cara



My name is Joao Carreira. I am a postdoctoral scholar in Prof. Jitendra Malik's group at EECS, UC Berkeley.
My research targets the development of techniques that make it possible to robustly recover rich and accurate descriptions of objects from a single image, in particular of their shapes. My full cv is here.

I did my Ph.D. with Prof. Cristian Sminchisescu in the formidable group he had at the University of Bonn, working on segmentation and recognition techniques. We did a lot of noise on the Pascal VOC Challenges.
Afterwards I did postdoctoral work in Prof. Jorge Batista's awesome group in ISR-Coimbra, with which I am also affiliated. My full list of publications and corresponding bibtex files can be consulted on my google scholar account .

Email: carreira at eecs.berkeley.edu

News:

Journals

J. Carreira*, S. Vicente*, L. Agapito and J. Batista. Lifting Object Detection Datasets into 3D.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) Special Issue CVPR 2014. To appear, 2015. (* first two authors contributed equally) pdf

J. Carreira, R. Caseiro, J. Batista and C. Sminchisescu. Free-Form Region Description with Second-Order Pooling.
In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), June 2015. pdf

A. Ion, J. Carreira and C. Sminchisescu. Probabilistic Joint Image Segmentation and Labeling by Figure-Ground Composition.
In International Journal of Computer Vision (IJCV), March 2014. pdf

J. Carreira and C. Sminchisescu. CPMC: Automatic Object Segmentation Using Constrained Parametric Min-Cuts.
In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), July 2012. pdf project/code

J. Carreira*, F. Li* and C. Sminchisescu. Object Recognition by Sequential Figure-Ground Ranking.
In International Journal of Computer Vision (IJCV), July 2012. (* first two authors contributed equally) pdf

Conference Proceedings

J. Carreira, A. Kar, S. Tulsiani and J. Malik. Virtual View Networks for Object Reconstruction.
In CVPR 2015. pdf

A. Kar*, S. Tulsiani*, J. Carreira and J. Malik. Category-Specific Object Reconstruction from a Single Image. [Oral]
In CVPR 2015. (*first two authors contributed equally) pdf

C. Premebida, J. Carreira, J. Batista, U. Nunes. Pedestrian Detection Combining RGB and Dense Lidar Data.
In IROS 2014. pdf project/code

S. Vicente*, J. Carreira*, L. Agapito and J. Batista. Reconstructing PASCAL VOC. [Oral]
In CVPR 2014. (* first two authors contributed equally) pdf supp. material project/code slides talk

C. Ionescu, J. Carreira and C. Sminchisescu. Iterated Second-Order Label Sensitive Pooling for 3D Human Pose Estimation. [Oral]
In CVPR 2014. pdf project talk

J. F. Henriques, J. Carreira, R. Caseiro, J. Batista. Beyond Hard Negative Mining: Efficient Detector Learning via Block-Circulant Decomposition. [Oral]
In ICCV 2013. pdf supp. material project/code talk

F. Li, J. Carreira, G. Lebanon, C. Sminchisescu. Composite Statistical Inference for Semantic Segmentation.
In CVPR 2013. pdf

J. Carreira, R. Caseiro, J. Batista and C. Sminchisescu. Semantic Segmentation with Second-Order Pooling. [Oral]
In ECCV 2012. pdf project/code slides talk

A. Ion, J. Carreira and C. Sminchisescu. Probabilistic Joint Image Segmentation and Labeling. [Spotlight presentation]
In NIPS 2011. pdf

A. Ion, J. Carreira and C. Sminchisescu. Image Segmentation by Figure-Ground Composition into Maximal Cliques.
In ICCV 2011. pdf supp. material

J. Carreira and C. Sminchisescu. Constrained Parametric Min-Cuts for Automatic Object Segmentation.
In CVPR 2010. pdf

F. Li*, J. Carreira* and C. Sminchisescu. Object Recognition as Ranking Holistic Figure-Ground Hypotheses.
In CVPR 2010. (* first two authors contributed equally) pdf

Other

P. Agrawal, J. Carreira, and J. Malik. Learning to See by Moving.
arXiv, May 2015. pdf

S. Tulsiani, J. Carreira, and J. Malik. Pose Induction for Novel Object Categories.
arXiv, May 2015. pdf

J. Carreira. Bottom-Up Object Segmentation for Visual Recognition.
Doctoral Thesis. University of Bonn, December 2012. pdf

J. Carreira, A. Ion and C. Sminchisescu. Image Segmentation by Discounted Cumulative Ranking on Maximal Cliques.
Technical Report 06-2010 (arXiv:1009.4823), Computer Vision and Machine Learning Group, Institute for Numerical Simulation, University of Bonn, June 2010. pdf

J. Carreira, F. Li and C. Sminchisescu. Object Recognition by Ranking Figure-Ground Hypotheses.
Snowbird Learning, April 2010.pdf


Last actualization on 04-05-2015.