André Araújo

Orcid: 0000-0002-4214-6185

Affiliations:
  • Google Research, Google AI, USA
  • Stanford University, Department of electrical engineering, CA, USA (PhD 2016)


According to our database1, André Araújo authored at least 39 papers between 2011 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
TIPS: Text-Image Pretraining with Spatial Awareness.
CoRR, 2024

UDON: Universal Dynamic Online distillatioN for generic image representations.
CoRR, 2024

HAMMR: HierArchical MultiModal React agents for generic VQA.
CoRR, 2024

XFeat: Accelerated Features for Lightweight Image Matching.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

OmniGlue: Generalizable Feature Matching with Foundation Model Guidance.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

LFM-3D: Learnable Feature Matching Across Wide Baselines Using 3D Signals.
Proceedings of the International Conference on 3D Vision, 2024

2023
Optimization of Rank Losses for Image Retrieval.
CoRR, 2023

NAVI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Universal Image Embeddings: A Large-Scale Dataset and Challenge for Generic Image Representations.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Global Features are All You Need for Image Retrieval and Reranking.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Encyclopedic VQA: Visual questions about detailed properties of fine-grained categories.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Yes, we CANN: Constrained Approximate Nearest Neighbors for local feature-based visual localization.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Enhancing Deformable Local Features by Jointly Learning to Detect and Describe Keypoints.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Improving Fairness in Large-Scale Object Recognition by CrowdSourced Demographic Information.
CoRR, 2022

2021
Towards A Fairer Landmark Recognition Dataset.
CoRR, 2021

Class-Balanced Distillation for Long-Tailed Visual Recognition.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
Unifying Deep Local and Global Features for Efficient Image Search.
CoRR, 2020

Deep Image Features for Instance-level Recognition and Matching.
Proceedings of the SUMAC'20: Proceedings of the 2nd Workshop on Structuring and Understanding of Multimedia heritAge Contents, 2020

Unifying Deep Local and Global Features for Image Search.
Proceedings of the Computer Vision - ECCV 2020, 2020

Google Landmarks Dataset v2 - A Large-Scale Benchmark for Instance-Level Recognition and Retrieval.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Recurrent Neural Networks for Person Re-identification Revisited.
Proceedings of the 2nd IEEE Conference on Multimedia Information Processing and Retrieval, 2019

Detect-To-Retrieve: Efficient Regional Aggregation for Image Search.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Large-Scale Video Retrieval Using Image Queries.
IEEE Trans. Circuits Syst. Video Technol., 2018

2017
Large-Scale Image Retrieval with Attentive Deep Local Features.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Effective Fisher vector aggregation for 3D object retrieval.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Image Retrieval with Deep Local Features and Attention-based Keypoints.
CoRR, 2016

Large-Scale Query-by-Image Video Retrieval Using Bloom Filters.
CoRR, 2016

Modeling the impact of keypoint detection errors on local descriptor similarity.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015
Stanford I2V: a news video dataset for query-by-image experiments.
Proceedings of the 6th ACM Multimedia Systems Conference, 2015

Temporal aggregation for large-scale query-by-image video retrieval.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014
Real-time query-by-image video search system.
Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

Interframe compression with selective update framework of local features for mobile augmented reality.
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2014

Efficient video search using image queries.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Interframe Coding of Global Image Signatures for Mobile Augmented Reality.
Proceedings of the Data Compression Conference, 2014

2013
EigenNews: a personalized news video delivery platform.
Proceedings of the ACM Multimedia Conference, 2013

Eigennews: Generating and delivering personalized news video.
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2013

Analysis of visual similarity in news videos with robust and memory-efficient image retrieval.
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2013

2012
The Stanford/Technicolor/Fraunhofer HHI Video Semantic Indexing System.
Proceedings of the 2012 TREC Video Retrieval Evaluation, 2012

2011
Compression of VQM features for low bit-rate video quality monitoring.
Proceedings of the IEEE 13th International Workshop on Multimedia Signal Processing (MMSP 2011), 2011


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