The proceedings contain 626 papers. The topics discussed include: learning to match aerial images with deep attentive architectures; learnt quasi-transitive similarity for retrieval from large collections of faces; un...
ISBN:
(纸本)9781467388511
The proceedings contain 626 papers. The topics discussed include: learning to match aerial images with deep attentive architectures; learnt quasi-transitive similarity for retrieval from large collections of faces; unsupervised learning from narrated instruction videos; action recognition in video using sparse coding and relative features; recognizing emotions from abstract paintings using non-linear matrix completion; rolling shutter absolute pose problem with known vertical direction; memory efficient max flow for multi-label submodular MRFs; recovering the missing link: predicting class-attribute associations for unsupervised zero-shot learning; neural module networks; multi-cue zero-shot learning with strong supervision; social LSTM: human trajectory prediction in crowded spaces; NetVLAD: CNN architecture for weakly supervised place recognition; 3D semantic parsing of large-scale indoor spaces; efficient indexing of billion-scale datasets of deep descriptors; analyzing classifiers: Fisher vectors and deep neural networks; and GIFT: a real-time and scalable 3d shape search engine.
The proceedings contain 2072 papers. The topics discussed include: clipped hyperbolic classifiers are super-hyperbolic classifiers;efficient deep embedded subspace clustering;noise is also useful: negative correlation...
ISBN:
(纸本)9781665469463
The proceedings contain 2072 papers. The topics discussed include: clipped hyperbolic classifiers are super-hyperbolic classifiers;efficient deep embedded subspace clustering;noise is also useful: negative correlation-steered latent contrastive learning;active learning for open-set annotation;understanding and increasing efficiency of Frank-Wolfe adversarial training;robust optimization as data augmentation for large-scale graphs;a re-balancing strategy for class-imbalanced classification based on instance difficulty;the devil is in the margin: margin-based label smoothing for network calibration;towards better plasticity-stability trade-off in incremental learning: a simple linear connector;learning Bayesian sparse networks with full experience replay for continual learning;a variational Bayesian method for similarity learning in non-rigid image registration;learning to learn by jointly optimizing neural architecture and weights;learning to prompt for continual learning;multi-frame self-supervised depth with transformers;and rethinking Bayesian deep learning methods for semi-supervised volumetric medical image segmentation.
The proceedings contain 466 papers. The topics discussed include: shape, albedo, and illumination from a single image of an unknown object;robust photometric stereo using sparse regression;2.5D building modeling by di...
ISBN:
(纸本)9781467312264
The proceedings contain 466 papers. The topics discussed include: shape, albedo, and illumination from a single image of an unknown object;robust photometric stereo using sparse regression;2.5D building modeling by discovering global regularities;angular domain reconstruction of dynamic 3D fluid surfaces;example-based 3D object reconstruction from line drawings;robust stereo with flash and no-flash image pairs;progressive graph matching: making a move of graphs via probabilistic voting;affine-invariant, elastic shape analysis of planar contours;jigsaw puzzles with pieces of unknown orientation;accidental pinhole and pinspeck cameras: revealing the scene outside the picture;decomposing global light transport using time of flight imaging;from pixels to physics: probabilistic color de-rendering;the shape Boltzmann machine: a strong model of object shape;discrete texture traces: topological representation of geometric context;and cross-based local multipoint filtering.
This paper reviews state-of-the-art methods for UAV navigation in GNSS-denied environments, focusing on map-based spatial matching and vision-based techniques. It identifies trends and challenges in current appro...
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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.
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