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Andrew Zisserman
Researcher at University of Oxford
Publications - 808
Citations - 312028
Andrew Zisserman is an academic researcher from University of Oxford. The author has contributed to research in topics: Convolutional neural network & Real image. The author has an hindex of 167, co-authored 808 publications receiving 261717 citations. Previous affiliations of Andrew Zisserman include University of Edinburgh & Microsoft.
Papers
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Book ChapterDOI
Automatic Camera Recovery for Closed or Open Image Sequences
TL;DR: Progress in completely automatically recovering 3D scene structure together with 3D camera positions from a sequence of images acquired by an unknown camera undergoing unknown movement is described.
Proceedings Article
Learning Visual Attributes
TL;DR: It is shown that attributes can be learnt starting from a text query to Google image search, and can then be used to recognize the attribute and determine its spatial extent in novel real-world images.
Proceedings ArticleDOI
Multi-task Self-Supervised Visual Learning
Carl Doersch,Andrew Zisserman +1 more
TL;DR: In this paper, the authors investigate methods for combining multiple self-supervised tasks in order to train a single visual representation, and they show that combining tasks, even via a na¨ýve multi-head architecture, always improves performance.
Book ChapterDOI
3D Model Acquisition from Extended Image Sequences
TL;DR: A method for matching image primitives through a sequence is described, for the purpose of acquiring 3D geometric models, which includes a novel robust estimator of the trifocal tensor, based on a minimum number of token correspondences across an image triplet.
Journal ArticleDOI
Deep Audio-visual Speech Recognition
TL;DR: This work compares two models for lip reading, one using a CTC loss, and the other using a sequence-to-sequence loss, built on top of the transformer self-attention architecture.