Behzad Bozorgtabar

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 91

Top Venues

Publications

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 (2024)
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)
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) (2024)
Tim Lebailly, Thomas Stegmüller, Behzad Bozorgtabar, Jean-Philippe Thiran, Tinne Tuytelaars
CrIBo: Self-Supervised Learning via Cross-Image Object-Level Bootstrapping. ICLR (2024)
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 (2024)
Devavrat Tomar, Guillaume Vray, Jean-Philippe Thiran, Behzad Bozorgtabar
Un-Mixing Test-Time Normalization Statistics: Combatting Label Temporal Correlation. CoRR (2024)
Devavrat Tomar, Guillaume Vray, Jean-Philippe Thiran, Behzad Bozorgtabar
Un-Mixing Test-Time Normalization Statistics: Combatting Label Temporal Correlation. ICLR (2024)
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 (2024)
Thomas Stegmüller, Tim Lebailly, Nikola Dukic, Behzad Bozorgtabar, Tinne Tuytelaars, Jean-Philippe Thiran
A Simple Framework for Open-Vocabulary Zero-Shot Segmentation. CoRR (2024)
Tim Lebailly, Thomas Stegmüller, Behzad Bozorgtabar, Jean-Philippe Thiran, Tinne Tuytelaars
Adaptive Similarity Bootstrapping for Self-Distillation based Representation Learning. ICCV (2023)
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 (2023)
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)
Behzad Bozorgtabar, Dwarikanath Mahapatra
Attention-Conditioned Augmentations for Self-Supervised Anomaly Detection and Localization. AAAI (2023)
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)
Behzad Bozorgtabar, Dwarikanath Mahapatra, Jean-Philippe Thiran
AMAE: Adaptation of Pre-Trained Masked Autoencoder for Dual-Distribution Anomaly Detection in Chest X-Rays. CoRR (2023)
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 (2023)
Devavrat Tomar, Guillaume Vray, Behzad Bozorgtabar, Jean-Philippe Thiran
TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation. CoRR (2023)
Thomas Stegmüller, Tim Lebailly, Behzad Bozorgtabar, Tinne Tuytelaars, Jean-Philippe Thiran
CrOC: Cross-View Online Clustering for Dense Visual Representation Learning. CVPR (2023)
Thomas Stegmüller, Behzad Bozorgtabar, Antoine Spahr, Jean-Philippe Thiran
ScoreNet: Learning Non-Uniform Attention and Augmentation for Transformer-Based Histopathological Image Classification. WACV (2023)
Suhang You, Devavrat Tomar, Behzad Bozorgtabar, Mauricio Reyes
SaGTTA: Saliency Guided Test Time Augmentation for Medical Image Segmentation Across Vendor Domain Shift. ISBI (2023)
Devavrat Tomar, Guillaume Vray, Behzad Bozorgtabar, Jean-Philippe Thiran
TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation. CVPR (2023)
Thomas Stegmüller, Tim Lebailly, Behzad Bozorgtabar, Tinne Tuytelaars, Jean-Philippe Thiran
CrOC: Cross-View Online Clustering for Dense Visual Representation Learning. CoRR (2023)
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 (2023)
Tim Lebailly, Thomas Stegmüller, Behzad Bozorgtabar, Jean-Philippe Thiran, Tinne Tuytelaars
CrIBo: Self-Supervised Learning via Cross-Image Object-Level Bootstrapping. CoRR (2023)
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 (2023)
Tim Lebailly, Thomas Stegmüller, Behzad Bozorgtabar, Jean-Philippe Thiran, Tinne Tuytelaars
Adaptive Similarity Bootstrapping for Self-Distillation. CoRR (2023)
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 (2022)
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)
Behzad Bozorgtabar, Dwarikanath Mahapatra, Jean-Philippe Thiran
Anomaly Detection and Localization Using Attention-Guided Synthetic Anomaly and Test-Time Adaptation. BMVC (2022)
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)
Thomas Stegmüller, Antoine Spahr, Behzad Bozorgtabar, Jean-Philippe Thiran
ScoreNet: Learning Non-Uniform Attention and Augmentation for Transformer-Based Histopathological Image Classification. CoRR (2022)
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)
Dwarikanath Mahapatra, Behzad Bozorgtabar, Mauricio Reyes
Medical Image Super Resolution by Preserving Interpretable and Disentangled Features. ECCV Workshops (7) (2022)
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)
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 (2021)
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)
Dwarikanath Mahapatra, Behzad Bozorgtabar, Zongyuan Ge
Medical Image Classification Using Generalized Zero Shot Learning. ICCVW (2021)
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 (2021)
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)
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)
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) (2021)
Antoine Spahr, Behzad Bozorgtabar, Jean-Philippe Thiran
Self-Taught Semi-Supervised Anomaly Detection On Upper Limb X-Rays. ISBI (2021)
Devavrat Tomar, Manana Lortkipanidze, Guillaume Vray, Behzad Bozorgtabar, Jean-Philippe Thiran
Self-Attentive Spatial Adaptive Normalization for Cross-Modality Domain Adaptation. CoRR (2021)
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)
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)
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 (2021)
Dwarikanath Mahapatra, Shiba Kuanar, Behzad Bozorgtabar, Zongyuan Ge
Self-supervised Learning of Inter-label Geometric Relationships for Gleason Grade Segmentation. DART/FAIR@MICCAI (2021)
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 (2021)
Dwarikanath Mahapatra, Behzad Bozorgtabar, Shiba Kuanar, Zongyuan Ge
Self-supervised Multimodal Generalized Zero Shot Learning for Gleason Grading. DART/FAIR@MICCAI (2021)
Antoine Spahr, Behzad Bozorgtabar, Jean-Philippe Thiran
Self-Taught Semi-Supervised Anomaly Detection on Upper Limb X-rays. CoRR (2021)
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 (2020)
Behzad Bozorgtabar, Dwarikanath Mahapatra, Guillaume Vray, Jean-Philippe Thiran
SALAD: Self-supervised Aggregation Learning for Anomaly Detection on X-Rays. MICCAI (1) (2020)
Behzad Bozorgtabar, Dwarikanath Mahapatra, Guillaume Vray, Jean-Philippe Thiran
Anomaly Detection on X-Rays Using Self-Supervised Aggregation Learning. CoRR (2020)
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 (2020)
Dwarikanath Mahapatra, Behzad Bozorgtabar, Jean-Philippe Thiran, Ling Shao
Pathological Retinal Region Segmentation From OCT Images Using Geometric Relation Based Augmentation. CoRR (2020)
Christian Abbet, Inti Zlobec, Behzad Bozorgtabar, Jean-Philippe Thiran
Divide-and-Rule: Self-Supervised Learning for Survival Analysis in Colorectal Cancer. MICCAI (5) (2020)
Dwarikanath Mahapatra, Behzad Bozorgtabar, Jean-Philippe Thiran, Ling Shao
Structure Preserving Stain Normalization of Histopathology Images Using Self-Supervised Semantic Guidance. CoRR (2020)
Dwarikanath Mahapatra, Behzad Bozorgtabar, Jean-Philippe Thiran, Ling Shao
Structure Preserving Stain Normalization of Histopathology Images Using Self Supervised Semantic Guidance. MICCAI (5) (2020)
Dwarikanath Mahapatra, Behzad Bozorgtabar, Ling Shao
Pathological Retinal Region Segmentation From OCT Images Using Geometric Relation Based Augmentation. CVPR (2020)
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 (2020)
Behzad Bozorgtabar, Dwarikanath Mahapatra, Jean-Philippe Thiran
ExprADA: Adversarial domain adaptation for facial expression analysis. Pattern Recognit. 100 (2020)
Christian Abbet, Inti Zlobec, Behzad Bozorgtabar, Jean-Philippe Thiran
Divide-and-Rule: Self-Supervised Learning for Survival Analysis in Colorectal Cancer. CoRR (2020)
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)
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)
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 (2019)
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 (2019)
Behzad Bozorgtabar, Mohammad Saeed Rad, Hazim Kemal Ekenel, Jean-Philippe Thiran
Learn to synthesize and synthesize to learn. Comput. Vis. Image Underst. 185 (2019)
Dwarikanath Mahapatra, Behzad Bozorgtabar, Rahil Garnavi
Image super-resolution using progressive generative adversarial networks for medical image analysis. Comput. Medical Imaging Graph. 71 (2019)
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)
Omid Abdollahi Aghdam, Behzad Bozorgtabar, Hazim Kemal Ekenel, Jean-Philippe Thiran
Exploring Factors for Improving Low Resolution Face Recognition. CVPR Workshops (2019)
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 (2019)
Behzad Bozorgtabar, Mohammad Saeed Rad, Hazim Kemal Ekenel, Jean-Philippe Thiran
Learn to synthesize and synthesize to learn. CoRR (2019)
Omid Abdollahi Aghdam, Behzad Bozorgtabar, Hazim Kemal Ekenel, Jean-Philippe Thiran
Exploring Factors for Improving Low Resolution Face Recognition. CoRR (2019)
Behzad Bozorgtabar, Mohammad Saeed Rad, Hazim Kemal Ekenel, Jean-Philippe Thiran
Using Photorealistic Face Synthesis and Domain Adaptation to Improve Facial Expression Analysis. CoRR (2019)
Dwarikanath Mahapatra, Behzad Bozorgtabar
Progressive Generative Adversarial Networks for Medical Image Super resolution. CoRR (2019)
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 (2019)
Anca-Nicoleta Ciubotaru, Arnout Devos, Behzad Bozorgtabar, Jean-Philippe Thiran, Maria Gabrani
Revisiting Few-Shot Learning for Facial Expression Recognition. CoRR (2019)
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 (2019)
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)
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)
Guillaume Jaume, Behzad Bozorgtabar, Hazim Kemal Ekenel, Jean-Philippe Thiran, Maria Gabrani
Image-Level Attentional Context Modeling Using Nested-Graph Neural Networks. CoRR (2018)
Behzad Bozorgtabar, Roland Goecke
MSMCT: Multi-State Multi-Camera Tracker. IEEE Trans. Circuits Syst. Video Technol. 28 (12) (2018)
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 (2018)
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)
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) (2017)
Dwarikanath Mahapatra, Behzad Bozorgtabar
Retinal Vasculature Segmentation Using Local Saliency Maps and Generative Adversarial Networks For Image Super Resolution. CoRR (2017)
Behzad Bozorgtabar, Zongyuan Ge, Rajib Chakravorty, Mani Abedini, Sergey Demyanov, Rahil Garnavi
Investigating deep side layers for skin lesion segmentation. ISBI (2017)
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)
Behzad Bozorgtabar, Mani Abedini, Rahil Garnavi
Sparse Coding Based Skin Lesion Segmentation Using Dynamic Rule-Based Refinement. MLMI@MICCAI (2016)
Behzad Bozorgtabar, Roland Göcke
Efficient multi-target tracking via discovering dense subgraphs. Comput. Vis. Image Underst. 144 (2016)
Behzad Bozorgtabar, Roland Goecke
Multi-level action detection via learning latent structure. ICIP (2015)
Behzad Bozorgtabar, Roland Goecke
Robust Visual Tracking via Rank-Constrained Sparse Learning. DICTA (2014)
Behzad Bozorgtabar, Roland Goecke
Joint sparsity-based robust visual tracking. ICIP (2014)
Behzad Bozorgtabar, Roland Goecke
Enhanced Laplacian Group Sparse Learning with Lifespan Outlier Rejection for Visual Tracking. ACCV (5) (2014)
Behzad Bozorgtabar, Roland Goecke
Discriminative Multi-Task Sparse Learning for Robust Visual Tracking Using Conditional Random Field. DICTA (2014)
Behzad Bozorgtabar, Roland Goecke
Adaptive Multiple Component Metric Learning for Robust Visual Tracking. ICONIP (3) (2013)
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)
Behzad Bozorgtabar, Roland Goecke
Robust Visual Vocabulary Tracking Using Hierarchical Model Fusion. DICTA (2013)
Behzad Bozorgtabar, Roland Goecke
An Improved NN Training Scheme Using Two-Stage LDA Features for Face Recognition. ICONIP (5) (2012)
Behzad Bozorgtabar, Gholam Ali Rezai Rad
A Genetic Programming-PCA Hybrid Face Recognition Algorithm. J. Signal Inf. Process. 2 (3) (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Behzad Bozorgtabar