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pro vyhledávání: '"A. Sai Kumar"'
We focus on recovering 3D object pose and shape from single images. This is highly challenging due to strong (self-)occlusions, depth ambiguities, the enormous shape variance, and lack of 3D ground truth for natural images. Recent work relies mostly
Externí odkaz:
http://arxiv.org/abs/2409.16178
We address the problem of regressing 3D human pose and shape from a single image, with a focus on 3D accuracy. The current best methods leverage large datasets of 3D pseudo-ground-truth (p-GT) and 2D keypoints, leading to robust performance. With suc
Externí odkaz:
http://arxiv.org/abs/2404.16752
Publikováno v:
International Journal on Cybernetics & Informatics (IJCI), vol. 13, no. 2, pp. 15-31, Apr. 2024
Artificial intelligence (AI) is widely deployed to solve problems related to marketing attribution and budget optimization. However, AI models can be quite complex, and it can be difficult to understand model workings and insights without extensive i
Externí odkaz:
http://arxiv.org/abs/2404.13077
Autor:
Manne, Sai Kumar Reddy, Wan, Michael
Automatic white balancing (AWB), one of the first steps in an integrated signal processing (ISP) pipeline, aims to correct the color cast induced by the scene illuminant. An incorrect white balance (WB) setting or AWB failure can lead to an undesired
Externí odkaz:
http://arxiv.org/abs/2404.10133
Autor:
Manne, Sai Kumar Reddy, Martin, Brendan, Roy, Tyler, Neilson, Ryan, Peters, Rebecca, Chillara, Meghana, Lary, Christine W., Motyl, Katherine J., Wan, Michael
Osteoclast cell image analysis plays a key role in osteoporosis research, but it typically involves extensive manual image processing and hand annotations by a trained expert. In the last few years, a handful of machine learning approaches for osteoc
Externí odkaz:
http://arxiv.org/abs/2404.10130
We introduce ChatPose, a framework employing Large Language Models (LLMs) to understand and reason about 3D human poses from images or textual descriptions. Our work is motivated by the human ability to intuitively understand postures from a single i
Externí odkaz:
http://arxiv.org/abs/2311.18836
Non-nutritive sucking (NNS), which refers to the act of sucking on a pacifier, finger, or similar object without nutrient intake, plays a crucial role in assessing healthy early development. In the case of preterm infants, NNS behavior is a key compo
Externí odkaz:
http://arxiv.org/abs/2310.16138
The regression of 3D Human Pose and Shape (HPS) from an image is becoming increasingly accurate. This makes the results useful for downstream tasks like human action recognition or 3D graphics. Yet, no regressor is perfect, and accuracy can be affect
Externí odkaz:
http://arxiv.org/abs/2308.12965
Autor:
Uma Devi Karuru, Sadanand Reddy Tummala, Paladugu Srinivas Gautam, T. Naveen, Kiran Kumar Kanjerla, Sai Kumar Mysore
Publikováno v:
The Egyptian Heart Journal, Vol 76, Iss 1, Pp 1-5 (2024)
Abstract Background Rheumatic heart disease (RHD) continues to pose a significant burden on global health, particularly in socioeconomically disadvantaged populations. We present the case of a 38-year-old woman with severe multivalvular RHD and giant
Externí odkaz:
https://doaj.org/article/ff4dfffbd09b4cc8be8a4d3e9f233aea
Respiration is a critical vital sign for infants, and continuous respiratory monitoring is particularly important for newborns. However, neonates are sensitive and contact-based sensors present challenges in comfort, hygiene, and skin health, especia
Externí odkaz:
http://arxiv.org/abs/2307.13110