ViewSynth: Learning Local Features from Depth using View Synthesis. - Jisan Mahmud; Rajat Vikram Singh; Peri Akiva; Spondon Kundu; Kuan-Chuan Peng; Jan-Michael Frahm (BMVC, 2020)

Finding Berries: Segmentation and Counting of Cranberries using Point Supervision and Shape Priors. - Peri Akiva; Kristin J. Dana; Peter Oudemans; Michael Mars (CVPR Workshops, 2020)

H2O-Net: Self-Supervised Flood Segmentation via Adversarial Domain Adaptation and Label Refinement. - Peri Akiva; Matthew Purri; Kristin J. Dana; Beth Tellman; Tyler Anderson (WACV, 2021)

AI on the Bog: Monitoring and Evaluating Cranberry Crop Risk. - Peri Akiva; Benjamin Planche; Aditi Roy; Kristin J. Dana; Peter Oudemans; Michael Mars (WACV, 2021)

Towards Single Stage Weakly Supervised Semantic Segmentation. - Peri Akiva; Kristin J. Dana (CoRR, 2021)

Self-Supervised Material and Texture Representation Learning for Remote Sensing Tasks. - Peri Akiva; Matthew Purri; Matthew J. Leotta (CVPR, 2022)

Vision on the bog: Cranberry crop risk evaluation with deep learning. - Peri Akiva; Benjamin Planche; Aditi Roy; Peter Oudemans; Kristin J. Dana (Comput. Electron. Agric., 2022)

Self-Supervised Object Detection from Egocentric Videos. - Peri Akiva; Jing Huang 020; Kevin J. Liang; Rama Kovvuri; Xingyu Chen; Matt Feiszli; Kristin J. Dana; Tal Hassner (ICCV, 2023)

Single Stage Weakly Supervised Semantic Segmentation of Complex Scenes. - Peri Akiva; Kristin J. Dana (WACV, 2023)