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
* Dark Side Augmentation: Generating Diverse Night Examples for Metric Learning
* Deep Shape Matching
* Edge Augmentation for Large-Scale Sketch Recognition without Sketches
* 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
* Explicit Spatial Encoding for Deep Local Descriptors
* Fast computation of min-Hash signatures for image collections
* Fast Spectral Ranking for Similarity Search
* Fine-Tuning CNN Image Retrieval with No Human Annotation
* 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
* Graph Convolutional Networks for Learning with Few Clean and Many Noisy Labels
* Graph-based particular object discovery
* Homography estimation from correspondences of local elliptical features
* Hybrid Diffusion: Spectral-Temporal Graph Filtering for Manifold Ranking
* Image Matching and Retrieval by Repetitive Patterns
* In the Saddle: Chasing fast and repeatable features
* Joint Orientation of Epipoles
* Label Propagation for Deep Semi-Supervised Learning
* Large-Scale Discovery of Spatially Related Images
* Learning a Fine Vocabulary
* Learning and Aggregating Deep Local Descriptors for Instance-Level Recognition
* Learning Vocabularies over a Fine Quantization
* Local affine frames for wide-baseline stereo
* Local Features and Visual Words Emerge in Activations
* 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
* Minimal Solvers for Rectifying From Radially-Distorted Conjugate Translations
* Minimal Solvers for Rectifying from Radially-Distorted Scales and Change of Scales
* Mining on Manifolds: Metric Learning Without Labels
* Near Duplicate Image Detection: min-Hash and tf-idf Weighting
* Negative Evidences and Co-occurences in Image Retrieval: The Benefit of PCA and Whitening
* No Fear of the Dark: Image Retrieval Under Varying Illumination Conditions
* Object retrieval with large vocabularies and fast spatial matching
* Object-Guided Day-Night Visual localization in Urban Scenes
* Optimal Randomized RANSAC
* Optimizing explicit feature maps on intervals
* Planar Affine Rectification from Change of Scale
* Radially-Distorted Conjugate Translations
* Randomized RANSAC with Sequential Probability Ratio Test
* Randomized RANSAC with T(d,d) test
* Randomized RANSAC with Td,d test
* Rectification from Radially-Distorted Scales
* Rectification, and Segmentation of Coplanar Repeated Patterns
* Relevance Assessment for Visual Video Re-ranking
* Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking
* Robust Data Whitening as an Iteratively Re-weighted Least Squares Problem
* Robust Wide Baseline Stereo from Maximally Stable Extremal Regions
* Saddle: Fast and repeatable features with good coverage
* Scalable near identical image and shot detection
* Targeted Mismatch Adversarial Attack: Query With a Flower to Retrieve the Tower
* 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 Universal Image Embeddings: A Large-Scale Dataset and Challenge for Generic Image Representations
* Towards visual words to words
* Two-View Geometry Estimation Unaffected by a Dominant Plane
* Understanding and Improving Kernel Local Descriptors
* 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]
80 for Chum, O.
Chumachenko, K.[Kateryna]
Co Author Listing * Incremental Fast Subclass Discriminant Analysis
* Self-attention fusion for audiovisual emotion recognition with incomplete data
* Speed-up and multi-view extensions to subclass discriminant analysis
Chumakov, M.P.[Michael P.]
Co Author Listing * Analysis of the effect of ageing, age, and other factors on iris recognition performance using NEXUS scores dataset
Chuman, T.[Tatsuya]
Co Author Listing * Image Manipulation Specifications on Social Networking Services for Encryption-then-Compression Systems
* On the Security of Block Scrambling-Based EtC Systems against Extended Jigsaw Puzzle Solver Attacks
Chumbley, L.[Lachlan]
Co Author Listing * Integrating High-Resolution Tactile Sensing into Grasp Stability Prediction
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
* Identifying Wrongly Predicted Samples: A Method for Active Learning
* Road Anomaly Detection by Partial Image Reconstruction with Segmentation Coupling
Includes: Chumerin, N. Chumerin, N.[Nikolay]