Artikel mit Open-Access-Mandaten - Kayvon FatahalianWeitere Informationen
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Exploratory stage lighting design using visual objectives
E Shimizu, S Paris, M Fisher, E Yumer, K Fatahalian
Computer Graphics Forum 38 (2), 417-429, 2019
Mandate: US National Science Foundation
Verfügbar: 26
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
Mandate: US National Science Foundation
Automatically scheduling halide image processing pipelines
RT Mullapudi, A Adams, D Sharlet, J Ragan-Kelley, K Fatahalian
ACM Transactions on Graphics (TOG) 35 (4), 1-11, 2016
Mandate: US National Science Foundation
Hydranets: Specialized dynamic architectures for efficient inference
RT Mullapudi, WR Mark, N Shazeer, K Fatahalian
Proceedings of the IEEE conference on computer vision and pattern …, 2018
Mandate: US National Science Foundation
Fast and three-rious: Speeding up weak supervision with triplet methods
D Fu, M Chen, F Sala, S Hooper, K Fatahalian, C Ré
International conference on machine learning, 3280-3291, 2020
Mandate: US National Science Foundation, US Department of Defense, US National …
Online model distillation for efficient video inference
RT Mullapudi, S Chen, K Zhang, D Ramanan, K Fatahalian
Proceedings of the IEEE/CVF International conference on computer vision …, 2019
Mandate: US National Science Foundation, US Department of Defense, US Office of the …
Scanner: Efficient video analysis at scale
A Poms, W Crichton, P Hanrahan, K Fatahalian
ACM Transactions on Graphics (TOG) 37 (4), 1-13, 2018
Mandate: US National Science Foundation
Mandoline: Model evaluation under distribution shift
M Chen, K Goel, NS Sohoni, F Poms, K Fatahalian, C Ré
International conference on machine learning, 1617-1629, 2021
Mandate: US National Science Foundation, US Department of Defense, US National …
Krishnacam: Using a longitudinal, single-person, egocentric dataset for scene understanding tasks
KK Singh, K Fatahalian, AA Efros
2016 IEEE Winter Conference on Applications of Computer Vision (WACV), 1-9, 2016
Mandate: US National Science Foundation
Type-directed scheduling of streaming accelerators
D Durst, M Feldman, D Huff, D Akeley, R Daly, GL Bernstein, M Patrignani, ...
Proceedings of the 41st ACM SIGPLAN Conference on Programming Language …, 2020
Mandate: US National Science Foundation, US Department of Defense, American Heart …
Perfectly balanced: Improving transfer and robustness of supervised contrastive learning
M Chen, DY Fu, A Narayan, M Zhang, Z Song, K Fatahalian, C Ré
International Conference on Machine Learning, 3090-3122, 2022
Mandate: US National Science Foundation, US Department of Defense, US National …
Video pose distillation for few-shot, fine-grained sports action recognition
J Hong, M Fisher, M Gharbi, K Fatahalian
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
Mandate: US National Science Foundation
Multi-resolution weak supervision for sequential data
P Varma, F Sala, S Sagawa, J Fries, D Fu, S Khattar, A Ramamoorthy, ...
Advances in Neural Information Processing Systems 32, 2019
Mandate: US National Science Foundation, US Department of Defense, US National …
Spotting temporally precise, fine-grained events in video
J Hong, H Zhang, M Gharbi, M Fisher, K Fatahalian
European Conference on Computer Vision, 33-51, 2022
Mandate: US National Science Foundation
Iterative text-based editing of talking-heads using neural retargeting
X Yao, O Fried, K Fatahalian, M Agrawala
ACM Transactions on Graphics (TOG) 40 (3), 1-14, 2021
Mandate: US National Science Foundation
Slang: language mechanisms for extensible real-time shading systems
Y He, K Fatahalian, T Foley
ACM Transactions on Graphics (TOG) 37 (4), 1-13, 2018
Mandate: US National Science Foundation
Creating an agile hardware design flow
R Bahr, C Barrett, N Bhagdikar, A Carsello, R Daly, C Donovick, D Durst, ...
2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020
Mandate: US Department of Defense
Shader components: modular and high performance shader development
Y He, T Foley, T Hofstee, H Long, K Fatahalian
ACM Transactions on Graphics (TOG) 36 (4), 1-11, 2017
Mandate: US National Science Foundation
Shoring up the foundations: Fusing model embeddings and weak supervision
MF Chen, DY Fu, D Adila, M Zhang, F Sala, K Fatahalian, C Ré
Uncertainty in Artificial Intelligence, 357-367, 2022
Mandate: US National Science Foundation, US Department of Defense, US National …
Analysis of faces in a decade of us cable tv news
J Hong, W Crichton, H Zhang, DY Fu, J Ritchie, J Barenholtz, B Hannel, ...
KDD'21: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery …, 2021
Mandate: US National Science Foundation
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