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.
- Distill paper: A. Araujo, W. Norris and J. Sim, “Computing Receptive Fields of Convolutional Neural Networks”
- DELF achieved 2nd place in CVPR Visual Localization challenge (Local Features track). See our slides here.
- 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.
- 2nd Landmark Recognition workshop accepted at CVPR’19. Hope you can participate in the challenges: Landmark Recognition and Landmark Retrieval.
- MIPR’19 paper (Best Paper Award!): J.-B. Boin, A. Araujo and B. Girod, “Recurrent Neural Networks for Person Re-identification Revisited”
- Google Research blog post discussing the Google-Landmarks dataset and challenge
- We are organizing the Landmark Recognition Challenge and the Landmark Retrieval Challenge, associated to the Landmark Recognition CVPR’18 workshop. Hope you can participate!
- See the DELF project webpage for code and dataset.