Papers
CV-HAZOP: Introducing Test Data Validation for Computer Vision
Oliver Zendel, Markus Murschitz, Martin Humenberger et al.
DART: Dropouts meet Multiple Additive Regression Trees
Rashmi Korlakai Vinayak, Ran Gilad-Bachrach
DASC: Dense Adaptive Self-Correlation Descriptor for Multi-Modal and Multi-Spectral Correspondence
Seungryong Kim, Dongbo Min, Bumsub Ham et al.
Data-Driven 3D Voxel Patterns for Object Category Recognition
Yu Xiang, Wongun Choi, Yuanqing Lin et al.
Data-Driven Depth Map Refinement via Multi-Scale Sparse Representation
HyeokHyen Kwon, Yu-Wing Tai, Stephen Lin
Data-Driven Online Decision Making for Autonomous Manipulation
Daniel Kappler, Peter Pastor, Mrinal Kalakrishnan et al.
Data-Driven Sparsity-Based Restoration of JPEG-Compressed Images in Dual Transform-Pixel Domain
Xianming Liu, Xiaolin Wu, Jiantao Zhou et al.
Data-Driven Topological Motion Planning with Persistent Cohomology
Florian T. Pokorny, Danica Kragic
Data Generation as Sequential Decision Making
Philip Bachman, Doina Precup
Data-Guided Approach for Learning and Improving User Experience in Computer Networks
Yanan Bao, Xin Liu, Amit Pande
Data modeling with the elliptical gamma distribution
Suvrit Sra, Reshad Hosseini, Lucas Theis et al.
Dataset Fingerprints: Exploring Image Collections Through Data Mining
Konstantinos Rematas, Basura Fernando, Frank Dellaert et al.
Dealing with Difficult Instances of Object Rearrangement
Athanasios Krontiris, Kostas Bekris
Dealing with small data: On the generalization of context trees
Ralf Eggeling, Mikko Koivisto, Ivo Grosse
Decision Boundary for Discrete Bayesian Network Classifiers
Gherardo Varando, Concha Bielza, Pedro Larrañaga
Decomposition Bounds for Marginal MAP
Wei Ping, Qiang Liu, Alex Ihler
Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation
Seunghoon Hong, Hyeonwoo Noh, Bohyung Han
Decoupled Representation of the Error and Trajectory Estimates for Ef_cient Pose Estimation
Xing Zheng, Mingyang Li, Anastasios Mourikis
DeepBox: Learning Objectness With Convolutional Networks
Weicheng Kuo, Bharath Hariharan, Jitendra Malik
DEEP-CARVING: Discovering Visual Attributes by Carving Deep Neural Nets
Sukrit Shankar, Vikas K. Garg, Roberto Cipolla
Deep Colorization
Zezhou Cheng, Qingxiong Yang, Bin Sheng
DeepContour: A Deep Convolutional Feature Learned by Positive-Sharing Loss for Contour Detection
Wei Shen, Xinggang Wang, Yan Wang et al.
Deep Convolutional Inverse Graphics Network
Tejas D Kulkarni, William F. Whitney, Pushmeet Kohli et al.
Deep Convolutional Neural Fields for Depth Estimation From a Single Image
Fayao Liu, Chunhua Shen, Guosheng Lin
Deep Correlation for Matching Images and Text
Fei Yan, Krystian Mikolajczyk