Vitali Petsiuk

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 13

Top Topics

Image Similarity

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Vitali Petsiuk, Kate Saenko
Concept Arithmetics for Circumventing Concept Inhibition in Diffusion Models. CoRR (2024)
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, Armando Solar-Lezama, Iddo Drori
Human Evaluation of Text-to-Image Models on a Multi-Task Benchmark. CoRR (2022)
Sarah Adel Bargal, Andrea Zunino, Vitali Petsiuk, Jianming Zhang, Kate Saenko, Vittorio Murino, Stan Sclaroff
Guided Zoom: Zooming into Network Evidence to Refine Fine-Grained Model Decisions. IEEE Trans. Pattern Anal. Mach. Intell. 43 (11) (2021)
Vitali Petsiuk, Rajiv Jain, Varun Manjunatha, Vlad I. Morariu, Ashutosh Mehra, Vicente Ordonez, Kate Saenko
Black-Box Explanation of Object Detectors via Saliency Maps. CVPR (2021)
Bryan A. Plummer, Mariya I. Vasileva, Vitali Petsiuk, Kate Saenko, David A. Forsyth
Why Do These Match? Explaining the Behavior of Image Similarity Models. ECCV (11) (2020)
Vitali Petsiuk, Rajiv Jain, Varun Manjunatha, Vlad I. Morariu, Ashutosh Mehra, Vicente Ordonez, Kate Saenko
Black-box Explanation of Object Detectors via Saliency Maps. CoRR (2020)
Sarah Adel Bargal, Andrea Zunino, Vitali Petsiuk, Jianming Zhang, Vittorio Murino, Stan Sclaroff, Kate Saenko
Beyond the Visual Analysis of Deep Model Saliency. xxAI@ICML (2020)
Sarah Adel Bargal, Andrea Zunino, Vitali Petsiuk, Jianming Zhang, Kate Saenko, Vittorio Murino, Stan Sclaroff
Are CNN Predictions based on Reasonable Evidence? CVPR Workshops (2019)
Bryan A. Plummer, Mariya I. Vasileva, Vitali Petsiuk, Kate Saenko, David A. Forsyth
Why do These Match? Explaining the Behavior of Image Similarity Models. CoRR (2019)
Sarah Adel Bargal, Andrea Zunino, Vitali Petsiuk, Jianming Zhang, Kate Saenko, Vittorio Murino, Stan Sclaroff
Guided Zoom: Questioning Network Evidence for Fine-grained Classification. BMVC (2019)
Vitali Petsiuk, Abir Das, Kate Saenko
RISE: Randomized Input Sampling for Explanation of Black-box Models. CoRR (2018)
Sarah Adel Bargal, Andrea Zunino, Vitali Petsiuk, Jianming Zhang, Kate Saenko, Vittorio Murino, Stan Sclaroff
Guided Zoom: Questioning Network Evidence for Fine-grained Classification. CoRR (2018)
Vitali Petsiuk, Abir Das, Kate Saenko
RISE: Randomized Input Sampling for Explanation of Black-box Models. BMVC (2018)