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Fait Poms
Fait Poms
Ph.D. Student, Stanford University
Verified email at cs.stanford.edu - Homepage
Title
Cited by
Cited by
Year
Scanner: Efficient video analysis at scale
A Poms, W Crichton, P Hanrahan, K Fatahalian
ACM Transactions on Graphics (TOG) 37 (4), 1-13, 2018
852018
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
572021
Learning Rare Category Classifiers on a Tight Labeling Budget
RT Mullapudi, F Poms, WR Mark, D Ramanan, K Fatahalian
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
172021
Background Splitting: Finding Rare Classes in a Sea of Background
RT Mullapudi, F Poms, WR Mark, D Ramanan, K Fatahalian
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
102021
Low-Shot Validation: Active Importance Sampling for Estimating Classifier Performance on Rare Categories
F Poms, V Sarukkai, RT Mullapudi, NS Sohoni, WR Mark, D Ramanan, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
82021
Learning patch reconstructability for accelerating multi-view stereo
A Poms, C Wu, SI Yu, Y Sheikh
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
82018
Train and You'll Miss It: Interactive Model Iteration with Weak Supervision and Pre-Trained Embeddings
MF Chen, DY Fu, F Sala, S Wu, RT Mullapudi, F Poms, K Fatahalian, ...
arXiv preprint arXiv:2006.15168, 2020
52020
R2E2: low-latency path tracing of terabyte-scale scenes using thousands of cloud CPUs
S Fouladi, B Shacklett, F Poms, A Arora, A Ozdemir, D Raghavan, ...
ACM Transactions on Graphics (TOG) 41 (4), 1-12, 2022
22022
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