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ORCIDAndré Araújo 0001
Person information
- affiliation: Google Research, Google AI, USA
- affiliation (PhD 2016): Stanford University, Department of electrical engineering, CA, USA
Other persons with the same name
- André Araújo — disambiguation page
- André P. D. de Araújo
![[0009-0000-8195-7485]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0009-0000-8195-7485")
(aka: André Paulo Dantas de Araújo, André Araújo 0002) — Universidade Federal Fluminense, Institute of Computing, Niteroi, Brazil
2020 – today
- 2025
[j2]Elias Ramzi, Nicolas Audebert, Clément Rambour, André Araújo, Xavier Bitot, Nicolas Thome:
Optimization of Rank Losses for Image Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 47(6): 4317-4329 (2025)- 2024
- [c30]Arjun Karpur, Guilherme Perrotta, Ricardo Martin-Brualla, Howard Zhou, André Araújo:
LFM-3D: Learnable Feature Matching Across Wide Baselines Using 3D Signals. 3DV 2024: 11-20 - [c29]Guilherme A. Potje, Felipe Cadar, André Araújo, Renato Martins, Erickson R. Nascimento:
XFeat: Accelerated Features for Lightweight Image Matching. CVPR 2024: 2682-2691 - [c28]Hanwen Jiang, Arjun Karpur, Bingyi Cao, Qixing Huang, André Araújo:
OmniGlue: Generalizable Feature Matching with Foundation Model Guidance. CVPR 2024: 19865-19875 - [c27]Nikolaos-Antonios Ypsilantis, Kaifeng Chen, André Araújo, Ondrej Chum:
UDON: Universal Dynamic Online distillatioN for generic image representations. NeurIPS 2024 - [i22]Lluís Castrejón, Thomas Mensink, Howard Zhou, Vittorio Ferrari, André Araújo, Jasper R. R. Uijlings:
HAMMR: HierArchical MultiModal React agents for generic VQA. CoRR abs/2404.05465 (2024) - [i21]Guilherme A. Potje, Felipe Cadar, André Araújo, Renato Martins, Erickson R. Nascimento:
XFeat: Accelerated Features for Lightweight Image Matching. CoRR abs/2404.19174 (2024) - [i20]Hanwen Jiang, Arjun Karpur, Bingyi Cao, Qixing Huang, André Araújo:
OmniGlue: Generalizable Feature Matching with Foundation Model Guidance. CoRR abs/2405.12979 (2024) - [i19]Nikolaos-Antonios Ypsilantis, Kaifeng Chen, André Araújo, Ondrej Chum:
UDON: Universal Dynamic Online distillatioN for generic image representations. CoRR abs/2406.08332 (2024) - [i18]Kevis-Kokitsi Maninis, Kaifeng Chen, Soham Ghosh, Arjun Karpur, Koert Chen, Ye Xia, Bingyi Cao, Daniel Salz, Guangxing Han, Jan Dlabal, Dan Gnanapragasam, Mojtaba Seyedhosseini, Howard Zhou, André Araújo:
TIPS: Text-Image Pretraining with Spatial Awareness. CoRR abs/2410.16512 (2024) - 2023
- [c26]Guilherme A. Potje, Felipe Cadar, André Araújo, Renato Martins, Erickson R. Nascimento:
Enhancing Deformable Local Features by Jointly Learning to Detect and Describe Keypoints. CVPR 2023: 1306-1315 - [c25]Thomas Mensink, Jasper R. R. Uijlings, Lluís Castrejón, Arushi Goel, Felipe Cadar, Howard Zhou, Fei Sha, André Araújo, Vittorio Ferrari:
Encyclopedic VQA: Visual questions about detailed properties of fine-grained categories. ICCV 2023: 3090-3101 - [c24]Shihao Shao, Kaifeng Chen, Arjun Karpur, Qinghua Cui, André Araújo, Bingyi Cao:
Global Features are All You Need for Image Retrieval and Reranking. ICCV 2023: 11002-11012 - [c23]Nikolaos-Antonios Ypsilantis, Kaifeng Chen, Bingyi Cao, Mário Lipovský, Pelin Dogan-Schönberger, Grzegorz Makosa, Boris Bluntschli, Mojtaba Seyedhosseini, Ondrej Chum, André Araújo:
Towards Universal Image Embeddings: A Large-Scale Dataset and Challenge for Generic Image Representations. ICCV 2023: 11256-11267 - [c22]Dror Aiger, André Araújo, Simon Lynen:
Yes, we CANN: Constrained Approximate Nearest Neighbors for local feature-based visual localization. ICCV 2023: 13293-13303 - [c21]Varun Jampani, Kevis-Kokitsi Maninis, Andreas Engelhardt, Arjun Karpur, Karen Truong, Kyle Sargent, Stefan Popov, André Araújo, Ricardo Martin-Brualla, Kaushal Patel, Daniel Vlasic, Vittorio Ferrari, Ameesh Makadia, Ce Liu, Yuanzhen Li, Howard Zhou:
NAVI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations. NeurIPS 2023 - [i17]Arjun Karpur, Guilherme Perrotta, Ricardo Martin-Brualla, Howard Zhou, André Araújo:
LFM-3D: Learnable Feature Matching Across Wide Baselines Using 3D Signals. CoRR abs/2303.12779 (2023) - [i16]Guilherme A. Potje, Felipe Cadar, André Araújo, Renato Martins, Erickson R. Nascimento:
Enhancing Deformable Local Features by Jointly Learning to Detect and Describe Keypoints. CoRR abs/2304.00583 (2023) - [i15]Dror Aiger, André Araújo, Simon Lynen:
Yes, we CANN: Constrained Approximate Nearest Neighbors for local feature-based visual localization. CoRR abs/2306.09012 (2023) - [i14]Varun Jampani, Kevis-Kokitsi Maninis, Andreas Engelhardt, Arjun Karpur, Karen Truong, Kyle Sargent, Stefan Popov, André Araújo, Ricardo Martin-Brualla, Kaushal Patel, Daniel Vlasic, Vittorio Ferrari, Ameesh Makadia, Ce Liu, Yuanzhen Li, Howard Zhou:
NAVI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations. CoRR abs/2306.09109 (2023) - [i13]Thomas Mensink, Jasper R. R. Uijlings, Lluís Castrejón, Arushi Goel, Felipe Cadar, Howard Zhou, Fei Sha, André Araújo, Vittorio Ferrari:
Encyclopedic VQA: Visual questions about detailed properties of fine-grained categories. CoRR abs/2306.09224 (2023) - [i12]Shihao Shao, Kaifeng Chen, Arjun Karpur, Qinghua Cui, André Araújo, Bingyi Cao:
Global Features are All You Need for Image Retrieval and Reranking. CoRR abs/2308.06954 (2023) - [i11]Nikolaos-Antonios Ypsilantis, Kaifeng Chen, Bingyi Cao, Mário Lipovský, Pelin Dogan-Schönberger, Grzegorz Makosa, Boris Bluntschli, Mojtaba Seyedhosseini, Ondrej Chum, André Araújo:
Towards Universal Image Embeddings: A Large-Scale Dataset and Challenge for Generic Image Representations. CoRR abs/2309.01858 (2023) - [i10]Elias Ramzi, Nicolas Audebert, Clément Rambour, André Araújo, Xavier Bitot, Nicolas Thome:
Optimization of Rank Losses for Image Retrieval. CoRR abs/2309.08250 (2023) - 2022
- [i9]Zu Kim, André Araújo, Bingyi Cao, Cam Askew, Jack Sim, Mike Green, N'Mah Fodiatu Yilla, Tobias Weyand:
Improving Fairness in Large-Scale Object Recognition by CrowdSourced Demographic Information. CoRR abs/2206.01326 (2022) - 2021
- [c20]Ahmet Iscen, André Araújo, Boqing Gong, Cordelia Schmid:
Class-Balanced Distillation for Long-Tailed Visual Recognition. BMVC 2021: 165 - [i8]Ahmet Iscen, André Araújo, Boqing Gong, Cordelia Schmid:
Class-Balanced Distillation for Long-Tailed Visual Recognition. CoRR abs/2104.05279 (2021) - [i7]Zu Kim, André Araújo, Bingyi Cao, Cam Askew, Jack Sim, Mike Green, N'Mah Fodiatu Yilla, Tobias Weyand:
Towards A Fairer Landmark Recognition Dataset. CoRR abs/2108.08874 (2021) - 2020
- [c19]Tobias Weyand, André Araújo, Bingyi Cao, Jack Sim:
Google Landmarks Dataset v2 - A Large-Scale Benchmark for Instance-Level Recognition and Retrieval. CVPR 2020: 2572-2581 - [c18]Bingyi Cao, André Araújo, Jack Sim:
Unifying Deep Local and Global Features for Image Search. ECCV (20) 2020: 726-743 - [c17]André Araújo:
Deep Image Features for Instance-level Recognition and Matching. SUMAC @ ACM Multimedia 2020: 1 - [i6]Bingyi Cao, André Araújo, Jack Sim:
Unifying Deep Local and Global Features for Efficient Image Search. CoRR abs/2001.05027 (2020) - [i5]Tobias Weyand, André Araújo, Bingyi Cao, Jack Sim:
Google Landmarks Dataset v2 - A Large-Scale Benchmark for Instance-Level Recognition and Retrieval. CoRR abs/2004.01804 (2020)
2010 – 2019
- 2019
- [c16]Marvin Teichmann, André Araújo, Menglong Zhu, Jack Sim:
Detect-To-Retrieve: Efficient Regional Aggregation for Image Search. CVPR 2019: 5109-5118 - [c15]Jean-Baptiste Boin, André Araújo, Bernd Girod:
Recurrent Neural Networks for Person Re-identification Revisited. MIPR 2019: 147-152 - 2018
- [j1]André Araújo, Bernd Girod:
Large-Scale Video Retrieval Using Image Queries. IEEE Trans. Circuits Syst. Video Technol. 28(6): 1406-1420 (2018) - [i4]Jean-Baptiste Boin, André Araújo, Bernd Girod:
Recurrent Neural Networks for Person Re-identification Revisited. CoRR abs/1804.03281 (2018) - [i3]Marvin Teichmann, André Araújo, Menglong Zhu, Jack Sim:
Detect-to-Retrieve: Efficient Regional Aggregation for Image Search. CoRR abs/1812.01584 (2018) - 2017
- [c14]Jean-Baptiste Boin, André Araújo, Lamberto Ballan, Bernd Girod:
Effective Fisher vector aggregation for 3D object retrieval. ICASSP 2017: 1747-1751 - [c13]Hyeonwoo Noh, André Araújo, Jack Sim, Tobias Weyand, Bohyung Han:
Large-Scale Image Retrieval with Attentive Deep Local Features. ICCV 2017: 3476-3485 - 2016
- [c12]André Araújo, Haricharan Lakshman, Roland Angst, Bernd Girod:
Modeling the impact of keypoint detection errors on local descriptor similarity. ICIP 2016: 305-309 - [i2]André Araújo, Jason Chaves, Haricharan Lakshman, Roland Angst, Bernd Girod:
Large-Scale Query-by-Image Video Retrieval Using Bloom Filters. CoRR abs/1604.07939 (2016) - [i1]Hyeonwoo Noh, André Araújo, Jack Sim, Bohyung Han:
Image Retrieval with Deep Local Features and Attention-based Keypoints. CoRR abs/1612.06321 (2016) - 2015
- [c11]André Araújo, Jason Chaves, Roland Angst, Bernd Girod:
Temporal aggregation for large-scale query-by-image video retrieval. ICIP 2015: 1519-1522 - [c10]André Araújo, Jason Chaves, David M. Chen, Roland Angst, Bernd Girod:
Stanford I2V: a news video dataset for query-by-image experiments. MMSys 2015: 237-242 - 2014
- [c9]David M. Chen, Mina Makar, André F. Araújo, Bernd Girod:
Interframe Coding of Global Image Signatures for Mobile Augmented Reality. DCC 2014: 33-42 - [c8]André Araújo, Mina Makar, Vijay Chandrasekhar, David M. Chen, Sam S. Tsai, Huizhong Chen, Roland Angst, Bernd Girod:
Efficient video search using image queries. ICIP 2014: 3082-3086 - [c7]Jumpei Koyama, Mina Makar, André F. Araújo, Bernd Girod:
Interframe compression with selective update framework of local features for mobile augmented reality. ICME Workshops 2014: 1-6 - [c6]André F. Araújo, David M. Chen, Peter Vajda, Bernd Girod:
Real-time query-by-image video search system. ACM Multimedia 2014: 723-724 - 2013
- [c5]David M. Chen, Peter Vajda, Sam S. Tsai, Maryam Daneshi, Matt C. Yu, Huizhong Chen, André Araújo, Bernd Girod:
Analysis of visual similarity in news videos with robust and memory-efficient image retrieval. ICME Workshops 2013: 1-6 - [c4]Maryam Daneshi, Peter Vajda, David M. Chen, Sam S. Tsai, Matt C. Yu, André F. Araújo, Huizhong Chen, Bernd Girod:
Eigennews: Generating and delivering personalized news video. ICME Workshops 2013: 1-6 - [c3]Matt C. Yu, Peter Vajda, David M. Chen, Sam S. Tsai, Maryam Daneshi, André F. Araújo, Huizhong Chen, Bernd Girod:
EigenNews: a personalized news video delivery platform. ACM Multimedia 2013: 463-464 - 2012
- [c2]André Araújo, Fernando Silveira, Haricharan Lakshman, Joaquin Zepeda, Anmol Sheth, Patrick Pérez, Bernd Girod:
The Stanford/Technicolor/Fraunhofer HHI Video Semantic Indexing System. TRECVID 2012 - 2011
- [c1]Mina Makar, Yao-Chung Lin, André F. de Araújo, Bernd Girod:
Compression of VQM features for low bit-rate video quality monitoring. MMSP 2011: 1-6
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