追蹤
Nipun Kwatra
Nipun Kwatra
Computer Science, Stanford University
在 graphics.stanford.edu 的電子郵件地址已通過驗證
標題
引用次數
引用次數
年份
Texture optimization for example-based synthesis
V Kwatra, I Essa, A Bobick, N Kwatra
ACM SIGGRAPH 2005 Papers, 795-802, 2005
8642005
Two-way coupled SPH and particle level set fluid simulation
F Losasso, J Talton, N Kwatra, R Fedkiw
IEEE Transactions on Visualization and Computer Graphics 14 (4), 797-804, 2008
3202008
Gandiva: Introspective cluster scheduling for deep learning
W Xiao, R Bhardwaj, R Ramjee, M Sivathanu, N Kwatra, Z Han, P Patel, ...
13th USENIX Symposium on Operating Systems Design and Implementation (OSDI …, 2018
3192018
A method for avoiding the acoustic time step restriction in compressible flow
N Kwatra, J Su, JT Grétarsson, R Fedkiw
Journal of Computational Physics 228 (11), 4146-4161, 2009
1612009
Texturing fluids
V Kwatra, D Adalsteinsson, T Kim, N Kwatra, M Carlson, M Lin
IEEE transactions on visualization and computer graphics 13 (5), 939-952, 2007
942007
Balancing efficiency and fairness in heterogeneous GPU clusters for deep learning
S Chaudhary, R Ramjee, M Sivathanu, N Kwatra, S Viswanatha
Proceedings of the Fifteenth European Conference on Computer Systems, 1-16, 2020
702020
A framework for activity recognition and detection of unusual activities
D Mahajan, N Kwatra, S Jain, P Kalra, S Banerjee
Indian Conference on Computer Vision, Graphics and Image Processing 20, 2004
702004
Numerically stable fluid–structure interactions between compressible flow and solid structures
JT Grétarsson, N Kwatra, R Fedkiw
Journal of Computational Physics 230 (8), 3062-3084, 2011
612011
Fluid simulation with articulated bodies
N Kwatra, C Wojtan, M Carlson, IA Essa, PJ Mucha, G Turk
IEEE Transactions on Visualization and Computer Graphics 16 (1), 70-80, 2009
332009
Respirenet: A deep neural network for accurately detecting abnormal lung sounds in limited data setting
S Gairola, F Tom, N Kwatra, M Jain
2021 43rd Annual International Conference of the IEEE Engineering in …, 2021
242021
Practical Animation of Compressible Flow for ShockWaves and Related Phenomena.
N Kwatra, J Gretarsson, R Fedkiw
Symposium on Computer Animation, 207-215, 2010
222010
Unsupervised clustering using pseudo-semi-supervised learning
D Gupta, R Ramjee, N Kwatra, M Sivathanu
International Conference on Learning Representations, 2019
192019
Varuna: scalable, low-cost training of massive deep learning models
S Athlur, N Saran, M Sivathanu, R Ramjee, N Kwatra
Proceedings of the Seventeenth European Conference on Computer Systems, 472-487, 2022
142022
Asynchronous evolution for fully‐implicit and semi‐implicit time integration
C Schroeder, N Kwatra, W Zheng, R Fedkiw
Computer Graphics Forum 30 (7), 1983-1992, 2011
122011
Wide-minima density hypothesis and the explore-exploit learning rate schedule
N Iyer, V Thejas, N Kwatra, R Ramjee, M Sivathanu
arXiv preprint arXiv:2003.03977, 2020
92020
Promoting content
V Raghunathan, DG Arthur, R Jain, EK Moxley, S Venkataraman, ...
US Patent 8,712,850, 2014
92014
Gandiva: Introspective Cluster Scheduling for Deep Learning
X Wencong, R BHARDWAJ, R RAM-JEE, M SIVATHANU, N KWATRA, ...
13th USENIX Symposium on Operating Systems Design and Implementation (OSDI 18), 2018
62018
Dynamic binary space partitioning for hidden surface removal
A Kumar, V Kwatra, B Singh, S Kapoor, A Kumar, V Kwatra, B Singh, ...
Indian Conference on Computer Vision, Graphics and Image Processing 27, 487-496, 2005
52005
SmartKC: Smartphone-based Corneal Topographer for Keratoconus Detection
S Gairola, M Bohra, N Shaheer, N Jayaprakash, P Joshi, ...
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2021
32021
Singularity: Planet-Scale, Preemptible, Elastic Scheduling of AI Workloads
D Shukla, M Sivathanu, S Viswanatha, B Gulavani, R Nehme, A Agrawal, ...
arXiv preprint arXiv:2202.07848, 2022
22022
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