The proceedings contain 525 papers. The topics discussed include: learning visual similarity measures for comparing never seen objects;a contextual dissimilarity measure for accurate and efficient image search;learnin...
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ISBN:
(纸本)1424411807
The proceedings contain 525 papers. The topics discussed include: learning visual similarity measures for comparing never seen objects;a contextual dissimilarity measure for accurate and efficient image search;learning local image descriptors;principal curvature-based region detector for object recognition;a benchmark for the comparison of 3-D motion segmentation algorithms;a nonparametric treatment for location/segmentation based visual tracking;learning gaussian conditional random fields for low-level vision;hierarchical structuring of data on manifolds;learning GMRF structures for spatial priors;element rearrangement for tensor-based subspace learning;unsupervised clustering using multi-resolution perceptual grouping;object tracking by asymmetric kernel mean shift with automatic scale and orientation selection;and free-form nonrigid image registration using generalized elastic nets.
The proceedings contain 506 papers. The topics discussed include: face shape recovery from a single image using CCA mapping between tensor spaces;classifiability-based optimal discriminatory projection pursuit;blindly...
ISBN:
(纸本)9781424422432
The proceedings contain 506 papers. The topics discussed include: face shape recovery from a single image using CCA mapping between tensor spaces;classifiability-based optimal discriminatory projection pursuit;blindly separating mixtures of multiple layers with spatial shifts;structure-perceptron learning of a hierarchical log-linear model;unsupervised learning of probabilistic object models (POMs) for object classification, segmentation and recognition;classification via semi-Riemannian spaces;mining compositional features for boosting;context-aware clustering;locally adaptive learning for translation-variant MRF image priors;semi-supervised SVM batch mode active learning for image retrieval;semi-supervised distance metric learning for collaborative image retrieval;multiple-instance ranking: learning to rank images for image retrieval;correlational spectral clustering;and a parallel decomposition solver for SVM: distributed dual ascend using fenchel duality.
The proceedings contain 162 papers. The topics discussed include: model-based validation approaches and matching techniques for automotive vision based pedestrian detection;3D face recognition using mapped depth image...
ISBN:
(纸本)0769526608
The proceedings contain 162 papers. The topics discussed include: model-based validation approaches and matching techniques for automotive vision based pedestrian detection;3D face recognition using mapped depth images;a combinational approach to the fusion, de-noising and enhancement of dual-energy x-ray luggage images;multiperspective thermal IR and video arrays for 3D body tracking and driver activity analysis;tracking humans using multi-modal fusion;improved likelihood function in particle-based IR eye tracking;spaceborne traffic monitoring with dual channel synthetic aperture radar – theory and experiments;comparative image fusion analysis;performance evaluation of face recognition using visual and thermal imagery with advanced correlation filters;and integrating LDV audio and ir video for remote multimodal surveillance.
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 2715 papers. The topics discussed include: revisiting adversarial training at scale;SPIDeRS: structured polarization for invisible depth and reflectance sensing;MA-LMM: memory-augmented large m...
ISBN:
(纸本)9798350353006
The proceedings contain 2715 papers. The topics discussed include: revisiting adversarial training at scale;SPIDeRS: structured polarization for invisible depth and reflectance sensing;MA-LMM: memory-augmented large multimodal model for long-term video understanding;geometrically-driven aggregation for zero-shot 3D point cloud understanding;TextCraftor: your text encoder can be image quality controller;ViLa-MIL: dual-scale vision-language multiple instance learning for whole slide image classification;HumanNorm: learning normal diffusion model for high-quality and realistic 3D human generation;AnEmpirical study of scaling law for scene text recognition;improving image restoration through removing degradations in textual representations;and steganographic passport: an owner and user verifiable credential for deep model ip protection without retraining.
The proceedings contain 1658 papers. The topics discussed include: single-stage instance shadow detection with bidirectional relation learning;learning Delaunay surface elements for mesh reconstruction;fusing the old ...
ISBN:
(纸本)9781665445092
The proceedings contain 1658 papers. The topics discussed include: single-stage instance shadow detection with bidirectional relation learning;learning Delaunay surface elements for mesh reconstruction;fusing the old with the new: learning relative camera pose with geometry-guided uncertainty;uncertainty guided collaborative training for weakly supervised temporal action detection;privacy-preserving collaborative learning with automatic transformation search;rethinking and improving the robustness of image style transfer;style-aware normalized loss for improving arbitrary style transfer;faster meta update strategy for noise-robust deep learning;a hyperbolic-to-hyperbolic graph convolutional network;training networks in null space of feature covariance for continual learning;and exponential moving average normalization for self-supervised and semi-supervised learning.
The proceedings contain 1294 papers. The topics discussed include: finding task-relevant features for few-shot learning by category traversal;edge-labeling graph neural network for few-shot learning;generating classif...
ISBN:
(纸本)9781728132938
The proceedings contain 1294 papers. The topics discussed include: finding task-relevant features for few-shot learning by category traversal;edge-labeling graph neural network for few-shot learning;generating classification weights with GNN denoising autoencoders for few-shot learning;kervolutional neural networks;why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem;on the structural sensitivity of deep convolutional networks to the directions of fourier basis functions;hardness-aware deep metric learning;auto-deeplab: hierarchical neural architecture search for semantic image segmentation;striking the right balance with uncertainty;and SDRSAC: semidefinite-based randomized approach for robust point cloud registration without correspondences.
The proceedings contain 437 papers. The topics discussed include: efficient marginal likelihood optimization in blind deconvolution;natural image denoising: optimality and inherent bounds;a Sobolev-type metric for pol...
ISBN:
(纸本)9781457703942
The proceedings contain 437 papers. The topics discussed include: efficient marginal likelihood optimization in blind deconvolution;natural image denoising: optimality and inherent bounds;a Sobolev-type metric for polar active contours;multi-target tracking by continuous energy minimization;towards cross-category knowledge propagation for learning visual concepts;are sparse representations really relevant for image classification?;smoothly varying affine stitching;noise resistant graph ranking for improved web image search;real-time human pose recognition in parts from single depth images;online domain adaptation of a pre-trained cascade of classifiers;learning effective human pose estimation from inaccurate annotation;shape grammar parsing via reinforcement learning;parameter learning with truncated message-passing;and structured light 3D scanning in the presence of global illumination.
The proceedings contain 151 papers. The topics discussed include: clustering appearance for scene analysis;fast compact city modeling for navigation pre-visualization;fusion of summation invariants in 3D human face re...
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ISBN:
(纸本)0769525970
The proceedings contain 151 papers. The topics discussed include: clustering appearance for scene analysis;fast compact city modeling for navigation pre-visualization;fusion of summation invariants in 3D human face recognition;deformation modeling for robust 3D face matching;locally linear models on face appearance manifolds with application to dual-subspace based classification;learning examplar-based categorization for the detection of multi-view multi-pose objects;aligning ASL for statistical translation using discriminative word model;a graph based approach for naming faces in news photos;fast human detection using a cascade of histograms of oriented gradients;real-time-hand pose recognition using low resolution depth images;automatic cast listing in feature-length films with anisotropic manifold space;and body localization in still images using hierarchical models and hybrid search.
The proceedings contain 159 papers. The topics discussed include: geometric image primitives by complex moments in Gabor space and the application to texture segmentation;geometric primitive extraction using a genetic...
ISBN:
(纸本)0818628553
The proceedings contain 159 papers. The topics discussed include: geometric image primitives by complex moments in Gabor space and the application to texture segmentation;geometric primitive extraction using a genetic algorithm;model based region segmentation using co-occurrence matrices;morphological grayscale reconstruction: definition, efficient algorithm and applications in image analysis;edge detection in range images through morphological residue analysis;morphological decomposition of restricted domains: a vector space solution;spatial reasoning based on multivariate belief functions;analysis of the least median of squares estimator for computervision applications;and image segmentation via edge contour finding: a graph theoretic approach.
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