Semantic Image Segmentation and Web-Supervised Visual Learning

Florian Schroff
Ph.D thesis, University of Oxford, 2009

Peer Reviewed Conferences

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

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

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 realeased 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

Journals

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

Misc

Rethinking Atrous Convolution for Semantic Image Segmentation

L.-C. Chen, G. Papandreou, F. Schroff, H. Adam
Technical Report 2017

Caltech-UCSD Birds 200

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

Patents

Neural architecture search for dense image prediction tasks

Object detection and representation in images

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.