Peri Akiva

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 14

Top Topics

Semantic Segmentation

Weakly Supervised

Level Set Segmentation

Top Venues

Comput. Electron. Agric.

Publications

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)
Peri Akiva, Kristin J. Dana
Single Stage Weakly Supervised Semantic Segmentation of Complex Scenes. WACV (2023)
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 (2022)
Peri Akiva, Matthew Purri, Matthew J. Leotta
Self-Supervised Material and Texture Representation Learning for Remote Sensing Tasks. CVPR (2022)
Peri Akiva, Matthew Purri, Matthew J. Leotta
Self-Supervised Material and Texture Representation Learning for Remote Sensing Tasks. CoRR (2021)
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)
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)
Peri Akiva, Kristin J. Dana
Towards Single Stage Weakly Supervised Semantic Segmentation. CoRR (2021)
Peri Akiva, Kristin J. Dana, Peter Oudemans, Michael Mars
Finding Berries: Segmentation and Counting of Cranberries using Point Supervision and Shape Priors. CoRR (2020)
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 (2020)
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)
Peri Akiva, Benjamin Planche, Aditi Roy, Kristin J. Dana, Peter Oudemans, Michael Mars
AI on the Bog: Monitoring and Evaluating Cranberry Crop Risk. CoRR (2020)
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)
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 (2019)