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2020 – today
- 2024
[i20]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 abs/2407.21783 (2024)- 2023
- [c19]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: 6967-6977 - [c18]Arijit Ray, Filip Radenovic, Abhimanyu Dubey, Bryan A. Plummer, Ranjay Krishna, Kate Saenko:
Cola: A Benchmark for Compositional Text-to-image Retrieval. NeurIPS 2023 - [i19]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 abs/2301.02280 (2023) - [i18]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 abs/2305.03689 (2023) - [i17]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 abs/2309.15807 (2023) - [i16]Ivona Najdenkoska, Animesh Sinha, Abhimanyu Dubey, Dhruv Mahajan, Vignesh Ramanathan, Filip Radenovic:
Context Diffusion: In-Context Aware Image Generation. CoRR abs/2312.03584 (2023) - 2022
- [c17]Simon Vandenhende, Dhruv Mahajan, Filip Radenovic, Deepti Ghadiyaram:
Making Heads or Tails: Towards Semantically Consistent Visual Counterfactuals. ECCV (12) 2022: 261-279 - [c16]Abhimanyu Dubey, Filip Radenovic, Dhruv Mahajan:
Scalable Interpretability via Polynomials. NeurIPS 2022 - [c15]Filip Radenovic, Abhimanyu Dubey, Dhruv Mahajan:
Neural Basis Models for Interpretability. NeurIPS 2022 - [i15]Simon Vandenhende, Dhruv Mahajan, Filip Radenovic, Deepti Ghadiyaram:
Making Heads or Tails: Towards Semantically Consistent Visual Counterfactuals. CoRR abs/2203.12892 (2022) - [i14]Abhimanyu Dubey, Filip Radenovic, Dhruv Mahajan:
Scalable Interpretability via Polynomials. CoRR abs/2205.14108 (2022) - [i13]Filip Radenovic, Abhimanyu Dubey, Dhruv Mahajan:
Neural Basis Models for Interpretability. CoRR abs/2205.14120 (2022) - 2021
- [i12]Filip Radenovic, Animesh Sinha, Albert Gordo, Tamara L. Berg, Dhruv Mahajan:
Large-Scale Attribute-Object Compositions. CoRR abs/2105.11373 (2021) - [i11]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 abs/2106.09672 (2021) - 2020
- [c14]Albert Gordo
, Filip Radenovic, Tamara L. Berg:
Attention-Based Query Expansion Learning. ECCV (28) 2020: 172-188 - [i10]Albert Gordo, Filip Radenovic, Tamara L. Berg:
Attention-Based Query Expansion Learning. CoRR abs/2007.08019 (2020)
2010 – 2019
- 2019
- [j2]Filip Radenovic, Giorgos Tolias, Ondrej Chum:
Fine-Tuning CNN Image Retrieval with No Human Annotation. IEEE Trans. Pattern Anal. Mach. Intell. 41(7): 1655-1668 (2019) - [c13]Giorgos Tolias, Filip Radenovic, Ondrej Chum:
Targeted Mismatch Adversarial Attack: Query With a Flower to Retrieve the Tower. ICCV 2019: 5036-5045 - [i9]Giorgos Tolias, Filip Radenovic, Ondrej Chum:
Targeted Mismatch Adversarial Attack: Query with a Flower to Retrieve the Tower. CoRR abs/1908.09163 (2019) - 2018
- [c12]Filip Radenovic, Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondrej Chum:
Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking. CVPR 2018: 5706-5715 - [c11]Dmytro Mishkin, Filip Radenovic, Jiri Matas:
Repeatability Is Not Enough: Learning Affine Regions via Discriminability. ECCV (9) 2018: 287-304 - [c10]Filip Radenovic, Giorgos Tolias, Ondrej Chum:
Deep Shape Matching. ECCV (5) 2018: 774-791 - [i8]Filip Radenovic, Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondrej Chum:
Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking. CoRR abs/1803.11285 (2018) - 2017
- [c9]Anastasya Mishchuk, Dmytro Mishkin, Filip Radenovic, Jiri Matas:
Working hard to know your neighbor's margins: Local descriptor learning loss. NIPS 2017: 4826-4837 - [i7]Anastasiya Mishchuk, Dmytro Mishkin, Filip Radenovic, Jiri Matas:
Working hard to know your neighbor's margins: Local descriptor learning loss. CoRR abs/1705.10872 (2017) - [i6]Filip Radenovic, Giorgos Tolias, Ondrej Chum:
Generic Sketch-Based Retrieval Learned without Drawing a Single Sketch. CoRR abs/1709.03409 (2017) - [i5]Filip Radenovic, Giorgos Tolias, Ondrej Chum:
Fine-tuning CNN Image Retrieval with No Human Annotation. CoRR abs/1711.02512 (2017) - [i4]Dmytro Mishkin, Filip Radenovic, Jiri Matas:
Learning Discriminative Affine Regions via Discriminability. CoRR abs/1711.06704 (2017) - 2016
- [c8]Filip Radenovic, Johannes L. Schönberger, Dinghuang Ji, Jan-Michael Frahm, Ondrej Chum, Jiri Matas:
From Dusk Till Dawn: Modeling in the Dark. CVPR 2016: 5488-5496 - [c7]Filip Radenovic, Giorgos Tolias, Ondrej Chum:
CNN Image Retrieval Learns from BoW: Unsupervised Fine-Tuning with Hard Examples. ECCV (1) 2016: 3-20 - [i3]Filip Radenovic, Giorgos Tolias, Ondrej Chum:
CNN Image Retrieval Learns from BoW: Unsupervised Fine-Tuning with Hard Examples. CoRR abs/1604.02426 (2016) - [i2]Martin Cadík, Jan Vasícek, Michal Hradis, Filip Radenovic, Ondrej Chum:
Camera Elevation Estimation from a Single Mountain Landscape Photograph. CoRR abs/1607.03305 (2016) - 2015
- [c6]Martin Cadík, Jan Vasícek, Michal Hradis, Filip Radenovic, Ondrej Chum:
Camera Elevation Estimation from a Single Mountain Landscape Photograph. BMVC 2015: 30.1-30.12 - [c5]Johannes L. Schönberger, Filip Radenovic, Ondrej Chum, Jan-Michael Frahm:
From single image query to detailed 3D reconstruction. CVPR 2015: 5126-5134 - [c4]Torsten Sattler, Michal Havlena, Filip Radenovic, Konrad Schindler, Marc Pollefeys:
Hyperpoints and Fine Vocabularies for Large-Scale Location Recognition. ICCV 2015: 2102-2110 - [c3]Filip Radenovic, Hervé Jégou, Ondrej Chum:
Multiple Measurements and Joint Dimensionality Reduction for Large Scale Image Search with Short Vectors. ICMR 2015: 587-590 - [i1]Filip Radenovic, Hervé Jégou, Ondrej Chum:
Multiple Measurements and Joint Dimensionality Reduction for Large Scale Image Search with Short Vectors - Extended Version. CoRR abs/1504.03285 (2015) - 2014
- [c2]Andrej Mikulík, Filip Radenovic, Ondrej Chum, Jiri Matas:
Efficient Image Detail Mining. ACCV (2) 2014: 118-132 - 2013
- [j1]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): 1921-1932 (2013) - [c1]Vesna Popovic-Bugarin, Filip Radenovic, Ljubisa Stankovic:
Analytical rigid body reconstruction after micro-Doppler removal. ISPA 2013: 314-319
Coauthor Index
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last updated on 2024-08-27 22:54 CEST by the dblp team
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