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Bozorgtabar, Behzad

  1. Efficient Active Learning for Image Classification and Segmentation using a Sample Selection and Conditional Generative Adversarial Network
    2018/06/14 by Mahapatra, Dwarikanath, Bozorgtabar, Behzad, Thiran, Jean-Philippe +1 · 5 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  2. SROBB: Targeted Perceptual Loss for Single Image Super-Resolution
    2019/08/20 by Rad, Mohammad Saeed, Bozorgtabar, Behzad, Marti, Urs-Viktor +3 · 3 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  3. CrOC: Cross-View Online Clustering for Dense Visual Representation Learning
    2023/03/23 by Stegmüller, Thomas, Lebailly, Tim, Bozorgtabar, Behzad +2 · 4 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  4. Weakly Supervised Joint Whole-Slide Segmentation and Classification in Prostate Cancer
    2023/01/07 by Pushpak Pati, Guillaume Jaume, Pati, Pushpak +11 · 3 citations
    Computer Science · Engineering · #AI in cancer detection #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Medical Image Segmentation Techniques #Medical Imaging and Analysis #electronic engineering #information engineering
  5. Learning Whole-Slide Segmentation from Inexact and Incomplete Labels\n using Tissue Graphs
    2021/03/04 by Valentin Anklin, Anklin, Valentin, Pushpak Pati +15 · 2 citations
    Computer Science · Medicine · #AI in cancer detection #Radiomics and Machine Learning in Medical Imaging #Digital Imaging for Blood Diseases
  6. Quantifying Explainers of Graph Neural Networks in Computational Pathology
    2020/11/25 by Jaume, Guillaume, Pati, Pushpak, Bozorgtabar, Behzad +7 · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  7. CrIBo: Self-Supervised Learning via Cross-Image Object-Level Bootstrapping
    2023/10/11 by Lebailly, Tim, Stegmüller, Thomas, Bozorgtabar, Behzad +2 · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  8. ScoreNet: Learning Non-Uniform Attention and Augmentation for\n Transformer-Based Histopathological Image Classification
    2022/02/15 by Thomas Stegmüller, Behzad Bozorgtabar, Stegmüller, Thomas +5 · 1 citation
    Computer Science · Engineering · #AI in cancer detection #Digital Imaging for Blood Diseases #Medical Imaging and Analysis
  9. Adaptive Similarity Bootstrapping for Self-Distillation based Representation Learning
    2023/03/23 by Lebailly, Tim, Stegmüller, Thomas, Bozorgtabar, Behzad +2 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  10. TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation
    2023/03/17 by Tomar, Devavrat, Vray, Guillaume, Bozorgtabar, Behzad +1 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  11. Un-Mixing Test-Time Normalization Statistics: Combatting Label Temporal Correlation
    2024/01/16 by Devavrat Tomar, Tomar, Devavrat, Guillaume Vray +5 · 1 citation
    Engineering · Biochemistry, Genetics and Molecular Biology · Computer Science · #Microfluidic and Capillary Electrophoresis Applications #Cancer-related molecular mechanisms research #Machine Learning and ELM
  12. MuGa-VTON: Multi-Garment Virtual Try-On via Diffusion Transformers with Prompt Customization
    2025/08/11 by Deria, Ankan, Mahapatra, Dwarikanath, Bozorgtabar, Behzad +3 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  13. A Simple Framework for Open-Vocabulary Zero-Shot Segmentation
    2024/06/23 by Thomas Stegmüller, Tim Lebailly, Stegmüller, Thomas +9 · 1 citation
    Materials Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Nuclear Materials and Properties