Straipsniai su viešo pasiekiamumo įpareigojimais - Fredo DurandSužinokite daugiau
Niekur nepasiekiama: 2
Optimizing N-dimensional, winograd-based convolution for manycore CPUs
Z Jia, A Zlateski, F Durand, K Li
Proceedings of the 23rd ACM SIGPLAN Symposium on Principles and Practice of …, 2018
Įpareigojimai: US Office of the Director of National Intelligence
On the capability of neural networks to generalize to unseen category-pose combinations
S Madan, T Henry, J Dozier, H Ho, N Bhandari, T Sasaki, F Durand, ...
Center for Brains, Minds and Machines (CBMM), 2020
Įpareigojimai: US National Science Foundation
Kur nors pasiekiama: 60
What do different evaluation metrics tell us about saliency models?
Z Bylinskii, T Judd, A Oliva, A Torralba, F Durand
IEEE transactions on pattern analysis and machine intelligence 41 (3), 740-757, 2018
Įpareigojimai: US National Science Foundation, US Department of Defense, Natural Sciences …
Taichi: a language for high-performance computation on spatially sparse data structures
Y Hu, TM Li, L Anderson, J Ragan-Kelley, F Durand
ACM Transactions on Graphics (TOG) 38 (6), 1-16, 2019
Įpareigojimai: US National Science Foundation
Light field networks: Neural scene representations with single-evaluation rendering
V Sitzmann, S Rezchikov, B Freeman, J Tenenbaum, F Durand
Advances in Neural Information Processing Systems 34, 19313-19325, 2021
Įpareigojimai: US National Science Foundation, US Department of Defense
Learning to optimize halide with tree search and random programs
A Adams, K Ma, L Anderson, R Baghdadi, TM Li, M Gharbi, B Steiner, ...
ACM Transactions on Graphics (TOG) 38 (4), 1-12, 2019
Įpareigojimai: US National Science Foundation
Single-image svbrdf capture with a rendering-aware deep network
V Deschaintre, M Aittala, F Durand, G Drettakis, A Bousseau
ACM Transactions on Graphics (ToG) 37 (4), 1-15, 2018
Įpareigojimai: European Commission
Learning-based video motion magnification
TH Oh, R Jaroensri, C Kim, M Elgharib, F Durand, WT Freeman, ...
Proceedings of the European conference on computer vision (ECCV), 633-648, 2018
Įpareigojimai: Swiss National Science Foundation
Learning visual importance for graphic designs and data visualizations
Z Bylinskii, NW Kim, P O'Donovan, S Alsheikh, S Madan, H Pfister, ...
Proceedings of the 30th Annual ACM symposium on user interface software and …, 2017
Įpareigojimai: Natural Sciences and Engineering Research Council of Canada
Where should saliency models look next?
Z Bylinskii, A Recasens, A Borji, A Oliva, A Torralba, F Durand
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
Įpareigojimai: US National Science Foundation, Natural Sciences and Engineering Research …
Turning corners into cameras: Principles and methods
KL Bouman, V Ye, AB Yedidia, F Durand, GW Wornell, A Torralba, ...
Proceedings of the IEEE International Conference on Computer Vision, 2270-2278, 2017
Įpareigojimai: US National Science Foundation, US Department of Defense
Differentiable programming for image processing and deep learning in Halide
TM Li, M Gharbi, A Adams, F Durand, J Ragan-Kelley
ACM Transactions on Graphics (ToG) 37 (4), 1-13, 2018
Įpareigojimai: US National Science Foundation
Halide: Decoupling algorithms from schedules for high-performance image processing
J Ragan-Kelley, A Adams, D Sharlet, C Barnes, S Paris, M Levoy, ...
Communications of the ACM 61 (1), 106-115, 2017
Įpareigojimai: US National Science Foundation, US Department of Energy
Implicit visibility and antiradiance for interactive global illumination
C Dachsbacher, M Stamminger, G Drettakis, F Durand
ACM Transactions on Graphics (TOG) 26 (3), 61-es, 2007
Įpareigojimai: German Research Foundation
Eulerian video magnification and analysis
N Wadhwa, HY Wu, A Davis, M Rubinstein, E Shih, GJ Mysore, JG Chen, ...
Communications of the ACM 60 (1), 87-95, 2016
Įpareigojimai: US National Science Foundation
Flexible svbrdf capture with a multi‐image deep network
V Deschaintre, M Aittala, F Durand, G Drettakis, A Bousseau
Computer graphics forum 38 (4), 1-13, 2019
Įpareigojimai: European Commission
Bubbleview: an interface for crowdsourcing image importance maps and tracking visual attention
NW Kim, Z Bylinskii, MA Borkin, KZ Gajos, A Oliva, F Durand, H Pfister
ACM Transactions on Computer-Human Interaction (TOCHI) 24 (5), 1-40, 2017
Įpareigojimai: US National Science Foundation, Natural Sciences and Engineering Research …
OpenSketch: a richly-annotated dataset of product design sketches.
Y Gryaditskaya, M Sypesteyn, JW Hoftijzer, SC Pont, F Durand, ...
ACM Trans. Graph. 38 (6), 232:1-232:16, 2019
Įpareigojimai: European Commission
Plug-and-play algorithms for video snapshot compressive imaging
X Yuan, Y Liu, J Suo, F Durand, Q Dai
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (10), 7093 …, 2021
Įpareigojimai: National Natural Science Foundation of China
Gradient-domain path tracing
M Kettunen, M Manzi, M Aittala, J Lehtinen, F Durand, M Zwicker
ACM Transactions on Graphics (TOG) 34 (4), 1-13, 2015
Įpareigojimai: Swiss National Science Foundation, Academy of Finland
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