Florian Schroff
Florian Schroff is a software engineer at Google where he conducts applied research in the areas of computer vision and machine learning. His projects focus on describing people in images and videos.
Before joining Google in 2011, he completed a two-year postdoc at the UCSD vision group, where he conducted research in unconstrained face and object recognition.
Previously, he graduated in 2009 with a DPhil from the University of Oxford in the Visual Geometry Group. His thesis was titled Semantic Image Segmentation and Web-Supervised Visual Learning.
Authored Publications
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Google
Unified Visual Relationship Detection with Vision and Language Models
Liangzhe Yuan
Boqing Gong
Yin Cui
International Conference on Computer Vision (ICCV) (2023)
Learning to Generate Image Embeddings with User-level Differential Privacy
Maxwell D. Collins
Yuxiao Wang
Sewoong Oh
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2023) (to appear)
Contextualized Spatial-Temporal Contrastive Learning with Self-Supervision
Liangzhe Yuan
Rui Qian
Yin Cui
Boqing Gong
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 13977-13986
View-Invariant, Occlusion-Robust Probabilistic Embedding for Human Pose
Jennifer Jianing Sun
Jiaping Zhao
Liangzhe Yuan
Yuxiao Wang
Liang-Chieh Chen
International Journal of Computer Vision, 130 (2022), pp. 111-135
Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization
Yuxiao Wang
Jiaping Zhao
Liangzhe Yuan
Jennifer Jianing Sun
Xi Peng
Dimitris N. Metaxas
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
Sixteen facial expressions occur in similar contexts worldwide
Alan Cowen
Dacher Keltner
Nature, 589 (2020), pp. 251-257
View-Invariant Probabilistic Embedding for Human Pose
Jennifer Jianing Sun
Jiaping Zhao
Liang-Chieh Chen
European Conference on Computer Vision (ECCV) (2020)
Modeling Uncertainty with Hedged Instance Embedding
Seong Joon Oh
Jiyan Pan
ICLR 2019 (2019)
FEELVOS: Fast End-to-End Embedding Learning for Video Object Segmentation
Yuning Chai
Bastian Leibe
Liang-chieh Chen
International Conference on Computer Vision and Pattern Recognition (CVPR) (2019) (to appear)
