no code implementations • 19 Sep 2023 • S. Karthik Mukkavilli, Daniel Salles Civitarese, Johannes Schmude, Johannes Jakubik, Anne Jones, Nam Nguyen, Christopher Phillips, Sujit Roy, Shraddha Singh, Campbell Watson, Raghu Ganti, Hendrik Hamann, Udaysankar Nair, Rahul Ramachandran, Kommy Weldemariam
In particular, we are witnessing the rise of AI foundation models that can perform competitively on multiple domain-specific downstream tasks.
no code implementations • 5 Sep 2023 • Romeo Kienzler, Leonardo Pondian Tizzei, Benedikt Blumenstiel, Zoltan Arnold Nagy, S. Karthik Mukkavilli, Johannes Schmude, Marcus Freitag, Michael Behrendt, Daniel Salles Civitarese, Naomi Simumba, Daiki Kimura, Hendrik Hamann
Storing and streaming high dimensional data for foundation model training became a critical requirement with the rise of foundation models beyond natural language.
no code implementations • 2 Sep 2020 • Wang Zhou, Shiyu Chang, Norma Sosa, Hendrik Hamann, David Cox
Recent advances in object detection have benefited significantly from rapid developments in deep neural networks.
no code implementations • 30 Sep 2017 • Sergiy Zhuk, Tigran Tchrakian, Albert Akhriev, Siyuan Lu, Hendrik Hamann
The prediction phase consists of utilizing a linear transport equation, which describes the propagation of COD images in the fluid flow predicted by NSE, to estimate the future motion of the COD images.