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pro vyhledávání: '"Sai Kumar, A."'
Navigating indoor environments presents significant challenges for visually impaired individuals due to complex layouts and the absence of GPS signals. This paper introduces a novel system that provides turn-by-turn navigation inside buildings using
Externí odkaz:
http://arxiv.org/abs/2410.19954
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
Autor:
Pasupuleti Subrahmanya Ranjit, Zeeshan Ahmed, Swapnil Sureshchandra Bhurat, Veeresh Babu Alur, Elumalai Perumal Venkatesan, Olusegun David Samuel, Christopher Enweremadu, Algam Sai Kumar, Prabhakar Sekar
Publikováno v:
ACS Omega, Vol 9, Iss 43, Pp 43331-43352 (2024)
Externí odkaz:
https://doaj.org/article/df7fe183427d4c998a15d682d92e6579
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