Mirosław Bober

Silesian University of Technology — Poland

Computer Science · Physical Sciences

18h-index1.8kcitations151works0.32yr avg
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Research Topics

Advanced Image and Video Retrieval Techniques(44), Image Retrieval and Classification Techniques(33), Advanced Vision and Imaging(27), Video Analysis and Summarization(18), Robotics and Sensor-Based Localization(13)

Publications151 total

Bridging Self-Supervision and Mechanism of Action Discovery in Morphological Profiling
2025
Interactive Bicycle Route Planning System Using an Efficient Dijkstra-Based Algorithm
Communications in computer and information science·2025
A novel dynamic risk score to predict Clinically Significant Bleeding (CSB) after 3 months of anticoagulation in patients with incident Venous ThromboEmbolism (VTE) and without active cancer
European Heart Journal·2024
A novel dynamic risk score to predict venous thromboembolism (VTE) recurrences after 3 months of anticoagulation in patients with incident VTE and without active cancer
European Heart Journal·2024
Deep Fisher-Vector Descriptors for Image Retrieval and Scene Recognition
2024
A Market-Ready Ecosystem for Publishing and Reading Augmented Books
Lecture notes in computer science·2024· 2 cited
Importance Weighted Structure Learning for Scene Graph Generation
IEEE Transactions on Pattern Analysis and Machine Intelligence·2023· 4 cited
Constrained Structure Learning for Scene Graph Generation
IEEE Transactions on Pattern Analysis and Machine Intelligence·2023· 13 cited
Single-cell subcellular protein localisation using novel ensembles of diverse deep architectures
Communications Biology·2023· 11 citedOpen Access
Neural Belief Propagation for Scene Graph Generation
IEEE Transactions on Pattern Analysis and Machine Intelligence·2023Open Access
Detection of Necrosis in Digitised Whole-Slide Images for Better Grading of Canine Soft-Tissue Sarcomas Using Machine-Learning
Veterinary Sciences·2023· 13 citedOpen Access
Understanding the Distributions of Aggregation Layers in Deep Neural Networks
IEEE Transactions on Neural Networks and Learning Systems·2022· 1 cited
Efficient Hybrid Network: Inducting Scattering Features
2022 26th International Conference on Pattern Recognition (ICPR)·2022· 2 cited
Deep learning for necrosis detection using canine perivascular wall tumour whole slide images
Scientific Reports·2022· 14 citedOpen Access
Doubly Reparameterized Importance Weighted Structure Learning for Scene Graph Generation
arXiv (Cornell University)·2022Open Access
Single-cell Subcellular Protein Localisation Using Novel Ensembles of Diverse Deep Architectures
arXiv (Cornell University)·2022Open Access
Importance Weighted Structure Learning for Scene Graph Generation
arXiv (Cornell University)·2022Open Access
Efficient Hybrid Network: Inducting Scattering Features
arXiv (Cornell University)·2022Open Access
Deep Learning for Necrosis Detection Using Canine Perivascular Wall Tumour Whole Slide Images
Research Square (Research Square)·2022Open Access
Constrained Structure Learning for Scene Graph Generation
arXiv (Cornell University)·2022Open Access
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Frequent Co-authors

Josef Kittler(11), Syed Sameed Husain(7), Eng-Jon Ong(5), Kevin Wells(5), Farzin Mokhtarian(4), David Windridge(4), Stavros Paschalakis(4), Kui Zhang(4), Paul Brasnett(4), Ambra Morisi(4), Barbara Bacci(4), Nicholas J. Bacon(4), Spencer A. Thomas(4), Roberto M. La Ragione(4), Santosh Tirunagari(3), Norman Poh(3), Mikel Bober-Irizar(3), Taranpreet Rai(3), Daqi Liu(2), Władysław Skarbek(2)