Filip Radenovic

According to our database, Filip Radenovic authored at least 30 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Aobo Yang, Archi Mitra, Archie Sravankumar, Artem Korenev, Arthur Hinsvark, Arun Rao, Aston Zhang, Aurélien Rodriguez, Austen Gregerson, Ava Spataru, Baptiste Rozière, Bethany Biron, Binh Tang, Bobbie Chern, Charlotte Caucheteux, Chaya Nayak, Chloe Bi, Chris Marra, Chris McConnell, Christian Keller, Christophe Touret, Chunyang Wu, Corinne Wong, Cristian Canton Ferrer, Cyrus Nikolaidis, Damien Allonsius, Daniel Song, Danielle Pintz, Danny Livshits, David Esiobu, Dhruv Choudhary, Dhruv Mahajan, Diego Garcia-Olano, Diego Perino, Dieuwke Hupkes, Egor Lakomkin, Ehab AlBadawy, Elina Lobanova, Emily Dinan, Eric Michael Smith, Filip Radenovic, Frank Zhang, Gabriel Synnaeve, Gabrielle Lee, Georgia Lewis Anderson, Graeme Nail, Grégoire Mialon, Guan Pang, Guillem Cucurell, Hailey Nguyen, Hannah Korevaar, Hu Xu, Hugo Touvron, Iliyan Zarov, Imanol Arrieta Ibarra, Isabel M. Kloumann, Ishan Misra, Ivan Evtimov, Jade Copet, Jaewon Lee, Jan Geffert, Jana Vranes, Jason Park, Jay Mahadeokar, Jeet Shah, Jelmer van der Linde, Jennifer Billock, Jenny Hong, Jenya Lee, Jeremy Fu, Jianfeng Chi, Jianyu Huang, Jiawen Liu, Jie Wang, Jiecao Yu, Joanna Bitton, Joe Spisak, Jongsoo Park, Joseph Rocca, Joshua Johnstun, Joshua Saxe, Junteng Jia, Kalyan Vasuden Alwala, Kartikeya Upasani, Kate Plawiak, Ke Li, Kenneth Heafield, Kevin Stone, et al.

CoRR, 2024

Context Diffusion: In-Context Aware Image Generation.

Ivona Najdenkoska, Animesh Sinha, Abhimanyu Dubey, Dhruv Mahajan, Vignesh Ramanathan, Filip Radenovic

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack.

Xiaoliang Dai, Ji Hou, Chih-Yao Ma, Sam S. Tsai, Jialiang Wang, Rui Wang, Peizhao Zhang, Simon Vandenhende, Xiaofang Wang, Abhimanyu Dubey, Matthew Yu, Abhishek Kadian, Filip Radenovic, Dhruv Mahajan, Kunpeng Li, Yue Zhao, Vladan Petrovic, Mitesh Kumar Singh, Simran Motwani, Yi Wen, Yiwen Song, Roshan Sumbaly, Vignesh Ramanathan, Zijian He, Peter Vajda, Devi Parikh

CoRR, 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

Cola: A Benchmark for Compositional Text-to-image Retrieval.

Arijit Ray, Filip Radenovic, Abhimanyu Dubey, Bryan A. Plummer, Ranjay Krishna, Kate Saenko

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training.

Filip Radenovic, Abhimanyu Dubey, Abhishek Kadian, Todor Mihaylov, Simon Vandenhende, Yash Patel, Yi Wen, Vignesh Ramanathan, Dhruv Mahajan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Neural Basis Models for Interpretability.

Filip Radenovic, Abhimanyu Dubey, Dhruv Mahajan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Scalable Interpretability via Polynomials.

Abhimanyu Dubey, Filip Radenovic, Dhruv Mahajan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Making Heads or Tails: Towards Semantically Consistent Visual Counterfactuals.

Simon Vandenhende, Dhruv Mahajan, Filip Radenovic, Deepti Ghadiyaram

Proceedings of the Computer Vision - ECCV 2022, 2022

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

Large-Scale Attribute-Object Compositions.

Filip Radenovic, Animesh Sinha, Albert Gordo, Tamara L. Berg, Dhruv Mahajan

CoRR, 2021

2020

Attention-Based Query Expansion Learning.

Albert Gordo, Filip Radenovic, Tamara L. Berg

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Fine-Tuning CNN Image Retrieval with No Human Annotation.

Filip Radenovic, Giorgos Tolias, Ondrej Chum

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Targeted Mismatch Adversarial Attack: Query With a Flower to Retrieve the Tower.

Giorgos Tolias, Filip Radenovic, Ondrej Chum

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Deep Shape Matching.

Filip Radenovic, Giorgos Tolias, Ondrej Chum

Proceedings of the Computer Vision - ECCV 2018, 2018

Repeatability Is Not Enough: Learning Affine Regions via Discriminability.

Dmytro Mishkin, Filip Radenovic, Jiri Matas

Proceedings of the Computer Vision - ECCV 2018, 2018

Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking.

Filip Radenovic, Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondrej Chum

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Learning Discriminative Affine Regions via Discriminability.

Dmytro Mishkin, Filip Radenovic, Jiri Matas

CoRR, 2017

Generic Sketch-Based Retrieval Learned without Drawing a Single Sketch.

Filip Radenovic, Giorgos Tolias, Ondrej Chum

CoRR, 2017

Working hard to know your neighbor's margins: Local descriptor learning loss.

Anastasya Mishchuk, Dmytro Mishkin, Filip Radenovic, Jiri Matas

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

CNN Image Retrieval Learns from BoW: Unsupervised Fine-Tuning with Hard Examples.

Filip Radenovic, Giorgos Tolias, Ondrej Chum

Proceedings of the Computer Vision - ECCV 2016, 2016

From Dusk Till Dawn: Modeling in the Dark.

Filip Radenovic, Johannes L. Schönberger, Dinghuang Ji, Jan-Michael Frahm, Ondrej Chum, Jiri Matas

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

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

Multiple Measurements and Joint Dimensionality Reduction for Large Scale Image Search with Short Vectors.

Filip Radenovic, Hervé Jégou, Ondrej Chum

Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, 2015

Hyperpoints and Fine Vocabularies for Large-Scale Location Recognition.

Torsten Sattler, Michal Havlena, Filip Radenovic, Konrad Schindler, Marc Pollefeys

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

From single image query to detailed 3D reconstruction.

Johannes L. Schönberger, Filip Radenovic, Ondrej Chum, Jan-Michael Frahm

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Camera Elevation Estimation from a Single Mountain Landscape Photograph.

Martin Cadík, Jan Vasícek, Michal Hradis, Filip Radenovic, Ondrej Chum

Proceedings of the British Machine Vision Conference 2015, 2015

2014

Efficient Image Detail Mining.

Andrej Mikulík, Filip Radenovic, Ondrej Chum, Jiri Matas

Proceedings of the Computer Vision - ACCV 2014, 2014

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

Analytical rigid body reconstruction after micro-Doppler removal.

Vesna Popovic-Bugarin, Filip Radenovic, Ljubisa Stankovic

Proceedings of the 8th International Symposium on Image and Signal Processing and Analysis, 2013