Filip Radenovic

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 33

Top Topics

Query Expansion

Dimensionality Reduction

Image Retrieval

Top Venues

Publications

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.
The Llama 3 Herd of Models. CoRR (2024)
Arijit Ray, Filip Radenovic, Abhimanyu Dubey, Bryan A. Plummer, Ranjay Krishna, Kate Saenko
COLA: How to adapt vision-language models to Compose Objects Localized with Attributes? CoRR (2023)
Arijit Ray, Filip Radenovic, Abhimanyu Dubey, Bryan A. Plummer, Ranjay Krishna, Kate Saenko
Cola: A Benchmark for Compositional Text-to-image Retrieval. NeurIPS (2023)
Filip Radenovic, Abhimanyu Dubey, Abhishek Kadian, Todor Mihaylov, Simon Vandenhende, Yash Patel, Yi Wen, Vignesh Ramanathan, Dhruv Mahajan
Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training. CoRR (2023)
Ivona Najdenkoska, Animesh Sinha, Abhimanyu Dubey, Dhruv Mahajan, Vignesh Ramanathan, Filip Radenovic
Context Diffusion: In-Context Aware Image Generation. CoRR (2023)
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
Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack. CoRR (2023)
Filip Radenovic, Abhimanyu Dubey, Abhishek Kadian, Todor Mihaylov, Simon Vandenhende, Yash Patel, Yi Wen, Vignesh Ramanathan, Dhruv Mahajan
Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training. CVPR (2023)
Simon Vandenhende, Dhruv Mahajan, Filip Radenovic, Deepti Ghadiyaram
Making Heads or Tails: Towards Semantically Consistent Visual Counterfactuals. ECCV (12) (2022)
Filip Radenovic, Abhimanyu Dubey, Dhruv Mahajan
Neural Basis Models for Interpretability. CoRR (2022)
Filip Radenovic, Abhimanyu Dubey, Dhruv Mahajan
Neural Basis Models for Interpretability. NeurIPS (2022)
Abhimanyu Dubey, Filip Radenovic, Dhruv Mahajan
Scalable Interpretability via Polynomials. NeurIPS (2022)
Simon Vandenhende, Dhruv Mahajan, Filip Radenovic, Deepti Ghadiyaram
Making Heads or Tails: Towards Semantically Consistent Visual Counterfactuals. CoRR (2022)
Abhimanyu Dubey, Filip Radenovic, Dhruv Mahajan
Scalable Interpretability via Polynomials. CoRR (2022)
Filip Radenovic, Animesh Sinha, Albert Gordo, Tamara Berg, Dhruv Mahajan
Large-Scale Attribute-Object Compositions. CoRR (2021)
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
The 2021 Image Similarity Dataset and Challenge. CoRR (2021)
Albert Gordo, Filip Radenovic, Tamara Berg
Attention-Based Query Expansion Learning. ECCV (28) (2020)
Albert Gordo, Filip Radenovic, Tamara Berg
Attention-Based Query Expansion Learning. CoRR (2020)
Filip Radenovic, Giorgos Tolias, Ondrej Chum
Fine-Tuning CNN Image Retrieval with No Human Annotation. IEEE Trans. Pattern Anal. Mach. Intell. 41 (7) (2019)
Giorgos Tolias, Filip Radenovic, Ondrej Chum
Targeted Mismatch Adversarial Attack: Query with a Flower to Retrieve the Tower. CoRR (2019)
Giorgos Tolias, Filip Radenovic, Ondrej Chum
Targeted Mismatch Adversarial Attack: Query With a Flower to Retrieve the Tower. ICCV (2019)
Filip Radenovic, Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondrej Chum
Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking. CoRR (2018)
Filip Radenovic, Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondrej Chum
Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking. CVPR (2018)
Dmytro Mishkin, Filip Radenovic, Jiri Matas
Repeatability Is Not Enough: Learning Affine Regions via Discriminability. ECCV (9) (2018)
Filip Radenovic, Giorgos Tolias, Ondrej Chum
Deep Shape Matching. ECCV (5) (2018)
Filip Radenovic, Giorgos Tolias, Ondrej Chum
Fine-tuning CNN Image Retrieval with No Human Annotation. CoRR (2017)
Anastasiya Mishchuk, Dmytro Mishkin, Filip Radenovic, Jiri Matas
Working hard to know your neighbor's margins: Local descriptor learning loss. CoRR (2017)
Filip Radenovic, Giorgos Tolias, Ondrej Chum
Generic Sketch-Based Retrieval Learned without Drawing a Single Sketch. CoRR (2017)
Anastasya Mishchuk, Dmytro Mishkin, Filip Radenovic, Jiri Matas
Working hard to know your neighbor's margins: Local descriptor learning loss. NIPS (2017)
Dmytro Mishkin, Filip Radenovic, Jiri Matas
Learning Discriminative Affine Regions via Discriminability. CoRR (2017)
Filip Radenovic, Johannes L. Schönberger, Dinghuang Ji, Jan-Michael Frahm, Ondrej Chum, Jiri Matas
From Dusk Till Dawn: Modeling in the Dark. CVPR (2016)
Martin Cadík, Jan Vasícek, Michal Hradis, Filip Radenovic, Ondrej Chum
Camera Elevation Estimation from a Single Mountain Landscape Photograph. CoRR (2016)
Filip Radenovic, Giorgos Tolias, Ondrej Chum
CNN Image Retrieval Learns from BoW: Unsupervised Fine-Tuning with Hard Examples. ECCV (1) (2016)
Filip Radenovic, Giorgos Tolias, Ondrej Chum
CNN Image Retrieval Learns from BoW: Unsupervised Fine-Tuning with Hard Examples. CoRR (2016)
Filip Radenovic, Hervé Jégou, Ondrej Chum
Multiple Measurements and Joint Dimensionality Reduction for Large Scale Image Search with Short Vectors. ICMR (2015)
Torsten Sattler, Michal Havlena, Filip Radenovic, Konrad Schindler, Marc Pollefeys
Hyperpoints and Fine Vocabularies for Large-Scale Location Recognition. ICCV (2015)
Filip Radenovic, Hervé Jégou, Ondrej Chum
Multiple Measurements and Joint Dimensionality Reduction for Large Scale Image Search with Short Vectors - Extended Version. CoRR (2015)
Johannes L. Schönberger, Filip Radenovic, Ondrej Chum, Jan-Michael Frahm
From single image query to detailed 3D reconstruction. CVPR (2015)
Martin Cadík, Jan Vasícek, Michal Hradis, Filip Radenovic, Ondrej Chum
Camera Elevation Estimation from a Single Mountain Landscape Photograph. BMVC (2015)
Andrej Mikulík, Filip Radenovic, Ondrej Chum, Jiri Matas
Efficient Image Detail Mining. ACCV (2) (2014)
Ljubisa Stankovic, Vesna Popovic-Bugarin, Filip Radenovic
Genetic algorithm for rigid body reconstruction after micro-Doppler removal in the radar imaging analysis. Signal Process. 93 (7) (2013)
Vesna Popovic-Bugarin, Filip Radenovic, Ljubisa Stankovic
Analytical rigid body reconstruction after micro-Doppler removal. ISPA (2013)