Papers
176,624 papers found
Blur Kernel Estimation Using Normalized Color-Line Prior
Wei-Sheng Lai, Jian-Jiun Ding, Yen-Yu Lin et al.
BodyPrint: Pose Invariant 3D Shape Matching of Human Bodies
Jiangping Wang, Kai Ma, Vivek Kumar Singh et al.
BOLD - Binary Online Learned Descriptor For Efficient Image Matching
Vassileios Balntas, Lilian Tang, Krystian Mikolajczyk
Book2Movie: Aligning Video Scenes With Book Chapters
Makarand Tapaswi, Martin Bauml, Rainer Stiefelhagen
Boosted Categorical Restricted Boltzmann Machine for Computational Prediction of Splice Junctions
Taehoon Lee, Sungroh Yoon
Boosting Object Proposals: From Pascal to COCO
Jordi Pont-Tuset, Luc Van Gool
Bounding errors of Expectation-Propagation
Guillaume P Dehaene, Simon Barthelmé
Bounding the Cost of Search-Based Lifted Inference
David B Smith, Vibhav G Gogate
Box Aggregation for Proposal Decimation: Last Mile of Object Detection
Shu Liu, Cewu Lu, Jiaya Jia
BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation
Jifeng Dai, Kaiming He, Jian Sun
BubbLeNet: Foveated Imaging for Visual Discovery
Kevin Matzen, Noah Snavely
Budget Allocation Problem with Multiple Advertisers: A Game Theoretic View
Takanori Maehara, Akihiro Yabe, Ken-ichi Kawarabayashi
Budgeted Bandit Problems with Continuous Random Costs
Yingce Xia, Wenkui Ding, Xu-Dong Zhang et al.
Building a Bird Recognition App and Large Scale Dataset With Citizen Scientists: The Fine Print in Fine-Grained Dataset Collection
Grant Van Horn, Steve Branson, Ryan Farrell et al.
Building Dynamic Cloud Maps From the Ground Up
Calvin Murdock, Nathan Jacobs, Robert Pless
Building Proteins in a Day: Efficient 3D Molecular Reconstruction
Marcus A. Brubaker, Ali Punjani, David J. Fleet
Burst Deblurring: Removing Camera Shake Through Fourier Burst Accumulation
Mauricio Delbracio, Guillermo Sapiro
Calibrated Multivariate Regression with Application to Neural Semantic Basis Discovery
Han Liu, Lie Wang, Tuo Zhao
Calibrated Structured Prediction
Volodymyr Kuleshov, Percy Liang
Calibration of conditional composite likelihood for Bayesian inference on Gibbs random fields
Julien Stoehr, Nial Friel
Camera Intrinsic Blur Kernel Estimation: A Reliable Framework
Ali Mosleh, Paul Green, Emmanuel Onzon et al.
Camera Pose Voting for Large-Scale Image-Based Localization
Bernhard Zeisl, Torsten Sattler, Marc Pollefeys
Can Humans Fly? Action Understanding With Multiple Classes of Actors
Chenliang Xu, Shao-Hang Hsieh, Caiming Xiong et al.
Car That Knows Before You Do: Anticipating Maneuvers via Learning Temporal Driving Models
Ashesh Jain, Hema S. Koppula, Bharad Raghavan et al.
Cascaded Hand Pose Regression
Xiao Sun, Yichen Wei, Shuang Liang et al.