Zobrazeno 1 - 10
of 200
pro vyhledávání: '"Chethan, M."'
Autor:
Arjun Kalaria, MD, Rajil B. Mehta, MD, Puneet Sood, MD, MPH, Xingyu Zhang, PhD, Harry J. Morford, BS, Vishnu Potluri, MD, MPH, John F. P. Bridges, PhD, Chethan M. Puttarajappa, MD, MS
Publikováno v:
Transplantation Direct, Vol 10, Iss 12, p e1737 (2024)
Background. High-risk cytomegalovirus (CMV) and Epstein-Barr virus (EBV) mismatches (ie, seropositive donors to seronegative recipients) among kidney transplant recipients lead to increased healthcare utilization, inferior allograft outcomes, and hig
Externí odkaz:
https://doaj.org/article/cbe53a1352cb4b5aa14e58e7c2eb6c13
Autor:
Puttarajappa, Chethan M., Smith, Kenneth J., Ahmed, Bestoun H., Bernardi, Karla, Lavenburg, Linda-Marie, Hoffman, William, Molinari, Michele
Publikováno v:
In American Journal of Transplantation December 2024 24(12):2212-2224
Autor:
Shrestha, Snehesh, Fermüller, Cornelia, Huang, Tianyu, Win, Pyone Thant, Zukerman, Adam, Parameshwara, Chethan M., Aloimonos, Yiannis
Pose Estimation techniques rely on visual cues available through observations represented in the form of pixels. But the performance is bounded by the frame rate of the video and struggles from motion blur, occlusions, and temporal coherence. This is
Externí odkaz:
http://arxiv.org/abs/2203.12829
Autor:
Parameshwara, Chethan M., Hari, Gokul, Fermüller, Cornelia, Sanket, Nitin J., Aloimonos, Yiannis
Current deep neural network approaches for camera pose estimation rely on scene structure for 3D motion estimation, but this decreases the robustness and thereby makes cross-dataset generalization difficult. In contrast, classical approaches to struc
Externí odkaz:
http://arxiv.org/abs/2203.11174
Autor:
Ganguly, Kanishka, Mantripragada, Pavan, Parameshwara, Chethan M., Fermüller, Cornelia, Sanket, Nitin J., Aloimonos, Yiannis
Tactile sensing for robotics is achieved through a variety of mechanisms, including magnetic, optical-tactile, and conductive fluid. Currently, the fluid-based sensors have struck the right balance of anthropomorphic sizes and shapes and accuracy of
Externí odkaz:
http://arxiv.org/abs/2203.07290
Autor:
Singh, Chahat Deep, Sanket, Nitin J., Parameshwara, Chethan M., Fermüller, Cornelia, Aloimonos, Yiannis
Publikováno v:
IEEE International Conference on Robots and Systems (IROS) 2021
Recent advances in object segmentation have demonstrated that deep neural networks excel at object segmentation for specific classes in color and depth images. However, their performance is dictated by the number of classes and objects used for train
Externí odkaz:
http://arxiv.org/abs/2109.13859
Autor:
Sanket, Nitin J., Singh, Chahat Deep, Parameshwara, Chethan M., Fermüller, Cornelia, de Croon, Guido C. H. E., Aloimonos, Yiannis
The rapid rise of accessibility of unmanned aerial vehicles or drones pose a threat to general security and confidentiality. Most of the commercially available or custom-built drones are multi-rotors and are comprised of multiple propellers. Since th
Externí odkaz:
http://arxiv.org/abs/2106.15045
Autor:
Parameshwara, Chethan M., Li, Simin, Fermüller, Cornelia, Sanket, Nitin J., Evanusa, Matthew S., Aloimonos, Yiannis
Spiking Neural Networks (SNN) are the so-called third generation of neural networks which attempt to more closely match the functioning of the biological brain. They inherently encode temporal data, allowing for training with less energy usage and ca
Externí odkaz:
http://arxiv.org/abs/2105.06562
Publikováno v:
Nature Environment and Pollution Technology, Vol 22, Iss 3, Pp 1607-1614 (2023)
Over the past several decades, people from many nations have adopted and supported using biodiesel energy sources due to their accessibility and advantages in reducing CO2 and H.C. emissions to the environment. Today, biodiesel is recognized as a sus
Externí odkaz:
https://doaj.org/article/80e1f7522b6e4bb09c1a45dbb5a35921
Autor:
Parameshwara, Chethan M., Sanket, Nitin J., Singh, Chahat Deep, Fermüller, Cornelia, Aloimonos, Yiannis
Segmentation of moving objects in dynamic scenes is a key process in scene understanding for navigation tasks. Classical cameras suffer from motion blur in such scenarios rendering them effete. On the contrary, event cameras, because of their high te
Externí odkaz:
http://arxiv.org/abs/2006.06158