Peri Akiva

According to our database, Peri Akiva authored at least 9 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Single Stage Weakly Supervised Semantic Segmentation of Complex Scenes.

Peri Akiva, Kristin J. Dana

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Self-Supervised Object Detection from Egocentric Videos.

Peri Akiva, Jing Huang, Kevin J. Liang, Rama Kovvuri, Xingyu Chen, Matt Feiszli, Kristin J. Dana, Tal Hassner

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

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 Material and Texture Representation Learning for Remote Sensing Tasks.

Peri Akiva, Matthew Purri, Matthew J. Leotta

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Towards Single Stage Weakly Supervised Semantic Segmentation.

Peri Akiva, Kristin J. Dana

CoRR, 2021

AI on the Bog: Monitoring and Evaluating Cranberry Crop Risk.

Peri Akiva, Benjamin Planche, Aditi Roy, Kristin J. Dana, Peter Oudemans, Michael Mars

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

H2O-Net: Self-Supervised Flood Segmentation via Adversarial Domain Adaptation and Label Refinement.

Peri Akiva, Matthew Purri, Kristin J. Dana, Beth Tellman, Tyler Anderson

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

2020

Finding Berries: Segmentation and Counting of Cranberries using Point Supervision and Shape Priors.

Peri Akiva, Kristin J. Dana, Peter Oudemans, Michael Mars

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

ViewSynth: Learning Local Features from Depth using View Synthesis.

Jisan Mahmud, Rajat Vikram Singh, Peri Akiva, Spondon Kundu, Kuan-Chuan Peng, Jan-Michael Frahm

Proceedings of the 31st British Machine Vision Conference 2020, 2020