Sanja Fidler

Year 2013

• Dahua Lin, Sanja Fidler, Raquel Urtasun
  Holistic Scene Understanding for 3D Object Detection with RGBD cameras   (oral presentation)
  International Conference on Computer Vision (ICCV), Sydney, Australia, December 2013
  [project page]


• Alex Schwing, Sanja Fidler, Marc Pollefeys, Raquel Urtasun
  Box In the Box: Joint 3D Layout and Object Reasoning from Single Images
  International Conference on Computer Vision (ICCV), Sydney, Australia, December 2013


• Tom Lee, Sanja Fidler, Sven Dickinson
  Detecting Curved Symmetric Parts using a Deformable Disc Model
  International Conference on Computer Vision (ICCV), Sydney, Australia, December 2013


• Sanja Fidler, Roozbeh Mottaghi, Alan Yuille, Raquel Urtasun
  Bottom-up Segmentation for Top-down Detection
  In Conference on Computer Vision and Pattern Recognition (CVPR), Portland, USA, June 2013
  [project page]


• Sanja Fidler, Abhishek Sharma, Raquel Urtasun
  A Sentence is Worth a Thousand Pixels
  In Conference on Computer Vision and Pattern Recognition (CVPR), Portland, USA, June 2013


• Roozbeh Mottaghi, Sanja Fidler, Jian Yao, Raquel Urtasun, Devi Parikh
  Analyzing Semantic Segmentation Using Human-Machine Hybrid CRFs
  In Conference on Computer Vision and Pattern Recognition (CVPR), Portland, USA, June 2013



Year 2012

• Sanja Fidler, Sven Dickinson, Raquel Urtasun
  3D Object Detection and Viewpoint Estimation with a Deformable 3D Cuboid Model   (spotlight)
  In Neural Information Processing Systems (NIPS), Lake Tahoe, USA, December 2012
  [CAD dataset]


• Jian Yao, Sanja Fidler, Raquel Urtasun
  Describing the Scene as a Whole: Joint Object Detection, Scene Classification and Semantic Segmentation
  In Conference on Computer Vision and Pattern Recognition (CVPR), Providence, USA, June 2012
  [project page]


• Zhiqi Zhang, Sanja Fidler, Jarell W. Waggoner, Yu Cao, Jeff M. Siskind, Sven Dickinson, Song Wang
  Super-edge grouping for object localization by combining appearance and shape information
  In Conference on Computer Vision and Pattern Recognition (CVPR), Providence, USA, June 2012


• Andrei Barbu, Alexander Bridge, Zachary Burchill, Dan Coroian, Sven Dickinson, Sanja Fidler, Aaron Michaux, Sam Mussman, Siddharth Narayanaswamy, Dhaval Salvi, Lara Schmidt, Jiangnan Shangguan, Jeffrey Mark Siskind, Jarrell Waggoner, Song Wang, Jinlian Wei, Yifan Yin, Zhiqi Zhang
  Video In Sentences Out   (oral presentation)
  In Conference on Uncertainty in Artificial Intelligence (UAI), 2012
  [project page]


• Wesley May, Sanja Fidler, Afsaneh Fazly, Suzanne Stevenson, Sven Dickinson
  Unsupervised Disambiguation of Image Captions
  In First Joint Conference on Lexical and Computational Semantics (*SEM), 2012


• Tom Lee, Sanja Fidler, Alex Levinshtein, Sven Dickinson
  Learning Categorical Shape from Captioned Images
  In Canadian Conference on Computer and Robot Vision (CRV), Toronto, ON, May 2012



Years 2006-2011

• Sergey Karayev, Mario Fritz, Sanja Fidler, Trevor Darrell
  A Probabilistic Model for Recursive Factorized Image Features
  In Conference on Computer Vision and Pattern Recognition (CVPR), 2011


• Sanja Fidler, Marko Boben, Ales Leonardis
  A coarse-to-fine Taxonomy of Constellations for Fast Multi-class Object Detection
  In European Conference in Computer Vision (ECCV), 2010


• Mario Fritz, Mykhaylo Andriluka, Sanja Fidler, Michael Stark, Ales Leonardis, Bernt Schiele
  Categorial Perception
  Cognitive Systems, No. 8, 2010
  


• Sanja Fidler, Marko Boben, Ales Leonardis
  Evaluating multi-class learning strategies in a generative hierarchical framework for object detection
  In Neural Information Processing Systems (NIPS), 2009


• Sanja Fidler, Marko Boben, Ales Leonardis
  Optimization framework for learning a hierarchical shape vocabulary for object class detection
  In British Machine Vision Conference (BMVC), 2009


• Sanja Fidler, Marko Boben, Ales Leonardis
  Learning Hierarchical Compositional Representations of Object Structure
  In Object Categorization: Computer and Human Vision Perspectives
  Editors: S. Dickinson, A. Leonardis, B. Schiele and M. J. Tarr
  Cambridge university press, 2009


• Sanja Fidler, Marko Boben, Ales Leonardis
  Similarity-based cross-layered hierarchical representation for object categorization
  In Conference on Computer Vision and Pattern Recognition (CVPR), 2008


• Luka Fürst, Sanja Fidler, Ales Leonardis
  Selecting features for object detection using an AdaBoost-compatible evaluation function
  In Pattern Recognition Letters, Vol. 29, No. 11, pp. 1603-1612, 2008


• Ales Leonardis, Sanja Fidler
  Learning hierarchical representations of object categories for robot vision (invited paper)
  In International Symposium of Robotics Research (ISRR), 2007


• Sanja Fidler, Ales Leonardis
  Towards Scalable Representations of Object Categories: Learning a Hierarchy of Parts
  In Conference on Computer Vision and Pattern Recognition (CVPR), 2007


• Sanja Fidler, Danijel Skocaj, Ales Leonardis
  Combining Reconstructive and Discriminative Subspace Methods for Robust Classification and Regression by Subsampling
  In IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 28, no. 3, pp. 337-350, 2006
  [code]


• Sanja Fidler, Gregor Berginc, Ales Leonardis
  Hierarchical Statistical Learning of Generic Parts of Object Structure
  In Conference on Computer Vision and Pattern Recognition (CVPR), 2006



Earlier work

• Danijel Skocaj, Ales Leonardis, Sanja Fidler
  Robust estimation of canonical correlation coefficients
  In 28th workshop of the Austrian Association for Pattern Recognition (OAGM/AAPR), 2004


• Sanja Fidler, Ales Leonardis
  Robust LDA classification by subsampling
  In Workshop in Statistical Analysis in Computer Vision in conjunction with CVPR, 2003


• Sanja Fidler, Ales Leonardis
  Robust LDA classification (best paper award)
  In 27th workshop of the Austrian Association for Pattern Recognition (OAGM/AAPR) 2003.