Analytical rigid body reconstruction after micro-Doppler removal. - Vesna Popovic-Bugarin; Filip Radenovic; Ljubisa Stankovic (ISPA, 2013)

Genetic algorithm for rigid body reconstruction after micro-Doppler removal in the radar imaging analysis. - Ljubisa Stankovic; Vesna Popovic-Bugarin; Filip Radenovic (Signal Process., 2013)

Efficient Image Detail Mining. - Andrej Mikulík; Filip Radenovic; Ondrej Chum; Jiri Matas (ACCV (2), 2014)

Camera Elevation Estimation from a Single Mountain Landscape Photograph. - Martin Cadík; Jan Vasícek; Michal Hradis; Filip Radenovic; Ondrej Chum (BMVC, 2015)

From single image query to detailed 3D reconstruction. - Johannes L. Schönberger; Filip Radenovic; Ondrej Chum; Jan-Michael Frahm (CVPR, 2015)

Hyperpoints and Fine Vocabularies for Large-Scale Location Recognition. - Torsten Sattler; Michal Havlena; Filip Radenovic; Konrad Schindler; Marc Pollefeys (ICCV, 2015)

Multiple Measurements and Joint Dimensionality Reduction for Large Scale Image Search with Short Vectors. - Filip Radenovic; Hervé Jégou; Ondrej Chum (ICMR, 2015)

Multiple Measurements and Joint Dimensionality Reduction for Large Scale Image Search with Short Vectors - Extended Version. - Filip Radenovic; Hervé Jégou; Ondrej Chum (CoRR, 2015)

From Dusk Till Dawn: Modeling in the Dark. - Filip Radenovic; Johannes L. Schönberger; Dinghuang Ji; Jan-Michael Frahm; Ondrej Chum; Jiri Matas (CVPR, 2016)

CNN Image Retrieval Learns from BoW: Unsupervised Fine-Tuning with Hard Examples. - Filip Radenovic; Giorgos Tolias; Ondrej Chum (ECCV (1), 2016)

Working hard to know your neighbor's margins: Local descriptor learning loss. - Anastasya Mishchuk; Dmytro Mishkin; Filip Radenovic; Jiri Matas (NIPS, 2017)

Generic Sketch-Based Retrieval Learned without Drawing a Single Sketch. - Filip Radenovic; Giorgos Tolias; Ondrej Chum (CoRR, 2017)

Learning Discriminative Affine Regions via Discriminability. - Dmytro Mishkin; Filip Radenovic; Jiri Matas (CoRR, 2017)

Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking. - Filip Radenovic; Ahmet Iscen; Giorgos Tolias; Yannis Avrithis; Ondrej Chum (CVPR, 2018)

Repeatability Is Not Enough: Learning Affine Regions via Discriminability. - Dmytro Mishkin; Filip Radenovic; Jiri Matas (ECCV (9), 2018)

Deep Shape Matching. - Filip Radenovic; Giorgos Tolias; Ondrej Chum (ECCV (5), 2018)

Targeted Mismatch Adversarial Attack: Query With a Flower to Retrieve the Tower. - Giorgos Tolias; Filip Radenovic; Ondrej Chum (ICCV, 2019)

Fine-Tuning CNN Image Retrieval with No Human Annotation. - Filip Radenovic; Giorgos Tolias; Ondrej Chum (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Attention-Based Query Expansion Learning. - Albert Gordo; Filip Radenovic; Tamara L. Berg (ECCV (28), 2020)

Large-Scale Attribute-Object Compositions. - Filip Radenovic; Animesh Sinha; Albert Gordo; Tamara L. Berg; Dhruv Mahajan 001 (CoRR, 2021)

The 2021 Image Similarity Dataset and Challenge. - Matthijs Douze; Giorgos Tolias; Ed Pizzi; Zoë Papakipos; Lowik Chanussot; Filip Radenovic; Tomás Jenícek; Maxim Maximov; Laura Leal-Taixé; Ismail Elezi; Ondrej Chum; Cristian Canton-Ferrer (CoRR, 2021)

Making Heads or Tails: Towards Semantically Consistent Visual Counterfactuals. - Simon Vandenhende; Dhruv Mahajan 001; Filip Radenovic; Deepti Ghadiyaram (ECCV (12), 2022)

Scalable Interpretability via Polynomials. - Abhimanyu Dubey; Filip Radenovic; Dhruv Mahajan 001 (NeurIPS, 2022)

Neural Basis Models for Interpretability. - Filip Radenovic; Abhimanyu Dubey; Dhruv Mahajan 001 (NeurIPS, 2022)

Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training. - Filip Radenovic; Abhimanyu Dubey; Abhishek Kadian; Todor Mihaylov; Simon Vandenhende; Yash Patel; Yi Wen 006; Vignesh Ramanathan; Dhruv Mahajan 001 (CVPR, 2023)

Cola: A Benchmark for Compositional Text-to-image Retrieval. - Arijit Ray; Filip Radenovic; Abhimanyu Dubey; Bryan A. Plummer; Ranjay Krishna; Kate Saenko (NeurIPS, 2023)

COLA: How to adapt vision-language models to Compose Objects Localized with Attributes? - Arijit Ray; Filip Radenovic; Abhimanyu Dubey; Bryan A. Plummer; Ranjay Krishna; Kate Saenko (CoRR, 2023)

Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack. - Xiaoliang Dai; Ji Hou; Chih-Yao Ma; Sam S. Tsai; Jialiang Wang 001; Rui Wang 067; Peizhao Zhang; Simon Vandenhende; Xiaofang Wang; Abhimanyu Dubey; Matthew Yu; Abhishek Kadian; et al. (CoRR, 2023)

Context Diffusion: In-Context Aware Image Generation. - Ivona Najdenkoska; Animesh Sinha; Abhimanyu Dubey; Dhruv Mahajan 001; Vignesh Ramanathan; Filip Radenovic (ECCV (77), 2024)

The Llama 3 Herd of Models. - Abhimanyu Dubey; Abhinav Jauhri; Abhinav Pandey; Abhishek Kadian; Ahmad Al-Dahle; Aiesha Letman; Akhil Mathur; Alan Schelten; Amy Yang; Angela Fan; Anirudh Goyal; Anthony Hartshorn; et al. (CoRR, 2024)