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Behzad Bozorgtabar
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2020 – today
- 2024
- [j17]Thomas Stegmüller, Christian Abbet
, Behzad Bozorgtabar, Holly Clarke, Patrick Petignat, Pierre Vassilakos, Jean-Philippe Thiran:
Self-supervised learning-based cervical cytology for the triage of HPV-positive women in resource-limited settings and low-data regime. Comput. Biol. Medicine 169: 107809 (2024) - [j16]Dwarikanath Mahapatra
GANDALF: Graph-based transformer and Data Augmentation Active Learning Framework with interpretable features for multi-label chest Xray classification. Medical Image Anal. 93: 103075 (2024) - [j15]Dwarikanath Mahapatra
ALFREDO: Active Learning with FeatuRe disEntangelement and DOmain adaptation for medical image classification. Medical Image Anal. 97: 103261 (2024) - [j14]Guillaume Vray
Distill-SODA: Distilling Self-Supervised Vision Transformer for Source-Free Open-Set Domain Adaptation in Computational Pathology. IEEE Trans. Medical Imaging 43(5): 2021-2032 (2024) - [c50]Dwarikanath Mahapatra, Behzad Bozorgtabar, Zongyuan Ge, Mauricio Reyes, Jean-Philippe Thiran:
Combining Graph Transformers Based Multi-Label Active Learning and Informative Data Augmentation for Chest Xray Classification. AAAI 2024: 21378-21386 - [c49]Tim Lebailly, Thomas Stegmüller, Behzad Bozorgtabar, Jean-Philippe Thiran, Tinne Tuytelaars:
CrIBo: Self-Supervised Learning via Cross-Image Object-Level Bootstrapping. ICLR 2024 - [c48]Devavrat Tomar, Guillaume Vray, Jean-Philippe Thiran, Behzad Bozorgtabar:
Un-Mixing Test-Time Normalization Statistics: Combatting Label Temporal Correlation. ICLR 2024 - [i34]Devavrat Tomar, Guillaume Vray, Jean-Philippe Thiran, Behzad Bozorgtabar:
Un-Mixing Test-Time Normalization Statistics: Combatting Label Temporal Correlation. CoRR abs/2401.08328 (2024) - [i33]Thomas Stegmüller, Tim Lebailly, Nikola Dukic, Behzad Bozorgtabar, Tinne Tuytelaars, Jean-Philippe Thiran:
A Simple Framework for Open-Vocabulary Zero-Shot Segmentation. CoRR abs/2406.16085 (2024) - 2023
- [j13]Pushpak Pati
Weakly supervised joint whole-slide segmentation and classification in prostate cancer. Medical Image Anal. 89: 102915 (2023) - [c47]Behzad Bozorgtabar, Dwarikanath Mahapatra:
Attention-Conditioned Augmentations for Self-Supervised Anomaly Detection and Localization. AAAI 2023: 14720-14728 - [c46]Thomas Stegmüller, Tim Lebailly, Behzad Bozorgtabar, Tinne Tuytelaars
CrOC: Cross-View Online Clustering for Dense Visual Representation Learning. CVPR 2023: 7000-7009 - [c45]Devavrat Tomar
TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation. CVPR 2023: 20341-20350 - [c44]Tim Lebailly, Thomas Stegmüller, Behzad Bozorgtabar, Jean-Philippe Thiran, Tinne Tuytelaars
Adaptive Similarity Bootstrapping for Self-Distillation based Representation Learning. ICCV 2023: 16459-16468 - [c43]Suhang You, Devavrat Tomar, Behzad Bozorgtabar, Mauricio Reyes:
SaGTTA: Saliency Guided Test Time Augmentation for Medical Image Segmentation Across Vendor Domain Shift. ISBI 2023: 1-4 - [c42]Behzad Bozorgtabar
AMAE: Adaptation of Pre-trained Masked Autoencoder for Dual-Distribution Anomaly Detection in Chest X-Rays. MICCAI (1) 2023: 195-205 - [c41]Dwarikanath Mahapatra, Antonio José Jimeno-Yepes, Shiba Kuanar, Sudipta Roy, Behzad Bozorgtabar, Mauricio Reyes, Zongyuan Ge:
Class Specific Feature Disentanglement and Text Embeddings for Multi-label Generalized Zero Shot CXR Classification. MICCAI (2) 2023: 276-286 - [c40]Thomas Stegmüller, Behzad Bozorgtabar
ScoreNet: Learning Non-Uniform Attention and Augmentation for Transformer-Based Histopathological Image Classification. WACV 2023: 6159-6168 - [i32]Pushpak Pati, Guillaume Jaume, Zeineb Ayadi, Kevin Thandiackal, Behzad Bozorgtabar
Weakly Supervised Joint Whole-Slide Segmentation and Classification in Prostate Cancer. CoRR abs/2301.02933 (2023) - [i31]Thomas Stegmüller, Christian Abbet, Behzad Bozorgtabar, Holly Clarke, Patrick Petignat, Pierre Vassilakos, Jean-Philippe Thiran:
Self-Supervised Learning-Based Cervical Cytology Diagnostics in Low-Data Regime and Low-Resource Setting. CoRR abs/2302.05195 (2023) - [i30]Devavrat Tomar, Guillaume Vray, Behzad Bozorgtabar
TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation. CoRR abs/2303.09870 (2023) - [i29]Thomas Stegmüller, Tim Lebailly, Behzad Bozorgtabar
CrOC: Cross-View Online Clustering for Dense Visual Representation Learning. CoRR abs/2303.13245 (2023) - [i28]Tim Lebailly, Thomas Stegmüller, Behzad Bozorgtabar
Adaptive Similarity Bootstrapping for Self-Distillation. CoRR abs/2303.13606 (2023) - [i27]Guillaume Vray, Devavrat Tomar, Behzad Bozorgtabar, Jean-Philippe Thiran:
Source-Free Open-Set Domain Adaptation for Histopathological Images via Distilling Self-Supervised Vision Transformer. CoRR abs/2307.04596 (2023) - [i26]Behzad Bozorgtabar, Dwarikanath Mahapatra, Jean-Philippe Thiran:
AMAE: Adaptation of Pre-Trained Masked Autoencoder for Dual-Distribution Anomaly Detection in Chest X-Rays. CoRR abs/2307.12721 (2023) - [i25]Tim Lebailly, Thomas Stegmüller, Behzad Bozorgtabar, Jean-Philippe Thiran, Tinne Tuytelaars:
CrIBo: Self-Supervised Learning via Cross-Image Object-Level Bootstrapping. CoRR abs/2310.07855 (2023) - 2022
- [j12]Christian Abbet
Self-rule to multi-adapt: Generalized multi-source feature learning using unsupervised domain adaptation for colorectal cancer tissue detection. Medical Image Anal. 79: 102473 (2022) - [c39]Behzad Bozorgtabar, Dwarikanath Mahapatra, Jean-Philippe Thiran:
Anomaly Detection and Localization Using Attention-Guided Synthetic Anomaly and Test-Time Adaptation. BMVC 2022: 472 - [c38]Dwarikanath Mahapatra, Behzad Bozorgtabar
Medical Image Super Resolution by Preserving Interpretable and Disentangled Features. ECCV Workshops (7) 2022: 709-721 - [c37]Dwarikanath Mahapatra, Steven Korevaar
Unsupervised Domain Adaptation Using Feature Disentanglement and GCNs for Medical Image Classification. ECCV Workshops (7) 2022: 735-748 - [c36]Devavrat Tomar, Guillaume Vray, Jean-Philippe Thiran, Behzad Bozorgtabar
OptTTA: Learnable Test-Time Augmentation for Source-Free Medical Image Segmentation Under Domain Shift. MIDL 2022: 1192-1217 - [c35]Devavrat Tomar, Behzad Bozorgtabar
Self-Supervised Generative Style Transfer for One-Shot Medical Image Segmentation. WACV 2022: 1737-1747 - [i24]Thomas Stegmüller, Antoine Spahr, Behzad Bozorgtabar, Jean-Philippe Thiran:
ScoreNet: Learning Non-Uniform Attention and Augmentation for Transformer-Based Histopathological Image Classification. CoRR abs/2202.07570 (2022) - 2021
- [j11]Devavrat Tomar
Self-Attentive Spatial Adaptive Normalization for Cross-Modality Domain Adaptation. IEEE Trans. Medical Imaging 40(10): 2926-2938 (2021) - [c34]Guillaume Jaume, Pushpak Pati, Behzad Bozorgtabar
Quantifying Explainers of Graph Neural Networks in Computational Pathology. CVPR 2021: 8106-8116 - [c33]Mohammad Saeed Rad, Thomas Yu, Behzad Bozorgtabar
Test-Time Adaptation for Super-Resolution: You Only Need to Overfit on a Few More Images. ICCVW 2021: 1845-1854 - [c32]Behzad Bozorgtabar
SOoD: Self-Supervised Out-of-Distribution Detection Under Domain Shift for Multi-Class Colorectal Cancer Tissue Types. ICCVW 2021: 3317-3326 - [c31]Dwarikanath Mahapatra, Behzad Bozorgtabar
Medical Image Classification Using Generalized Zero Shot Learning. ICCVW 2021: 3337-3346 - [c30]Antoine Spahr, Behzad Bozorgtabar
Self-Taught Semi-Supervised Anomaly Detection On Upper Limb X-Rays. ISBI 2021: 1632-1636 - [c29]Dwarikanath Mahapatra, Behzad Bozorgtabar
Self-supervised Multimodal Generalized Zero Shot Learning for Gleason Grading. DART/FAIR@MICCAI 2021: 46-56 - [c28]Dwarikanath Mahapatra, Shiba Kuanar, Behzad Bozorgtabar
Self-supervised Learning of Inter-label Geometric Relationships for Gleason Grade Segmentation. DART/FAIR@MICCAI 2021: 57-67 - [c27]Valentin Anklin, Pushpak Pati, Guillaume Jaume, Behzad Bozorgtabar
Learning Whole-Slide Segmentation from Inexact and Incomplete Labels Using Tissue Graphs. MICCAI (2) 2021: 636-646 - [c26]Christian Abbet, Linda Studer, Andreas Fischer, Heather Dawson, Inti Zlobec, Behzad Bozorgtabar, Jean-Philippe Thiran:
Self-Rule to Adapt: Learning Generalized Features from Sparsely-Labeled Data Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Phenotyping. MIDL 2021: 5-21 - [c25]Mohammad Saeed Rad, Thomas Yu, Claudiu Musat, Hazim Kemal Ekenel, Behzad Bozorgtabar
Benefiting from Bicubically Down-Sampled Images for Learning Real-World Image Super-Resolution. WACV 2021: 1589-1598 - [i23]Antoine Spahr, Behzad Bozorgtabar, Jean-Philippe Thiran:
Self-Taught Semi-Supervised Anomaly Detection on Upper Limb X-rays. CoRR abs/2102.09895 (2021) - [i22]Valentin Anklin, Pushpak Pati, Guillaume Jaume, Behzad Bozorgtabar, Antonio Foncubierta-Rodríguez, Jean-Philippe Thiran, Mathilde Sibony, Maria Gabrani, Orcun Goksel:
Learning Whole-Slide Segmentation from Inexact and Incomplete Labels using Tissue Graphs. CoRR abs/2103.03129 (2021) - [i21]Devavrat Tomar, Manana Lortkipanidze, Guillaume Vray, Behzad Bozorgtabar, Jean-Philippe Thiran:
Self-Attentive Spatial Adaptive Normalization for Cross-Modality Domain Adaptation. CoRR abs/2103.03781 (2021) - [i20]Mohammad Saeed Rad, Thomas Yu, Behzad Bozorgtabar, Jean-Philippe Thiran:
Test-Time Adaptation for Super-Resolution: You Only Need to Overfit on a Few More Images. CoRR abs/2104.02663 (2021) - [i19]Christian Abbet, Linda Studer, Andreas Fischer, Heather Dawson, Inti Zlobec, Behzad Bozorgtabar, Jean-Philippe Thiran:
Self-Rule to Adapt: Generalized Multi-source Feature Learning Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Detection. CoRR abs/2108.09178 (2021) - [i18]Devavrat Tomar, Behzad Bozorgtabar, Manana Lortkipanidze, Guillaume Vray, Mohammad Saeed Rad, Jean-Philippe Thiran:
Self-Supervised Generative Style Transfer for One-Shot Medical Image Segmentation. CoRR abs/2110.02117 (2021) - 2020
- [j10]Mohammad Saeed Rad, Behzad Bozorgtabar
Benefiting from multitask learning to improve single image super-resolution. Neurocomputing 398: 304-313 (2020) - [j9]Behzad Bozorgtabar
ExprADA: Adversarial domain adaptation for facial expression analysis. Pattern Recognit. 100: 107111 (2020) - [c24]Dwarikanath Mahapatra, Behzad Bozorgtabar
Pathological Retinal Region Segmentation From OCT Images Using Geometric Relation Based Augmentation. CVPR 2020: 9608-9617 - [c23]Dwarikanath Mahapatra, Behzad Bozorgtabar
Structure Preserving Stain Normalization of Histopathology Images Using Self Supervised Semantic Guidance. MICCAI (5) 2020: 309-319 - [c22]Behzad Bozorgtabar
SALAD: Self-supervised Aggregation Learning for Anomaly Detection on X-Rays. MICCAI (1) 2020: 468-478 - [c21]Christian Abbet
Divide-and-Rule: Self-Supervised Learning for Survival Analysis in Colorectal Cancer. MICCAI (5) 2020: 480-489 - [i17]Dwarikanath Mahapatra, Behzad Bozorgtabar, Jean-Philippe Thiran, Ling Shao:
Pathological Retinal Region Segmentation From OCT Images Using Geometric Relation Based Augmentation. CoRR abs/2003.14119 (2020) - [i16]Mohammad Saeed Rad, Thomas Yu, Claudiu Musat, Hazim Kemal Ekenel, Behzad Bozorgtabar, Jean-Philippe Thiran:
Benefitting from Bicubically Down-Sampled Images for Learning Real-World Image Super-Resolution. CoRR abs/2007.03053 (2020) - [i15]Christian Abbet, Inti Zlobec, Behzad Bozorgtabar, Jean-Philippe Thiran:
Divide-and-Rule: Self-Supervised Learning for Survival Analysis in Colorectal Cancer. CoRR abs/2007.03292 (2020) - [i14]Dwarikanath Mahapatra, Behzad Bozorgtabar, Jean-Philippe Thiran, Ling Shao:
Structure Preserving Stain Normalization of Histopathology Images Using Self-Supervised Semantic Guidance. CoRR abs/2008.02101 (2020) - [i13]Behzad Bozorgtabar, Dwarikanath Mahapatra, Guillaume Vray, Jean-Philippe Thiran:
Anomaly Detection on X-Rays Using Self-Supervised Aggregation Learning. CoRR abs/2010.09856 (2020) - [i12]Guillaume Jaume, Pushpak Pati, Behzad Bozorgtabar, Antonio Foncubierta-Rodríguez, Florinda Feroce, Anna Maria Anniciello, Tilman Rau, Jean-Philippe Thiran, Maria Gabrani, Orcun Goksel:
Quantifying Explainers of Graph Neural Networks in Computational Pathology. CoRR abs/2011.12646 (2020)
2010 – 2019
- 2019
- [j8]Dwarikanath Mahapatra, Behzad Bozorgtabar
Image super-resolution using progressive generative adversarial networks for medical image analysis. Comput. Medical Imaging Graph. 71: 30-39 (2019) - [j7]Behzad Bozorgtabar
Informative sample generation using class aware generative adversarial networks for classification of chest Xrays. Comput. Vis. Image Underst. 184: 57-65 (2019) - [j6]Behzad Bozorgtabar
Learn to synthesize and synthesize to learn. Comput. Vis. Image Underst. 185: 1-11 (2019) - [j5]Saleh Baghersalimi
DermoNet: densely linked convolutional neural network for efficient skin lesion segmentation. EURASIP J. Image Video Process. 2019: 71 (2019) - [c20]Omid Abdollahi Aghdam, Behzad Bozorgtabar
Exploring Factors for Improving Low Resolution Face Recognition. CVPR Workshops 2019: 2363-2370 - [c19]Tanguy Albrici, Mandana Fasounaki, Saleh Bagher Salimi, Guillaume Vray, Behzad Bozorgtabar
G2-VER: Geometry Guided Model Ensemble for Video-based Facial Expression Recognition. FG 2019: 1-6 - [c18]Behzad Bozorgtabar
Using Photorealistic Face Synthesis and Domain Adaptation to Improve Facial Expression Analysis. FG 2019: 1-8 - [c17]Mohammad Saeed Rad, Behzad Bozorgtabar
SROBB: Targeted Perceptual Loss for Single Image Super-Resolution. ICCV 2019: 2710-2719 - [c16]Behzad Bozorgtabar
SynDeMo: Synergistic Deep Feature Alignment for Joint Learning of Depth and Ego-Motion. ICCV 2019: 4209-4218 - [i11]Dwarikanath Mahapatra, Behzad Bozorgtabar:
Progressive Generative Adversarial Networks for Medical Image Super resolution. CoRR abs/1902.02144 (2019) - [i10]Behzad Bozorgtabar, Dwarikanath Mahapatra, Hendrik von Teng, Alexander Pollinger, Lukas Ebner, Jean-Philippe Thiran, Mauricio Reyes:
Informative sample generation using class aware generative adversarial networks for classification of chest Xrays. CoRR abs/1904.10781 (2019) - [i9]Behzad Bozorgtabar, Mohammad Saeed Rad, Hazim Kemal Ekenel, Jean-Philippe Thiran:
Learn to synthesize and synthesize to learn. CoRR abs/1905.00286 (2019) - [i8]Behzad Bozorgtabar, Mohammad Saeed Rad, Hazim Kemal Ekenel, Jean-Philippe Thiran:
Using Photorealistic Face Synthesis and Domain Adaptation to Improve Facial Expression Analysis. CoRR abs/1905.08090 (2019) - [i7]Omid Abdollahi Aghdam, Behzad Bozorgtabar, Hazim Kemal Ekenel, Jean-Philippe Thiran:
Exploring Factors for Improving Low Resolution Face Recognition. CoRR abs/1907.10104 (2019) - [i6]Mohammad Saeed Rad, Behzad Bozorgtabar, Claudiu Musat, Urs-Viktor Marti, Max Basler, Hazim Kemal Ekenel, Jean-Philippe Thiran:
Benefiting from Multitask Learning to Improve Single Image Super-Resolution. CoRR abs/1907.12488 (2019) - [i5]Mohammad Saeed Rad, Behzad Bozorgtabar, Urs-Viktor Marti, Max Basler, Hazim Kemal Ekenel, Jean-Philippe Thiran:
SROBB: Targeted Perceptual Loss for Single Image Super-Resolution. CoRR abs/1908.07222 (2019) - [i4]Anca-Nicoleta Ciubotaru, Arnout Devos, Behzad Bozorgtabar, Jean-Philippe Thiran, Maria Gabrani:
Revisiting Few-Shot Learning for Facial Expression Recognition. CoRR abs/1912.02751 (2019) - 2018
- [j4]Behzad Bozorgtabar
MSMCT: Multi-State Multi-Camera Tracker. IEEE Trans. Circuits Syst. Video Technol. 28(12): 3361-3376 (2018) - [c15]Dwarikanath Mahapatra, Behzad Bozorgtabar
Efficient Active Learning for Image Classification and Segmentation Using a Sample Selection and Conditional Generative Adversarial Network. MICCAI (2) 2018: 580-588 - [i3]Dwarikanath Mahapatra, Behzad Bozorgtabar, Jean-Philippe Thiran, Mauricio Reyes:
Efficient Active Learning for Image Classification and Segmentation using a Sample Selection and Conditional Generative Adversarial Network. CoRR abs/1806.05473 (2018) - [i2]Guillaume Jaume, Behzad Bozorgtabar, Hazim Kemal Ekenel, Jean-Philippe Thiran, Maria Gabrani:
Image-Level Attentional Context Modeling Using Nested-Graph Neural Networks. CoRR abs/1811.03830 (2018) - 2017
- [j3]Behzad Bozorgtabar
Skin lesion segmentation using deep convolution networks guided by local unsupervised learning. IBM J. Res. Dev. 61(4-5): 6:1-6:8 (2017) - [c14]Behzad Bozorgtabar
Investigating deep side layers for skin lesion segmentation. ISBI 2017: 256-260 - [c13]Sergey Demyanov, Rajib Chakravorty, Zongyuan Ge
Tree-loss function for training neural networks on weakly-labelled datasets. ISBI 2017: 287-291 - [c12]Zongyuan Ge
Exploiting local and generic features for accurate skin lesions classification using clinical and dermoscopy imaging. ISBI 2017: 986-990 - [c11]Dwarikanath Mahapatra, Behzad Bozorgtabar
Image Super Resolution Using Generative Adversarial Networks and Local Saliency Maps for Retinal Image Analysis. MICCAI (3) 2017: 382-390 - [i1]Dwarikanath Mahapatra, Behzad Bozorgtabar:
Retinal Vasculature Segmentation Using Local Saliency Maps and Generative Adversarial Networks For Image Super Resolution. CoRR abs/1710.04783 (2017) - 2016
- [j2]Behzad Bozorgtabar
Efficient multi-target tracking via discovering dense subgraphs. Comput. Vis. Image Underst. 144: 205-216 (2016) - [c10]Behzad Bozorgtabar
Sparse Coding Based Skin Lesion Segmentation Using Dynamic Rule-Based Refinement. MLMI@MICCAI 2016: 254-261 - 2015
- [c9]Behzad Bozorgtabar
Multi-level action detection via learning latent structure. ICIP 2015: 3004-3008 - 2014
- [c8]Behzad Bozorgtabar
Enhanced Laplacian Group Sparse Learning with Lifespan Outlier Rejection for Visual Tracking. ACCV (5) 2014: 564-578 - [c7]Behzad Bozorgtabar
Robust Visual Tracking via Rank-Constrained Sparse Learning. DICTA 2014: 1-7 - [c6]Behzad Bozorgtabar
Discriminative Multi-Task Sparse Learning for Robust Visual Tracking Using Conditional Random Field. DICTA 2014: 1-8 - [c5]Behzad Bozorgtabar
Joint sparsity-based robust visual tracking. ICIP 2014: 4927-4931 - 2013
- [c4]Behzad Bozorgtabar
Robust Visual Vocabulary Tracking Using Hierarchical Model Fusion. DICTA 2013: 1-8 - [c3]Matej Kristan, Roman P. Pflugfelder, Ales Leonardis, Jiri Matas
The Visual Object Tracking VOT2013 Challenge Results. ICCV Workshops 2013: 98-111 - [c2]Behzad Bozorgtabar
Adaptive Multiple Component Metric Learning for Robust Visual Tracking. ICONIP (3) 2013: 566-575 - 2012
- [c1]Behzad Bozorgtabar
An Improved NN Training Scheme Using Two-Stage LDA Features for Face Recognition. ICONIP (5) 2012: 662-671 - 2011
- [j1]Behzad Bozorgtabar, Gholam Ali Rezai Rad:
A Genetic Programming-PCA Hybrid Face Recognition Algorithm. J. Signal Inf. Process. 2(3): 170-174 (2011)
Coauthor Index
[j17] [j14] [c50] [c49] [c48] [i34] [i33] [c46] [c45] [c44] [c42] [c40] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [j12] [c39] [c36] [c35] [i24] [j11] [c34] [c33] [c32] [c30] [c27] [c26] [c25] [i23] [i22] [i21] [i20] [i19] [i18] [j10] [j9] [c23] [c22] [c21] [i17] [i16] [i15] [i14] [i13] [i12] [j7] [j6] [j5] [c20] [c19] [c18] [c17] [c16] [i10] [i9] [i8] [i7] [i6] [i5] [i4] [c15] [i3] [i2]
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