Pedro Felipe Felzenszwalb: Difference between revisions
Content deleted Content added
m cap |
add publications |
||
| Line 22: | Line 22: | ||
==Awards and honors== |
==Awards and honors== |
||
In 2010, Felzenszwalb was awarded the [[Conference on Computer Vision and Pattern Recognition#Longuet-Higgins Prize|Longuet-Higgins Prize]] for his work in the field of [[computer vision]].<ref name="IEEE" /> In 2013, he was awarded the [[Grace Murray Hopper Award]] by the [[Association for Computing Machinery]] for his contributions to the problem of [[Outline of object recognition|object recognition]] in pictures and video.<ref>{{cite web |title=Pedro F Felzenszwalb |url=https://awards.acm.org/award_winners/felzenszwalb_UI94473 |website=acm.org |publisher=Association for Computing Machinery |language=en}}</ref><ref>{{cite web |title=Pedro Felzenszwalb Wins ACM’s Grace Murray Hopper Award |url=https://www.brown.edu/academics/engineering/news/2014-04/pedro-felzenszwalb-wins-acm%E2%80%99s-grace-murray-hopper-award |website=School of Engineering At Brown University |publisher=Brown University}}</ref> In 2014, he was awarded the Edward J. McCluskey Technical Achievement Award by the [[Institute of Electrical and Electronics Engineers|IEEE]] for his work with object recognition with deformable models.<ref name="IEEE" /> In 2018, Felzenszwalb received the Longuet-Higgins prize a second time for fundamental contributions to computer vision. In particular, this prize recognized his work with discriminately trained, multiscale, deformable part models. The prize was first awarded in 2005, and Felzenszwalb is among a select group of repeat winners.<ref>{{cite web |title=Felzenszwalb Wins The Longuet-Higgins Prize For Fundamental Contributions To Computer Vision |url=https://cs.brown.edu/news/2018/07/09/felzenszwalb-wins-longuet-higgins-prize-fundamental-contribution-computer-vision/ |publisher=Brown University |language=en}}</ref> |
In 2010, Felzenszwalb was awarded the [[Conference on Computer Vision and Pattern Recognition#Longuet-Higgins Prize|Longuet-Higgins Prize]] for his work in the field of [[computer vision]].<ref name="IEEE" /> In 2013, he was awarded the [[Grace Murray Hopper Award]] by the [[Association for Computing Machinery]] for his contributions to the problem of [[Outline of object recognition|object recognition]] in pictures and video.<ref>{{cite web |title=Pedro F Felzenszwalb |url=https://awards.acm.org/award_winners/felzenszwalb_UI94473 |website=acm.org |publisher=Association for Computing Machinery |language=en}}</ref><ref>{{cite web |title=Pedro Felzenszwalb Wins ACM’s Grace Murray Hopper Award |url=https://www.brown.edu/academics/engineering/news/2014-04/pedro-felzenszwalb-wins-acm%E2%80%99s-grace-murray-hopper-award |website=School of Engineering At Brown University |publisher=Brown University}}</ref> In 2014, he was awarded the Edward J. McCluskey Technical Achievement Award by the [[Institute of Electrical and Electronics Engineers|IEEE]] for his work with object recognition with deformable models.<ref name="IEEE" /> In 2018, Felzenszwalb received the Longuet-Higgins prize a second time for fundamental contributions to computer vision. In particular, this prize recognized his work with discriminately trained, multiscale, deformable part models. The prize was first awarded in 2005, and Felzenszwalb is among a select group of repeat winners.<ref>{{cite web |title=Felzenszwalb Wins The Longuet-Higgins Prize For Fundamental Contributions To Computer Vision |url=https://cs.brown.edu/news/2018/07/09/felzenszwalb-wins-longuet-higgins-prize-fundamental-contribution-computer-vision/ |publisher=Brown University |language=en}}</ref> |
||
==Selected publications== |
|||
*{{cite Q|Q45713777}} |
|||
*{{cite journal |last1=Felzenszwalb |first1=P F |last2=Girshick |first2=R B |last3=McAllester |first3=D |last4=Ramanan |first4=D |title=Object Detection with Discriminatively Trained Part-Based Models |journal=[[IEEE Transactions on Pattern Analysis and Machine Intelligence]] |date=September 2010 |volume=32 |issue=9 |pages=1627–1645 |doi=10.1109/TPAMI.2009.167}} |
|||
*{{cite journal |last1=Felzenszwalb |first1=Pedro |last2=McAllester |first2=David |last3=Ramanan |first3=Deva |title=A discriminatively trained, multiscale, deformable part model |journal=2008 [[IEEE Conference on Computer Vision and Pattern Recognition]] |date=June 2008 |pages=1–8 |doi=10.1109/CVPR.2008.4587597}} |
|||
*{{cite journal |last1=Felzenszwalb |first1=Pedro F. |last2=Huttenlocher |first2=Daniel P. |title=Pictorial Structures for Object Recognition |journal=[[International Journal of Computer Vision]] |date=January 2005 |volume=61 |issue=1 |pages=55–79 |doi=10.1023/B:VISI.0000042934.15159.49}} |
|||
*{{cite Q|Q56221805}} |
|||
==References== |
==References== |
||
Revision as of 14:20, 11 November 2021
 |
Pedro Felipe Felzenszwalb | |
|---|---|
| Education | Cornell University Massachusetts Institute of Technology |
| Awards | Longuet-Higgins Prize (2010, 2018) Grace Murray Hopper Award (2013) Edward J. McCluskey Technical Achievement Award (2014) |
| Scientific career | |
| Fields | |
| Institutions | Brown University |
| Thesis | Representation and Detection of Shapes in Image (2003) |
| Doctoral advisor | Eric Grimson |
Pedro Felipe Felzenszwalb is an American computer scientist and professor of the School of Engineering and Department of Computer Science at Brown University.[1] Felzenszwalb received his B.S. in computer science from Cornell University in 1999. He earned his M.S. and Ph.D. from the Massachusetts Institute of Technology in 2001 and 2003, respectively.[2]
Awards and honors
In 2010, Felzenszwalb was awarded the Longuet-Higgins Prize for his work in the field of computer vision.[2] In 2013, he was awarded the Grace Murray Hopper Award by the Association for Computing Machinery for his contributions to the problem of object recognition in pictures and video.[3][4] In 2014, he was awarded the Edward J. McCluskey Technical Achievement Award by the IEEE for his work with object recognition with deformable models.[2] In 2018, Felzenszwalb received the Longuet-Higgins prize a second time for fundamental contributions to computer vision. In particular, this prize recognized his work with discriminately trained, multiscale, deformable part models. The prize was first awarded in 2005, and Felzenszwalb is among a select group of repeat winners.[5]
Selected publications
- Pedro F Felzenszwalb; Ross B Girshick; David McAllester; Deva Ramanan (1 September 2010). "Object detection with discriminatively trained part-based models". IEEE Transactions on Pattern Analysis and Machine Intelligence. 32 (9): 1627–1645. doi:10.1109/TPAMI.2009.167. ISSN 0162-8828. PMID 20634557. Wikidata Q45713777.
- Felzenszwalb, P F; Girshick, R B; McAllester, D; Ramanan, D (September 2010). "Object Detection with Discriminatively Trained Part-Based Models". IEEE Transactions on Pattern Analysis and Machine Intelligence. 32 (9): 1627–1645. doi:10.1109/TPAMI.2009.167.
- Felzenszwalb, Pedro; McAllester, David; Ramanan, Deva (June 2008). "A discriminatively trained, multiscale, deformable part model". 2008 IEEE Conference on Computer Vision and Pattern Recognition: 1–8. doi:10.1109/CVPR.2008.4587597.
- Felzenszwalb, Pedro F.; Huttenlocher, Daniel P. (January 2005). "Pictorial Structures for Object Recognition". International Journal of Computer Vision. 61 (1): 55–79. doi:10.1023/B:VISI.0000042934.15159.49.
- Pedro F. Felzenszwalb; Daniel P. Huttenlocher (1 May 2006). "Efficient Belief Propagation for Early Vision". International Journal of Computer Vision. 70 (1): 41–54. doi:10.1007/S11263-006-7899-4. ISSN 0920-5691. Wikidata Q56221805.
References
- ^ "Pedro Felzenszwalb". cs.brown.edu. Retrieved 8 May 2019.
- ^ a b c "Pedro F. Felzenszwalb". IEEE Computer Society. IEEE.
- ^ "Pedro F Felzenszwalb". acm.org. Association for Computing Machinery.
- ^ "Pedro Felzenszwalb Wins ACM's Grace Murray Hopper Award". School of Engineering At Brown University. Brown University.
- ^ "Felzenszwalb Wins The Longuet-Higgins Prize For Fundamental Contributions To Computer Vision". Brown University.
  | This biography of an American academic is a stub. You can help Wikipedia by expanding it. |