Amir Sadovnik

Publications

• R.J. Nowling​​, F. Fallas-Moya​, A. Sadovnik, S.J. Emrich, M. Aleck, D. Leskiewicz and J.G. Peters, "Fast, low-memory detection and localization of large, polymorphic inversions from SNPs." in PeerJ, 2022
• H. Eigen and A. Sadovnik, "TopKConv: Increased Adversarial Robustness Through Deeper Interpretability." in IEEE International Conference on Machine Learning and Applications (ICMLA), 2021
• F. Fallas-Moya​, M. Gonzalez-Hernandez and A. Sadovnik, "Size Does Matter: Overcoming Limitations during Training when using a Feature Pyramid Network." in IEEE International Conference on Machine Learning and Applications (ICMLA), 2021
• T. Naderi, A. Sadovnik, and H. Qi, "Monocular depth estimation with adaptive geometric attention." in IEEE Winter Conference on Applications of Computer Vision, 2021.
• W. Guo, X. Xiao, Y. Hui, W. Yang and A. Sadovnik, "Heterogeneous Attention Nested U-Shaped Network for Blur Detection." in IEEE Signal Processing Letters, 2021
• F. Fallas-Moya, R. J. Nowling, S. Emrich and A. Sadovnik, "Automated Detection and Localization of Genome Inversions using Principal Component Analysis." IEEE 3rd International Conference on BioInspired Processing (BIP), 2021.
• F. Fallas-Moya, J. Duncan, T. Samuel and A. Sadovnik, "Measuring the Impact of Memory Replay in Training Pacman Agents using Reinforcement Learning."IEEE Latin American Computing Conference (CLEI), 2021
• J. Duncan and A. Sadovnik “One Size Does Not Fit All: Transferring Adversarial Attacks Across Sizes.” Workshop on Adversarial Machine Learning in Real-World Computer Vision Systems and Online Challenges, Computer Vision and Pattern Recognition (CVPRW), 2021.
• X. Xiao, F. Yang and A. Sadovnik “MSDU-Net: A Multi-Scale Dilated U-Net for Blur Detection.” Image Sensing and Processing with Convolutional Neural Networks [Special Issue], Sensors, 2021.
• J. Senter, D. Wilson, and A. Sadovnik. “Reinforcement learning for elimination of reentrant spiral waves in excitable media.” American Control Conference (ACC) 2020.
• J. Senter, T. Royalty, A. Steen and A. Sadovnik. “Unaligned Sequence Similarity Search Using Deep Learning.” IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2019.
• A. Sadovnik, W. Gharbi, T. Vu, A. Gallagher. “Finding your Lookalike: Measuring Face Similarity Rather than Face Identity.” Understanding Subjective Attributes of Data Workshop, Computer Vision and Pattern Recognition (CVPRW), 2018.
• T. Fuller, A. Sadovnik. “Image level color classification for colorblind assistance.” IEEE International Conference on Image Processing (ICIP) 2017.
• K. Peng, A. Sadovnik, A. Gallagher, and T. Chen. “Where Do Emotions Come From? Predicting The Emotion Stimuli Map.” IEEE International Conference on Image Processing (ICIP) 2016.
• K. Peng, A. Sadovnik, A. Gallagher, and T. Chen. “A Mixed Bag of Emotions: Model, Predict, and Transfer Emotion Distributions.” Computer Vision and Pattern Recognition (CVPR), 2015.
• A. Sadovnik, A. Gallagher, D. Parikh and T. Chen. “Spoken Attributes: Mixing Binary and Relative Attributes to Say the Right Thing”, International Conference on Computer Vision (ICCV), 2013.
• A. Sadovnik and T. Chen, “A Visual Dictionary Attack on Picture Passwords.”, IEEE International Conference on Image Processing (ICIP)2013.
• A. Sadovnik, A. Gallagher and T. Chen .“Not Everybody’s Special: Using Neighbors in Referring Expressions with Uncertain Attributes.”, The V&L Net Workshop on Language for Vision, Computer Vision and Pattern Recognition (CVPR), 2013.
• A. Sadovnik, A. Gallagher and T. Chen .“It’s Not Polite To Point: Describing People With Uncertain Attributes.”, Computer Vision and Pattern Recognition (CVPR), 2013.
• A. Sadovnik and T. Chen, “Hierarchical Object Groups for Scene Classification”, IEEE International Conference on Image Processing (ICIP)2012.
• A. Sadovnik, Y. Chiu, N. Snavely, S. Edelman and T. Chen. “Image Description with a Goal: Building Efficient Discriminating Expressions for Images”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012.
• A. Sadovnik, T. Chen. “Pictorial Structures for Object Recognition and Part Labeling in Drawings” IEEE International Conference on Image Processing (ICIP) 2011.