| 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 | 932 | 2017 |
| MobileNets: efficient convolutional neural networks for mobile vision applications (2017) AG Howard, M Zhu, B Chen, D Kalenichenko, W Wang, T Weyand, ... arXiv preprint arXiv:1704.04861 126, 2017 | 602 | 2017 |
| Planet-photo geolocation with convolutional neural networks T Weyand, I Kostrikov, J Philbin Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 528 | 2016 |
| Image Retrieval for Image-Based Localization Revisited. T Sattler, T Weyand, B Leibe, L Kobbelt BMVC 1 (2), 4, 2012 | 353 | 2012 |
| 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 | 341 | 2020 |
| Mobilenets: Efficient convolutional neural networks for mobile vision applications. arXiv preprint (2017) AG Howard, M Zhu, B Chen, D Kalenichenko, W Wang, T Weyand, ... arXiv preprint arXiv:1704.04861, 2017 | 215 | 2017 |
| Mobilenets: E cient convolutional neural networks for mobile vision applications AG Howard, M Zhu, B Chen, D Kalenichenko, W Wang, T Weyand, ... arXiv preprint arXiv:1704.04861 2, 2017 | 91 | 2017 |
| FIRE in ImageCLEF 2005: Combining content-based image retrieval with textual information retrieval T Deselaers, T Weyand, D Keysers, W Macherey, H Ney Accessing Multilingual Information Repositories: 6th Workshop of the Cross …, 2006 | 82 | 2006 |
| 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 | 75 | 2021 |
| 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 | 67 | 2018 |
| Discovering favorite views of popular places with iconoid shift T Weyand, B Leibe 2011 International Conference on Computer Vision, 1132-1139, 2011 | 52 | 2011 |
| Mobilenets: Efficient convolutional neural networks for mobile vision applications, CoRR abs/1704.04861 AG Howard, M Zhu, B Chen, D Kalenichenko, W Wang, T Weyand, ... arXiv preprint arXiv:1704.04861 735, 2017 | 50 | 2017 |
| Efficient convolutional neural networks and techniques to reduce associated computational costs AG Howard, B Chen, D Kalenichenko, TC Weyand, M Zhu, M Andreetto, ... US Patent 11,157,814, 2021 | 49 | 2021 |
| Image retrieval and annotation using maximum entropy T Deselaers, T Weyand, H Ney Evaluation of Multilingual and Multi-modal Information Retrieval: 7th …, 2007 | 47 | 2007 |
| Snakes on triangle meshes S Bischoff, T Weyand, L Kobbelt Bildverarbeitung für die Medizin 2005: Algorithmen—Systeme—Anwendungen …, 2005 | 47 | 2005 |
| Mobilenets: effificient convolutional neural networks for mobile vision applications. arXiv 2017 AG Howard, M Zhu, B Chen, D Kalenichenko, W Wang, T Weyand, ... arXiv preprint arXiv:1704.04861, 2017 | 46 | 2017 |
| Visual landmark recognition from internet photo collections: A large-scale evaluation T Weyand, B Leibe Computer Vision and Image Understanding 135, 1-15, 2015 | 42 | 2015 |
| & Adam, H.(2017) AG Howard, M Zhu, B Chen, D Kalenichenko, W Wang, T Weyand Mobilenets: Efficient convolutional neural networks for mobile vision …, 0 | 29 | |
| An evaluation of two automatic landmark building discovery algorithms for city reconstruction T Weyand, J Hosang, B Leibe Trends and Topics in Computer Vision: ECCV 2010 Workshops, Heraklion, Crete …, 2012 | 25 | 2012 |
| Mobilenets: Efficient convolutional neural networks for mobile vision applications. CoRR (2017) AG Howard, M Zhu, B Chen, D Kalenichenko, W Wang, T Weyand, ... arXiv preprint arXiv:1704.04861, 2017 | 24 | 2017 |
Bastian LeibeProfessor for Computer Vision, RWTH Aachen UniversityVerified email at vision.rwth-aachen.de
