RISE: Randomized Input Sampling for Explanation of Black-box Models. - Vitali Petsiuk; Abir Das; Kate Saenko (BMVC, 2018)

Guided Zoom: Questioning Network Evidence for Fine-grained Classification. - Sarah Adel Bargal; Andrea Zunino; Vitali Petsiuk; Jianming Zhang 001; Kate Saenko; Vittorio Murino; Stan Sclaroff (BMVC, 2019)

Are CNN Predictions based on Reasonable Evidence? - Sarah Adel Bargal; Andrea Zunino; Vitali Petsiuk; Jianming Zhang 001; Kate Saenko; Vittorio Murino; Stan Sclaroff (CVPR Workshops, 2019)

Why Do These Match? Explaining the Behavior of Image Similarity Models. - Bryan A. Plummer; Mariya I. Vasileva; Vitali Petsiuk; Kate Saenko; David A. Forsyth (ECCV (11), 2020)

Beyond the Visual Analysis of Deep Model Saliency. - Sarah Adel Bargal; Andrea Zunino; Vitali Petsiuk; Jianming Zhang 001; Vittorio Murino; Stan Sclaroff; Kate Saenko (xxAI@ICML, 2020)

Black-Box Explanation of Object Detectors via Saliency Maps. - Vitali Petsiuk; Rajiv Jain; Varun Manjunatha; Vlad I. Morariu; Ashutosh Mehra 002; Vicente Ordonez; Kate Saenko (CVPR, 2021)

Guided Zoom: Zooming into Network Evidence to Refine Fine-Grained Model Decisions. - Sarah Adel Bargal; Andrea Zunino; Vitali Petsiuk; Jianming Zhang 001; Kate Saenko; Vittorio Murino; Stan Sclaroff (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Human Evaluation of Text-to-Image Models on a Multi-Task Benchmark. - Vitali Petsiuk; Alexander E. Siemenn; Saisamrit Surbehera; Zad Chin; Keith Tyser; Gregory Hunter; Arvind Raghavan; Yann Hicke; Bryan A. Plummer; Ori Kerret; Tonio Buonassisi; Kate Saenko; et al. (CoRR, 2022)

Concept Arithmetics for Circumventing Concept Inhibition in Diffusion Models. - Vitali Petsiuk; Kate Saenko (ECCV (88), 2024)