Index for chum

Chum, O. Co Author Listing * 3D Geometry from Uncalibrated Images
* Approximate models for fast and accurate epipolar geometry estimation
* Asymmetric Feature Maps with Application to Sketch Based Retrieval
* Camera Elevation Estimation from a Single Mountain Landscape Photograph
* CNN Image Retrieval Learns from BoW: Unsupervised Fine-Tuning with Hard Examples
* Construction of Precise Local Affine Frames
* Coplanar Repeats by Energy Minimization
* Deep Shape Matching
* Efficient contour match kernel
* Efficient Diffusion on Region Manifolds: Recovering Small Objects with Compact CNN Representations
* Efficient Image Detail Mining
* Efficient representation of local geometry for large scale object retrieval
* Epipolar geometry estimation via RANSAC benefits from the oriented epipolar constraint
* Epipolar Geometry from Two Correspondences
* Exemplar Model for Learning Object Classes, An
* Fast computation of min-Hash signatures for image collections
* Fixing the Locally Optimized RANSAC
* From Dusk Till Dawn: Modeling in the Dark
* From single image query to detailed 3D reconstruction
* geometric error for homographies, The
* Geometric Hashing with Local Affine Frames
* Geometric min-Hashing: Finding a (thick) needle in a haystack
* Homography estimation from correspondences of local elliptical features
* Image Matching and Retrieval by Repetitive Patterns
* In the Saddle: Chasing fast and repeatable features
* Joint Orientation of Epipoles
* Large-Scale Discovery of Spatially Related Images
* Learning a Fine Vocabulary
* Learning Vocabularies over a Fine Quantization
* Local affine frames for wide-baseline stereo
* Local Orthogonal-Group Testing
* Locally Optimized RANSAC
* Lost in quantization: Improving particular object retrieval in large scale image databases
* Low Dimensional Explicit Feature Maps
* Matching with PROSAC: Progressive Sample Consensus
* Near Duplicate Image Detection: min-Hash and tf-idf Weighting
* Negative Evidences and Co-occurences in Image Retrieval: The Benefit of PCA and Whitening
* Object retrieval with large vocabularies and fast spatial matching
* Optimal Randomized RANSAC
* Optimizing explicit feature maps on intervals
* Planar Affine Rectification from Change of Scale
* Randomized RANSAC with Sequential Probability Ratio Test
* Randomized RANSAC with T(d,d) test
* Randomized RANSAC with Td,d test
* Rectification, and Segmentation of Coplanar Repeated Patterns
* Relevance Assessment for Visual Video Re-ranking
* Robust Data Whitening as an Iteratively Re-weighted Least Squares Problem
* Robust Wide Baseline Stereo from Maximally Stable Extremal Regions
* Scalable near identical image and shot detection
* Total recall II: Query expansion revisited
* Total Recall: Automatic Query Expansion with a Generative Feature Model for Object Retrieval
* Towards Complete Free-Form Reconstruction of Complex 3D Scenes from an Unordered Set of Uncalibrated Images
* Towards visual words to words
* Two-View Geometry Estimation Unaffected by a Dominant Plane
* Unsupervised discovery of co-occurrence in sparse high dimensional data
* Unsupervised Object Discovery for Instance Recognition
* USAC: A Universal Framework for Random Sample Consensus
Includes: Chum, O. Chum, O.[Ondrej]
57 for Chum, O.

Chuman, T.[Tatsuya] Co Author Listing * On the Security of Block Scrambling-Based EtC Systems against Extended Jigsaw Puzzle Solver Attacks

Chumchob, N. Co Author Listing * Vectorial Total Variation-Based Regularization for Variational Image Registration

Chumerin, N. Co Author Listing * Driving School System: Learning Basic Driving Skills From a Teacher in a Real Car, The

Index for "c"


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