Amir Sadovnik

According to our database, Amir Sadovnik authored at least 22 papers between 2011 and 2024.

Collaborative distances:

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

2024

Redefining "Hallucination" in LLMs: Towards a psychology-informed framework for mitigating misinformation.

Elijah Berberette, Jack Hutchins, Amir Sadovnik

CoRR, 2024

2023

Object Detection in Pineapple Fields Drone Imagery Using Few Shot Learning and the Segment Anything Model.

Fabian Fallas-Moya, Saúl Calderón Ramírez, Amir Sadovnik, Hairong Qi

Proceedings of the International Conference on Machine Learning and Applications, 2023

2022

Heterogeneous Attention Nested U-Shaped Network for Blur Detection.

Wenliang Guo, Xiao Xiao, Yilong Hui, Wenming Yang, Amir Sadovnik

IEEE Signal Process. Lett., 2022

Monocular Depth Estimation with Adaptive Geometric Attention.

Taher Naderi, Amir Sadovnik, Jason P. Hayward, Hairong Qi

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

2021

MSDU-Net: A Multi-Scale Dilated U-Net for Blur Detection.

Xiao Xiao, Fan Yang, Amir Sadovnik

Sensors, 2021

A Simulated Experiment to Explore Robotic Dialogue Strategies for People with Dementia.

Fengpei Yuan, Amir Sadovnik, Ran Zhang, Devin Casenhiser, Eun Jin Paek, Si On Yoon, Xiaopeng Zhao

CoRR, 2021

Size Does Matter: Overcoming Limitations during Training when using a Feature Pyramid Network.

Fabian Fallas-Moya, Manfred Gonzalez-Hernandez, Amir Sadovnik

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

TopKConv: Increased Adversarial Robustness Through Deeper Interpretability.

Henry Eigen, Amir Sadovnik

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Measuring the Impact of Memory Replay in Training Pacman Agents using Reinforcement Learning.

Fabian Fallas-Moya, Jeremiah Duncan, Tabitha K. Samuel, Amir Sadovnik

Proceedings of the XLVII Latin American Computing Conference, 2021

2020

Reinforcement Learning for Elimination of Reentrant Spiral Waves in Excitable Media.

James K. Senter, Dan Wilson, Amir Sadovnik

Proceedings of the 2020 American Control Conference, 2020

2019

Unaligned Sequence Similarity Search Using Deep Learning.

James K. Senter, Taylor M. Royalty, Andrew D. Steen, Amir Sadovnik

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018

Finding Your Lookalike: Measuring Face Similarity Rather Than Face Identity.

Amir Sadovnik, Wassim Gharbi, Thanh Vu, Andrew C. Gallagher

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017

Image level color classification for colorblind assistance.

Thomas L. Fuller, Amir Sadovnik

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016

Where do emotions come from? Predicting the Emotion Stimuli Map.

Kuan-Chuan Peng, Amir Sadovnik, Andrew C. Gallagher, Tsuhan Chen

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015

A mixed bag of emotions: Model, predict, and transfer emotion distributions.

Kuan-Chuan Peng, Tsuhan Chen, Amir Sadovnik, Andrew C. Gallagher

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2013

A visual dictionary attack on Picture Passwords.

Amir Sadovnik, Tsuhan Chen

Proceedings of the IEEE International Conference on Image Processing, 2013

Spoken Attributes: Mixing Binary and Relative Attributes to Say the Right Thing.

Amir Sadovnik, Andrew C. Gallagher, Devi Parikh, Tsuhan Chen

Proceedings of the IEEE International Conference on Computer Vision, 2013

Not Everybody's Special: Using Neighbors in Referring Expressions with Uncertain Attributes.

Amir Sadovnik, Andrew C. Gallagher, Tsuhan Chen

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2013

It's Not Polite to Point: Describing People with Uncertain Attributes.

Amir Sadovnik, Andrew C. Gallagher, Tsuhan Chen

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Hierarchical object groups for scene classification.

Amir Sadovnik, Tsuhan Chen

Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Image description with a goal: Building efficient discriminating expressions for images.

Amir Sadovnik, Yi-I Chiu, Noah Snavely, Shimon Edelman, Tsuhan Chen

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

Pictorial structures for object recognition and part labeling in drawings.

Amir Sadovnik, Tsuhan Chen

Proceedings of the 18th IEEE International Conference on Image Processing, 2011