Ondřej Chum

Czech Technical University in Prague — Czech Republic

Computer Science · Physical Sciences

39h-index18.6kcitations131works0.82yr avg
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Research Topics

Advanced Image and Video Retrieval Techniques(92), Image Retrieval and Classification Techniques(46), Robotics and Sensor-Based Localization(34), Advanced Vision and Imaging(23), Multimodal Machine Learning Applications(19)

Publications131 total

Instance-Level Composed Image Retrieval
arXiv (Cornell University)·2025Open Access
Infusing Fine-Grained Visual Knowledge to Vision-Language Models
2025
Infusing fine-grained visual knowledge to Vision-Language Models
arXiv (Cornell University)·2025Open Access
ILIAS: Instance-Level Image retrieval At Scale
2025· 2 cited
Crafting Distribution Shifts for Validation and Training in Single Source Domain Generalization
2025· 2 cited
Composed Image Retrieval for Training-FREE DOMain Conversion
2025· 2 cited
ILIAS: Instance-Level Image retrieval At Scale
arXiv (Cornell University)·2025Open Access
Co-segmentation Without any Pixel-Level Supervision with Application to Large-Scale Sketch Classification
Lecture notes in computer science·2024
Composed Image Retrieval for Training-Free Domain Conversion
arXiv (Cornell University)·2024Open Access
Co-Segmentation without any Pixel-level Supervision with Application to Large-Scale Sketch Classification
arXiv (Cornell University)·2024Open Access
Crafting Distribution Shifts for Validation and Training in Single Source Domain Generalization
arXiv (Cornell University)·2024Open Access
Composed Image Retrieval for Remote Sensing
2024· 5 cited
UDON: Universal Dynamic Online distillatioN for generic image representations
arXiv (Cornell University)·2024Open Access
Composed Image Retrieval for Remote Sensing
arXiv (Cornell University)·2024Open Access
UDON: Universal Dynamic Online distillatioN for generic image representations
2024· 1 cited
Dark Side Augmentation: Generating Diverse Night Examples for Metric Learning
2023· 5 cited
Towards Universal Image Embeddings: A Large-Scale Dataset and Challenge for Generic Image Representations
2023· 11 cited
Dark Side Augmentation: Generating Diverse Night Examples for Metric Learning
arXiv (Cornell University)·2023Open Access
Towards Universal Image Embeddings: A Large-Scale Dataset and Challenge for Generic Image Representations
arXiv (Cornell University)·2023Open Access
Edge Augmentation for Large-Scale Sketch Recognition without Sketches
2022 26th International Conference on Pattern Recognition (ICPR)·2022· 6 cited
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Frequent Co-authors

Jiřı́ Matas(30), Giorgos Tolias(10), Michal Perďoch(8), Filip Radenović(7), Ahmet İşcen(6), Yannis Avrithis(6), James Philbin(5), Andrew Zisserman(5), Michael Isard(4), Andrej Mikulík(4), Josef Šivic(3), Jan‐Michael Frahm(3), Hervé Jeǵou(3), Teddy Furon(3), M. Urban(2), Tomáš Pajdla(2), Tomáš Werner(2), Johannes L. Schönberger(2), Andrew Zisserman(1), Josef Kittler(1)