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252篇 您的检索式：作者名="Zisserman A"

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	题名	作者	年代	出处	被引量
1	Learning to count objects in images显示文摘	Lempitsky V Zisserman A	2010	Advances in Neural Information Processing Sys?tems2010，23，：	1
2	Scene classification using a hy- brid generative/discriminative approach显示文摘	BosehA Zisserman A Muoz X	2008	IEEE Transactions on Pattern Analysis and Machine Intelligence2008，30，4：	1
3	Scene classification using a hybrid generative/discriminative approach显示文摘	Bosch A Zisserman A Munoz X	2008	IEEE Trans Pattern Anal Mach Intell2008，30，4：	1
4	Scene classification using a hybrid generative/discriminative approach 显示文摘	Bosch A Zisserman A Mutioz X	2008	IEEE Transactions on Pattern Analysis and Machine Intelligence2008，30，4：	1
5	Scene classification using a hy- brid generative/discriminative approach 显示文摘	Bosch A Zisserman A Muoz X	2008	IEEE Transactions on Pattern Analysis and Machine Intelligence2008，30，4：	1
6	Weakly supervised scale-invariant learning of models for visual recognition显示文摘	Fergus R Perona P Zisserman A	2007	Intemational Journal of Computer Vision2007，71，3：	1
7	Efficient additive kernels via explicit feature maps 显示文摘	Vedaldi A Zisserman A	2012	IEEE Transactions on Pattern Analysis and Machine Intelligence2012，34，3：	1
8	Object level grouping for video shots 显示文摘	Sivic J Schaff'alitzky F Zisserman A	2006	International Journal of Computer Vision(S0920-5691)2006，67，2：	1
9	MLESAC: a new robust estimator with application to estimating image geom-etry显示文摘	Tort P H S Zisserman A	2000	Computer Vision and Image Understand- ing2000，78，1：	1
10	Single View Metrology显示文摘	Criminisi A Reid I Zisserman A	2000	International Journal of Computer Vision2000，40，2：	1
11	Single view metrology显示文摘	Criminisi A Reid I Zisserman A	2000	International Journal of Computer Vision2000，40，2：	1
12	Delving deeper into the whorl of flower segmentation显示文摘	NILSBACK M E ZISSERMAN A	2010	Image and Vision Computing2010，28，6：	1
13	Very deep convolutionalnetworks for large-scale image recognition 显示文摘	Simonyan K Zisserman A		arXivpreprint arXiv: 14090，2014，：	1
14	Weakly supervised scale-invariant learning of models for visual recognition 显示文摘	Fergus R Perona P and Zisserman A	2007	International Journal of Computer Vision2007，71，3：	1
15	MLESAC : a new robust estimator with application to estimating image geometry 显示文摘	TORR P H S ZISSERMAN A	2000	Computer Vision and Image Understanding2000，78，1：	1
16	Very Deep Convolutional Networks for Large-Scale Image Recognition显示文摘	Simonyan K Zisserman A Simonyan K	2014	Eprint Arxiv2014，，：	1
17	A statistical approach to ma- terial classification using image patch exemplars显示文摘	Varma M Zisserman A	2009	IEEE Transactions on Pattern Analysis and Machine Intelligence2009，31，11：	1
18	Nonuniform deblurring for shaken images显示文摘	Whyte O Sivic J Zisserman A	2012	International Journal of Computer Vision2012，98，2：	1
19	Scene classification using a hybrid generative discriminative approach显示文摘	BOSCH A ZISSERMAN A XAVIER Mun	2008	IEEE Transactions On Pattern Analysis and Machine Intelligence2008，30，4：	1
20	Planar grouping for automatic detection of vanishing lines and points 显示文摘	SCHAFFALITZKY F ZISSERMAN A	2000	Image and Vision Computing2000，18，9：	1

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