问鼎马尔奖

本人是外行，下列信息是用Bing搜来的而已。Computer Vision Awards – The Computer Vision Foundation (thecvf.com)

The computer vision community gives out a variety of awards at major vision meetings. These awards are explained below, with a complete listing of winners for each following.

• Longuet-Higgins Prize
• Koenderink Prize
• Helmholtz Prize
• CVPR Best Paper Award [IEEE Conference on Computer Vision and Pattern Recognition]
• CVPR Best Student Paper Award
• CVPR Best Paper Honorable Mention Award
• ICCV Best Paper Award (Marr Prize) [International Conference on Computer Vision]
• ICCV Best Student Paper Award
• ICCV Best Paper Honorable Mention Award
• ECCV Best Paper Award [European Conference on Computer Vision]
• ECCV Best Paper Honorable Mention Award
• PAMI Young Researcher Award [Pattern Analysis and Machine Intelligence]
• PAMI Mark Everingham Prize
• PAMI Azriel Rosenfeld Lifetime Achievement Award
• PAMI Distinguished Researcher Award
• PAMI Appreciation Award

The ICCV best paper award is the Marr Prize, named after British neuroscientist David Marr. The award is picked by a committee delegated by the program chairs of the conference.

• 2003 “Image Parsing: Unifying Segmentation, Detection and Recognition” Z. Tu, X. Chen, A. L. Yuille, S.-C. Zhu

The ICCV best paper honorable mention award is picked by a committee delegated by the program chairs of the conference. It recognizes outstanding work appearing at the conference.

• 2007 “Deformable Template As Active Basis” Y. Nian Wu, Z. Si, C. Fleming, S.-C. Zhu

The ICCV Helmholtz Prize, known as the Test of Time Award before 2013, is awarded every other year at the ICCV, recognizing ICCV papers from ten or more years earlier that had a significant impact on computer vision research. Winners are selected by the IEEE Computer Society’s Technical Committee on Pattern Analysis and Machine Intelligence. The award is named after the 19th century physician and physicist Hermann von Helmholtz, and the ICCV’s award is not related to the various Helmholtz Prizes in physics, or the Hermann von Helmholtz Prize in neuroscience.

• 2013 “Region Competition: Unifying Snakes, Region Growing, Energy/Bayes/MDL for Multi-band Image Segmentation” S. C. Zhu, T. S. Lee, A. Yuille [pdf]

 问鼎的解释|问鼎的意思|汉典“问鼎”词语的解释 (zdic.net)

David Marr (shimon-edelman.github.io) His publications:

(1969) "A theory of cerebellar cortex." J. Physiol., 202:437–470.
(1970) "A theory for cerebral neocortex." Proceedings of the Royal Society of London B, 176:161–234.
(1971) "Simple memory: a theory for archicortex." Phil. Trans. Royal Soc. London, 262:23–81.
(1974) "The computation of lightness by the primate retina." Vision Research, 14:1377–1388.
(1975) "Approaches to biological information processing." Science, 190:875–876.
(1976) "Early processing of visual information." Phil. Trans. R. Soc. Lond. B, 275:483–524.
(1976) "Cooperative computation of stereo disparity." Science, 194:283–287. (with Tomaso Poggio)
(March 1976) "Artificial intelligence: A personal view." Technical Report AIM 355, MIT AI Laboratory, Cambridge, MA.
(1977) "Artificial intelligence: A personal view." Artificial Intelligence 9(1), 37–48.
(1977) "From understanding computation to understanding neural circuitry." Neurosciences Res. Prog. Bull., 15:470–488. (with Tomaso Poggio)
(1978) "Representation and recognition of the spatial organization of three dimensional shapes." Proceedings of the Royal Society of London B, 200:269–294. (with H. K. Nishihara)
(1979) "A computational theory of human stereo vision." Proceedings of the Royal Society of London B, 204:301–328. (with Tomaso Poggio)
(1980) "Theory of edge detection." Proc. R. Soc. Lond. B, 207:187–217. (with E. Hildreth)
(1981) "Artificial intelligence: a personal view." In Haugeland, J., ed., Mind Design, chapter 4, pages 129–142. MIT Press, Cambridge, MA.
(1982) "Representation and recognition of the movements of shapes." Proceedings of the Royal Society of London B, 214:501–524. (with L. M. Vaina)
(1982) Vision: A Computational Investigation into the Human Representation and Processing of Visual Information. San Francisco: W. H. Freeman and Company. ISBN 0-7167-1284-9. (In 2010, MIT press re-published the book with a foreword from Shimon Ullman and an afterword from Tomaso Poggio under ISBN 9780262514620.)

百度翻译上段：

（1969）“小脑皮质理论”J.生理学。，202:437–470.

（1970）“大脑新皮质理论”伦敦皇家学会会刊B，176:161–234。

（1971）“简单记忆：大脑皮层理论”菲尔。跨。皇家Soc。伦敦，262:23–81。

（1974）“灵长类视网膜对亮度的计算。”视觉研究，14:1377–1388。

（1975）“生物信息处理方法”《科学》，190:875-876。

（1976）“视觉信息的早期处理”菲尔。跨。R.Soc。隆德。B、 275:483–524。

（1976）“立体视差的协同计算”《科学》，194:283–287。（和托马索·波乔一起）

（1976年3月）“人工智能：个人观点”技术报告AIM 355，麻省理工学院人工智能实验室，马萨诸塞州剑桥。

（1977）“人工智能：个人观点”人工智能9（1），37-48。

（1977）“从理解计算到理解神经电路。”神经科学研究进展。公牛15:470–488. （和托马索·波乔一起）

（1978）“三维形状空间组织的表示和识别。”伦敦皇家学会会刊B，200:269–294。（与H.K.西原一起）

（1979）“人类立体视觉的计算理论”伦敦皇家学会会刊B，204:301–328。（和托马索·波乔一起）

（1980）“边缘检测理论”过程。R.Soc。隆德。B、 207:187-217。（与E.希尔德雷斯合影）

（1981）“人工智能：个人观点”J.Haugeland，ed.，心智设计，第4章，第129-142页。麻省理工学院出版社，马萨诸塞州剑桥。

（1982）“形状运动的表示和识别。”伦敦皇家学会会刊B，214:501–524。（与L.M.瓦伊纳一起）

（1982）视觉：对人类视觉信息表现和处理的计算机研究。旧金山：W·H·弗里曼公司。ISBN 0-7167-1284-9。（2010年，麻省理工学院出版社根据ISBN 9780262514620重新出版了这本书，其中包括希蒙·乌尔曼的前言和托马索·波乔的后记。）

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来源： https://www.cnblogs.com/funwithwords/p/15864359.html