I am a Senior Software Engineer @ Google Research. My current work focuses on computer vision, mainly on instance-level recognition/retrieval. I graduated with a Ph.D. from Stanford University in 2016, working on image and video retrieval, under the supervision of Prof. Bernd Girod. During my time at Stanford, I also worked on image classification and compression. I am a Fulbright Science & Technology Scholar and an Accel Innovation Scholar. On the science outreach side, I co-founded and was an editor of The Global Scientist online magazine.
- [Jan’20] New paper available online: B. Cao*, A. Araujo* and J. Sim, “Unifying Deep Local and Global Features for Efficient Image Search”.
- [Nov’19] Distill paper: A. Araujo, W. Norris and J. Sim, “Computing Receptive Fields of Convolutional Neural Networks”
- [Jun’19] DELF achieved 2nd place in CVPR Visual Localization challenge (Local Features track). See our slides here.
- [Jun’19] CVPR’19 paper: M. Teichmann*, A. Araujo*, M. Zhu and J. Sim, “Detect-to-Retrieve: Efficient Regional Aggregation for Image Search”. Poster here, code here.
- [Dec’18] 2nd Landmark Recognition workshop accepted at CVPR’19. Hope you can participate in the challenges: Landmark Recognition and Landmark Retrieval.
- [Mar’19] MIPR’19 paper (Best Paper Award!): J.-B. Boin, A. Araujo and B. Girod, “Recurrent Neural Networks for Person Re-identification Revisited”
- [Mar’18] Google Research blog post discussing the Google-Landmarks dataset and challenge
- [Dec’17] We are organizing the Landmark Recognition Challenge and the Landmark Retrieval Challenge, associated to the Landmark Recognition CVPR’18 workshop. Hope you can participate!
- [Oct’17] See the DELF project webpage for code and dataset.