An Image Dataset of Vehicles Front Views and Parts for Vehicle Detection, Localization and Alignment Applications. - Peyman Rostami; Ali Taimori; Sam Sattarzadeh; Hatef Otroshi-Shahreza; Farokh Marvasti (IST, 2020)

Explaining Convolutional Neural Networks through Attribution-Based Input Sampling and Block-Wise Feature Aggregation. - Sam Sattarzadeh; Mahesh Sudhakar; Anthony Lem; Shervin Mehryar; Konstantinos N. Plataniotis; Jongseong Jang; Hyunwoo Kim; Yeonjeong Jeong; Sangmin Lee; Kyunghoon Bae (AAAI, 2021)

Integrated Grad-Cam: Sensitivity-Aware Visual Explanation of Deep Convolutional Networks Via Integrated Gradient-Based Scoring. - Sam Sattarzadeh; Mahesh Sudhakar; Konstantinos N. Plataniotis; Jongseong Jang; Yeonjeong Jeong; Hyunwoo Kim (ICASSP, 2021)

Ada-Sise: Adaptive Semantic Input Sampling for Efficient Explanation of Convolutional Neural Networks. - Mahesh Sudhakar; Sam Sattarzadeh; Konstantinos N. Plataniotis; Jongseong Jang; Yeonjeong Jeong; Hyunwoo Kim (ICASSP, 2021)

SVEA: A Small-scale Benchmark for Validating the Usability of Post-hoc Explainable AI Solutions in Image and Signal Recognition. - Sam Sattarzadeh; Mahesh Sudhakar; Konstantinos N. Plataniotis (ICCVW, 2021)

Mitigating Paucity of Data in Sinusoid Characterization Using Generative Synthetic Noise. - Sam Sattarzadeh; Shervin Manzuri Shalmani; Shervin Azad (CVPR Workshops, 2022)