| Large-scale image retrieval with attentive deep local features H Noh, A Araujo, J Sim, T Weyand, B Han Proceedings of the IEEE international conference on computer vision, 3456-3465, 2017 | 944 | 2017 |
| Unifying deep local and global features for image search B Cao, A Araujo, J Sim Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 377 | 2020 |
| Google landmarks dataset v2-a large-scale benchmark for instance-level recognition and retrieval T Weyand, A Araujo, B Cao, J Sim Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 339 | 2020 |
| Computing receptive fields of convolutional neural networks A Araujo, W Norris, J Sim Distill 4 (11), e21, 2019 | 306 | 2019 |
| Branchout: Regularization for online ensemble tracking with convolutional neural networks B Han, J Sim, H Adam Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 190 | 2017 |
| Detect-to-retrieve: Efficient regional aggregation for image search M Teichmann, A Araujo, M Zhu, J Sim Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 144 | 2019 |
| Multi-hypothesis motion planning for visual object tracking H Gong, J Sim, M Likhachev, J Shi 2011 International Conference on Computer Vision, 619-626, 2011 | 130 | 2011 |
| Nutrition5k: Towards automatic nutritional understanding of generic food Q Thames, A Karpur, W Norris, F Xia, L Panait, T Weyand, J Sim Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 73 | 2021 |
| MOD i : a powerful and convenient web server for identifying multiple post-translational peptide modifications from tandem mass spectra S Kim, S Na, JW Sim, H Park, J Jeong, H Kim, Y Seo, J Seo, KJ Lee, ... Nucleic acids research 34 (suppl_2), W258-W263, 2006 | 67 | 2006 |
| Cplanet: Enhancing image geolocalization by combinatorial partitioning of maps PH Seo, T Weyand, J Sim, B Han Proceedings of the European Conference on Computer Vision (ECCV), 536-551, 2018 | 66 | 2018 |
| Image retrieval with deep local feature descriptors and attention-based keypoint descriptors AF de Araujo, J Sim, B Han, H Noh US Patent 10,402,448, 2019 | 47 | 2019 |
| Computing receptive fields of convolutional neural networks. Distill, 2019 A Araujo, W Norris, J Sim | 47 | 2019 |
| Personalized video summarization with human in the loop B Han, J Hamm, J Sim 2011 IEEE Workshop on Applications of Computer Vision (WACV), 51-57, 2011 | 46 | 2011 |
| Towards a fairer landmark recognition dataset Z Kim, A Araujo, B Cao, C Askew, J Sim, M Green, N Yilla, T Weyand arXiv preprint arXiv:2108.08874, 2021 | 7 | 2021 |
| Bringing vision to the blind: From coarse to fine, one dollar at a time T Huynh, J Pillai, E Kim, K Aw, J Sim, K Goldman, R Min 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 481-490, 2019 | 3 | 2019 |
| Improving Fairness in Large-Scale Object Recognition by CrowdSourced Demographic Information Z Kim, A Araujo, B Cao, C Askew, J Sim, M Green, N Yilla, T Weyand arXiv preprint arXiv:2206.01326, 2022 | 2 | 2022 |
| CPlaNet: Enhancing Image Geolocalization by Combinatorial Partitioning of Maps P Hongsuck Seo, T Weyand, J Sim, B Han arXiv e-prints, arXiv: 1808.02130, 2018 | 1 | 2018 |
| Improving Fairness in Large-Scale Object Recognition by CrowdSourced Demographic Information A Araujo, B Cao, C Askew, J Sim, M Green, TC Weyand, Z Kim | | 2022 |
| Towards A Fairer Landmark Recognition Dataset A Araujo, B Cao, C Askew, J Sim, M Green, TC Weyand, Z Kim | | 2021 |
| VISYM: A Platform for Large Scale Computer Vision J Byrne, J Sim, J Shi | | |
Andre AraujoGoogle DeepMindVerified email at google.com
