Behzad Bozorgtabar

115 papers A* 13A 5B 4Misc 3Journal 62Unranked 28

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	LATA: Laplacian-Assisted Transductive Adaptation for Conformal Uncertainty in Medical VLMs. CoRR Behzad Bozorgtabar, Dwarikanath Mahapatra, Sudipta Roy, Muzammal Naseer, Imran Razzak, Zongyuan Ge
2026	J	`jnl`	Learning to Read Where to Look: Disease-Aware Vision-Language Pretraining for 3D CT. CoRR Simon Ging, Philipp Arnold, Sebastian Walter, Hani Alnahas, Hannah Bast, Elmar Kotter, Jiancheng Yang, Behzad Bozorgtabar, Thomas Brox
2026	J	`jnl`	Refining 3D Medical Segmentation with Verbal Instruction. CoRR Kangxian Xie, Jiancheng Yang, Nandor Pinter, Chao Wu, Behzad Bozorgtabar, Mingchen Gao
2026	A*	`conf`	VALIANT: Prompt Instability for Active Learning in Black-Box Medical Imaging. AAAI Dwarikanath Mahapatra, Behzad Bozorgtabar, Sudipta Roy, Imran Razzak, Mauricio Reyes
2026	J	`jnl`	VGS-Decoding: Visual Grounding Score Guided Decoding for Hallucination Mitigation in Medical VLMs. CoRR Govinda Kolli, Adinath Madhavrao Dukre, Behzad Bozorgtabar, Dwarikanath Mahapatra, Imran Razzak
2025	A*	`conf`	A Simple Framework for Open-Vocabulary Zero-Shot Segmentation. ICLR Thomas Stegmüller, Tim Lebailly, Nikola Dukic, Behzad Bozorgtabar, Tinne Tuytelaars, Jean-Philippe Thiran
2025	J	`jnl`	Corrections to "Multi-Label Generalized Zero Shot Chest X-Ray Classification By Combining Image-Text Information With Feature Disentanglement". IEEE Trans. Medical Imaging Dwarikanath Mahapatra, Antonio Jimeno-Yepes, Behzad Bozorgtabar, Sudipta Roy, Zongyuan Ge, Mauricio Reyes
2025	J	`jnl`	MuGa-VTON: Multi-Garment Virtual Try-On via Diffusion Transformers with Prompt Customization. CoRR Ankan Deria, Dwarikanath Mahapatra, Behzad Bozorgtabar, Mohna Chakraborty, Snehashis Chakraborty, Sudipta Roy
2025	J	`jnl`	Multi-Label Generalized Zero Shot Chest X-Ray Classification by Combining Image-Text Information With Feature Disentanglement. IEEE Trans. Medical Imaging Dwarikanath Mahapatra, Antonio Jimeno-Yepes, Behzad Bozorgtabar, Sudipta Roy, Zongyuan Ge, Mauricio Reyes
2025	J	`jnl`	Positive Semi-definite Latent Factor Grouping-Boosted Cluster-reasoning Instance Disentangled Learning for WSI Representation. CoRR Chentao Li, Behzad Bozorgtabar, Yifang Ping, Pan Huang, Jing Qin
2025	J	`jnl`	ReservoirTTA: Prolonged Test-time Adaptation for Evolving and Recurring Domains. CoRR Guillaume Vray, Devavrat Tomar, Xufeng Gao, Jean-Philippe Thiran, Evan Shelhamer, Behzad Bozorgtabar
2025	J	`jnl`	Robust semantic learning for precise medical image segmentation. Biomed. Signal Process. Control. Snehashis Chakraborty, Komal Kumar, Ankan Deria, Dwarikanath Mahapatra, Behzad Bozorgtabar, Sudipta Roy
2025	A	`conf`	Self-Supervised Anomaly Segmentation via Diffusion Models with Dynamic Transformer UNet. WACV Komal Kumar, Snehashis Chakraborty, Dwarikanath Mahapatra, Behzad Bozorgtabar, Sudipta Roy
2025	—	`conf`	Slide-Level Prompt Learning with Vision Language Models for Few-Shot Multiple Instance Learning in Histopathology. ISBI Devavrat Tomar, Guillaume Vray, Dwarikanath Mahapatra, Sudipta Roy, Jean-Philippe Thiran, Behzad Bozorgtabar
2025	J	`jnl`	Slide-Level Prompt Learning with Vision Language Models for Few-Shot Multiple Instance Learning in Histopathology. CoRR Devavrat Tomar, Guillaume Vray, Dwarikanath Mahapatra, Sudipta Roy, Jean-Philippe Thiran, Behzad Bozorgtabar
2024	J	`jnl`	A Simple Framework for Open-Vocabulary Zero-Shot Segmentation. CoRR Thomas Stegmüller, Tim Lebailly, Nikola Dukic, Behzad Bozorgtabar, Tinne Tuytelaars, Jean-Philippe Thiran
2024	J	`jnl`	ALFREDO: Active Learning with FeatuRe disEntangelement and DOmain adaptation for medical image classification. Medical Image Anal. Dwarikanath Mahapatra, Ruwan B. Tennakoon, Yasmeen M. George, Sudipta Roy, Behzad Bozorgtabar, Zongyuan Ge, Mauricio Reyes
2024	A*	`conf`	Combining Graph Transformers Based Multi-Label Active Learning and Informative Data Augmentation for Chest Xray Classification. AAAI Dwarikanath Mahapatra, Behzad Bozorgtabar, Zongyuan Ge, Mauricio Reyes, Jean-Philippe Thiran
2024	A*	`conf`	CrIBo: Self-Supervised Learning via Cross-Image Object-Level Bootstrapping. ICLR Tim Lebailly, Thomas Stegmüller, Behzad Bozorgtabar, Jean-Philippe Thiran, Tinne Tuytelaars
2024	J	`jnl`	Distill-SODA: Distilling Self-Supervised Vision Transformer for Source-Free Open-Set Domain Adaptation in Computational Pathology. IEEE Trans. Medical Imaging Guillaume Vray, Devavrat Tomar, Behzad Bozorgtabar, Jean-Philippe Thiran
2024	J	`jnl`	GANDALF: Graph-based transformer and Data Augmentation Active Learning Framework with interpretable features for multi-label chest Xray classification. Medical Image Anal. Dwarikanath Mahapatra, Behzad Bozorgtabar, Zongyuan Ge, Mauricio Reyes
2024	J	`jnl`	Self-supervised learning-based cervical cytology for the triage of HPV-positive women in resource-limited settings and low-data regime. Comput. Biol. Medicine Thomas Stegmüller, Christian Abbet, Behzad Bozorgtabar, Holly Clarke, Patrick Petignat, Pierre Vassilakos, Jean-Philippe Thiran
2024	A*	`conf`	Un-Mixing Test-Time Normalization Statistics: Combatting Label Temporal Correlation. ICLR Devavrat Tomar, Guillaume Vray, Jean-Philippe Thiran, Behzad Bozorgtabar
2024	J	`jnl`	Un-Mixing Test-Time Normalization Statistics: Combatting Label Temporal Correlation. CoRR Devavrat Tomar, Guillaume Vray, Jean-Philippe Thiran, Behzad Bozorgtabar
2023	J	`jnl`	AMAE: Adaptation of Pre-Trained Masked Autoencoder for Dual-Distribution Anomaly Detection in Chest X-Rays. CoRR Behzad Bozorgtabar, Dwarikanath Mahapatra, Jean-Philippe Thiran
2023	—	`conf`	AMAE: Adaptation of Pre-trained Masked Autoencoder for Dual-Distribution Anomaly Detection in Chest X-Rays. MICCAI (1) Behzad Bozorgtabar, Dwarikanath Mahapatra, Jean-Philippe Thiran
2023	A*	`conf`	Adaptive Similarity Bootstrapping for Self-Distillation based Representation Learning. ICCV Tim Lebailly, Thomas Stegmüller, Behzad Bozorgtabar, Jean-Philippe Thiran, Tinne Tuytelaars
2023	J	`jnl`	Adaptive Similarity Bootstrapping for Self-Distillation. CoRR Tim Lebailly, Thomas Stegmüller, Behzad Bozorgtabar, Jean-Philippe Thiran, Tinne Tuytelaars
2023	A*	`conf`	Attention-Conditioned Augmentations for Self-Supervised Anomaly Detection and Localization. AAAI Behzad Bozorgtabar, Dwarikanath Mahapatra
2023	—	`conf`	Class Specific Feature Disentanglement and Text Embeddings for Multi-label Generalized Zero Shot CXR Classification. MICCAI (2) Dwarikanath Mahapatra, Antonio José Jimeno-Yepes, Shiba Kuanar, Sudipta Roy, Behzad Bozorgtabar, Mauricio Reyes, Zongyuan Ge
2023	J	`jnl`	CrIBo: Self-Supervised Learning via Cross-Image Object-Level Bootstrapping. CoRR Tim Lebailly, Thomas Stegmüller, Behzad Bozorgtabar, Jean-Philippe Thiran, Tinne Tuytelaars
2023	A*	`conf`	CrOC: Cross-View Online Clustering for Dense Visual Representation Learning. CVPR Thomas Stegmüller, Tim Lebailly, Behzad Bozorgtabar, Tinne Tuytelaars, Jean-Philippe Thiran
2023	J	`jnl`	CrOC: Cross-View Online Clustering for Dense Visual Representation Learning. CoRR Thomas Stegmüller, Tim Lebailly, Behzad Bozorgtabar, Tinne Tuytelaars, Jean-Philippe Thiran
2023	—	`conf`	SaGTTA: Saliency Guided Test Time Augmentation for Medical Image Segmentation Across Vendor Domain Shift. ISBI Suhang You, Devavrat Tomar, Behzad Bozorgtabar, Mauricio Reyes
2023	A	`conf`	ScoreNet: Learning Non-Uniform Attention and Augmentation for Transformer-Based Histopathological Image Classification. WACV Thomas Stegmüller, Behzad Bozorgtabar, Antoine Spahr, Jean-Philippe Thiran
2023	J	`jnl`	Self-Supervised Learning-Based Cervical Cytology Diagnostics in Low-Data Regime and Low-Resource Setting. CoRR Thomas Stegmüller, Christian Abbet, Behzad Bozorgtabar, Holly Clarke, Patrick Petignat, Pierre Vassilakos, Jean-Philippe Thiran
2023	J	`jnl`	Source-Free Open-Set Domain Adaptation for Histopathological Images via Distilling Self-Supervised Vision Transformer. CoRR Guillaume Vray, Devavrat Tomar, Behzad Bozorgtabar, Jean-Philippe Thiran
2023	A*	`conf`	TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation. CVPR Devavrat Tomar, Guillaume Vray, Behzad Bozorgtabar, Jean-Philippe Thiran
2023	J	`jnl`	TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation. CoRR Devavrat Tomar, Guillaume Vray, Behzad Bozorgtabar, Jean-Philippe Thiran
2023	J	`jnl`	Weakly Supervised Joint Whole-Slide Segmentation and Classification in Prostate Cancer. CoRR Pushpak Pati, Guillaume Jaume, Zeineb Ayadi, Kevin Thandiackal, Behzad Bozorgtabar, Maria Gabrani, Orcun Goksel
2023	J	`jnl`	Weakly supervised joint whole-slide segmentation and classification in prostate cancer. Medical Image Anal. Pushpak Pati, Guillaume Jaume, Zeineb Ayadi, Kevin Thandiackal, Behzad Bozorgtabar, Maria Gabrani, Orcun Goksel
2022	A	`conf`	Anomaly Detection and Localization Using Attention-Guided Synthetic Anomaly and Test-Time Adaptation. BMVC Behzad Bozorgtabar, Dwarikanath Mahapatra, Jean-Philippe Thiran
2022	—	`conf`	Medical Image Super Resolution by Preserving Interpretable and Disentangled Features. ECCV Workshops (7) Dwarikanath Mahapatra, Behzad Bozorgtabar, Mauricio Reyes
2022	—	`conf`	OptTTA: Learnable Test-Time Augmentation for Source-Free Medical Image Segmentation Under Domain Shift. MIDL Devavrat Tomar, Guillaume Vray, Jean-Philippe Thiran, Behzad Bozorgtabar
2022	J	`jnl`	ScoreNet: Learning Non-Uniform Attention and Augmentation for Transformer-Based Histopathological Image Classification. CoRR Thomas Stegmüller, Antoine Spahr, Behzad Bozorgtabar, Jean-Philippe Thiran
2022	A	`conf`	Self-Supervised Generative Style Transfer for One-Shot Medical Image Segmentation. WACV Devavrat Tomar, Behzad Bozorgtabar, Manana Lortkipanidze, Guillaume Vray, Mohammad Saeed Rad, Jean-Philippe Thiran
2022	J	`jnl`	Self-rule to multi-adapt: Generalized multi-source feature learning using unsupervised domain adaptation for colorectal cancer tissue detection. Medical Image Anal. Christian Abbet, Linda Studer, Andreas Fischer, Heather Dawson, Inti Zlobec, Behzad Bozorgtabar, Jean-Philippe Thiran
2022	—	`conf`	Unsupervised Domain Adaptation Using Feature Disentanglement and GCNs for Medical Image Classification. ECCV Workshops (7) Dwarikanath Mahapatra, Steven Korevaar, Behzad Bozorgtabar, Ruwan B. Tennakoon
2021	A	`conf`	Benefiting from Bicubically Down-Sampled Images for Learning Real-World Image Super-Resolution. WACV Mohammad Saeed Rad, Thomas Yu, Claudiu Musat, Hazim Kemal Ekenel, Behzad Bozorgtabar, Jean-Philippe Thiran
2021	—	`conf`	Learning Whole-Slide Segmentation from Inexact and Incomplete Labels Using Tissue Graphs. MICCAI (2) Valentin Anklin, Pushpak Pati, Guillaume Jaume, Behzad Bozorgtabar, Antonio Foncubierta-Rodríguez, Jean-Philippe Thiran, Mathilde Sibony, Maria Gabrani, Orcun Goksel
2021	J	`jnl`	Learning Whole-Slide Segmentation from Inexact and Incomplete Labels using Tissue Graphs. CoRR Valentin Anklin, Pushpak Pati, Guillaume Jaume, Behzad Bozorgtabar, Antonio Foncubierta-Rodríguez, Jean-Philippe Thiran, Mathilde Sibony, Maria Gabrani, Orcun Goksel
2021	—	`conf`	Medical Image Classification Using Generalized Zero Shot Learning. ICCVW Dwarikanath Mahapatra, Behzad Bozorgtabar, Zongyuan Ge
2021	A*	`conf`	Quantifying Explainers of Graph Neural Networks in Computational Pathology. CVPR Guillaume Jaume, Pushpak Pati, Behzad Bozorgtabar, Antonio Foncubierta, Anna Maria Anniciello, Florinda Feroce, Tilman Rau, Jean-Philippe Thiran, Maria Gabrani, Orcun Goksel
2021	—	`conf`	SOoD: Self-Supervised Out-of-Distribution Detection Under Domain Shift for Multi-Class Colorectal Cancer Tissue Types. ICCVW Behzad Bozorgtabar, Guillaume Vray, Dwarikanath Mahapatra, Jean-Philippe Thiran
2021	J	`jnl`	Self-Attentive Spatial Adaptive Normalization for Cross-Modality Domain Adaptation. CoRR Devavrat Tomar, Manana Lortkipanidze, Guillaume Vray, Behzad Bozorgtabar, Jean-Philippe Thiran
2021	J	`jnl`	Self-Attentive Spatial Adaptive Normalization for Cross-Modality Domain Adaptation. IEEE Trans. Medical Imaging Devavrat Tomar, Manana Lortkipanidze, Guillaume Vray, Behzad Bozorgtabar, Jean-Philippe Thiran
2021	J	`jnl`	Self-Rule to Adapt: Generalized Multi-source Feature Learning Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Detection. CoRR Christian Abbet, Linda Studer, Andreas Fischer, Heather Dawson, Inti Zlobec, Behzad Bozorgtabar, Jean-Philippe Thiran
2021	—	`conf`	Self-Rule to Adapt: Learning Generalized Features from Sparsely-Labeled Data Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Phenotyping. MIDL Christian Abbet, Linda Studer, Andreas Fischer, Heather Dawson, Inti Zlobec, Behzad Bozorgtabar, Jean-Philippe Thiran
2021	J	`jnl`	Self-Supervised Generative Style Transfer for One-Shot Medical Image Segmentation. CoRR Devavrat Tomar, Behzad Bozorgtabar, Manana Lortkipanidze, Guillaume Vray, Mohammad Saeed Rad, Jean-Philippe Thiran
2021	—	`conf`	Self-Taught Semi-Supervised Anomaly Detection On Upper Limb X-Rays. ISBI Antoine Spahr, Behzad Bozorgtabar, Jean-Philippe Thiran
2021	J	`jnl`	Self-Taught Semi-Supervised Anomaly Detection on Upper Limb X-rays. CoRR Antoine Spahr, Behzad Bozorgtabar, Jean-Philippe Thiran
2021	—	`conf`	Self-supervised Learning of Inter-label Geometric Relationships for Gleason Grade Segmentation. DART/FAIR@MICCAI Dwarikanath Mahapatra, Shiba Kuanar, Behzad Bozorgtabar, Zongyuan Ge
2021	—	`conf`	Self-supervised Multimodal Generalized Zero Shot Learning for Gleason Grading. DART/FAIR@MICCAI Dwarikanath Mahapatra, Behzad Bozorgtabar, Shiba Kuanar, Zongyuan Ge
2021	—	`conf`	Test-Time Adaptation for Super-Resolution: You Only Need to Overfit on a Few More Images. ICCVW Mohammad Saeed Rad, Thomas Yu, Behzad Bozorgtabar, Jean-Philippe Thiran
2021	J	`jnl`	Test-Time Adaptation for Super-Resolution: You Only Need to Overfit on a Few More Images. CoRR Mohammad Saeed Rad, Thomas Yu, Behzad Bozorgtabar, Jean-Philippe Thiran
2020	J	`jnl`	Anomaly Detection on X-Rays Using Self-Supervised Aggregation Learning. CoRR Behzad Bozorgtabar, Dwarikanath Mahapatra, Guillaume Vray, Jean-Philippe Thiran
2020	J	`jnl`	Benefiting from multitask learning to improve single image super-resolution. Neurocomputing Mohammad Saeed Rad, Behzad Bozorgtabar, Claudiu Musat, Urs-Viktor Marti, Max Basler, Hazim Kemal Ekenel, Jean-Philippe Thiran
2020	J	`jnl`	Benefitting from Bicubically Down-Sampled Images for Learning Real-World Image Super-Resolution. CoRR Mohammad Saeed Rad, Thomas Yu, Claudiu Musat, Hazim Kemal Ekenel, Behzad Bozorgtabar, Jean-Philippe Thiran
2020	—	`conf`	Divide-and-Rule: Self-Supervised Learning for Survival Analysis in Colorectal Cancer. MICCAI (5) Christian Abbet, Inti Zlobec, Behzad Bozorgtabar, Jean-Philippe Thiran
2020	J	`jnl`	Divide-and-Rule: Self-Supervised Learning for Survival Analysis in Colorectal Cancer. CoRR Christian Abbet, Inti Zlobec, Behzad Bozorgtabar, Jean-Philippe Thiran
2020	J	`jnl`	ExprADA: Adversarial domain adaptation for facial expression analysis. Pattern Recognit. Behzad Bozorgtabar, Dwarikanath Mahapatra, Jean-Philippe Thiran
2020	A*	`conf`	Pathological Retinal Region Segmentation From OCT Images Using Geometric Relation Based Augmentation. CVPR Dwarikanath Mahapatra, Behzad Bozorgtabar, Ling Shao
2020	J	`jnl`	Pathological Retinal Region Segmentation From OCT Images Using Geometric Relation Based Augmentation. CoRR Dwarikanath Mahapatra, Behzad Bozorgtabar, Jean-Philippe Thiran, Ling Shao
2020	J	`jnl`	Quantifying Explainers of Graph Neural Networks in Computational Pathology. CoRR Guillaume Jaume, Pushpak Pati, Behzad Bozorgtabar, Antonio Foncubierta-Rodríguez, Florinda Feroce, Anna Maria Anniciello, Tilman Rau, Jean-Philippe Thiran, Maria Gabrani, Orcun Goksel
2020	—	`conf`	SALAD: Self-supervised Aggregation Learning for Anomaly Detection on X-Rays. MICCAI (1) Behzad Bozorgtabar, Dwarikanath Mahapatra, Guillaume Vray, Jean-Philippe Thiran
2020	—	`conf`	Structure Preserving Stain Normalization of Histopathology Images Using Self Supervised Semantic Guidance. MICCAI (5) Dwarikanath Mahapatra, Behzad Bozorgtabar, Jean-Philippe Thiran, Ling Shao
2020	J	`jnl`	Structure Preserving Stain Normalization of Histopathology Images Using Self-Supervised Semantic Guidance. CoRR Dwarikanath Mahapatra, Behzad Bozorgtabar, Jean-Philippe Thiran, Ling Shao
2019	J	`jnl`	Benefiting from Multitask Learning to Improve Single Image Super-Resolution. CoRR Mohammad Saeed Rad, Behzad Bozorgtabar, Claudiu Musat, Urs-Viktor Marti, Max Basler, Hazim Kemal Ekenel, Jean-Philippe Thiran
2019	J	`jnl`	DermoNet: densely linked convolutional neural network for efficient skin lesion segmentation. EURASIP J. Image Video Process. Saleh Baghersalimi, Behzad Bozorgtabar, Philippe Schmid-Saugeon, Hazim Kemal Ekenel, Jean-Philippe Thiran
2019	—	`conf`	Exploring Factors for Improving Low Resolution Face Recognition. CVPR Workshops Omid Abdollahi Aghdam, Behzad Bozorgtabar, Hazim Kemal Ekenel, Jean-Philippe Thiran
2019	J	`jnl`	Exploring Factors for Improving Low Resolution Face Recognition. CoRR Omid Abdollahi Aghdam, Behzad Bozorgtabar, Hazim Kemal Ekenel, Jean-Philippe Thiran
2019	B	`conf`	G2-VER: Geometry Guided Model Ensemble for Video-based Facial Expression Recognition. FG Tanguy Albrici, Mandana Fasounaki, Saleh Bagher Salimi, Guillaume Vray, Behzad Bozorgtabar, Hazim Kemal Ekenel, Jean-Philippe Thiran
2019	J	`jnl`	Image super-resolution using progressive generative adversarial networks for medical image analysis. Comput. Medical Imaging Graph. Dwarikanath Mahapatra, Behzad Bozorgtabar, Rahil Garnavi
2019	J	`jnl`	Informative sample generation using class aware generative adversarial networks for classification of chest Xrays. CoRR Behzad Bozorgtabar, Dwarikanath Mahapatra, Hendrik von Teng, Alexander Pollinger, Lukas Ebner, Jean-Philippe Thiran, Mauricio Reyes
2019	J	`jnl`	Informative sample generation using class aware generative adversarial networks for classification of chest Xrays. Comput. Vis. Image Underst. Behzad Bozorgtabar, Dwarikanath Mahapatra, Hendrik von Teng, Alexander Pollinger, Lukas Ebner, Jean-Philippe Thiran, Mauricio Reyes
2019	J	`jnl`	Learn to synthesize and synthesize to learn. CoRR Behzad Bozorgtabar, Mohammad Saeed Rad, Hazim Kemal Ekenel, Jean-Philippe Thiran
2019	J	`jnl`	Learn to synthesize and synthesize to learn. Comput. Vis. Image Underst. Behzad Bozorgtabar, Mohammad Saeed Rad, Hazim Kemal Ekenel, Jean-Philippe Thiran
2019	J	`jnl`	Progressive Generative Adversarial Networks for Medical Image Super resolution. CoRR Dwarikanath Mahapatra, Behzad Bozorgtabar
2019	J	`jnl`	Revisiting Few-Shot Learning for Facial Expression Recognition. CoRR Anca-Nicoleta Ciubotaru, Arnout Devos, Behzad Bozorgtabar, Jean-Philippe Thiran, Maria Gabrani
2019	A*	`conf`	SROBB: Targeted Perceptual Loss for Single Image Super-Resolution. ICCV Mohammad Saeed Rad, Behzad Bozorgtabar, Urs-Viktor Marti, Max Basler, Hazim Kemal Ekenel, Jean-Philippe Thiran
2019	J	`jnl`	SROBB: Targeted Perceptual Loss for Single Image Super-Resolution. CoRR Mohammad Saeed Rad, Behzad Bozorgtabar, Urs-Viktor Marti, Max Basler, Hazim Kemal Ekenel, Jean-Philippe Thiran
2019	A*	`conf`	SynDeMo: Synergistic Deep Feature Alignment for Joint Learning of Depth and Ego-Motion. ICCV Behzad Bozorgtabar, Mohammad Saeed Rad, Dwarikanath Mahapatra, Jean-Philippe Thiran
2019	B	`conf`	Using Photorealistic Face Synthesis and Domain Adaptation to Improve Facial Expression Analysis. FG Behzad Bozorgtabar, Mohammad Saeed Rad, Hazim Kemal Ekenel, Jean-Philippe Thiran
2019	J	`jnl`	Using Photorealistic Face Synthesis and Domain Adaptation to Improve Facial Expression Analysis. CoRR Behzad Bozorgtabar, Mohammad Saeed Rad, Hazim Kemal Ekenel, Jean-Philippe Thiran
2018	—	`conf`	Efficient Active Learning for Image Classification and Segmentation Using a Sample Selection and Conditional Generative Adversarial Network. MICCAI (2) Dwarikanath Mahapatra, Behzad Bozorgtabar, Jean-Philippe Thiran, Mauricio Reyes
2018	J	`jnl`	Efficient Active Learning for Image Classification and Segmentation using a Sample Selection and Conditional Generative Adversarial Network. CoRR Dwarikanath Mahapatra, Behzad Bozorgtabar, Jean-Philippe Thiran, Mauricio Reyes
2018	J	`jnl`	Image-Level Attentional Context Modeling Using Nested-Graph Neural Networks. CoRR Guillaume Jaume, Behzad Bozorgtabar, Hazim Kemal Ekenel, Jean-Philippe Thiran, Maria Gabrani
2018	J	`jnl`	MSMCT: Multi-State Multi-Camera Tracker. IEEE Trans. Circuits Syst. Video Technol. Behzad Bozorgtabar, Roland Goecke
2017	—	`conf`	Exploiting local and generic features for accurate skin lesions classification using clinical and dermoscopy imaging. ISBI Zongyuan Ge, Sergey Demyanov, Behzad Bozorgtabar, Mani Abedini, Rajib Chakravorty, Adrian Bowling, Rahil Garnavi
2017	—	`conf`	Image Super Resolution Using Generative Adversarial Networks and Local Saliency Maps for Retinal Image Analysis. MICCAI (3) Dwarikanath Mahapatra, Behzad Bozorgtabar, Sajini Hewavitharanage, Rahil Garnavi
2017	—	`conf`	Investigating deep side layers for skin lesion segmentation. ISBI Behzad Bozorgtabar, Zongyuan Ge, Rajib Chakravorty, Mani Abedini, Sergey Demyanov, Rahil Garnavi
2017	J	`jnl`	Retinal Vasculature Segmentation Using Local Saliency Maps and Generative Adversarial Networks For Image Super Resolution. CoRR Dwarikanath Mahapatra, Behzad Bozorgtabar
2017	J	`jnl`	Skin lesion segmentation using deep convolution networks guided by local unsupervised learning. IBM J. Res. Dev. Behzad Bozorgtabar, Suman Sedai, Pallab Kanti Roy, Rahil Garnavi
2016	J	`jnl`	Efficient multi-target tracking via discovering dense subgraphs. Comput. Vis. Image Underst. Behzad Bozorgtabar, Roland Göcke
2016	—	`conf`	Sparse Coding Based Skin Lesion Segmentation Using Dynamic Rule-Based Refinement. MLMI@MICCAI Behzad Bozorgtabar, Mani Abedini, Rahil Garnavi
2015	B	`conf`	Multi-level action detection via learning latent structure. ICIP Behzad Bozorgtabar, Roland Goecke
2014	Misc	`conf`	Discriminative Multi-Task Sparse Learning for Robust Visual Tracking Using Conditional Random Field. DICTA Behzad Bozorgtabar, Roland Goecke
2014	—	`conf`	Enhanced Laplacian Group Sparse Learning with Lifespan Outlier Rejection for Visual Tracking. ACCV (5) Behzad Bozorgtabar, Roland Goecke
2014	B	`conf`	Joint sparsity-based robust visual tracking. ICIP Behzad Bozorgtabar, Roland Goecke
2014	Misc	`conf`	Robust Visual Tracking via Rank-Constrained Sparse Learning. DICTA Behzad Bozorgtabar, Roland Goecke
2013	—	`conf`	Adaptive Multiple Component Metric Learning for Robust Visual Tracking. ICONIP (3) Behzad Bozorgtabar, Roland Goecke
2013	Misc	`conf`	Robust Visual Vocabulary Tracking Using Hierarchical Model Fusion. DICTA Behzad Bozorgtabar, Roland Goecke
2013	—	`conf`	The Visual Object Tracking VOT2013 Challenge Results. ICCV Workshops 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
2012	—	`conf`	An Improved NN Training Scheme Using Two-Stage LDA Features for Face Recognition. ICONIP (5) Behzad Bozorgtabar, Roland Goecke
2011	J	`jnl`	A Genetic Programming-PCA Hybrid Face Recognition Algorithm. J. Signal Inf. Process. Behzad Bozorgtabar, Gholam Ali Rezai Rad