A Genetic Programming-PCA Hybrid Face Recognition Algorithm. - Behzad Bozorgtabar; Gholam Ali Rezai Rad (J. Signal Inf. Process., 2011)

An Improved NN Training Scheme Using Two-Stage LDA Features for Face Recognition. - Behzad Bozorgtabar; Roland Goecke (ICONIP (5), 2012)

Robust Visual Vocabulary Tracking Using Hierarchical Model Fusion. - Behzad Bozorgtabar; Roland Goecke (DICTA, 2013)

The Visual Object Tracking VOT2013 Challenge Results. - Matej Kristan; Roman P. Pflugfelder; Ales Leonardis; Jiri Matas; Fatih Porikli; Luka Cehovin; Georg Nebehay; Gustavo Fernández; Tomás Vojír; Adam Gatt; Ahmad Khajenezhad; Ahmed Salah El-Din; et al. (ICCV Workshops, 2013)

Adaptive Multiple Component Metric Learning for Robust Visual Tracking. - Behzad Bozorgtabar; Roland Goecke (ICONIP (3), 2013)

Enhanced Laplacian Group Sparse Learning with Lifespan Outlier Rejection for Visual Tracking. - Behzad Bozorgtabar; Roland Goecke (ACCV (5), 2014)

Robust Visual Tracking via Rank-Constrained Sparse Learning. - Behzad Bozorgtabar; Roland Goecke (DICTA, 2014)

Discriminative Multi-Task Sparse Learning for Robust Visual Tracking Using Conditional Random Field. - Behzad Bozorgtabar; Roland Goecke (DICTA, 2014)

Joint sparsity-based robust visual tracking. - Behzad Bozorgtabar; Roland Goecke (ICIP, 2014)

Multi-level action detection via learning latent structure. - Behzad Bozorgtabar; Roland Goecke (ICIP, 2015)

Sparse Coding Based Skin Lesion Segmentation Using Dynamic Rule-Based Refinement. - Behzad Bozorgtabar; Mani Abedini; Rahil Garnavi (MLMI@MICCAI, 2016)

Efficient multi-target tracking via discovering dense subgraphs. - Behzad Bozorgtabar; Roland Göcke (Comput. Vis. Image Underst., 2016)

Investigating deep side layers for skin lesion segmentation. - Behzad Bozorgtabar; Zongyuan Ge; Rajib Chakravorty; Mani Abedini; Sergey Demyanov; Rahil Garnavi (ISBI, 2017)

Tree-loss function for training neural networks on weakly-labelled datasets. - Sergey Demyanov; Rajib Chakravorty; Zongyuan Ge; SeyedBehzad Bozorgtabar; Michelle Pablo; Adrian Bowling; Rahil Garnavi (ISBI, 2017)

Exploiting local and generic features for accurate skin lesions classification using clinical and dermoscopy imaging. - Zongyuan Ge; Sergey Demyanov; Behzad Bozorgtabar; Mani Abedini; Rajib Chakravorty; Adrian Bowling; Rahil Garnavi (ISBI, 2017)

Image Super Resolution Using Generative Adversarial Networks and Local Saliency Maps for Retinal Image Analysis. - Dwarikanath Mahapatra; Behzad Bozorgtabar; Sajini Hewavitharanage; Rahil Garnavi (MICCAI (3), 2017)

Retinal Vasculature Segmentation Using Local Saliency Maps and Generative Adversarial Networks For Image Super Resolution. - Dwarikanath Mahapatra; Behzad Bozorgtabar (CoRR, 2017)

Skin lesion segmentation using deep convolution networks guided by local unsupervised learning. - Behzad Bozorgtabar; Suman Sedai; Pallab Kanti Roy; Rahil Garnavi (IBM J. Res. Dev., 2017)

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 001 (MICCAI (2), 2018)

Image-Level Attentional Context Modeling Using Nested-Graph Neural Networks. - Guillaume Jaume; Behzad Bozorgtabar; Hazim Kemal Ekenel; Jean-Philippe Thiran; Maria Gabrani (CoRR, 2018)

MSMCT: Multi-State Multi-Camera Tracker. - Behzad Bozorgtabar; Roland Goecke (IEEE Trans. Circuits Syst. Video Technol., 2018)

Exploring Factors for Improving Low Resolution Face Recognition. - Omid Abdollahi Aghdam; Behzad Bozorgtabar; Hazim Kemal Ekenel; Jean-Philippe Thiran (CVPR Workshops, 2019)

G2-VER: Geometry Guided Model Ensemble for Video-based Facial Expression Recognition. - Tanguy Albrici; Mandana Fasounaki; Saleh Bagher Salimi; Guillaume Vray; Behzad Bozorgtabar; Hazim Kemal Ekenel; Jean-Philippe Thiran (FG, 2019)

Using Photorealistic Face Synthesis and Domain Adaptation to Improve Facial Expression Analysis. - Behzad Bozorgtabar; Mohammad Saeed Rad; Hazim Kemal Ekenel; Jean-Philippe Thiran (FG, 2019)

SynDeMo: Synergistic Deep Feature Alignment for Joint Learning of Depth and Ego-Motion. - Behzad Bozorgtabar; Mohammad Saeed Rad; Dwarikanath Mahapatra; Jean-Philippe Thiran (ICCV, 2019)

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 (ICCV, 2019)

Image super-resolution using progressive generative adversarial networks for medical image analysis. - Dwarikanath Mahapatra; Behzad Bozorgtabar; Rahil Garnavi (Comput. Medical Imaging Graph., 2019)

Progressive Generative Adversarial Networks for Medical Image Super resolution. - Dwarikanath Mahapatra; Behzad Bozorgtabar (CoRR, 2019)

Revisiting Few-Shot Learning for Facial Expression Recognition. - Anca-Nicoleta Ciubotaru; Arnout Devos; Behzad Bozorgtabar; Jean-Philippe Thiran; Maria Gabrani (CoRR, 2019)

Informative sample generation using class aware generative adversarial networks for classification of chest Xrays. - Behzad Bozorgtabar; Dwarikanath Mahapatra; Hendrik von Teng; Alexander Pollinger; Lukas Ebner; Jean-Philippe Thiran; Mauricio Reyes 001 (Comput. Vis. Image Underst., 2019)

Learn to synthesize and synthesize to learn. - Behzad Bozorgtabar; Mohammad Saeed Rad; Hazim Kemal Ekenel; Jean-Philippe Thiran (Comput. Vis. Image Underst., 2019)

DermoNet: densely linked convolutional neural network for efficient skin lesion segmentation. - Saleh Baghersalimi; Behzad Bozorgtabar; Philippe Schmid-Saugeon; Hazim Kemal Ekenel; Jean-Philippe Thiran (EURASIP J. Image Video Process., 2019)

Pathological Retinal Region Segmentation From OCT Images Using Geometric Relation Based Augmentation. - Dwarikanath Mahapatra; Behzad Bozorgtabar; Ling Shao 001 (CVPR, 2020)

Divide-and-Rule: Self-Supervised Learning for Survival Analysis in Colorectal Cancer. - Christian Abbet; Inti Zlobec; Behzad Bozorgtabar; Jean-Philippe Thiran (MICCAI (5), 2020)

SALAD: Self-supervised Aggregation Learning for Anomaly Detection on X-Rays. - Behzad Bozorgtabar; Dwarikanath Mahapatra; Guillaume Vray; Jean-Philippe Thiran (MICCAI (1), 2020)

Structure Preserving Stain Normalization of Histopathology Images Using Self Supervised Semantic Guidance. - Dwarikanath Mahapatra; Behzad Bozorgtabar; Jean-Philippe Thiran; Ling Shao 001 (MICCAI (5), 2020)

Pathological Retinal Region Segmentation From OCT Images Using Geometric Relation Based Augmentation. - Dwarikanath Mahapatra; Behzad Bozorgtabar; Jean-Philippe Thiran; Ling Shao 001 (CoRR, 2020)

Benefitting 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 (CoRR, 2020)

Anomaly Detection on X-Rays Using Self-Supervised Aggregation Learning. - Behzad Bozorgtabar; Dwarikanath Mahapatra; Guillaume Vray; Jean-Philippe Thiran (CoRR, 2020)

Benefiting from multitask learning to improve single image super-resolution. - Mohammad Saeed Rad; Behzad Bozorgtabar; Claudiu Musat; Urs-Viktor Marti; Max Basler; Hazim Kemal Ekenel; Jean-Philippe Thiran (Neurocomputing, 2020)

ExprADA: Adversarial domain adaptation for facial expression analysis. - Behzad Bozorgtabar; Dwarikanath Mahapatra; Jean-Philippe Thiran (Pattern Recognit., 2020)

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 (CVPR, 2021)

SOoD: Self-Supervised Out-of-Distribution Detection Under Domain Shift for Multi-Class Colorectal Cancer Tissue Types. - Behzad Bozorgtabar; Guillaume Vray; Dwarikanath Mahapatra; Jean-Philippe Thiran (ICCVW, 2021)

Medical Image Classification Using Generalized Zero Shot Learning. - Dwarikanath Mahapatra; Behzad Bozorgtabar; Zongyuan Ge (ICCVW, 2021)

Test-Time Adaptation for Super-Resolution: You Only Need to Overfit on a Few More Images. - Mohammad Saeed Rad; Thomas Yu; Behzad Bozorgtabar; Jean-Philippe Thiran (ICCVW, 2021)

Self-Taught Semi-Supervised Anomaly Detection On Upper Limb X-Rays. - Antoine Spahr; Behzad Bozorgtabar; Jean-Philippe Thiran (ISBI, 2021)

Learning Whole-Slide Segmentation from Inexact and Incomplete Labels Using Tissue Graphs. - Valentin Anklin; Pushpak Pati; Guillaume Jaume; Behzad Bozorgtabar; Antonio Foncubierta-Rodríguez; Jean-Philippe Thiran; Mathilde Sibony; Maria Gabrani; Orcun Goksel (MICCAI (2), 2021)

Self-supervised Multimodal Generalized Zero Shot Learning for Gleason Grading. - Dwarikanath Mahapatra; Behzad Bozorgtabar; Shiba Kuanar; Zongyuan Ge (DART/FAIR@MICCAI, 2021)

Self-supervised Learning of Inter-label Geometric Relationships for Gleason Grade Segmentation. - Dwarikanath Mahapatra; Shiba Kuanar; Behzad Bozorgtabar; Zongyuan Ge (DART/FAIR@MICCAI, 2021)

Self-Rule to Adapt: Learning Generalized Features from Sparsely-Labeled Data Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Phenotyping. - Christian Abbet; Linda Studer; Andreas Fischer 002; Heather Dawson; Inti Zlobec; Behzad Bozorgtabar; Jean-Philippe Thiran (MIDL, 2021)

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 (WACV, 2021)

Self-Rule to Adapt: Generalized Multi-source Feature Learning Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Detection. - Christian Abbet; Linda Studer; Andreas Fischer 002; Heather Dawson; Inti Zlobec; Behzad Bozorgtabar; Jean-Philippe Thiran (CoRR, 2021)

Self-Attentive Spatial Adaptive Normalization for Cross-Modality Domain Adaptation. - Devavrat Tomar; Manana Lortkipanidze; Guillaume Vray; Behzad Bozorgtabar; Jean-Philippe Thiran (IEEE Trans. Medical Imaging, 2021)

Anomaly Detection and Localization Using Attention-Guided Synthetic Anomaly and Test-Time Adaptation. - Behzad Bozorgtabar; Dwarikanath Mahapatra; Jean-Philippe Thiran (BMVC, 2022)

Medical Image Super Resolution by Preserving Interpretable and Disentangled Features. - Dwarikanath Mahapatra; Behzad Bozorgtabar; Mauricio Reyes 001 (ECCV Workshops (7), 2022)

Unsupervised Domain Adaptation Using Feature Disentanglement and GCNs for Medical Image Classification. - Dwarikanath Mahapatra; Steven Korevaar; Behzad Bozorgtabar; Ruwan B. Tennakoon (ECCV Workshops (7), 2022)

OptTTA: Learnable Test-Time Augmentation for Source-Free Medical Image Segmentation Under Domain Shift. - Devavrat Tomar; Guillaume Vray; Jean-Philippe Thiran; Behzad Bozorgtabar (MIDL, 2022)

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 (WACV, 2022)

Self-rule to multi-adapt: Generalized multi-source feature learning using unsupervised domain adaptation for colorectal cancer tissue detection. - Christian Abbet; Linda Studer; Andreas Fischer 002; Heather Dawson; Inti Zlobec; Behzad Bozorgtabar; Jean-Philippe Thiran (Medical Image Anal., 2022)

Attention-Conditioned Augmentations for Self-Supervised Anomaly Detection and Localization. - Behzad Bozorgtabar; Dwarikanath Mahapatra (AAAI, 2023)

CrOC: Cross-View Online Clustering for Dense Visual Representation Learning. - Thomas Stegmüller; Tim Lebailly; Behzad Bozorgtabar; Tinne Tuytelaars; Jean-Philippe Thiran (CVPR, 2023)

TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation. - Devavrat Tomar; Guillaume Vray; Behzad Bozorgtabar; Jean-Philippe Thiran (CVPR, 2023)

Adaptive Similarity Bootstrapping for Self-Distillation based Representation Learning. - Tim Lebailly; Thomas Stegmüller; Behzad Bozorgtabar; Jean-Philippe Thiran; Tinne Tuytelaars (ICCV, 2023)

SaGTTA: Saliency Guided Test Time Augmentation for Medical Image Segmentation Across Vendor Domain Shift. - Suhang You; Devavrat Tomar; Behzad Bozorgtabar; Mauricio Reyes 001 (ISBI, 2023)

AMAE: Adaptation of Pre-trained Masked Autoencoder for Dual-Distribution Anomaly Detection in Chest X-Rays. - Behzad Bozorgtabar; Dwarikanath Mahapatra; Jean-Philippe Thiran (MICCAI (1), 2023)

Class Specific Feature Disentanglement and Text Embeddings for Multi-label Generalized Zero Shot CXR Classification. - Dwarikanath Mahapatra; Antonio José Jimeno-Yepes; Shiba Kuanar; Sudipta Roy 002; Behzad Bozorgtabar; Mauricio Reyes 001; Zongyuan Ge (MICCAI (2), 2023)

ScoreNet: Learning Non-Uniform Attention and Augmentation for Transformer-Based Histopathological Image Classification. - Thomas Stegmüller; Behzad Bozorgtabar; Antoine Spahr; Jean-Philippe Thiran (WACV, 2023)

Self-Supervised Learning-Based Cervical Cytology Diagnostics in Low-Data Regime and Low-Resource Setting. - Thomas Stegmüller; Christian Abbet; Behzad Bozorgtabar; Holly Clarke; Patrick Petignat; Pierre Vassilakos; Jean-Philippe Thiran (CoRR, 2023)

Adaptive Similarity Bootstrapping for Self-Distillation. - Tim Lebailly; Thomas Stegmüller; Behzad Bozorgtabar; Jean-Philippe Thiran; Tinne Tuytelaars (CoRR, 2023)

Source-Free Open-Set Domain Adaptation for Histopathological Images via Distilling Self-Supervised Vision Transformer. - Guillaume Vray; Devavrat Tomar; Behzad Bozorgtabar; Jean-Philippe Thiran (CoRR, 2023)

Weakly supervised joint whole-slide segmentation and classification in prostate cancer. - Pushpak Pati; Guillaume Jaume; Zeineb Ayadi; Kevin Thandiackal; Behzad Bozorgtabar; Maria Gabrani; Orcun Goksel (Medical Image Anal., 2023)

Combining Graph Transformers Based Multi-Label Active Learning and Informative Data Augmentation for Chest Xray Classification. - Dwarikanath Mahapatra; Behzad Bozorgtabar; Zongyuan Ge; Mauricio Reyes 001; Jean-Philippe Thiran (AAAI, 2024)

CrIBo: Self-Supervised Learning via Cross-Image Object-Level Bootstrapping. - Tim Lebailly; Thomas Stegmüller; Behzad Bozorgtabar; Jean-Philippe Thiran; Tinne Tuytelaars (ICLR, 2024)

Un-Mixing Test-Time Normalization Statistics: Combatting Label Temporal Correlation. - Devavrat Tomar; Guillaume Vray; Jean-Philippe Thiran; Behzad Bozorgtabar (ICLR, 2024)

GANDALF: Graph-based transformer and Data Augmentation Active Learning Framework with interpretable features for multi-label chest Xray classification. - Dwarikanath Mahapatra; Behzad Bozorgtabar; Zongyuan Ge; Mauricio Reyes 001 (Medical Image Anal., 2024)

ALFREDO: Active Learning with FeatuRe disEntangelement and DOmain adaptation for medical image classification. - Dwarikanath Mahapatra; Ruwan B. Tennakoon; Yasmeen George; Sudipta Roy 002; Behzad Bozorgtabar; Zongyuan Ge; Mauricio Reyes 001 (Medical Image Anal., 2024)

Self-supervised learning-based cervical cytology for the triage of HPV-positive women in resource-limited settings and low-data regime. - Thomas Stegmüller; Christian Abbet; Behzad Bozorgtabar; Holly Clarke; Patrick Petignat; Pierre Vassilakos; Jean-Philippe Thiran (Comput. Biol. Medicine, 2024)

Distill-SODA: Distilling Self-Supervised Vision Transformer for Source-Free Open-Set Domain Adaptation in Computational Pathology. - Guillaume Vray; Devavrat Tomar; Behzad Bozorgtabar; Jean-Philippe Thiran (IEEE Trans. Medical Imaging, 2024)

A Simple Framework for Open-Vocabulary Zero-Shot Segmentation. - Thomas Stegmüller; Tim Lebailly; Nikola Dukic; Behzad Bozorgtabar; Tinne Tuytelaars; Jean-Philippe Thiran (ICLR, 2025)

Slide-Level Prompt Learning with Vision Language Models for Few-Shot Multiple Instance Learning in Histopathology. - Devavrat Tomar; Guillaume Vray; Dwarikanath Mahapatra; Sudipta Roy 002; Jean-Philippe Thiran; Behzad Bozorgtabar (ISBI, 2025)

Self-Supervised Anomaly Segmentation via Diffusion Models with Dynamic Transformer UNet. - Komal Kumar; Snehashis Chakraborty; Dwarikanath Mahapatra; Behzad Bozorgtabar; Sudipta Roy 002 (WACV, 2025)

Robust semantic learning for precise medical image segmentation. - Snehashis Chakraborty; Komal Kumar; Ankan Deria; Dwarikanath Mahapatra; Behzad Bozorgtabar; Sudipta Roy 002 (Biomed. Signal Process. Control., 2025)

Multi-Label Generalized Zero Shot Chest X-Ray Classification by Combining Image-Text Information With Feature Disentanglement. - Dwarikanath Mahapatra; Antonio Jimeno-Yepes; Behzad Bozorgtabar; Sudipta Roy 002; Zongyuan Ge; Mauricio Reyes 001 (IEEE Trans. Medical Imaging, 2025)

Corrections to "Multi-Label Generalized Zero Shot Chest X-Ray Classification By Combining Image-Text Information With Feature Disentanglement". - Dwarikanath Mahapatra; Antonio Jimeno-Yepes; Behzad Bozorgtabar; Sudipta Roy 002; Zongyuan Ge; Mauricio Reyes 001 (IEEE Trans. Medical Imaging, 2025)

ReservoirTTA: Prolonged Test-time Adaptation for Evolving and Recurring Domains. - Guillaume Vray; Devavrat Tomar; Xufeng Gao; Jean-Philippe Thiran; Evan Shelhamer; Behzad Bozorgtabar (CoRR, 2025)

MuGa-VTON: Multi-Garment Virtual Try-On via Diffusion Transformers with Prompt Customization. - Ankan Deria; Dwarikanath Mahapatra; Behzad Bozorgtabar; Mohna Chakraborty; Snehashis Chakraborty; Sudipta Roy 002 (CoRR, 2025)