The proceedings contains 138 papers from the 2004 ieeecomputer Society conference on computervision and patternrecognition, cvpr 2004-Volume 2. The topics discussed include: feature-centric evaluation for efficient...
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The proceedings contains 138 papers from the 2004 ieeecomputer Society conference on computervision and patternrecognition, cvpr 2004-Volume 2. The topics discussed include: feature-centric evaluation for efficient cascaded object detection;learning methods for generic object recognition and invariance to pose and lighting;searching the web with mobile images for location recognition;controlled modulation imaging;automatic cascade training with perturbation bias;tracking multiple humans in crowded environment;and bayesian face recognition using support vector machine and face clustering.
The following topics are dealt with: stereovision;vision applications;segmentation and interpolation of three-dimensional surfaces;edge-finding by image filtering;hardware systems for shape;character and word recognit...
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ISBN:
(纸本)0818607211
The following topics are dealt with: stereovision;vision applications;segmentation and interpolation of three-dimensional surfaces;edge-finding by image filtering;hardware systems for shape;character and word recognition;structure from motion;multiple scales and sensor integration;image representation and processing;parallel visual algorithms;segmentation of images;industrial vision systems;textures;visual motion;image coding and processing;edge detection;and shape from texture. 110 papers were presented, all of which are published in full in the present proceedings. Abstracts of individual papers can be found under the relevant classification codes in this or other issues.
The proceedings contain 2 papers. The topics discussed include: attention mechanism exploits temporal contexts: real-time 3D human pose reconstruction;and cascaded deep monocular 3D human pose estimation with evolutio...
ISBN:
(纸本)9781728171685
The proceedings contain 2 papers. The topics discussed include: attention mechanism exploits temporal contexts: real-time 3D human pose reconstruction;and cascaded deep monocular 3D human pose estimation with evolutionary training data.
The proceedings contain 353 papers. The topics discussed include: random subwindows for robust image classification;Bayesian object detection in dynamic scenes;pixels that sound;a rational function lens distortion mod...
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ISBN:
(纸本)0769523722
The proceedings contain 353 papers. The topics discussed include: random subwindows for robust image classification;Bayesian object detection in dynamic scenes;pixels that sound;a rational function lens distortion model for general cameras;robust boosting for learning from few examples;optimization design of cascaded classifiers;pruning training sets for learning of object categories;computervision for music identification;restoration and recognition in a loop;robust face detection with multi-class boosting;learning with constrained and unlabelled data;real-time non-rigid surface detection;evaluating image retrieval;towards complete generic camera calibration;and unsupervised learning of object features from video sequences.
The proceedings contain 353 papers. The topics discussed include: random subwindows for robust image classification;Bayesian object detection in dynamic scenes;pixels that sound;a rational function lens distortion mod...
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ISBN:
(纸本)0769523722
The proceedings contain 353 papers. The topics discussed include: random subwindows for robust image classification;Bayesian object detection in dynamic scenes;pixels that sound;a rational function lens distortion model for general cameras;robust boosting for learning from few examples;optimization design of cascaded classifiers;pruning training sets for learning of object categories;computervision for music identification;restoration and recognition in a loop;robust face detection with multi-class boosting;learning with constrained and unlabelled data;real-time non-rigid surface detection;evaluating image retrieval;towards complete generic camera calibration;and unsupervised learning of object features from video sequences.
This Volume 2 of the conference proceedings contains 95 papers. Topics discussed include robot localization and navigation, video, learning and statistical methods, vision for graphics, reflectance modeling, calibrati...
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This Volume 2 of the conference proceedings contains 95 papers. Topics discussed include robot localization and navigation, video, learning and statistical methods, vision for graphics, reflectance modeling, calibration and structure from motion, tracking, recognition, three dimensional reconstruction, fingerprint recognition and registration and alignment.
The proceedings contains 158 papers from 2001 ieeecomputer society conference on computervision and patternrecognition. The topics discussed include: image indexing, image segmentation, computervision, image codin...
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The proceedings contains 158 papers from 2001 ieeecomputer society conference on computervision and patternrecognition. The topics discussed include: image indexing, image segmentation, computervision, image coding, patternrecognition systems, image magnification, video inpainting, visual tracking, motion estimation, face recognition, imaging systems, character recognition and feature clustering.
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 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 640 papers. The topics discussed include: generation and comprehension of unambiguous object description;image question answering using convolutional neural network with dynamic parameter predi...
ISBN:
(纸本)9781467388504
The proceedings contain 640 papers. The topics discussed include: generation and comprehension of unambiguous object description;image question answering using convolutional neural network with dynamic parameter prediction;neural module networks;learning to assign orientations to feature points;affinity CNN: learning pixel-centric pairwise relations for figure/ground embedding;occlusion boundary detection via deep exploration of context;exploit bounding box annotations for multi-label object recognition;MCMC shape sampling for image segmentation with nonparametric shape priors;learning action maps of large environments via first-person vision;sample and filter: nonparametric scene parsing via efficient filtering;training region-based object detectors with online hard example mining;learning with side information through modality hallucination;HyperNet: towards accurate region proposal generation and joint object detection;macroscopic interferometry: rethinking depth estimation with frequency-domain time-of-flight;ASP vision: optically computing the first layer of convolutional neural networks using angle sensitive pixels;hierarchical recurrent neural encoder for video representation with application to captioning;and from keyframes to key objects: video summarization by representative object proposal selection.
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