| 2026 | AAAI | VALIANT: Prompt Instability for Active Learning in Black-Box Medical Imaging. | Dwarikanath Mahapatra, Behzad Bozorgtabar, Sudipta Roy, Imran Razzak, Mauricio Reyes |
| 2025 | ICLR | A Simple Framework for Open-Vocabulary Zero-Shot Segmentation. | Thomas Stegmller, Tim Lebailly, Nikola Dukic, Behzad Bozorgtabar, Tinne Tuytelaars, Jean-Philippe Thiran |
| 2025 | WACV | Self-Supervised Anomaly Segmentation via Diffusion Models with Dynamic Transformer UNet. | Komal Kumar, Snehashis Chakraborty, Dwarikanath Mahapatra, Behzad Bozorgtabar, Sudipta Roy |
| 2024 | AAAI | Combining Graph Transformers Based Multi-Label Active Learning and Informative Data Augmentation for Chest Xray Classification. | Dwarikanath Mahapatra, Behzad Bozorgtabar, Zongyuan Ge, Mauricio Reyes, Jean-Philippe Thiran |
| 2024 | ICLR | CrIBo: Self-Supervised Learning via Cross-Image Object-Level Bootstrapping. | Tim Lebailly, Thomas Stegmller, Behzad Bozorgtabar, Jean-Philippe Thiran, Tinne Tuytelaars |
| 2024 | ICLR | Un-Mixing Test-Time Normalization Statistics: Combatting Label Temporal Correlation. | Devavrat Tomar, Guillaume Vray, Jean-Philippe Thiran, Behzad Bozorgtabar |
| 2023 | AAAI | Attention-Conditioned Augmentations for Self-Supervised Anomaly Detection and Localization. | Behzad Bozorgtabar, Dwarikanath Mahapatra |
| 2023 | CVPR | CrOC: Cross-View Online Clustering for Dense Visual Representation Learning. | Thomas Stegmller, Tim Lebailly, Behzad Bozorgtabar, Tinne Tuytelaars, Jean-Philippe Thiran |
| 2023 | CVPR | TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation. | Devavrat Tomar, Guillaume Vray, Behzad Bozorgtabar, Jean-Philippe Thiran |
| 2023 | ICCV | Adaptive Similarity Bootstrapping for Self-Distillation based Representation Learning. | Tim Lebailly, Thomas Stegmller, Behzad Bozorgtabar, Jean-Philippe Thiran, Tinne Tuytelaars |
| 2023 | MICCAI | AMAE: Adaptation of Pre-trained Masked Autoencoder for Dual-Distribution Anomaly Detection in Chest X-Rays. | Behzad Bozorgtabar, Dwarikanath Mahapatra, Jean-Philippe Thiran |
| 2023 | MICCAI | Class Specific Feature Disentanglement and Text Embeddings for Multi-label Generalized Zero Shot CXR Classification. | Dwarikanath Mahapatra, Antonio Jos Jimeno-Yepes, Shiba Kuanar, Sudipta Roy, Behzad Bozorgtabar, Mauricio Reyes, Zongyuan Ge |
| 2023 | WACV | ScoreNet: Learning Non-Uniform Attention and Augmentation for Transformer-Based Histopathological Image Classification. | Thomas Stegmller, Behzad Bozorgtabar, Antoine Spahr, Jean-Philippe Thiran |
| 2022 | BMVC | Anomaly Detection and Localization Using Attention-Guided Synthetic Anomaly and Test-Time Adaptation. | Behzad Bozorgtabar, Dwarikanath Mahapatra, Jean-Philippe Thiran |
| 2022 | ECCV | Medical Image Super Resolution by Preserving Interpretable and Disentangled Features. | Dwarikanath Mahapatra, Behzad Bozorgtabar, Mauricio Reyes |
| 2022 | ECCV | Unsupervised Domain Adaptation Using Feature Disentanglement and GCNs for Medical Image Classification. | Dwarikanath Mahapatra, Steven Korevaar, Behzad Bozorgtabar, Ruwan B. Tennakoon |
| 2022 | WACV | Self-Supervised Generative Style Transfer for One-Shot Medical Image Segmentation. | Devavrat Tomar, Behzad Bozorgtabar, Manana Lortkipanidze, Guillaume Vray, Mohammad Saeed Rad, Jean-Philippe Thiran |
| 2021 | CVPR | Quantifying Explainers of Graph Neural Networks in Computational Pathology. | Guillaume Jaume, Pushpak Pati, Behzad Bozorgtabar, Antonio Foncubierta, Anna Maria Anniciello, Florinda Feroce, Tilman Rau, Jean-Philippe Thiran, Maria Gabrani, Orcun Goksel |
| 2021 | MICCAI | Learning Whole-Slide Segmentation from Inexact and Incomplete Labels Using Tissue Graphs. | Valentin Anklin, Pushpak Pati, Guillaume Jaume, Behzad Bozorgtabar, Antonio Foncubierta-Rodrguez, Jean-Philippe Thiran, Mathilde Sibony, Maria Gabrani, Orcun Goksel |
| 2021 | MICCAI | Self-supervised Multimodal Generalized Zero Shot Learning for Gleason Grading. | Dwarikanath Mahapatra, Behzad Bozorgtabar, Shiba Kuanar, Zongyuan Ge |
| 2021 | MICCAI | Self-supervised Learning of Inter-label Geometric Relationships for Gleason Grade Segmentation. | Dwarikanath Mahapatra, Shiba Kuanar, Behzad Bozorgtabar, Zongyuan Ge |
| 2021 | WACV | Benefiting from Bicubically Down-Sampled Images for Learning Real-World Image Super-Resolution. | Mohammad Saeed Rad, Thomas Yu, Claudiu Musat, Hazim Kemal Ekenel, Behzad Bozorgtabar, Jean-Philippe Thiran |
| 2020 | CVPR | Pathological Retinal Region Segmentation From OCT Images Using Geometric Relation Based Augmentation. | Dwarikanath Mahapatra, Behzad Bozorgtabar, Ling Shao |
| 2020 | MICCAI | Divide-and-Rule: Self-Supervised Learning for Survival Analysis in Colorectal Cancer. | Christian Abbet, Inti Zlobec, Behzad Bozorgtabar, Jean-Philippe Thiran |
| 2020 | MICCAI | SALAD: Self-supervised Aggregation Learning for Anomaly Detection on X-Rays. | Behzad Bozorgtabar, Dwarikanath Mahapatra, Guillaume Vray, Jean-Philippe Thiran |
| 2020 | MICCAI | Structure Preserving Stain Normalization of Histopathology Images Using Self Supervised Semantic Guidance. | Dwarikanath Mahapatra, Behzad Bozorgtabar, Jean-Philippe Thiran, Ling Shao |
| 2019 | CVPR | Exploring Factors for Improving Low Resolution Face Recognition. | Omid Abdollahi Aghdam, Behzad Bozorgtabar, Hazim Kemal Ekenel, Jean-Philippe Thiran |
| 2019 | ICCV | SynDeMo: Synergistic Deep Feature Alignment for Joint Learning of Depth and Ego-Motion. | Behzad Bozorgtabar, Mohammad Saeed Rad, Dwarikanath Mahapatra, Jean-Philippe Thiran |
| 2019 | ICCV | SROBB: Targeted Perceptual Loss for Single Image Super-Resolution. | Mohammad Saeed Rad, Behzad Bozorgtabar, Urs-Viktor Marti, Max Basler, Hazim Kemal Ekenel, Jean-Philippe Thiran |
| 2018 | MICCAI | Efficient Active Learning for Image Classification and Segmentation Using a Sample Selection and Conditional Generative Adversarial Network. | Dwarikanath Mahapatra, Behzad Bozorgtabar, Jean-Philippe Thiran, Mauricio Reyes |
| 2017 | MICCAI | Image Super Resolution Using Generative Adversarial Networks and Local Saliency Maps for Retinal Image Analysis. | Dwarikanath Mahapatra, Behzad Bozorgtabar, Sajini Hewavitharanage, Rahil Garnavi |
| 2016 | MICCAI | Sparse Coding Based Skin Lesion Segmentation Using Dynamic Rule-Based Refinement. | Behzad Bozorgtabar, Mani Abedini, Rahil Garnavi |
| 2015 | ICIP | Multi-level action detection via learning latent structure. | Behzad Bozorgtabar, Roland Goecke |
| 2014 | ACCV | Enhanced Laplacian Group Sparse Learning with Lifespan Outlier Rejection for Visual Tracking. | Behzad Bozorgtabar, Roland Goecke |
| 2014 | DICTA | Robust Visual Tracking via Rank-Constrained Sparse Learning. | Behzad Bozorgtabar, Roland Goecke |
| 2014 | DICTA | Discriminative Multi-Task Sparse Learning for Robust Visual Tracking Using Conditional Random Field. | Behzad Bozorgtabar, Roland Goecke |
| 2014 | ICIP | Joint sparsity-based robust visual tracking. | Behzad Bozorgtabar, Roland Goecke |
| 2013 | DICTA | Robust Visual Vocabulary Tracking Using Hierarchical Model Fusion. | Behzad Bozorgtabar, Roland Goecke |
| 2013 | ICONIP | Adaptive Multiple Component Metric Learning for Robust Visual Tracking. | Behzad Bozorgtabar, Roland Goecke |
| 2012 | ICONIP | An Improved NN Training Scheme Using Two-Stage LDA Features for Face Recognition. | Behzad Bozorgtabar, Roland Goecke |