Computer Vision – ECCV 2014 - Lecture Notes in Computer Science
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Published By Springer International Publishing

9783319105772, 9783319105789
Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Depth-of-Field and Coded Aperture Imaging on XSlit Lens

2014 ◽  
pp. 753-766 ◽  
Author(s):  
Jinwei Ye ◽  
Yu Ji ◽  
Wei Yang ◽  
Jingyi Yu
Keyword(s):  
Depth Of Field ◽  
Coded Aperture ◽  
Coded Aperture Imaging

Exploiting Low-Rank Structure from Latent Domains for Domain Generalization

2014 ◽  
pp. 628-643 ◽  
Author(s):  
Zheng Xu ◽  
Wen Li ◽  
Li Niu ◽  
Dong Xu
Keyword(s):  
Low Rank

Context as Supervisory Signal: Discovering Objects with Predictable Context

2014 ◽  
pp. 362-377 ◽  
Author(s):  
Carl Doersch ◽  
Abhinav Gupta ◽  
Alexei A. Efros

Rank Minimization with Structured Data Patterns

2014 ◽  
pp. 250-265 ◽  
Author(s):  
Viktor Larsson ◽  
Carl Olsson ◽  
Erik Bylow ◽  
Fredrik Kahl
Keyword(s):  
Structured Data ◽  
Rank Minimization

Separable Spatiotemporal Priors for Convex Reconstruction of Time-Varying 3D Point Clouds

2014 ◽  
pp. 204-219 ◽  
Author(s):  
Tomas Simon ◽  
Jack Valmadre ◽  
Iain Matthews ◽  
Yaser Sheikh
Keyword(s):  
Point Clouds ◽  
Time Varying ◽  
3D Point Clouds

scholarly journals A Hierarchical Representation for Future Action Prediction

2014 ◽  
pp. 689-704 ◽  
Author(s):  
Tian Lan ◽  
Tsung-Chuan Chen ◽  
Silvio Savarese
Keyword(s):  
Action Prediction ◽  
Hierarchical Representation ◽  
Future Action

Sparse Additive Subspace Clustering

2014 ◽  
pp. 644-659 ◽  
Author(s):  
Xiao-Tong Yuan ◽  
Ping Li
Keyword(s):  
Subspace Clustering

scholarly journals Spatio-temporal Object Detection Proposals

2014 ◽  
pp. 737-752 ◽  
Author(s):  
Dan Oneata ◽  
Jerome Revaud ◽  
Jakob Verbeek ◽  
Cordelia Schmid
Keyword(s):  
Object Detection ◽  
Temporal Object ◽  
Spatio Temporal
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