戳我參加：https://www.yanxishe.com/meeting/68?from=leiphonecolumn

ICCV 2019 將于 2019 年 10月27日至11月2日在韓國首爾的 COEX 會(huì)議中心舉行，作為計(jì)算機(jī)視覺三大頂級會(huì)議之一，備受大家的關(guān)注。以下是由AI研習(xí)社整理的1998年至2017年 ICCV 歷年最佳論文，論文已經(jīng)打包，傳送門請看：https://www.yanxishe.com/postDetail/14500?from=leiphonecolumn

2017	Mask R-CNN	Kaiming He, Facebook AI Research; et al.
2015	Deep Neural Decision Forests	Peter Kontschieder, Microsoft Research; et al.
2013	From Large Scale Image Categorization to Entry-Level Categories	Vicente Ordonez, University of North Carolina at Chapel Hill; et al.
2011	Relative Attributes	Devi Parikh, Toyota Technological Institute at Chicago Kristen Grauman, University of Texas at Austin
2009	Discriminative models for multi-class object layout	Chaitanya Desai, University of California Irvine; et al.
2007	Population Shape Regression From Random Design Data	Bradley Davis, University of North Carolina at Chapel Hill; et al.
2005	Globally Optimal Estimates for Geometric Reconstruction Problems	Fredrik Kahl, Lund University Didier Henrion, LAAS-CNRS
2003	Detecting Pedestrians using Patterns of Motion and Appearance	Paul Viola, Microsoft Research; et al.
	Image Parsing: Unifying Segmentation, Detection and Recognition	Zhuowen Tu, University of California Los Angeles; et al.
	Image-based Rendering using Image-based Priors	Andrew Fitzgibbon, University of Oxford; et al.
2001	Probabilistic Tracking with Exemplars in a Metric Space	Kentaro Toyama & Andrew Blake, Microsoft Research
	The Space of All Stereo Images	Steven Seitz, University of Washington
1999	Euclidean Reconstruction and Reprojection up to Subgroups	Yi Ma, University of California Berkeley; et al.
	A Theory of Shape by Space Carving	Kiriakos Kutulakos, University of Rochester Steven Seitz, Carnegie Mellon University
1998	Self-Calibration and Metric Reconstruction in spite of Varying and Unknown Internal Camera Paramet...	Marc Pollefeys, Katholieke Universiteit Leuven; et al.
	The Problem of Degeneracy in Structure and Motion Recovery from Uncalibrated Image Sequences	Phil Torr, Microsoft Research; et al.

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