| Encoder-decoder with atrous separable convolution for semantic image segmentation LC Chen, Y Zhu, G Papandreou, F Schroff, H Adam Proceedings of the European conference on computer vision (ECCV), 801-818, 2018 | 18495 | 2018 |
| Facenet: A unified embedding for face recognition and clustering F Schroff, D Kalenichenko, J Philbin Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 18015 | 2015 |
| Rethinking Atrous Convolution for Semantic Image Segmentation LC Chen, G Papandreou, F Schroff, H Adam arXiv:1706.05587 [cs.CV], 2017 | 11749 | 2017 |
| Caltech-UCSD birds 200 P Welinder, S Branson, T Mita, C Wah, F Schroff, S Belongie, P Perona Technical Report CNS-TR-2010-001, California Institute of Technology 2 (5), 11, 2010 | 1810 | 2010 |
| Auto-deeplab: Hierarchical neural architecture search for semantic image segmentation C Liu, LC Chen, F Schroff, H Adam, W Hua, AL Yuille, L Fei-Fei Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 1255 | 2019 |
| Rethinking atrous convolution for semantic image segmentation. arXiv LC Chen, G Papandreou, F Schroff, H Adam arXiv preprint arXiv:1706.05587 5, 2017 | 685 | 2017 |
| Visual recognition with humans in the loop S Branson, C Wah, F Schroff, B Babenko, P Welinder, P Perona, ... Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010 | 591 | 2010 |
| Feelvos: Fast end-to-end embedding learning for video object segmentation P Voigtlaender, Y Chai, F Schroff, H Adam, B Leibe, LC Chen Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 524 | 2019 |
| Harvesting image databases from the web F Schroff, A Criminisi, A Zisserman IEEE transactions on pattern analysis and machine intelligence 33 (4), 754-766, 2010 | 514 | 2010 |
| Searching for efficient multi-scale architectures for dense image prediction LC Chen, M Collins, Y Zhu, G Papandreou, B Zoph, F Schroff, H Adam, ... Advances in neural information processing systems 31, 2018 | 497 | 2018 |
| Masklab: Instance segmentation by refining object detection with semantic and direction features LC Chen, A Hermans, G Papandreou, F Schroff, P Wang, H Adam Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 491 | 2018 |
| Object Class Segmentation using Random Forests. F Schroff, A Criminisi, A Zisserman BMVC, 1-10, 2008 | 335 | 2008 |
| Sixteen facial expressions occur in similar contexts worldwide AS Cowen, D Keltner, F Schroff, B Jou, H Adam, G Prasad Nature 589 (7841), 251-257, 2021 | 244 | 2021 |
| Modeling uncertainty with hedged instance embedding SJ Oh, K Murphy, J Pan, J Roth, F Schroff, A Gallagher arXiv preprint arXiv:1810.00319, 2018 | 121 | 2018 |
| Computer vision–ECCV 2018 LC Chen, Y Zhu, G Papandreou, F Schroff, H Adam European Conference on Computer Vision 833, 2018 | 96 | 2018 |
| View-invariant probabilistic embedding for human pose JJ Sun, J Zhao, LC Chen, F Schroff, H Adam, T Liu Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 91 | 2020 |
| Proceedings of the IEEE conference on computer vision and pattern recognition F Schroff, D Kalenichenko, J Philbin Proceedings of the IEEE conference on computer vision and pattern recognition, 2015 | 87 | 2015 |
| Pose, illumination and expression invariant pairwise face-similarity measure via doppelgänger list comparison F Schroff, T Treibitz, D Kriegman, S Belongie 2011 International Conference on Computer Vision, 2494-2501, 2011 | 87 | 2011 |
| Rethinking atrous convolution for semantic image segmentation [EB/OL] LC Chen, G Papandreou, F Schroff, H Adam New York: arXiv 12, 2017 | 80 | 2017 |
| Single-histogram class models for image segmentation F Schroff, A Criminisi, A Zisserman Computer Vision, Graphics and Image Processing: 5th Indian Conference …, 2006 | 69 | 2006 |
Hartwig AdamSr. Director of Research, Google DeepMindVerified email at google.com
