I was born in Rio de Janeiro, Brazil. I received a BS degree in Computer Science from Cornell University in 1993 and MS and PhD degrees in EECS from MIT in 2001 and 2003. I was a professor at the University of Chicago from 2004 to 2011. I have been a professor at Brown since 2011.
| Grim, Anna, Felzenszwalb, Pedro. "Convex combination belief propagation." Applied Mathematics and Computation, vol. 438, 2023, pp. 127572. |
| P. Felzenszwalb, C. Klivans, A. Paul. "Clustering with Semidefinite Programming and Fixed Point Iteration." Journal of Machine learning research, vol. 23, 2022, pp. 1-23. |
| Rocha Neto, Jeova F. S., Felzenszwalb, Pedro, Vazquez, Marilyn. "Direct Estimation of Appearance Models for Segmentation." SIAM Journal on Imaging Sciences, vol. 15, no. 1, 2022, pp. 172-191. |
| Felzenszwalb, Pedro, Klivans, Caroline. "Flow-firing processes." Journal of Combinatorial Theory, Series A, vol. 177, 2021, pp. 105308. |
| Felzenszwalb, Pedro F., Klivans, Caroline J., Paul, Alice. "Iterated linear optimization." Quarterly of Applied Mathematics, vol. 79, no. 4, 2021, pp. 601-615. |
| Chua, Jeroen, Felzenszwalb, Pedro F. "Scene Grammars, Factor Graphs, and Belief Propagation." Journal of the ACM, vol. 67, no. 4, 2020, pp. 1-41. |
| Felzenszwalb, Pedro F., Svaiter, Benar F. "Diffusion methods for classification with pairwise relationships." Quarterly of Applied Mathematics, vol. 77, no. 4, 2019, pp. 793-810. |
|
S. Naderi Parizi, A. Vedaldi, A. Zisserman, P. Felzenszwalb.
"Automatic Discovery and Optimization of Parts for Image Classification." International Conference on Learning Representations, 2015.
|
| Song, Hyun Oh, Girshick, Ross, Zickler, Stefan, Geyer, Christopher, Felzenszwalb, Pedro, Darrell, Trevor. "Generalized Sparselet Models for Real-Time Multiclass Object Recognition." IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 37, no. 5, 2015, pp. 1001-1012. |
|
Pedro Felzenszwalb, John Oberlin.
"Multiscale Fields of Patterns." Neural Information Processing Systems, 2014.
|
| Felzenszwalb, Pedro, Girshick, Ross, McAllester, David, Ramanan, Deva. "Visual object detection with deformable part models." Communications of the ACM, vol. 56, no. 9, 2013, pp. 97. |
| Pedro F. Felzenszwalb, Daniel P. Huttenlocher. "Distance Transforms of Sampled Functions." Theory of Computing, vol. 8, no. 19, 2012, pp. 415-428. |
| Parizi, S. N., Oberlin, J. G., Felzenszwalb, P. F. "Reconfigurable models for scene recognition." 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012. |
| Song, Hyun Oh, Zickler, Stefan, Althoff, Tim, Girshick, Ross, Fritz, Mario, Geyer, Christopher, Felzenszwalb, Pedro, Darrell, Trevor. "Sparselet Models for Efficient Multiclass Object Detection." Automata, Languages and Programming, 2012, pp. 802-815. |
| Felzenszwalb, P F, Zabih, R. "Dynamic Programming and Graph Algorithms in Computer Vision." IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 33, no. 4, 2011, pp. 721-740. |
| Felzenszwalb, Pedro F., McAuley, J. J. "Fast Inference with Min-Sum Matrix Product." IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 33, no. 12, 2011, pp. 2549-2554. |
| Felzenszwalb, Pedro F., Girshick, Ross B., McAllester, David. "Cascade object detection with deformable part models." 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010. |
| Felzenszwalb, Pedro F., Pap, Gyula, Tardos, Eva, Zabih, Ramin. "Globally optimal pixel labeling algorithms for tree metrics." 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010. |
| Felzenszwalb, P F, Girshick, R B, McAllester, D, Ramanan, D. "Object Detection with Discriminatively Trained Part-Based Models." IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 32, no. 9, 2010, pp. 1627-1645. |
| Felzenszwalb, Pedro F., Veksler, Olga. "Tiered scene labeling with dynamic programming." 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010. |
| Babai, László, Felzenszwalb, Pedro F. "Computing rank-convolutions with a mask." ACM Transactions on Algorithms, vol. 6, no. 1, 2009, pp. 1-13. |
| Basri, R., Felzenszwalb, P.F., Girshick, R.B., Jacobs, D.W., Klivans, C.J. "Visibility constraints on features of 3D objects." 2009 IEEE Conference on Computer Vision and Pattern Recognition, 2009. |
| Felzenszwalb, Pedro, McAllester, David, Ramanan, Deva. "A discriminatively trained, multiscale, deformable part model." 2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008. |
| Felzenszwalb, Pedro F., Schwartz, Joshua D. "Hierarchical Matching of Deformable Shapes." 2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007. |
| Felzenszwalb, P., McAllester, D. "A Min-Cover Approach for Finding Salient Curves." 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06), 2006. |
| Crandall, David, Felzenszwalb, Pedro, Huttenlocher, Daniel. "Object Recognition by Combining Appearance and Geometry." Automata, Languages and Programming, 2006, pp. 462-482. |
| Felzenszwalb, P.F. "Representation and detection of deformable shapes." IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 27, no. 2, 2005, pp. 208-220. |
| Crandall, D., Felzenszwalb, P., Huttenlocher, D. "Spatial Priors for Part-Based Recognition Using Statistical Models." 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), 2005. |
| Felzenszwalb, P.F., Huttenlocher, D.P. "Efficient belief propagation for early vision." Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004., 2004. |
| Felzenszwalb, Pedro F., Huttenlocher, Daniel P. "Efficient Graph-Based Image Segmentation." International Journal of Computer Vision, vol. 59, no. 2, 2004, pp. 167-181. |
| Year | Degree | Institution |
|---|---|---|
| 2003 | PhD | Massachusetts Institute of Technology |
| 2001 | MS | Massachusetts Institute of Technology |
| 1999 | BS | Cornell University |
ACM Grace Murray Hopper Award
IEEE Technical Achievement Award
PASCAL Visual Object Challenge "Lifetime Achievement" Prize
Longuet-Higgins Prize
NSF Faculty Early Career Development (CAREER) Award
| CSCI 1420 - Machine Learning |
| ENGN 1570 - Linear System Analysis |
| ENGN 1610 - Image Understanding |
| ENGN 2520 - Pattern Recognition and Machine Learning |
| ENGN 2912P - Topics in Optimization |
| ENGN 2912S - Topics in Image Analysis |
