Papers
176,624 papers found
Relaxed Multiple-Instance SVM With Application to Object Discovery
Xinggang Wang, Zhuotun Zhu, Cong Yao et al.
Relaxing From Vocabulary: Robust Weakly-Supervised Deep Learning for Vocabulary-Free Image Tagging
Jianlong Fu, Yue Wu, Tao Mei et al.
Reliable and Scalable Variational Inference for the Hierarchical Dirichlet Process
Michael Hughes, Dae Il Kim, Erik Sudderth
Reliable Patch Trackers: Robust Visual Tracking by Exploiting Reliable Patches
Yang Li, Jianke Zhu, Steven C.H. Hoi
Removing Rain From a Single Image via Discriminative Sparse Coding
Yu Luo, Yong Xu, Hui Ji
Removing systematic errors for exoplanet search via latent causes
Bernhard Schölkopf, David Hogg, Dun Wang et al.
Render for CNN: Viewpoint Estimation in Images Using CNNs Trained With Rendered 3D Model Views
Hao Su, Charles R. Qi, Yangyan Li et al.
Rendering of Eyes for Eye-Shape Registration and Gaze Estimation
Erroll Wood, Tadas Baltrusaitis, Xucong Zhang et al.
Rent3D: Floor-Plan Priors for Monocular Layout Estimation
Chenxi Liu, Alexander G. Schwing, Kaustav Kundu et al.
Representing 3D Texture on Mesh Manifolds for Retrieval and Recognition Applications
Naoufel Werghi, Claudio Tortorici, Stefano Berretti et al.
Resolving Scale Ambiguity Via XSlit Aspect Ratio Analysis
Wei Yang, Haiting Lin, Sing Bing Kang et al.
Response-Based Approachability with Applications to Generalized No-Regret Problems
Andrey Bernstein, Nahum Shimkin
Rethinking LDA: Moment Matching for Discrete ICA
Anastasia Podosinnikova, Francis Bach, Simon Lacoste-Julien
Revenue Optimization against Strategic Buyers
Mehryar Mohri, Andres Munoz
Revisiting Kernelized Locality-Sensitive Hashing for Improved Large-Scale Image Retrieval
Ke Jiang, Qichao Que, Brian Kulis
Reweighted Laplace Prior Based Hyperspectral Compressive Sensing for Unknown Sparsity
Lei Zhang, Wei Wei, Yanning Zhang et al.
RGBD-Fusion: Real-Time High Precision Depth Recovery
Roy Or - El, Guy Rosman, Aaron Wetzler et al.
RGB-Guided Hyperspectral Image Upsampling
Hyeokhyen Kwon, Yu-Wing Tai
RGB-W: When Vision Meets Wireless
Alexandre Alahi, Albert Haque, Li Fei-Fei
RIDE: Reversal Invariant Descriptor Enhancement
Lingxi Xie, Jingdong Wang, Weiyao Lin et al.
Riemannian Coding and Dictionary Learning: Kernels to the Rescue
Mehrtash Harandi, Mathieu Salzmann
Risk and Regret of Hierarchical Bayesian Learners
Jonathan Huggins, Josh Tenenbaum
Risk Bounds for the Majority Vote: From a PAC-Bayesian Analysis to a Learning Algorithm
Pascal Germain, Alexandre Lacasse, Francois Laviolette et al.
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach
Yinlam Chow, Aviv Tamar, Shie Mannor et al.