Concept Arithmetics for Circumventing Concept Inhibition in Diffusion Models
Petsiuk V., Saenko K.
In: European Conference on Computer Vision (ECCV) 2024. oral, best paper honorable mention
webpage paper bibtex 

@inproceedings{petsiuk2024concept,
    title        = {Concept Arithmetics for Circumventing Concept Inhibition in Diffusion Models},
    author       = {Petsiuk, Vitali and Saenko, Kate},
    booktitle    = {European Conference on Computer Vision},
    year         = {2024},
    organization = {Springer}
}

Human Evaluation of Text-to-Image Models on a Multi-Task Benchmark
Petsiuk, Siemenn, Surbehera, Chin, Tyser, Hunter, Raghavan, Plummer, Kerret, Buonassisi, Saenko, Solar-Lezama, Drori
In: NeurIPS HEGM Workshop 2022. oral
paper bibtex 

@inproceedings{petsiuk2022human,
    title     = {Human evaluation of text-to-image models on a multi-task benchmark},
    author    = {Petsiuk, Vitali and 
        Siemenn, Alexander E and 
        Surbehera, Saisamrit and 
        Chin, Zad and 
        Tyser, Keith and 
        Hunter, Gregory and 
        Raghavan, Arvind and 
        Hicke, Yann and 
        Plummer, Bryan A and 
        Kerret, Ori and others},
    booktitle = {NeurIPS 2022 Workshops: New Orleans, USA},
    year      = {2022}
}

Beyond the Visual Analysis of Deep Model Saliency.
Bargal S.A., Zunino A., Petsiuk V., Zhang J., Murino V., Sclaroff S., Saenko K.
In: Intl Workshop on Extending Explainable AI Beyond Deep Models and Classifiers, 2022.
paper bibtex 

@inproceedings{bargal2022beyond,
    title        = {Beyond the Visual Analysis of Deep Model Saliency},
    author       = {Bargal, Sarah Adel and 
        Zunino, Andrea and 
        Petsiuk, Vitali and 
        Zhang, Jianming and 
        Murino, Vittorio and 
        Sclaroff, Stan and 
        Saenko, Kate},
    booktitle    = {International Workshop on Extending Explainable AI Beyond Deep Models and Classifiers},
    pages        = {255--269},
    year         = {2022},
    organization = {Springer}
}

Black-box explanation of object detectors via saliency maps
Petsiuk V., Jain R., Manjunatha V., Morariu V.I., Mehra A., Ordonez V., Saenko K.
In: Computer Vision and Pattern Recognition (CVPR) 2021. oral
webpage paper bibtex 

@inproceedings{Petsiuk2021drise,
    author    = {Vitali Petsiuk and
                    Rajiv Jain and 
                    Varun Manjunatha and
                    Vlad I. Morariu and
                    Ashutosh Mehra and
                    Vicente Ordonez and
                    Kate Saenko},
    title     = {Black-Box Explanation of Object Detectors via Saliency Maps},
    booktitle = {Computer Vision and Pattern Recognition (CVPR)},
    year      = {2021}
}

Guided Zoom: Zooming into Network Evidence to Refine Fine-grained Model Decisions
Bargal S.A., Zunino A., Petsiuk V., Zhang J., Saenko K., Murino V., Sclaroff S.
In: Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2021. IEEE
paper github bibtex 

@article{bargal2021guidedzoom,
    author   = {Sarah Adel Bargal and
        Andrea Zunino and
        Vitali Petsiuk and
        Jianming Zhang and
        Kate Saenko and
        Vittorio Murino and
        Stan Sclaroff},
    title    = {Guided Zoom: Zooming into Network Evidence to Refine Fine-grained Model Decisions}, 
    journal  = {IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)}, 
    year     = {2021}
}

Why do these match? explaining the behavior of image similarity models
Plummer B.A., Vasileva M.I., Petsiuk V., Saenko K., Forsyth D.
In: European Conference on Computer Vision (ECCV) 2020.
paper bibtex 

@inproceedings{plummerSimilarityExplanations2020,
    author    = {Bryan A. Plummer and
                    Mariya I. Vasileva and
                    Vitali Petsiuk and
                    Kate Saenko and
                    David A. Forsyth},
    title     = {Why Do These Match? Explaining the Behavior of Image Similarity Models},
    booktitle = {The European Conference on Computer Vision (ECCV)},
    year      = {2020}
}

Guided Zoom: Questioning Network Evidence for Fine-grained Classification
Bargal S.A., Zunino A., Petsiuk V., Zhang J., Saenko K., Murino V., Sclaroff S.
In: British Machine Vision Conference (BMVC) 2019. oral
paper github bibtex 

@inproceedings{bargal2019guidedzoom,
    author    = {Sarah Adel Bargal and
                    Andrea Zunino and
                    Vitali Petsiuk and
                    Jianming Zhang and
                    Kate Saenko and
                    Vittorio Murino and
                    Stan Sclaroff},
    title     = {Guided Zoom: Questioning Network Evidence for Fine-grained Classification},
    booktitle = {British Machine Vision Conference (BMVC)},
    year      = {2019},
    url       = {https://bmvc2019.org/wp-content/uploads/papers/0061-paper.pdf},
}

RISE: Randomized Input Sampling for Explanation of Black-box Models
Petsiuk V., Das A. and Saenko K.
In: British Machine Vision Conference (BMVC) 2018. oral webpage paper github bibtex 

@inproceedings{Petsiuk2018rise,
    author    = {Vitali Petsiuk and
                Abir Das and
                Kate Saenko},
    title     = {RISE: Randomized Input Sampling for Explanation of Black-box Models},
    booktitle = {British Machine Vision Conference (BMVC)},
    year      = {2018},
    url       = {http://bmvc2018.org/contents/papers/1064.pdf},
}