Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Crespi, Adam"'
Autor:
Picetti, Francesco, Deshpande, Shrinath, Leban, Jonathan, Shahtalebi, Soroosh, Patel, Jay, Jing, Peifeng, Wang, Chunpu, Metze III, Charles, Sun, Cameron, Laidlaw, Cera, Warren, James, Huynh, Kathy, Page, River, Hogins, Jonathan, Crespi, Adam, Ganguly, Sujoy, Ebadi, Salehe Erfanian
We present a novel human body model formulated by an extensive set of anthropocentric measurements, which is capable of generating a wide range of human body shapes and poses. The proposed model enables direct modeling of specific human identities th
Externí odkaz:
http://arxiv.org/abs/2309.03812
Autor:
Ebadi, Salehe Erfanian, Dhakad, Saurav, Vishwakarma, Sanjay, Wang, Chunpu, Jhang, You-Cyuan, Chociej, Maciek, Crespi, Adam, Thaman, Alex, Ganguly, Sujoy
We introduce a new synthetic data generator PSP-HDRI$+$ that proves to be a superior pre-training alternative to ImageNet and other large-scale synthetic data counterparts. We demonstrate that pre-training with our synthetic data will yield a more ge
Externí odkaz:
http://arxiv.org/abs/2207.05025
Autor:
Ebadi, Salehe Erfanian, Jhang, You-Cyuan, Zook, Alex, Dhakad, Saurav, Crespi, Adam, Parisi, Pete, Borkman, Steven, Hogins, Jonathan, Ganguly, Sujoy
In recent years, person detection and human pose estimation have made great strides, helped by large-scale labeled datasets. However, these datasets had no guarantees or analysis of human activities, poses, or context diversity. Additionally, privacy
Externí odkaz:
http://arxiv.org/abs/2112.09290
Autor:
Borkman, Steve, Crespi, Adam, Dhakad, Saurav, Ganguly, Sujoy, Hogins, Jonathan, Jhang, You-Cyuan, Kamalzadeh, Mohsen, Li, Bowen, Leal, Steven, Parisi, Pete, Romero, Cesar, Smith, Wesley, Thaman, Alex, Warren, Samuel, Yadav, Nupur
We introduce the Unity Perception package which aims to simplify and accelerate the process of generating synthetic datasets for computer vision tasks by offering an easy-to-use and highly customizable toolset. This open-source package extends the Un
Externí odkaz:
http://arxiv.org/abs/2107.04259
Autor:
Juliani, Arthur, Khalifa, Ahmed, Berges, Vincent-Pierre, Harper, Jonathan, Teng, Ervin, Henry, Hunter, Crespi, Adam, Togelius, Julian, Lange, Danny
The rapid pace of recent research in AI has been driven in part by the presence of fast and challenging simulation environments. These environments often take the form of games; with tasks ranging from simple board games, to competitive video games.
Externí odkaz:
http://arxiv.org/abs/1902.01378
Autor:
Juliani, Arthur, Khalifa, Ahmed, Berges, Vincent-Pierre, Harper, Jonathan, Teng, Ervin, Henry, Hunter, Crespi, Adam, Togelius, Julian, Lange, Danny, 28th International Joint Conference on Artificial Intelligence
The rapid pace of recent research in AI has been driven in part by the presence of fast and challenging simulation environments. These environments often take the form of games; with tasks ranging from simple board games, to competitive video games.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3549::22216fee3bc1ef3d4dabb0f81e72a6b8
https://www.um.edu.mt/library/oar/handle/123456789/81846
https://www.um.edu.mt/library/oar/handle/123456789/81846