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Journal Articles
- 2022
[j1]Peri Akiva
, Benjamin Planche, Aditi Roy, Peter Oudemans, Kristin J. Dana:
Vision on the bog: Cranberry crop risk evaluation with deep learning. Comput. Electron. Agric. 203: 107444 (2022)
Conference and Workshop Papers
- 2023
- [c7]Peri Akiva, Jing Huang, Kevin J. Liang, Rama Kovvuri, Xingyu Chen, Matt Feiszli, Kristin J. Dana, Tal Hassner:
Self-Supervised Object Detection from Egocentric Videos. ICCV 2023: 5202-5214 - [c6]Peri Akiva, Kristin J. Dana:
Single Stage Weakly Supervised Semantic Segmentation of Complex Scenes. WACV 2023: 5943-5954 - 2022
- [c5]Peri Akiva, Matthew Purri, Matthew J. Leotta:
Self-Supervised Material and Texture Representation Learning for Remote Sensing Tasks. CVPR 2022: 8193-8205 - 2021
- [c4]Peri Akiva, Matthew Purri, Kristin J. Dana, Beth Tellman, Tyler Anderson:
H2O-Net: Self-Supervised Flood Segmentation via Adversarial Domain Adaptation and Label Refinement. WACV 2021: 111-122 - [c3]Peri Akiva, Benjamin Planche, Aditi Roy, Kristin J. Dana, Peter Oudemans, Michael Mars:
AI on the Bog: Monitoring and Evaluating Cranberry Crop Risk. WACV 2021: 2492-2501 - 2020
- [c2]Jisan Mahmud, Rajat Vikram Singh, Peri Akiva, Spondon Kundu, Kuan-Chuan Peng, Jan-Michael Frahm:
ViewSynth: Learning Local Features from Depth using View Synthesis. BMVC 2020 - [c1]Peri Akiva, Kristin J. Dana, Peter Oudemans, Michael Mars:
Finding Berries: Segmentation and Counting of Cranberries using Point Supervision and Shape Priors. CVPR Workshops 2020: 219-228
Informal and Other Publications
- 2021
- [i6]Peri Akiva, Kristin J. Dana:
Towards Single Stage Weakly Supervised Semantic Segmentation. CoRR abs/2106.10309 (2021) - [i5]Peri Akiva, Matthew Purri, Matthew J. Leotta:
Self-Supervised Material and Texture Representation Learning for Remote Sensing Tasks. CoRR abs/2112.01715 (2021) - 2020
- [i4]Peri Akiva, Kristin J. Dana, Peter Oudemans, Michael Mars:
Finding Berries: Segmentation and Counting of Cranberries using Point Supervision and Shape Priors. CoRR abs/2004.08501 (2020) - [i3]Peri Akiva, Matthew Purri, Kristin J. Dana, Beth Tellman, Tyler Anderson:
H2O-Net: Self-Supervised Flood Segmentation via Adversarial Domain Adaptation and Label Refinement. CoRR abs/2010.05309 (2020) - [i2]Peri Akiva, Benjamin Planche, Aditi Roy, Kristin J. Dana, Peter Oudemans, Michael Mars:
AI on the Bog: Monitoring and Evaluating Cranberry Crop Risk. CoRR abs/2011.04064 (2020) - 2019
- [i1]Jisan Mahmud, Peri Akiva, Rajat Vikram Singh, Spondon Kundu, Kuan-Chuan Peng, Jan-Michael Frahm:
ViewSynth: Learning Local Features from Depth using View Synthesis. CoRR abs/1911.10248 (2019)
Coauthor Index
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