Josef Sivic is a computer scientist whose research is in computer vision – a field of computer science and engineering that aims to automatically extract information from images and videos. He develops learnable image representations for automatic visual search and recognition applied to large image and video collections.
ERC Starting Grant, 2013
Sullivan Doctoral Thesis Prize, British Machine Vision Association, 2007
Oquab, M. et al. “Learning and Transferring Mid-Level Image Representations using Convolutional Neural Networks.” Paper presented at IEEE Conference on Computer Vision and Pattern Recognition, 2014.
Oquab, M. et al. “Is object localization for free? – Weakly-supervised learning with convolutional neural networks.” Paper presented at IEEE Conference on Computer Vision and Pattern Recognition, 2015.
Sivic, J., and A. Zisserman. "Video Google: A text retrieval approach to object matching in videos." In Proceedings of the Ninth IEEE International Conference on Computer Vision 2, 2013.