The proceedings contain 167 papers. The topics discussed include: incremental learning of object detectors using a visual shape alphabet;multiclass object recognition with sparse, localized features;unsupervised learn...
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ISBN:
(纸本)0769525970
The proceedings contain 167 papers. The topics discussed include: incremental learning of object detectors using a visual shape alphabet;multiclass object recognition with sparse, localized features;unsupervised learning of categories from sets of partially matching image features;the layout consistent random random field for recognizing and segmenting partially occluded objects;ultrasound-specific segmentation via correlation and statistical region-based active contours;principled hybrids of generative and discriminative models;a comic section classifier and its application to image datasets;learning non-metric partial similarity based on maximal margin criterion;distributed cost boosting on mis-classification cost;equivalence of non-iterative algorithms for simultaneous low rank approximations of matrices;and semi-supervised classification using liner neighborhood propagation.
The proceedings contain 126 papers. The topics discussed include: hallucinating the full face from the periocular region via dimensionally weighted K-SVD; improving 3D face details based on normal map of hetero-source...
The proceedings contain 126 papers. The topics discussed include: hallucinating the full face from the periocular region via dimensionally weighted K-SVD; improving 3D face details based on normal map of hetero-source images; globality-locality preserving projections for biometric data dimensionality reduction; robust low-rank regularized regression for face recognition with occlusion; natural vs artificial face classification using uniform local directional patterns and wavelet uniform local directional patterns; landmark based facial component reconstruction for recognition across pose; effect of pupil dilation and constriction on the distribution of bit errors; reliable posterior probability estimation for streaming face recognition; learning minutiae neighborhoods: a new binary representation for matching fingerprints; performance improvement of phase-based correspondence matching for palmprint recognition; and a robust approach for singular point extraction based on complex polynomial model.
The proceedings contain 146 papers. The topics discussed include: textured 3D face recognition using biological vision-based facial representation and optimized weighted sum fusion;a method for object localization in ...
ISBN:
(纸本)9781457705298
The proceedings contain 146 papers. The topics discussed include: textured 3D face recognition using biological vision-based facial representation and optimized weighted sum fusion;a method for object localization in a multiview multimodal camera system;real-time tracking of unconstrained full-body motion using niching swarm filtering combined with local optimization;activity related biometric authentication using spherical harmonics;joint gait-pose manifold for video-based human motion estimation;learning human behaviour patterns in work environments;an optimized silicon retina stereo matching algorithm using time-space correlation;face recognition system using extended curvature Gabor classifier bunch for low-resolution face image;analysis of patterns of motor behavior in gamers with down syndrome;dense shape correspondences using spectral high-order graph matching;and pedestrian sensing using time-of-flight range camera.
Identifying predictive covariates, which forecast individual treatment effectiveness, is crucial for decision-making across different disciplines such as personalized medicine. These covariates, referred to as biomark...
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ISBN:
(数字)9798331510831
ISBN:
(纸本)9798331510848
Identifying predictive covariates, which forecast individual treatment effectiveness, is crucial for decision-making across different disciplines such as personalized medicine. These covariates, referred to as biomarkers, are extracted from pretreatment data, often within randomized controlled trials, and should be distinguished from prognostic biomarkers, which are independent of treatment assignment. Our study focuses on discovering predictive imaging biomarkers, specific image features, by leveraging pretreatment images to uncover new causal relationships. Unlike laborintensive approaches relying on handcrafted features prone to bias, we present a novel task of directly learning predictive features from images. We propose an evaluation protocol to assess a model's ability to identify predictive imaging biomarkers and differentiate them from purely prognostic ones by employing statistical testing and a comprehensive analysis of image feature attribution. We explore the suitability of deep learning models originally developed for estimating the conditional average treatment effect (CATE) for this task, which have been assessed primarily for their precision of CATE estimation while overlooking the evaluation of imaging biomarker discovery. Our proof-of-concept analysis demonstrates the feasibility and potential of our approach in discovering and validating predictive imaging biomarkers from synthetic outcomes and real-world image datasets. Our code is available at https://***/MIC-DKFZ/predictive_image_biomarker_analysis.
The proceedings contain 471 papers. The topics discussed include: depth acquisition from density modulated binary patterns;rolling Riemannian manifolds to solve the multi-class classification problem;exploring composi...
The proceedings contain 471 papers. The topics discussed include: depth acquisition from density modulated binary patterns;rolling Riemannian manifolds to solve the multi-class classification problem;exploring compositional high order pattern potentials for structured output learning;kernel methods on the Riemannian manifold of symmetric positive definite matrices;discovering the structure of a planar mirror system from multiple observations of a single point;tensor-based human body modeling;improving the visual comprehension of point sets;detecting changes in 3D structure of a scene from multi-view images captured by a vehicle-mounted camera;templateless quasi-rigid shape modeling with implicit loop-closure;shape from silhouette probability maps: reconstruction of thin objects in the presence of silhouette extraction and calibration error;and joint geodesic upsampling of depth images.
The proceedings contain 235 papers. The topics discussed include: creating and exploring a large photorealistic virtual space;can similar scenes help surface layout estimation?;meta-tag propagation by co-training an e...
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ISBN:
(纸本)9781424423408
The proceedings contain 235 papers. The topics discussed include: creating and exploring a large photorealistic virtual space;can similar scenes help surface layout estimation?;meta-tag propagation by co-training an ensemble classifier for improving image search relevance;utility data annotation with Amazon mechanical Turk;SAVE: a framework for semantic annotation of visual events;a walk through the web's video clips;autotagging Facebook: social network context improves photo annotation;effective image database search via dimensionality reduction;scalable classifiers for Internet vision tasks;computing iconic summaries of general visual concepts;Internet video category recognition;super-resolution texturing for online virtual globes;orientation distribution estimation for q-ball imaging;variational registration of tensor-valued images;and a methodology for quality assessment in tensor images.
The proceedings contain 156 papers. The topics discussed include: real-time mobile food recognition system;style finder: fine-grained clothing style detection and retrieval;stereo camera tracking for mobile devices;to...
ISBN:
(纸本)9780769549903
The proceedings contain 156 papers. The topics discussed include: real-time mobile food recognition system;style finder: fine-grained clothing style detection and retrieval;stereo camera tracking for mobile devices;towards auto-calibration of smart phones using orientation sensors;detection of moving objects with non-stationary cameras in 5.8ms: bringing motion detection to your mobile device;mobile video capture of multi-page documents;collision detection for visually impaired from a body-mounted camera;video demo: an egocentric vision based assistive co-robot;mobile exergames - burn calories while playing games on a smartphone;a mobile vision system for fast and accurate ellipse detection;stabilization of magnified videos on a mobile device for visually impaired;and an augmented linear discriminant analysis approach for identifying identical twins with the aid of facial asymmetry features.
The proceedings contain 377 papers. The topics discussed include: curvature and singularity driven diffusion for oriented pattern enhancement with singular points;dual distributions of multilinear geometric entities;c...
ISBN:
(纸本)9781424439935
The proceedings contain 377 papers. The topics discussed include: curvature and singularity driven diffusion for oriented pattern enhancement with singular points;dual distributions of multilinear geometric entities;classification of tensors and fiber tracts using mercer-kernels encoding soft probabilistic spatial and diffusion information;visual tracking via geometric particle filtering on the affine group with optimal importance functions;Markov chain Monte Carlo combined with deterministic methods for Markov random field optimization;a family of contextual measures of similarity between distributions with application to image retrieval;shape of Gaussians as feature descriptors;mutual information-based stereo matching combined with SIFT descriptor in log-chromaticity color space;nonparametric discriminant HMM and application to facial expression recognition;dimension-free affine shape matching through subspace invariance;histogram-based interest point detectors;and dense saliency-based spatiotemporal feature points for action recognition.
The proceedings contain 186 papers. The topics discussed include: towards recovery of 3D chromosome structure;object-based visual 3D tracking of articulated objects via kinematic sets;non-rigid motion estimation and s...
The proceedings contain 186 papers. The topics discussed include: towards recovery of 3D chromosome structure;object-based visual 3D tracking of articulated objects via kinematic sets;non-rigid motion estimation and spatio-temporal realignment in FMRI;stochastic meta-descent for tracking articulated structures;gender recognition from walking movements using adaptive three-mode PCA;differential structure in non-linear image embedding functions;semantic-level understanding of human actions and interactions using event hierarchy;fusion of a multiple hypotheses color model and deformable contours for figure ground segmentation in dynamic environments;outlier rejection in deformable model tracking;spline-based motion recovery for 3D surfaces using nonrigid shape properties;and constraints for heterogeneous sensor auto-calibration.
The proceedings contain 539 papers. The topics discussed include: fast and accurate image matching with cascade hashing for 3D reconstruction;minimal solvers for relative pose with a single unknown radial distortion;s...
ISBN:
(纸本)9781479951178
The proceedings contain 539 papers. The topics discussed include: fast and accurate image matching with cascade hashing for 3D reconstruction;minimal solvers for relative pose with a single unknown radial distortion;spectral graph reduction for efficient image and streaming video segmentation;video motion segmentation using new adaptive manifold denoising model;event detection using multi-level relevance labels and multiple features;full-angle quaternions for robustly matching vectors of 3D rotations;semi-supervised spectral clustering for image set classification;learning mid-level filters for person re-identification;DeepReID: deep filter pairing neural network for person re-identification;NMF-KNN: image annotation using weighted multi-view non-negative matrix factorization;beyond comparing image pairs: setwise active learning for relative attributes;and histograms of pattern sets for image classification and object recognition.
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