2025-01-08 智能仪表资讯 0
在即将到来的2019年10月27日至11月2日，计算机视觉界的盛事——ICCV 2019，将在韩国首尔的COEX会议中心上举行。作为一场汇聚全球顶尖技术和学术精英的大型研讨会，它不仅吸引了行业专家的关注，也为我们提供了一个深入了解计算机视觉领域最新动态的绝佳机会。为了让大家更好地准备并参与此次盛会，我们特地整理了一份历年最佳论文集，从1998年至2017年的ICCV大会中精选出最具代表性的研究成果。以下是这份精选论文列表：
2017Mask R-CNN
Kaiming He, Facebook AI Research; et al.
2015Deep Neural Decision Forests
Peter Kontschieder, Microsoft Research; et al.
2013From Large Scale Image Categorization to Entry-Level Categories
Vicente Ordonez, University of North Carolina at Chapel Hill; et al.
2011Relative Attributes
Devi Parikh, Toyota Technological Institute at Chicago;
Kristen Grauman, University of Texas at Austin
2009Discriminative models for multi-class object layout
Chaitanya Desai, University of California Irvine; et al.
2007Population Shape Regression From Random Design Data
Bradley Davis, University of North Carolina at Chapel Hill; et al.
2005Globally Optimal Estimates for Geometric Reconstruction Problems
Fredrik Kahl, Lund University;
Didier Henrion, LAAS-CNRS
2003Detecting 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;
10.Image-based Rendering using Image-based Priors
Andrew Fitzgibbon,
University of Oxford;
11.Probabilistic Tracking with Exemplars in a Metric Space
Kentaro Toyama,
Andrew Blake,
12.The Space of All Stereo Images
Steven Seitz,
13.Euclidean Reconstruction and Reprojection up to Subgroups
Yi Ma,
University of California Berkeley;
14.A Theory of Shape by Space Carving
Kiriakos Kutulakos,
Steven Seitz,
15.Self-Calibration and Metric Reconstruction in spite of Varying and Unknown Internal Camera Parameters...
Marc Pollefeys,
Katholieke Universiteit Leuven;
16.The Problem of Degeneracy in Structure and Motion Recovery from Uncalibrated Image Sequences
Phil Torr,
Microsoft Research;
通过这些杰出的研究成果，你可以深入了解计算机视觉领域的发展历程，并对未来可能发生的一些趋势有所预见。此外，这些论文也为那些希望进一步探索AI世界的人提供了宝贵资源和学习资料。
点击这里参加：https://www.yanxishe.com/meeting/68?from=leiphonecolumn
