Minyoung Huh
Minyoung Huh
PhD student in MIT CSAIL
Verified email at berkeley.edu - Homepage
Title
Cited by
Cited by
Year
What makes ImageNet good for transfer learning?
M Huh, P Agrawal, AA Efros
arXiv preprint arXiv:1608.08614, 2016
3532016
Fighting fake news: Image splice detection via learned self-consistency
M Huh, A Liu, A Owens, AA Efros
Proceedings of the European Conference on Computer Vision (ECCV), 101-117, 2018
1612018
Multi-view to novel view: Synthesizing novel views with self-learned confidence
SH Sun, M Huh, YH Liao, N Zhang, JJ Lim
Proceedings of the European Conference on Computer Vision (ECCV), 155-171, 2018
692018
Ultrasonic sculpting of virtual optical waveguides in tissue
M Chamanzar, MG Scopelliti, J Bloch, N Do, M Huh, D Seo, J Iafrati, ...
Nature communications 10 (1), 1-10, 2019
212019
Feedback adversarial learning: Spatial feedback for improving generative adversarial networks
M Huh, SH Sun, N Zhang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
182019
Transforming and projecting images into class-conditional generative networks
M Huh, R Zhang, JY Zhu, S Paris, A Hertzmann
European Conference on Computer Vision, 17-34, 2020
142020
What makes ImageNet good for transfer learning? arXiv
M Huh, P Agrawal, AA Efros
arXiv preprint arXiv:1608.08614, 2016
52016
Virtual Acousto-optic Beam Paths for Steerable Deep-tissue Optical Stimulation and Imaging
M Chamanzar, M Huh, NH Do, MR Alam, MM Maharbiz
CLEO: Applications and Technology, JW2A. 90, 2015
12015
The Low-Rank Simplicity Bias in Deep Networks
M Huh, H Mobahi, R Zhang, B Cheung, P Agrawal, P Isola
arXiv preprint arXiv:2103.10427, 2021
2021
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Articles 1–9