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pro vyhledávání: '"Beker, Deniz"'
Autor:
Li, Zhiyi, Orr, Douglas, Ohan, Valeriu, Da costa, Godfrey, Murray, Tom, Sanders, Adam, Beker, Deniz, Masters, Dominic
Reducing the computational cost of running large scale neural networks using sparsity has attracted great attention in the deep learning community. While much success has been achieved in reducing FLOP and parameter counts while maintaining acceptabl
Externí odkaz:
http://arxiv.org/abs/2303.16999
Autor:
Masters, Dominic, Dean, Josef, Klaser, Kerstin, Li, Zhiyi, Maddrell-Mander, Sam, Sanders, Adam, Helal, Hatem, Beker, Deniz, Fitzgibbon, Andrew, Huang, Shenyang, Rampášek, Ladislav, Beaini, Dominique
We present GPS++, a hybrid Message Passing Neural Network / Graph Transformer model for molecular property prediction. Our model integrates a well-tuned local message passing component and biased global attention with other key ideas from prior liter
Externí odkaz:
http://arxiv.org/abs/2302.02947
Autor:
Masters, Dominic, Dean, Josef, Klaser, Kerstin, Li, Zhiyi, Maddrell-Mander, Sam, Sanders, Adam, Helal, Hatem, Beker, Deniz, Rampášek, Ladislav, Beaini, Dominique
This technical report presents GPS++, the first-place solution to the Open Graph Benchmark Large-Scale Challenge (OGB-LSC 2022) for the PCQM4Mv2 molecular property prediction task. Our approach implements several key principles from the prior literat
Externí odkaz:
http://arxiv.org/abs/2212.02229
Autor:
Beker, Deniz, Kato, Hiroharu, Morariu, Mihai Adrian, Ando, Takahiro, Matsuoka, Toru, Kehl, Wadim, Gaidon, Adrien
3D object detection from monocular images is an ill-posed problem due to the projective entanglement of depth and scale. To overcome this ambiguity, we present a novel self-supervised method for textured 3D shape reconstruction and pose estimation of
Externí odkaz:
http://arxiv.org/abs/2009.14524
Autor:
Kato, Hiroharu, Beker, Deniz, Morariu, Mihai, Ando, Takahiro, Matsuoka, Toru, Kehl, Wadim, Gaidon, Adrien
Deep neural networks (DNNs) have shown remarkable performance improvements on vision-related tasks such as object detection or image segmentation. Despite their success, they generally lack the understanding of 3D objects which form the image, as it
Externí odkaz:
http://arxiv.org/abs/2006.12057
Autor:
Heinemann, Dag, Polder, Gerrit, Brooks, Laura J., Pearce, Daniel, Kwok, Kenton, Jawade, Nikhil, Qi, Man, Fenollosa, Erola, Beker, Deniz, Whicker, James, Davis, Katrina, Salguero-Gómez, Roberto, Wang, Robin, Chappell, Steve
Publikováno v:
Proceedings of SPIE; March 2024, Vol. 12879 Issue: 1 p1287902-1287902-19
Autor:
Beker, Deniz
İç mekan modelleme ve üç boyutlu haritalandırma işlemleri gün geçtikçe daha yaygın kullanılmaya başlanmıştır. Bunlardan bir tanesi de mimaride restorasyon için kullanılan ölçü (rölöve) alma işlemidir. Bu tarz uygulamalar için
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_____10208::6599d4fec7127ab7f1dc579d219a0062
https://acikbilim.yok.gov.tr/handle/20.500.12812/338834
https://acikbilim.yok.gov.tr/handle/20.500.12812/338834