Papers
176,624 papers found
Depth Recovery From Light Field Using Focal Stack Symmetry
Haiting Lin, Can Chen, Sing Bing Kang et al.
Depth Selective Camera: A Direct, On-Chip, Programmable Technique for Depth Selectivity in Photography
Ryuichi Tadano, Adithya Kumar Pediredla, Ashok Veeraraghavan
Describing Videos by Exploiting Temporal Structure
Li Yao, Atousa Torabi, Kyunghyun Cho et al.
Descriptor Free Visual Indoor Localization With Line Segments
Branislav Micusik, Horst Wildenauer
Designing Deep Networks for Surface Normal Estimation
Xiaolong Wang, David Fouhey, Abhinav Gupta
Detailed Full-Body Reconstructions of Moving People From Monocular RGB-D Sequences
Federica Bogo, Michael J. Black, Matthew Loper et al.
Detecting Accounting Frauds in Publicly Traded U.S. Firms: A Machine Learning Approach
Bin Li, Julia Yu, Jie Zhang et al.
Detection and Segmentation of 2D Curved Reflection Symmetric Structures
Ching L. Teo, Cornelia Fermuller, Yiannis Aloimonos
Detector Discovery in the Wild: Joint Multiple Instance and Representation Learning
Judy Hoffman, Deepak Pathak, Trevor Darrell et al.
Deterministic Independent Component Analysis
Ruitong Huang, Andras Gyorgy, Csaba Szepesvári
DevNet: A Deep Event Network for Multimedia Event Detection and Evidence Recounting
Chuang Gan, Naiyan Wang, Yi Yang et al.
Differentially Private Bayesian Optimization
Matt Kusner, Jacob Gardner, Roman Garnett et al.
Differentially Private Learning of Structured Discrete Distributions
Ilias Diakonikolas, Moritz Hardt, Ludwig Schmidt
Differentially private subspace clustering
Yining Wang, Yu-Xiang Wang, Aarti Singh
Differential Recurrent Neural Networks for Action Recognition
Vivek Veeriah, Naifan Zhuang, Guo-Jun Qi
Dimensionality estimation without distances
Matthäus Kleindessner, Ulrike Luxburg
Direct, Dense, and Deformable: Template-Based Non-Rigid 3D Reconstruction From RGB Video
Rui Yu, Chris Russell, Neill D. F. Campbell et al.
Direct Density-Derivative Estimation and Its Application in KL-Divergence Approximation
Hiroaki Sasaki, Yung-Kyun Noh, Masashi Sugiyama
Direct Intrinsics: Learning Albedo-Shading Decomposition by Convolutional Regression
Takuya Narihira, Michael Maire, Stella X. Yu
Direction Matters: Depth Estimation With a Surface Normal Classifier
Christian Hane, Lubor Ladicky, Marc Pollefeys
Direct Loss Minimization Inverse Optimal Control
Andreas Doerr, Nathan Ratliff, Jeannette Bohg et al.
Direct Structure Estimation for 3D Reconstruction
Nianjuan Jiang, Daniel Lin, Minh N. Do et al.
DiSCO: Distributed Optimization for Self-Concordant Empirical Loss
Yuchen Zhang, Xiao Lin
Discovering States and Transformations in Image Collections
Phillip Isola, Joseph J. Lim, Edward H. Adelson