Silvio Savarese. My research focuses on understanding objects and scenes from images and videos, with emphasis on recognizing both semantic and 3D geometric properties of objects and scenes. My current work attempts to develop 3D object representation and recognition methods which can be useful for real world applications. I received my B.S. degree in computer science from Fudan University in 2007 and my M.S. degree in computer science from Fudan University in 2010. I did research on automatic image annotation under the supervision of Prof. Xiangdong Zhou for my master thesis. (CV)
- 2/15/2014 Our PASCAL3D+ benchmark (version 1.0) is released!
- 1/30/2014 Our work on building a large scale dataset for 3D object detection and pose estimation is accepted to WACV 2014!
- 10/5/2013 Our paper is accepted to the 3dRR workshop in conjunction with ICCV 2013.
- 9/1/2013 I moved to Stanford as a visiting researcher.
- Our paper has been accepted to the ECCV 2012 conference.
- I received the Outstanding Master's Thesis Award of Shanghai.
- Our CVPR 2012 paper and code are available!
Before 2010 (Image and Text)
|Beyond PASCAL: A Benchmark for 3D Object Detection in the Wild|
Yu Xiang, Roozbeh Mottaghi and Silvio Savarese
In IEEE Winter Conference on Applications of Computer Vision (WACV), 2014.
PDF, BibTex, PASCAL3D+
|Object Detection by 3D Aspectlets and Occlusion Reasoning|
Yu Xiang and Silvio Savarese
In the 4th International IEEE Workshop on 3D Representation and Recognition (3dRR), 2013.
PDF, BibTex, Technical_Report, Dataset(~24MB)
Sid Yingze Bao, Yu Xiang and Silvio Savarese
In European Conference on Computer Vision (ECCV), vol. 7572, pp. 86-101, 2012.
PDF, BibTex, Poster, Project
|Estimating the Aspect Layout of Object Categories|
Yu Xiang and Silvio Savarese
In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 3410-3417, 2012.
PDF, BibTex, Technical Report, Poster, Code, Project
|Semantic Context Modeling with Maximal Margin Conditional Random Fields for Automatic Image Annotation|
Yu Xiang, Xiangdong Zhou, Zuotao Liu, Tat-Seng Chua and Chong-Wah Ngo
In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 3368-3375, 2010.
PDF, BibTex, Technical_Report
|Learning Contextual Metrics for Automatic Image Annotation|
Zuotao Liu, Xiangdong Zhou, Yu Xiang and Yan-Tao Zheng
In Advances in Multimedia Information Processing - PCM, vol. 6297, pp. 124-135, 2010.
|A Revisit of Generative Model for Automatic Image Annotation using Markov Random Fields|
Yu Xiang, Xiangdong Zhou, Tat-Seng Chua and Chong-Wah Ngo
In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1153-1160, 2009.
|Adaptive Model for Web Image Semantic Automatic Image Annotation|
Hongtao Xu, Xiangdong Zhou, Yu Xiang and Baile Shi
In Journal of Software (in Chinese), vol. 21, no. 9, pp. 2183-2195, 2009.
|Exploiting Flickr's Related Tags for Semantic Annotation of Web Images|
Hongtao Xu, Xiangdong Zhou, Mei Wang, Yu Xiang and Baile Shi
In Proceedings of the ACM International Conference on Image and Video Retrieval (CIVR), no. 46, 2009.
|Automatic Web Image Annotation via Web-Scale Image Semantic Space Learning|
Hongtao Xu, Xiangdong Zhou, Lan Lin, Yu Xiang and Baile Shi
In Advances in Data and Web Management, vol. 5446, pp. 211-222, 2009.
- Graphical Models for Semantic Context Modeling in Automatic Image Annotation (PDF)
Fudan University, Master thesis (in Chinese), Outstanding Master's Thesis Award of Shanghai, 2010.
- Object Detection by 3D Aspectlets and Occlusion Reasoning (PDF)
In the 4th International IEEE Workshop on 3D Representation and Recognition in conjunction with ICCV, 12/08/2013.
- Estimating the Aspect Layout of Object Categories (PDF)
In Midwest Vision Workshop, University of Illinois at Urbana-Champaign, 09/21/2012.