxiv.org/abs/2403.11761
Autor:
Fabelo, H., Ortega, S., Szolna, A., Bulters, D., Pineiro, J. F., Kabwama, S., Shanahan, A., Bulstrode, H., Bisshopp, S., Kiran, B. R., Ravi, D., Lazcano, R., Madronal, D., Sosa, C., Espino, C., Marquez, M., Plaza, M. De la Luz, Camacho, R., Carrera, D., Hernandez, M., Callico, G. M., Morera, J., Stanciulescu, B., Yang, G. Z., Salvador, R., Juarez, E., Sanz, C., Sarmiento, R.
Publikováno v:
IEEE Access, 2019, 7, pp. 39098 39116
The use of hyperspectral imaging for medical applications is becoming more common in recent years. One of the main obstacles that researchers find when developing hyperspectral algorithms for medical applications is the lack of specific, publicly ava
Externí odkaz:
http://arxiv.org/abs/2402.10776
Autor:
Fabelo, H., Ortega, S., Ravi, D., Kiran, B. R., Sosa, C., Bulters, D., Callico, G. M., Bulstrode, H., Szolna, A., Pineiro, J. F., Kabwama, S., Madronal, D., Lazcano, R., OShanahan, A. J., Bisshopp, S., Hernandez, M., Baez-Quevedo, A., Yang, G. Z., Stanciulescu, B., Salvador, R., Juarez, E., Sarmiento, R.
Surgery for brain cancer is a major problem in neurosurgery. The diffuse infiltration into the surrounding normal brain by these tumors makes their accurate identification by the naked eye difficult. Since surgery is the common treatment for brain ca
Externí odkaz:
http://arxiv.org/abs/2402.07192
The proliferation of cameras and personal devices results in a wide variability of imaging conditions, producing large intra-class variations and a significant performance drop when images from heterogeneous environments are compared. However, many a
Externí odkaz:
http://arxiv.org/abs/2311.01237
Autor:
Shivani Chopra, Vikramaditya Rawat, Meghraj Ingle, Saiprasad Lad, Deepak Sasikumar, Vinay D. Borkar, Yatin Lunagariya, Kiran B., Mit Shah, Chintan Tailor, Somraj Patil
Publikováno v:
Journal of Digestive Endoscopy, Vol 15, Iss 03, Pp 163-168 (2024)
Introduction Difficult biliary cannulation leads to prolonged papillary manipulation and repeated attempts at cannulation are known to increase the risk of postendoscopic retrograde cholangiopancreatography (ERCP) pancreatitis. This study aims to com
Externí odkaz:
https://doaj.org/article/3f022ea1d9d3424c81bd549f363be34f
Autor:
Amit Kumar Mazumder, Rajbir Yadav, Manjeet Kumar, Prashanth Babu, Naresh Kumar, Sanjay Kumar Singh, Amolkumar U. Solanke, Shabir H. Wani, Adel I. Alalawy, Abdulrahman Alasmari, Kiran B. Gaikwad
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-21 (2024)
Abstract To sustainably increase wheat yield to meet the growing world population’s food demand in the face of climate change, Conservation Agriculture (CA) is a promising approach. Still, there is a lack of genomic studies investigating the geneti
Externí odkaz:
https://doaj.org/article/72fa7e431cf8444096a127fd5dafb2ae
Autor:
Susan Wiltrakis, Ruth Hwu, Sherita Holmes, Srikant Iyer, Nandranie Goodwin, Claire Mathai, Scott Gillespie, Kiran B. Hebbar, Nora Colman
Publikováno v:
Advances in Simulation, Vol 9, Iss 1, Pp 1-11 (2024)
Abstract Background Cognitive load impacts performance of debriefers and learners during simulations, but limited data exists examining debriefer cognitive load. The aim of this study is to compare the cognitive load of the debriefers during simulati
Externí odkaz:
https://doaj.org/article/6a7b95ed34eb498fa7fee2646c44e4e8
Active Learning (AL) has remained relatively unexplored for LiDAR perception tasks in autonomous driving datasets. In this study we evaluate Bayesian active learning methods applied to the task of dataset distillation or core subset selection (subset
Externí odkaz:
http://arxiv.org/abs/2302.10679