Concepedia

Nathan Drenkow

ND

Statistics

Publications

3

Citations

360

H-Index

3

Active since

2021

Affiliations

Johns Hopkins University(Current)

Nathan Drenkow is an author at Johns Hopkins University specializing in computer vision, machine vision, and deep learning.

Top concepts

Publications per year

2021–2022

3

Publications

3

Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformers

Zhaoshuo Li, Xingtong Liu, Nathan Drenkow et al. · 2021 IEEE/CVF International Conference on Computer Vision (ICCV) · 2021 · 287 citations

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A framework for rigorous evaluation of human performance in human and machine learning comparison studies

Hannah Cowley, Mandy Natter, Karla Gray-Roncal et al. · Scientific Reports · 2022 · 53 citations · Full text

Robustness in Deep Learning for Computer Vision: Mind the gap?.

Nathan Drenkow, Numair Sani, Ilya Shpitser et al. · arXiv (Cornell University) · 2021 · 20 citations · Full text

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