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Ramin Zabih
Ramin Zabih
Professor of Computer Science, Cornell University
Verified email at cs.cornell.edu - Homepage
Title
Cited by
Cited by
Year
Chimera: Effectively Modeling Multivariate Time Series with 2-Dimensional State Space Models
A Behrouz, M Santacatterina, R Zabih
arXiv preprint arXiv:2406.04320, 2024
12024
DreamWalk: Style Space Exploration using Diffusion Guidance
M Shu, C Herrmann, RS Bowen, F Cole, R Zabih
arXiv preprint arXiv:2404.03145, 2024
12024
Mambamixer: Efficient selective state space models with dual token and channel selection
A Behrouz, M Santacatterina, R Zabih
arXiv preprint arXiv:2403.19888, 2024
132024
Test-time distribution normalization for contrastively learned visual-language models
Y Zhou, J Ren, F Li, R Zabih, SN Lim
Advances in Neural Information Processing Systems 36, 2024
82024
Stable Estimation of Survival Causal Effects
K Pham, DA Hirshberg, PM Huynh-Pham, M Santacatterina, SN Lim, ...
arXiv preprint arXiv:2310.02278, 2023
12023
Unsupervised text deidentification
JX Morris, JT Chiu, R Zabih, AM Rush
arXiv preprint arXiv:2210.11528, 2022
72022
Dimensions of motion: Monocular prediction through flow subspaces
RS Bowen, R Tucker, R Zabih, N Snavely
2022 International Conference on 3D Vision (3DV), 454-464, 2022
62022
Pyramid adversarial training improves vit performance
C Herrmann, K Sargent, L Jiang, R Zabih, H Chang, C Liu, D Krishnan, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
492022
Diversified motion using multiple global motion models
D Mukherjee, E Keyder, M Covell, C Wang, S Parker, R Zabih
US Patent 11,115,678, 2021
2021
Finding maximally informative patches in images
H Zhong, G Balakrishnan, RS Bowen, R Zabih, WT Freeman
NeurIPS 2021 Workshop on Deep Generative Models and Downstream Applications, 2021
32021
Dimensions of Motion: Learning to Predict a Subspace of Optical Flow from a Single Image.
RS Bowen, R Tucker, R Zabih, N Snavely
CoRR, 2021
2021
Deep survival analysis with longitudinal X-rays for COVID-19
M Shu, RS Bowen, C Herrmann, G Qi, M Santacatterina, R Zabih
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
102021
Oconet: Image extrapolation by object completion
RS Bowen, H Chang, C Herrmann, P Teterwak, C Liu, R Zabih
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
202021
Autoflow: Learning a better training set for optical flow
D Sun, D Vlasic, C Herrmann, V Jampani, M Krainin, H Chang, R Zabih, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
1082021
Channel selection using gumbel softmax
C Herrmann, RS Bowen, R Zabih
European conference on computer vision, 241-257, 2020
422020
Diversified motion using multiple global motion models
D Mukherjee, E Keyder, M Covell, C Wang, S Parker, R Zabih
US Patent 10,681,374, 2020
72020
Learning to autofocus
C Herrmann, RS Bowen, N Wadhwa, R Garg, Q He, JT Barron, R Zabih
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
392020
doctorat
I Bloch, F Forbes, N Komodakis, R Zabih, K Alahari, D Samaras, ...
Université Paris, 2019
2019
Automated image retargeting at scale using a generative adversarial network
J Wang, R Zabih, C Wang, RS Bowen, M Wilber
2019
An end-to-end approach for speeding up neural network inference
C Herrmann, RS Bowen, R Zabih
arXiv preprint arXiv:1812.04180 3, 2018
42018
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