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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, Behzad Bozorgtabar, Zongyuan Ge, Mauricio Reyes:
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, Ruwan B. Tennakoon, Yasmeen George, Sudipta Roy, Behzad Bozorgtabar, Zongyuan Ge, Mauricio Reyes:
ALFREDO: Active Learning with FeatuRe disEntangelement and DOmain adaptation for medical image classification. Medical Image Anal. 97: 103261 (2024) - [j14]Guillaume Vray, Devavrat Tomar, Behzad Bozorgtabar, Jean-Philippe Thiran:
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, Guillaume Jaume, Zeineb Ayadi, Kevin Thandiackal, Behzad Bozorgtabar, Maria Gabrani, Orcun Goksel:
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, Jean-Philippe Thiran:
CrOC: Cross-View Online Clustering for Dense Visual Representation Learning. CVPR 2023: 7000-7009 - [c45]Devavrat Tomar, Guillaume Vray, Behzad Bozorgtabar, Jean-Philippe Thiran:
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, Dwarikanath Mahapatra, Jean-Philippe Thiran:
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, Antoine Spahr, Jean-Philippe Thiran:
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, Maria Gabrani, Orcun Goksel:
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, Jean-Philippe Thiran:
TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation. CoRR abs/2303.09870 (2023) - [i29]Thomas Stegmüller, Tim Lebailly, Behzad Bozorgtabar, Tinne Tuytelaars, Jean-Philippe Thiran:
CrOC: Cross-View Online Clustering for Dense Visual Representation Learning. CoRR abs/2303.13245 (2023) - [i28]Tim Lebailly, Thomas Stegmüller, Behzad Bozorgtabar, Jean-Philippe Thiran, Tinne Tuytelaars:
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, Linda Studer, Andreas Fischer, Heather Dawson, Inti Zlobec, Behzad Bozorgtabar, Jean-Philippe Thiran:
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, Mauricio Reyes:
Medical Image Super Resolution by Preserving Interpretable and Disentangled Features. ECCV Workshops (7) 2022: 709-721 - [c37]Dwarikanath Mahapatra, Steven Korevaar, Behzad Bozorgtabar, Ruwan B. Tennakoon:
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, Manana Lortkipanidze, Guillaume Vray, Mohammad Saeed Rad, Jean-Philippe Thiran:
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, Manana Lortkipanidze, Guillaume Vray, Behzad Bozorgtabar, Jean-Philippe Thiran:
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, Antonio Foncubierta, Anna Maria Anniciello, Florinda Feroce, Tilman Rau, Jean-Philippe Thiran, Maria Gabrani, Orcun Goksel:
Quantifying Explainers of Graph Neural Networks in Computational Pathology. CVPR 2021: 8106-8116 - [c33]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. ICCVW 2021: 1845-1854 - [c32]Behzad Bozorgtabar, Guillaume Vray, Dwarikanath Mahapatra, Jean-Philippe Thiran:
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, Zongyuan Ge:
Medical Image Classification Using Generalized Zero Shot Learning. ICCVW 2021: 3337-3346 - [c30]Antoine Spahr, Behzad Bozorgtabar, Jean-Philippe Thiran:
Self-Taught Semi-Supervised Anomaly Detection On Upper Limb X-Rays. ISBI 2021: 1632-1636 - [c29]Dwarikanath Mahapatra, Behzad Bozorgtabar, Shiba Kuanar, Zongyuan Ge:
Self-supervised Multimodal Generalized Zero Shot Learning for Gleason Grading. DART/FAIR@MICCAI 2021: 46-56 - [c28]Dwarikanath Mahapatra, Shiba Kuanar, Behzad Bozorgtabar, Zongyuan Ge:
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, Antonio Foncubierta-Rodríguez, Jean-Philippe Thiran, Mathilde Sibony, Maria Gabrani, Orcun Goksel:
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, Jean-Philippe Thiran:
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, Claudiu Musat, Urs-Viktor Marti, Max Basler, Hazim Kemal Ekenel, Jean-Philippe Thiran:
Benefiting from multitask learning to improve single image super-resolution. Neurocomputing 398: 304-313 (2020) - [j9]Behzad Bozorgtabar, Dwarikanath Mahapatra, Jean-Philippe Thiran:
ExprADA: Adversarial domain adaptation for facial expression analysis. Pattern Recognit. 100: 107111 (2020) - [c24]Dwarikanath Mahapatra, Behzad Bozorgtabar, Ling Shao:
Pathological Retinal Region Segmentation From OCT Images Using Geometric Relation Based Augmentation. CVPR 2020: 9608-9617 - [c23]Dwarikanath Mahapatra, Behzad Bozorgtabar, Jean-Philippe Thiran, Ling Shao:
Structure Preserving Stain Normalization of Histopathology Images Using Self Supervised Semantic Guidance. MICCAI (5) 2020: 309-319 - [c22]Behzad Bozorgtabar, Dwarikanath Mahapatra, Guillaume Vray, Jean-Philippe Thiran:
SALAD: Self-supervised Aggregation Learning for Anomaly Detection on X-Rays. MICCAI (1) 2020: 468-478 - [c21]Christian Abbet, Inti Zlobec, Behzad Bozorgtabar, Jean-Philippe Thiran:
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, Rahil Garnavi:
Image super-resolution using progressive generative adversarial networks for medical image analysis. Comput. Medical Imaging Graph. 71: 30-39 (2019) - [j7]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. Comput. Vis. Image Underst. 184: 57-65 (2019) - [j6]Behzad Bozorgtabar, Mohammad Saeed Rad, Hazim Kemal Ekenel, Jean-Philippe Thiran:
Learn to synthesize and synthesize to learn. Comput. Vis. Image Underst. 185: 1-11 (2019) - [j5]Saleh Baghersalimi, Behzad Bozorgtabar, Philippe Schmid-Saugeon, Hazim Kemal Ekenel, Jean-Philippe Thiran:
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, Hazim Kemal Ekenel, Jean-Philippe Thiran:
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, Hazim Kemal Ekenel, Jean-Philippe Thiran:
G2-VER: Geometry Guided Model Ensemble for Video-based Facial Expression Recognition. FG 2019: 1-6 - [c18]Behzad Bozorgtabar, Mohammad Saeed Rad, Hazim Kemal Ekenel, Jean-Philippe Thiran:
Using Photorealistic Face Synthesis and Domain Adaptation to Improve Facial Expression Analysis. FG 2019: 1-8 - [c17]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. ICCV 2019: 2710-2719 - [c16]Behzad Bozorgtabar, Mohammad Saeed Rad, Dwarikanath Mahapatra, Jean-Philippe Thiran:
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, Roland Goecke:
MSMCT: Multi-State Multi-Camera Tracker. IEEE Trans. Circuits Syst. Video Technol. 28(12): 3361-3376 (2018) - [c15]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. 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, Suman Sedai, Pallab Kanti Roy, Rahil Garnavi:
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, Zongyuan Ge, Rajib Chakravorty, Mani Abedini, Sergey Demyanov, Rahil Garnavi:
Investigating deep side layers for skin lesion segmentation. ISBI 2017: 256-260 - [c13]Sergey Demyanov, Rajib Chakravorty, Zongyuan Ge, SeyedBehzad Bozorgtabar, Michelle Pablo, Adrian Bowling, Rahil Garnavi:
Tree-loss function for training neural networks on weakly-labelled datasets. ISBI 2017: 287-291 - [c12]Zongyuan Ge, Sergey Demyanov, Behzad Bozorgtabar, Mani Abedini, Rajib Chakravorty, Adrian Bowling, Rahil Garnavi:
Exploiting local and generic features for accurate skin lesions classification using clinical and dermoscopy imaging. ISBI 2017: 986-990 - [c11]Dwarikanath Mahapatra, Behzad Bozorgtabar, Sajini Hewavitharanage, Rahil Garnavi:
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, Roland Göcke:
Efficient multi-target tracking via discovering dense subgraphs. Comput. Vis. Image Underst. 144: 205-216 (2016) - [c10]Behzad Bozorgtabar, Mani Abedini, Rahil Garnavi:
Sparse Coding Based Skin Lesion Segmentation Using Dynamic Rule-Based Refinement. MLMI@MICCAI 2016: 254-261 - 2015
- [c9]Behzad Bozorgtabar, Roland Goecke:
Multi-level action detection via learning latent structure. ICIP 2015: 3004-3008 - 2014
- [c8]Behzad Bozorgtabar, Roland Goecke:
Enhanced Laplacian Group Sparse Learning with Lifespan Outlier Rejection for Visual Tracking. ACCV (5) 2014: 564-578 - [c7]Behzad Bozorgtabar, Roland Goecke:
Robust Visual Tracking via Rank-Constrained Sparse Learning. DICTA 2014: 1-7 - [c6]Behzad Bozorgtabar, Roland Goecke:
Discriminative Multi-Task Sparse Learning for Robust Visual Tracking Using Conditional Random Field. DICTA 2014: 1-8 - [c5]Behzad Bozorgtabar, Roland Goecke:
Joint sparsity-based robust visual tracking. ICIP 2014: 4927-4931 - 2013
- [c4]Behzad Bozorgtabar, Roland Goecke:
Robust Visual Vocabulary Tracking Using Hierarchical Model Fusion. DICTA 2013: 1-8 - [c3]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, Ali Soltani-Farani, Ali Zarezade, Alfredo Petrosino, Anthony Milton, Behzad Bozorgtabar, Bo Li, Chee Seng Chan, Cherkeng Heng, Dale A. Ward, David A. Kearney, Dorothy Monekosso, Hakki Can Karaimer, Hamid R. Rabiee, Jianke Zhu, Jin Gao, Jingjing Xiao, Junge Zhang, Junliang Xing, Kaiqi Huang, Karel Lebeda, Lijun Cao, Mario Edoardo Maresca, Mei Kuan Lim, Mohamed ElHelw, Michael Felsberg, Paolo Remagnino, Richard Bowden, Roland Goecke, Rustam Stolkin, Samantha YueYing Lim, Sara Maher, Sébastien Poullot, Sebastien C. Wong, Shin'ichi Satoh, Weihua Chen, Weiming Hu, Xiaoqin Zhang, Yang Li, Zhi Heng Niu:
The Visual Object Tracking VOT2013 Challenge Results. ICCV Workshops 2013: 98-111 - [c2]Behzad Bozorgtabar, Roland Goecke:
Adaptive Multiple Component Metric Learning for Robust Visual Tracking. ICONIP (3) 2013: 566-575 - 2012
- [c1]Behzad Bozorgtabar, Roland Goecke:
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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last updated on 2024-10-07 22:16 CEST by the dblp team
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