Carmichael, Zachariah

7 publications

WACV 2024 Benchmark Generation Framework with Customizable Distortions for Image Classifier Robustness Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Zachariah Carmichael, Vineet Gundecha, Sahand Ghorbanpour, Ricardo Luna Gutierrez, Antonio Guillen, Avisek Naug

WACV 2024 Pixel-Grounded Prototypical Part Networks Zachariah Carmichael, Suhas Lohit, Anoop Cherian, Michael J. Jones, Walter J. Scheirer

ECCV 2024 This Probably Looks Exactly like That: An Invertible Prototypical Network Zachariah Carmichael, Timothy P Redgrave, Daniel Gonzalez Cedre, Walter Scheirer

NeurIPSW 2023 How Well Do Feature-Additive Explainers Explain Feature-Additive Predictors? Zachariah Carmichael, Walter Scheirer

WACV 2023 Motif Mining: Finding and Summarizing Remixed Image Content William Theisen, Daniel Gonzalez Cedre, Zachariah Carmichael, Daniel Moreira, Tim Weninger, Walter Scheirer

AAAI 2023 Unfooling Perturbation-Based Post Hoc Explainers Zachariah Carmichael, Walter J. Scheirer

CVPRW 2021 ALPS: Adaptive Quantization of Deep Neural Networks with GeneraLized PositS Hamed Fatemi Langroudi, Vedant Karia, Zachariah Carmichael, Abdullah M. Zyarah, Tej Pandit, John L. Gustafson, Dhireesha Kudithipudi