Semantic Image Segmentation and Web-Supervised Visual Learning
Florian Schroff
Ph.D thesis, University of Oxford, 2009
Peer Reviewed Conferences
Learning to Generate Image Embeddings with user-level Differential Privacy
Z. Xu, Ml Collins, Y. Wang, L. Panait, S. Oh, S. Augenstein, T. Liu, F. Schroff, H. B. McMahan
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2023
Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization
L. Zhao, Y. Wang, J. Zhao, L. Yuan, J. J. Sun, F. Schroff, H. Adam, X. Peng, D. Metaxas, T. Liu
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2021
View-Invariant Probabilistic Embedding for Human Pose
J. Sun, J. Zhao, L.-C. Chen, F. Schroff, H. Adam, T. Liu
Proceedings of the European Conference on Computer Vision 2020
Auto-deeplab: Hierarchical neural architecture search for semantic image segmentation
C. Liu, L.-C. Chen, F. Schroff, H. Adam, W. Hua, A. L Yuille, F.-F. Li
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2019
Feelvos: Fast end-to-end Embedding Learning for Video Object Segmentation
P. Voigtlaender, Y. Chai, F. Schroff, H. Adam, B. Leibe, L.-C. Chen
Proceedings of the European Conference on Computer Vision 2019
Modeling Uncertainty with Hedged Instance Embedding
S. J. Oh, K. Murphy, J. Pan, J. Roth, F. Schroff, A. Gallagher
International Conference on Learning Representations 2019
Masklab: Instance segmentation by refining object detection with semantic and direction features
L.-C. Chen, A. Hermans, G. Papandreou, F. Schroff, P. Wang, H. Adam
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2018
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
L.-C. Chen, Y. Zhu, G. Papandreou, F. Schroff, H. Adam
Proceedings of the European conference on computer vision 2018
FaceNet: A Unified Embedding for Face Recognition and Clustering
F. Schroff, D. Kalenichenko, J. Philbin
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2015
Pose, Illumination and Expression Invariant Pairwise Face-Similarity Measure via Doppelgänger List Comparison
F. Schroff, T. Treibitz, D. Kriegman, S. Belongie
Proceedings of the 11th International Conference on Computer Vision (ICCV), Barcelona, Spain, 2011
Visual Recognition with Humans in the Loop
S. Branson, C. Wah, B. Babenko, F. Schroff, P. Welinder, P. Perona, S. Belongie
Proceedings of the European Conference on Computer Vision 2010
Clustering Videos by Location
F. Schroff, C. L. Zitnick, and S. Baker
Proceedings of the British Machine Vision Conference (BMVC), London, UK, 2009
Object Class Segmentation using Random Forests
The Random Forest code is available here (README) (updated: Dec 15 2010).
It is released under a BSD based license.
F. Schroff, A. Criminisi, and A. Zisserman
Proceedings of the British Machine Vision Conference (BMVC), Leeds, UK, 2008
Harvesting Image Databases from the Web
F. Schroff, A. Criminisi, and A. Zisserman
Proceedings of the 11th International Conference on Computer Vision (ICCV), Rio de Janeiro, Brazil, 2007
Single-Histogram Class Models for Image Segmentation
F. Schroff, A. Criminisi, and A. Zisserman
Proceedings of the Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP), 2006
View-Invariant, Occlusion-Robust Probabilistic Embedding for Human Pose
T. Liu, J. J. Sun, L. Zhao, J. Zhao, L. Yuan, Y. Wang, L.-C. Chen, F. Schroff, H. Adam
International Journal of Computer Vision 2022
Harvesting Image Databases from the Web
The downloaded images including annotation and metadata are available here.
The software to download the images is available here (updated: Jul 21 2009) note the BSD based license.
F. Schroff, A. Criminisi, and A. Zisserman
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), April 2011
Rethinking Atrous Convolution for Semantic Image Segmentation
L.-C. Chen, G. Papandreou, F. Schroff, H. Adam
Technical Report 2017
P. Welinder, S. Branson, T. Mita, C. Wah, F. Schroff, S. Belongie, P. Perona
Technical Report, no. CNS-TR-201: Caltech, 2010
Vase retrieval (CLAROS - bringing classical art to a global public)
D. Kurtz, D. Shotton, F. Schroff, Y. Wilks, G. Parker, G. Klyne, A. Zisserman
Presented at the 5th IEEE International Conference on e-Science, Oxford, UK, 2009
Generating object embeddings from images
Generating numeric embeddings of images
Neural architecture search for dense image prediction tasks
Object detection and representation in images
Clustering videos by location