Behzad Bozorgtabar

发表

Weakly Supervised Joint Whole-Slide Segmentation and Classification in Prostate Cancer

O. Goksel, B. Bozorgtabar, M. Gabrani, 2023, Medical Image Anal..

Image super-resolution using progressive generative adversarial networks for medical image analysis

Dwarikanath Mahapatra, Rahil Garnavi, Behzad Bozorgtabar, 2019, Comput. Medical Imaging Graph..

The Visual Object Tracking VOT2013 Challenge Results

Michael Felsberg, Seunghoon Hong, Bohyung Han, 2013, 2013 IEEE International Conference on Computer Vision Workshops.

Combining Graph Transformers Based Multi-Label Active Learning and Informative Data Augmentation for Chest Xray Classification

J. Thiran, D. Mahapatra, Behzad Bozorgtabar, 2024, AAAI.

ExprADA: Adversarial domain adaptation for facial expression analysis

Jean-Philippe Thiran, Dwarikanath Mahapatra, Behzad Bozorgtabar, 2020, Pattern Recognit..

Discriminative Multi-Task Sparse Learning for Robust Visual Tracking Using Conditional Random Field

Roland Göcke, Behzad Bozorgtabar, Roland Göcke, 2014, 2014 International Conference on Digital Image Computing: Techniques and Applications (DICTA).

Robust Visual Tracking via Rank-Constrained Sparse Learning

Roland Göcke, Behzad Bozorgtabar, Roland Göcke, 2014, 2014 International Conference on Digital Image Computing: Techniques and Applications (DICTA).

Enhanced Laplacian Group Sparse Learning with Lifespan Outlier Rejection for Visual Tracking

Roland Göcke, Behzad Bozorgtabar, Roland Göcke, 2014, ACCV.

Joint sparsity-based robust visual tracking

Roland Göcke, Behzad Bozorgtabar, Roland Göcke, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

Revisiting Few-Shot Learning for Facial Expression Recognition pdf

Maria Gabrani, Jean-Philippe Thiran, Behzad Bozorgtabar, 2019, ArXiv.

Image Super Resolution Using Generative Adversarial Networks and Local Saliency Maps for Retinal Image Analysis

Dwarikanath Mahapatra, Rahil Garnavi, Behzad Bozorgtabar, 2017, MICCAI.

SROBB: Targeted Perceptual Loss for Single Image Super-Resolution

Hazim Kemal Ekenel, Jean-Philippe Thiran, Behzad Bozorgtabar, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Exploring Factors for Improving Low Resolution Face Recognition

Hazim Kemal Ekenel, Jean-Philippe Thiran, Behzad Bozorgtabar, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Efficient Active Learning for Image Classification and Segmentation using a Sample Selection and Conditional Generative Adversarial Network pdf

Jean-Philippe Thiran, Dwarikanath Mahapatra, Mauricio Reyes, 2018, MICCAI.

Medical Image Classification Using Generalized Zero Shot Learning

B. Bozorgtabar, D. Mahapatra, Z. Ge, 2021, 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).

An Improved Signal Segmentation Using Moving Average and Savitzky-Golay Filter

H. Azami, B. Bozorgtabar, K. Mohammadi, 2012 .

ScoreNet: Learning Non-Uniform Attention and Augmentation for Transformer-Based Histopathological Image Classification

J. Thiran, B. Bozorgtabar, A. Spahr, 2022, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

Self-rule to multi-adapt: Generalized multi-source feature learning using unsupervised domain adaptation for colorectal cancer tissue detection pdf

Jean-Philippe Thiran, Linda Studer, Behzad Bozorgtabar, 2021, Medical Image Anal..

Self-Rule to Adapt: Learning Generalized Features from Sparsely-Labeled Data Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Phenotyping

Jean-Philippe Thiran, Linda Studer, Behzad Bozorgtabar, 2021, MIDL.

Self-Rule to Adapt: Generalized Multi-source Feature Learning Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Detection

J. Thiran, H. Dawson, Linda Studer, 2021, ArXiv.

Distill-SODA: Distilling Self-Supervised Vision Transformer for Source-Free Open-Set Domain Adaptation in Computational Pathology

Devavrat Tomar, Guillaume Vray, Jean-Philippe Thiran, 2023, IEEE Transactions on Medical Imaging.

Source-Free Open-Set Domain Adaptation for Histopathological Images via Distilling Self-Supervised Vision Transformer

J. Thiran, Devavrat Tomar, Guillaume Vray, 2023, ArXiv.

CrIBo: Self-Supervised Learning via Cross-Image Object-Level Bootstrapping

T. Tuytelaars, J. Thiran, Thomas Stegmüller, 2023, ICLR.

Structure Preserving Stain Normalization of Histopathology Images Using Self-Supervised Semantic Guidance

J. Thiran, B. Bozorgtabar, D. Mahapatra, 2020, MICCAI.

Pathological Retinal Region Segmentation From OCT Images Using Geometric Relation Based Augmentation

J. Thiran, B. Bozorgtabar, D. Mahapatra, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Retinal Vasculature Segmentation Using Local Saliency Maps and Generative Adversarial Networks For Image Super Resolution pdf

Dwarikanath Mahapatra, Behzad Bozorgtabar, B. Bozorgtabar, 2017, ArXiv.

Test-Time Adaptation for Super-Resolution: You Only Need to Overfit on a Few More Images

Jean-Philippe Thiran, Behzad Bozorgtabar, Mohammad Saeed Rad, 2021, 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).

Benefiting from Bicubically Down-Sampled Images for Learning Real-World Image Super-Resolution

Jean-Philippe Thiran, Hazim Kemal Ekenel, Claudiu Musat, 2021, 2021 IEEE Winter Conference on Applications of Computer Vision (WACV).

Benefitting from Bicubically Down-Sampled Images for Learning Real-World Image Super-Resolution pdf

Thomas Yu, Hazim Kemal Ekenel, Claudiu Musat, 2020, ArXiv.