Compression of VQM features for low bit-rate video quality monitoring. - Mina Makar; Yao-Chung Lin; André F. de Araújo 001; Bernd Girod (MMSP, 2011)

The Stanford/Technicolor/Fraunhofer HHI Video Semantic Indexing System. - André Araújo 001; Fernando Silveira; Haricharan Lakshman; Joaquin Zepeda; Anmol Sheth; Patrick Pérez; Bernd Girod (TRECVID, 2012)

Analysis of visual similarity in news videos with robust and memory-efficient image retrieval. - David M. Chen; Peter Vajda; Sam S. Tsai; Maryam Daneshi; Matt C. Yu; Huizhong Chen; André Araújo 001; Bernd Girod (ICME Workshops, 2013)

Eigennews: Generating and delivering personalized news video. - Maryam Daneshi; Peter Vajda; David M. Chen; Sam S. Tsai; Matt C. Yu; André F. Araújo 001; Huizhong Chen; Bernd Girod (ICME Workshops, 2013)

EigenNews: a personalized news video delivery platform. - Matt C. Yu; Peter Vajda; David M. Chen; Sam S. Tsai; Maryam Daneshi; André F. Araújo 001; Huizhong Chen; Bernd Girod (ACM Multimedia, 2013)

Interframe Coding of Global Image Signatures for Mobile Augmented Reality. - David M. Chen; Mina Makar; André F. Araújo 001; Bernd Girod (DCC, 2014)

Efficient video search using image queries. - André Araújo 001; Mina Makar; Vijay Chandrasekhar 001; David M. Chen; Sam S. Tsai; Huizhong Chen; Roland Angst; Bernd Girod (ICIP, 2014)

Interframe compression with selective update framework of local features for mobile augmented reality. - Jumpei Koyama; Mina Makar; André F. Araújo 001; Bernd Girod (ICME Workshops, 2014)

Real-time query-by-image video search system. - André F. Araújo 001; David M. Chen; Peter Vajda; Bernd Girod (ACM Multimedia, 2014)

Temporal aggregation for large-scale query-by-image video retrieval. - André Araújo 001; Jason Chaves; Roland Angst; Bernd Girod (ICIP, 2015)

Stanford I2V: a news video dataset for query-by-image experiments. - André Araújo 001; Jason Chaves; David M. Chen; Roland Angst; Bernd Girod (MMSys, 2015)

Modeling the impact of keypoint detection errors on local descriptor similarity. - André Araújo 001; Haricharan Lakshman; Roland Angst; Bernd Girod (ICIP, 2016)

Large-Scale Query-by-Image Video Retrieval Using Bloom Filters. - André Araújo 001; Jason Chaves; Haricharan Lakshman; Roland Angst; Bernd Girod (CoRR, 2016)

Image Retrieval with Deep Local Features and Attention-based Keypoints. - Hyeonwoo Noh; André Araújo 001; Jack Sim; Bohyung Han (CoRR, 2016)

Effective Fisher vector aggregation for 3D object retrieval. - Jean-Baptiste Boin; André Araújo 001; Lamberto Ballan; Bernd Girod (ICASSP, 2017)

Large-Scale Image Retrieval with Attentive Deep Local Features. - Hyeonwoo Noh; André Araújo 001; Jack Sim; Tobias Weyand; Bohyung Han (ICCV, 2017)

Large-Scale Video Retrieval Using Image Queries. - André Araújo 001; Bernd Girod (IEEE Trans. Circuits Syst. Video Technol., 2018)

Detect-To-Retrieve: Efficient Regional Aggregation for Image Search. - Marvin Teichmann; André Araújo 001; Menglong Zhu; Jack Sim (CVPR, 2019)

Recurrent Neural Networks for Person Re-identification Revisited. - Jean-Baptiste Boin; André Araújo 001; Bernd Girod (MIPR, 2019)

Google Landmarks Dataset v2 - A Large-Scale Benchmark for Instance-Level Recognition and Retrieval. - Tobias Weyand; André Araújo 001; Bingyi Cao; Jack Sim (CVPR, 2020)

Unifying Deep Local and Global Features for Image Search. - Bingyi Cao; André Araújo 001; Jack Sim (ECCV (20), 2020)

Deep Image Features for Instance-level Recognition and Matching. - André Araújo 001 (SUMAC @ ACM Multimedia, 2020)

Unifying Deep Local and Global Features for Efficient Image Search. - Bingyi Cao; André Araújo 001; Jack Sim (CoRR, 2020)

Class-Balanced Distillation for Long-Tailed Visual Recognition. - Ahmet Iscen; André Araújo 001; Boqing Gong; Cordelia Schmid (BMVC, 2021)

Towards A Fairer Landmark Recognition Dataset. - Zu Kim; André Araújo 001; Bingyi Cao; Cam Askew; Jack Sim; Mike Green; N'Mah Fodiatu Yilla; Tobias Weyand (CoRR, 2021)

Improving Fairness in Large-Scale Object Recognition by CrowdSourced Demographic Information. - Zu Kim; André Araújo 001; Bingyi Cao; Cam Askew; Jack Sim; Mike Green; N'Mah Fodiatu Yilla; Tobias Weyand (CoRR, 2022)

Enhancing Deformable Local Features by Jointly Learning to Detect and Describe Keypoints. - Guilherme A. Potje; Felipe Cadar; André Araújo 001; Renato Martins; Erickson R. Nascimento (CVPR, 2023)

Yes, we CANN: Constrained Approximate Nearest Neighbors for local feature-based visual localization. - Dror Aiger; André Araújo 001; Simon Lynen (ICCV, 2023)

Encyclopedic VQA: Visual questions about detailed properties of fine-grained categories. - Thomas Mensink; Jasper R. R. Uijlings; Lluís Castrejón; Arushi Goel; Felipe Cadar; Howard Zhou; Fei Sha; André Araújo 001; Vittorio Ferrari (ICCV, 2023)

Global Features are All You Need for Image Retrieval and Reranking. - Shihao Shao; Kaifeng Chen; Arjun Karpur; Qinghua Cui; André Araújo 001; Bingyi Cao (ICCV, 2023)

Towards Universal Image Embeddings: A Large-Scale Dataset and Challenge for Generic Image Representations. - Nikolaos-Antonios Ypsilantis; Kaifeng Chen; Bingyi Cao; Mário Lipovský; Pelin Dogan-Schönberger; Grzegorz Makosa; Boris Bluntschli; Mojtaba Seyedhosseini; Ondrej Chum; André Araújo 001 (ICCV, 2023)

NAVI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations. - Varun Jampani; Kevis-Kokitsi Maninis; Andreas Engelhardt; Arjun Karpur; Karen Truong; Kyle Sargent; Stefan Popov; André Araújo 001; Ricardo Martin-Brualla; Kaushal Patel; Daniel Vlasic; Vittorio Ferrari; et al. (NeurIPS, 2023)

LFM-3D: Learnable Feature Matching Across Wide Baselines Using 3D Signals. - Arjun Karpur; Guilherme Perrotta; Ricardo Martin-Brualla; Howard Zhou; André Araújo 001 (3DV, 2024)

OmniGlue: Generalizable Feature Matching with Foundation Model Guidance. - Hanwen Jiang; Arjun Karpur; Bingyi Cao; Qixing Huang; André Araújo 001 (CVPR, 2024)

XFeat: Accelerated Features for Lightweight Image Matching. - Guilherme A. Potje; Felipe Cadar; André Araújo 001; Renato Martins; Erickson R. Nascimento (CVPR, 2024)

UDON: Universal Dynamic Online distillatioN for generic image representations. - Nikolaos-Antonios Ypsilantis; Kaifeng Chen; André Araújo 001; Ondrej Chum (NeurIPS, 2024)

HAMMR: HierArchical MultiModal React agents for generic VQA. - Lluís Castrejón; Thomas Mensink; Howard Zhou; Vittorio Ferrari; André Araújo 001; Jasper R. R. Uijlings (CoRR, 2024)

TIPS: Text-Image Pretraining with Spatial awareness. - 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; et al. (ICLR, 2025)

Optimization of Rank Losses for Image Retrieval. - Elias Ramzi; Nicolas Audebert; Clément Rambour; André Araújo 001; Xavier Bitot; Nicolas Thome (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Infusing fine-grained visual knowledge to Vision-Language Models. - Nikolaos-Antonios Ypsilantis; Kaifeng Chen; André Araújo 001; Ondrej Chum (CoRR, 2025)