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 132 papers. The topics discussed include: groupwise morphometric analysis based on morphological appearance manifold;GPU-accelerated, gradient-free MI deformable registration for atlas-based MR...
ISBN:
(纸本)9781424439911
The proceedings contain 132 papers. The topics discussed include: groupwise morphometric analysis based on morphological appearance manifold;GPU-accelerated, gradient-free MI deformable registration for atlas-based MR brain image segmentation;3D stochastic completion fields for fiber tractography;robust estimation of stem cell lineages using local graph matching;tunable tensor voting improves grouping of membrane-bound macromolecules;distance guided selection of the best base classifier in an ensemble with application to cervigram image segmentation;deformable tree models for 2D and 3D branching structures extraction;accurate estimation of pulmonary nodule's growth rate in CT images with nonrigid registration and precise nodule detection and segmentation;3D segmentation of rodent brains using deformable models and variational methods;automatic symmetry-integrated brain injury detection in MRI sequences;bicycle chain shape models;and automatic estimation of left ventricular dysfunction from echocardiogram videos.
The proceedings contain 2356 papers. The topics discussed include: exploring discontinuity for video frame interpolation;two-view geometry scoring without correspondences;language-guided audio-visual source separation...
ISBN:
(纸本)9798350301298
The proceedings contain 2356 papers. The topics discussed include: exploring discontinuity for video frame interpolation;two-view geometry scoring without correspondences;language-guided audio-visual source separation via trimodal consistency;handwritten text generation from visual archetypes;Bayesian posterior approximation with stochastic ensembles;ERM-KTP: knowledge-level machine unlearning via knowledge transfer;PlenVDB: memory efficient VDB-based radiance fields for fast training and rendering;learning and aggregating lane graphs for urban automated driving;teaching matters: investigating the role of supervision in vision transformers;NeuralField-LDM: scene generation with hierarchical latent diffusion models;cut and learn for unsupervised object detection and instance segmentation;probabilistic debiasing of scene graphs;and unifying layout generation with a decoupled diffusion model.
The proceedings contain 461 papers. The topics discussed include: object-graphs for context-aware category discovery;modeling mutual context of object and human pose in human-object interaction activities;the chains m...
ISBN:
(纸本)9781424469840
The proceedings contain 461 papers. The topics discussed include: object-graphs for context-aware category discovery;modeling mutual context of object and human pose in human-object interaction activities;the chains model for detecting parts by their context;detecting and sketching the common;high performance object detection by collaborative learning of joint ranking of granule features;toward coherent object detection and scene layout understanding;fast globally optimal 2D human detection with loopy graph models;theory of phase-sensitive rotation invariance with spherical harmonic and moment-based representations;multi-class object localization by combining local contextual interactions;exploiting hierarchical context on a large database of object categories;learning appearance in virtual scenarios for pedestrian detection;a new texture descriptor using multifractal analysis in multi-orientation wavelet pyramid;and learning from interpolated images using neural networks for digital forensics.
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