The 4th Explainable AI for Computer Vision (XAI4CV) Workshop


ScoreCAM++: Gated Score-Weighted Visual Explanations for CNNs
Soham Mitra,
Atri Sukul,
Swalpa Kumar Roy,
Pravendra Singh,
Vinay Kumar Verma
[pdf] [supp]
[bibtex]
@InProceedings{Mitra_2025_CVPR, author = {Mitra, Soham and Sukul, Atri and Roy, Swalpa Kumar and Singh, Pravendra and Verma, Vinay Kumar}, title = {ScoreCAM++: Gated Score-Weighted Visual Explanations for CNNs}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {2700-2709} }

Towards Synthetic Concept Activation Vectors via Generative Models
Riccardo Campi,
Santiago Borrego,
Antonio De Santis,
Matteo Bianchi,
Andrea Tocchetti,
Marco Brambilla
[pdf] [supp]
[bibtex]
@InProceedings{Campi_2025_CVPR, author = {Campi, Riccardo and Borrego, Santiago and De Santis, Antonio and Bianchi, Matteo and Tocchetti, Andrea and Brambilla, Marco}, title = {Towards Synthetic Concept Activation Vectors via Generative Models}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {2720-2728} }

gMINT: Gradiant-based Membership Inference Test applied to Image Models.
Daniel DeAlcala,
Aythami Morales,
Julian Fierrez,
Gonzalo Mancera,
Ruben Tolosana
[pdf]
[bibtex]
@InProceedings{DeAlcala_2025_CVPR, author = {DeAlcala, Daniel and Morales, Aythami and Fierrez, Julian and Mancera, Gonzalo and Tolosana, Ruben}, title = {gMINT: Gradiant-based Membership Inference Test applied to Image Models.}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {2781-2790} }

Disentangling Visual Transformers: Patch-level Interpretability for Image Classification
Guillaume Jeanneret,
Loic Simon,
Frederic Jurie
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Jeanneret_2025_CVPR, author = {Jeanneret, Guillaume and Simon, Loic and Jurie, Frederic}, title = {Disentangling Visual Transformers: Patch-level Interpretability for Image Classification}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {2679-2689} }

PCBEAR: Pose Concept Bottleneck for Explainable Action Recognition
Jongseo Lee,
Wooil Lee,
Gyeong-Moon Park,
Seong Tae Kim,
Jinwoo Choi
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lee_2025_CVPR, author = {Lee, Jongseo and Lee, Wooil and Park, Gyeong-Moon and Kim, Seong Tae and Choi, Jinwoo}, title = {PCBEAR: Pose Concept Bottleneck for Explainable Action Recognition}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {2690-2699} }

Rel-SA: Alzheimer's Disease Detection using Relevance-augmented Self Attention by Inducing Domain Priors in Vision Transformers
Madhumitha V,
Sunayna Padhye,
Shanawaj S Madarkar,
Susmit Agrawal,
Konda Reddy Mopuri
[pdf] [supp]
[bibtex]
@InProceedings{V_2025_CVPR, author = {V, Madhumitha and Padhye, Sunayna and Madarkar, Shanawaj S and Agrawal, Susmit and Mopuri, Konda Reddy}, title = {Rel-SA: Alzheimer's Disease Detection using Relevance-augmented Self Attention by Inducing Domain Priors in Vision Transformers}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {2801-2810} }

Explaining 3D Point Cloud Semantic Segmentation Models Through Adversarial Attacks
Jorge Francisco Ciprián-Sánchez,
Josafat-Mattias Burmeister,
Rico Richter,
Jürgen Döllner
[pdf] [supp]
[bibtex]
@InProceedings{Ciprian-Sanchez_2025_CVPR, author = {Cipri\'an-S\'anchez, Jorge Francisco and Burmeister, Josafat-Mattias and Richter, Rico and D\"ollner, J\"urgen}, title = {Explaining 3D Point Cloud Semantic Segmentation Models Through Adversarial Attacks}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {2791-2800} }

X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models
Valentina Bazyleva,
Nicolò Bonettini,
Gaurav Bharaj
[pdf] [supp]
[bibtex]
@InProceedings{Bazyleva_2025_CVPR, author = {Bazyleva, Valentina and Bonettini, Nicol\`o and Bharaj, Gaurav}, title = {X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {2729-2739} }

PoseGuru: Landmarks for Explainable Pose Correction using Exemplar-Guided Algorithmic Recourse
Bhat Dittakavi,
Bharathi Callepalli,
Swarnim Maheshwari,
Vineeth Balasubramanian
[pdf] [supp]
[bibtex]
@InProceedings{Dittakavi_2025_CVPR, author = {Dittakavi, Bhat and Callepalli, Bharathi and Maheshwari, Swarnim and Balasubramanian, Vineeth}, title = {PoseGuru: Landmarks for Explainable Pose Correction using Exemplar-Guided Algorithmic Recourse}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {2740-2749} }

Visually Interpretable Subtask Reasoning for Visual Question Answering
Yu Cheng,
Arushi Goel,
Hakan Bilen
[pdf] [arXiv]
[bibtex]
@InProceedings{Cheng_2025_CVPR, author = {Cheng, Yu and Goel, Arushi and Bilen, Hakan}, title = {Visually Interpretable Subtask Reasoning for Visual Question Answering}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {2760-2780} }

How does the Machine Perceive Depth for Indoor Single Images with CNN?
Yihong Wu,
Yuwen Heng,
Mahesan Niranjan,
Hansung Kim
[pdf] [supp]
[bibtex]
@InProceedings{Wu_2025_CVPR, author = {Wu, Yihong and Heng, Yuwen and Niranjan, Mahesan and Kim, Hansung}, title = {How does the Machine Perceive Depth for Indoor Single Images with CNN?}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {2710-2719} }

ExaM: Unsupervised Concept-Based Representation Learning to Better Explain Models in Vision Tasks
Maguelonne Heritier,
Djebril Mekhazni,
Cedric Leblond-Menard,
Benoit Godbout,
Nathan Guilbaud,
Mahdi Alehdaghi,
Eric Granger
[pdf] [supp]
[bibtex]
@InProceedings{Heritier_2025_CVPR, author = {Heritier, Maguelonne and Mekhazni, Djebril and Leblond-Menard, Cedric and Godbout, Benoit and Guilbaud, Nathan and Alehdaghi, Mahdi and Granger, Eric}, title = {ExaM: Unsupervised Concept-Based Representation Learning to Better Explain Models in Vision Tasks}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {2750-2759} }