This conference proceedings contains 147 papers. The following topic are dealt with: object recognition;stereo and surface reconstruction;calibration;motion;low level vision--edge detection;optical flow;non-rigid moti...
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ISBN:
(纸本)0818621486
This conference proceedings contains 147 papers. The following topic are dealt with: object recognition;stereo and surface reconstruction;calibration;motion;low level vision--edge detection;optical flow;non-rigid motion;texture;active vision and perceptual grouping;patternrecognition and segmentation;architecture and algorithms;shape from shading;pose estimation and face recognition;depth.
The proceedings contains 120 papers from the 2004 ieeecomputer Society conference on computervision And patternrecognition: CVPR 2004 - Volume I. The topics discussed include: restoration of curved document images ...
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The proceedings contains 120 papers from the 2004 ieeecomputer Society conference on computervision And patternrecognition: CVPR 2004 - Volume I. The topics discussed include: restoration of curved document images through 3D shape modeling;fast wide baseline matching for visual hull;shedding light on stereoscopic segmentation;window-based, discontinuity preserving stereo;space-time video completion and tracking loose-limbed people.
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 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 proceedings contains 172 papers from the 1997 ieeecomputervision and patternrecognition. Topics discussed include: horopter geometry;camera vergence;distance transformations;object tracking;arc matching and boo...
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The proceedings contains 172 papers from the 1997 ieeecomputervision and patternrecognition. Topics discussed include: horopter geometry;camera vergence;distance transformations;object tracking;arc matching and bootstrapping algorithms;signature recognition;image homography;Gabor transforms;ray based representations;projective cameras;three dimensional affine reconstruction;active contours;digital film restoration;self-inflation/deflation forces;augmented reality;reconstructed panoramic images;camera focal length;line detection;face detection;Lambertian surfaces;binary features;and pedestrian detection.
The proceedings contains 115 papers from the 2001 ieeecomputer Society conference on computervision and patternrecognition. Topics discussed include: robot homing based on corner tracking;illumination subspace for ...
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The proceedings contains 115 papers from the 2001 ieeecomputer Society conference on computervision and patternrecognition. Topics discussed include: robot homing based on corner tracking;illumination subspace for multibody motion segmentation;feature reduction and hierarchy of classifiers for fast object detection in video images;construction-models for content-based image retrieval;anti-sequences: event detection by frame stacking;event-based analysis of video;on focal length calibration from two views;a bayesian approach to digital matting;image registration by aligning entropies;a self-correcting projector;and image-based detail transfer.
We propose Spatially-Aware open-set Network Dissection (SAND), a technique to identify and label the learned representation of the neurons of deep vision networks. Con-trary to earlier open-vocabulary neuron explanati...
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ISBN:
(数字)9798331510831
ISBN:
(纸本)9798331510848
We propose Spatially-Aware open-set Network Dissection (SAND), a technique to identify and label the learned representation of the neurons of deep vision networks. Con-trary to earlier open-vocabulary neuron explanation meth-ods, we also leverage a neuron's spatial pattern of activation to guide our predictions towards more accurate and rel-evant concepts, while avoiding being misled by confounding visual information. We highlight important regions for a neuron through image masking, which has the advantage of being able to block out irrelevant concepts from an im-age, handling irregularly shaped activation regions, and re-vealing the visual concepts that a neuron learns in order to identify objects. We use CLIP to connect highly activating image regions with descriptive concepts, and measure the quality of our results through human evaluation. Further, since such manual evaluation can be highly time consuming, costly, and unscalable, we also propose an automated approach which uses image generation to get quantitative feedback on the generated concepts. Finally, as an application of our interpretability method, we demonstrate how it can be tuned to the medical domain. Our code is available at https://***/Trustworthy-ML-LabISAND
The proceedings contains 97 papers. The following topics are dealt with: edge detection;shape derivation;feature extraction;motion;morphology and neural networks;range data;image and texture segmentation;polarization ...
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ISBN:
(纸本)081861952x
The proceedings contains 97 papers. The following topics are dealt with: edge detection;shape derivation;feature extraction;motion;morphology and neural networks;range data;image and texture segmentation;polarization cues;stereo vision;methodology and standards;object recognition;navigation;preprocessing and computer architectures.
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.
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