Filip Radenovic

Orcid: 0000-0002-7122-2765

According to our database1, Filip Radenovic authored at least 29 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Context Diffusion: In-Context Aware Image Generation.
CoRR, 2023

Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack.
CoRR, 2023

COLA: How to adapt vision-language models to Compose Objects Localized with Attributes?
CoRR, 2023

Cola: A Benchmark for Compositional Text-to-image Retrieval.
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.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Neural Basis Models for Interpretability.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Scalable Interpretability via Polynomials.
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.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
The 2021 Image Similarity Dataset and Challenge.
CoRR, 2021

Large-Scale Attribute-Object Compositions.
CoRR, 2021

2020
Attention-Based Query Expansion Learning.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Fine-Tuning CNN Image Retrieval with No Human Annotation.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Targeted Mismatch Adversarial Attack: Query With a Flower to Retrieve the Tower.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Deep Shape Matching.
Proceedings of the Computer Vision - ECCV 2018, 2018

Repeatability Is Not Enough: Learning Affine Regions via Discriminability.
Proceedings of the Computer Vision - ECCV 2018, 2018

Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Learning Discriminative Affine Regions via Discriminability.
CoRR, 2017

Generic Sketch-Based Retrieval Learned without Drawing a Single Sketch.
CoRR, 2017

Working hard to know your neighbor's margins: Local descriptor learning loss.
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.
Proceedings of the Computer Vision - ECCV 2016, 2016

From Dusk Till Dawn: Modeling in the Dark.
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.
CoRR, 2015

Multiple Measurements and Joint Dimensionality Reduction for Large Scale Image Search with Short Vectors.
Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, 2015

Hyperpoints and Fine Vocabularies for Large-Scale Location Recognition.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

From single image query to detailed 3D reconstruction.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Camera Elevation Estimation from a Single Mountain Landscape Photograph.
Proceedings of the British Machine Vision Conference 2015, 2015

2014
Efficient Image Detail Mining.
Proceedings of the Computer Vision - ACCV 2014, 2014

2013
Genetic algorithm for rigid body reconstruction after micro-Doppler removal in the radar imaging analysis.
Signal Process., 2013

Analytical rigid body reconstruction after micro-Doppler removal.
Proceedings of the 8th International Symposium on Image and Signal Processing and Analysis, 2013


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