Behzad Bozorgtabar
19 papers · 2019–2026 · 6 conferences · across top CS/AI conferences
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Keyword Pioneer
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Keyword Collector
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Conferences
CVPR (4)
WACV (4)
AAAI (3)
ICCV (3)
ICLR (3)
MIDL (2)
Top co-authors
Keywords
self-supervised learning
(6)
medical imaging
(4)
data augmentation
(4)
semantic segmentation
(3)
domain adaptation
(3)
medical image segmentation
(3)
active learning
(2)
anomaly detection
(2)
image restoration
(2)
domain shift
(2)
style transfer
(1)
online clustering
(1)
contrastive learning
(1)
depth estimation
(1)
representation learning
(1)
multi-label classification
(1)
domain generalization
(1)
knowledge distillation
(1)
feature learning
(1)
transformer architecture
(1)
Papers
VALIANT: Prompt Instability for Active Learning in Black-Box Medical Imaging
AAAI 2026
Self-Supervised Anomaly Segmentation via Diffusion Models with Dynamic Transformer UNet
WACV 2025
A Simple Framework for Open-Vocabulary Zero-Shot Segmentation
ICLR 2025
Un-Mixing Test-Time Normalization Statistics: Combatting Label Temporal Correlation
ICLR 2024
Combining Graph Transformers Based Multi-Label Active Learning and Informative Data Augmentation for Chest Xray Classification
AAAI 2024
CrIBo: Self-Supervised Learning via Cross-Image Object-Level Bootstrapping
ICLR 2024
Attention-Conditioned Augmentations for Self-Supervised Anomaly Detection and Localization
AAAI 2023
TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation
CVPR 2023
Adaptive Similarity Bootstrapping for Self-Distillation Based Representation Learning
ICCV 2023
ScoreNet: Learning Non-Uniform Attention and Augmentation for Transformer-Based Histopathological Image Classification
WACV 2023
CrOC: Cross-View Online Clustering for Dense Visual Representation Learning
CVPR 2023
OptTTA: Learnable Test-Time Augmentation for Source-Free Medical Image Segmentation Under Domain Shift
MIDL 2022
Self-Supervised Generative Style Transfer for One-Shot Medical Image Segmentation
WACV 2022
Self-Rule to Adapt: Learning Generalized Features from Sparsely-Labeled Data Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Phenotyping
MIDL 2021
Benefiting From Bicubically Down-Sampled Images for Learning Real-World Image Super-Resolution
WACV 2021
Quantifying Explainers of Graph Neural Networks in Computational Pathology
CVPR 2021
Pathological Retinal Region Segmentation From OCT Images Using Geometric Relation Based Augmentation
CVPR 2020
SynDeMo: Synergistic Deep Feature Alignment for Joint Learning of Depth and Ego-Motion
ICCV 2019
SROBB: Targeted Perceptual Loss for Single Image Super-Resolution
ICCV 2019