The proceedings contain 114 papers. The topics discussed include: a multiview joint sparse representation with discriminative dictionary for melanoma detection;a new building mask using the gradient of heights for aut...
ISBN:
(纸本)9781509028962
The proceedings contain 114 papers. The topics discussed include: a multiview joint sparse representation with discriminative dictionary for melanoma detection;a new building mask using the gradient of heights for automatic building extraction;a novel graph-based segmentation method for breast ultrasound images;a novel online bayes classifier;a novel region-based method for moving shadow detection;a quantitative analysis of tilt in the cafe wall illusion: a bioplausible model for foveal and peripheral vision;a robust watermarking scheme against frame blending, projection and content adaptation attacks;and a simple parallel EM algorithm for statistical learning via mixture models.
The proceedings contain 100 papers. The topics discussed include: light field resolution enhancement framework;retinal image registration with Haar-optimized local binary descriptors for bifurcation points;an automati...
ISBN:
(纸本)9798350379037
The proceedings contain 100 papers. The topics discussed include: light field resolution enhancement framework;retinal image registration with Haar-optimized local binary descriptors for bifurcation points;an automatically annotated spacecraft intelligent perception dataset based on segment anything model;locally-focused face representation for sketch-to-image generation using noise-induced refinement;unified framework for histopathology image augmentation and classification via generative models;a fully automated system for localization and classification of foot bones in X-rays;multi-phase and hierarchical unsupervised learning framework for glioblastoma sub-region segmentation in MRI sequences;and hierarchical active learning for efficient semi-supervised seagrass image classification.
The proceedings contain 75 papers. The topics discussed include: DeepCornerNet: a deep learning approach for automated corner grading in trading cards;assembling extra features with grouped pointwise convolutions for ...
ISBN:
(纸本)9798350382204
The proceedings contain 75 papers. The topics discussed include: DeepCornerNet: a deep learning approach for automated corner grading in trading cards;assembling extra features with grouped pointwise convolutions for MobileNets;automatic detection of sugarcane billet nodes and eyes using machine vision;feature correlation aggregation: on the path to better graph neural networks;a feature enhanced scale-adaptive convolutional network for ship detection in maritime surveillance;rice leaf disease detection and classification using shallow trained YOLOV7 active deep learning approach;semantic segmentation for improved cell nuclei analysis;self-supervised defocus map estimation and auxiliary image deblurring given a single defocused image;and ball detection for a lightweight mobile platform.
The proceedings contain 84 papers. The topics discussed include: disentangling convolutional neural network towards an explainable vehicle classifier;detecting microatolls from drone images;multi-object tracking with ...
ISBN:
(纸本)9781665456425
The proceedings contain 84 papers. The topics discussed include: disentangling convolutional neural network towards an explainable vehicle classifier;detecting microatolls from drone images;multi-object tracking with multiple cues and switcher-aware classification;multi-object tracking with multiple cues and switcher-aware classification;spatial transformer networks for curriculum learning;learning deeply domain-invariant features for action recognition around the clock;unsupervised deep learning for online foreground segmentation exploiting low-rank and sparse priors;machine vision approach for slipper lobster weight estimation;adversarial attacks against a satellite-borne multispectral cloud detector;feature similarity and its correlation with accuracy in knowledge distillation;feature extractor based on class specific hidden neuron activations for image classification;and a three-stage self-supervised deep learning network for automatic calcium scoring of cardiac computed tomography images.
While querying of structured geo-spatial data such as Google Maps has become commonplace, there remains a wealth of unstructured information in overhead imagery that is largely inaccessible to users. This information ...
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The proceedings contain 83 papers. The topics discussed include: multi-stratification feature selection for diagnostic analysis of Alzheimer’s disease;view synthesis with multi-scale cost aggregation and confidence p...
ISBN:
(纸本)9781665417099
The proceedings contain 83 papers. The topics discussed include: multi-stratification feature selection for diagnostic analysis of Alzheimer’s disease;view synthesis with multi-scale cost aggregation and confidence prior;edge aware commonality modeling based reference frame for 360 degree video coding;high definition LiDAR mapping of Perth CBD;self-supervision, remote sensing and abstraction: representation learning across 3 million locations;extraction of forest power lines from LiDAR point cloud data;IoT-based plant health analysis using optical sensors in precision agriculture;GuideNet: learning inter-vertebral guides in DXA lateral spine images;and automatic pruning for quantized neural networks.
While querying of structured geo-spatial data such as Google Maps has become commonplace, there remains a wealth of unstructured information in overhead imagery that is largely inaccessible to users. This information ...
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While querying of structured geo-spatial data such as Google Maps has become commonplace, there remains a wealth of unstructured information in overhead imagery that is largely inaccessible to users. This information can be made accessible using machine learning for Visual Question Answering (VQA) about remote sensing imagery. We propose a novel method for Earth observation based on answering natural language questions about satellite images that uses cross-modal attention between image objects and text. The image is encoded with an object-centric feature space, with self-attention between objects, and the question is encoded with a language transformer network. The image and question representations are fed to a cross-modal transformer network that uses cross-attention between the image and text modalities to generate the answer. Our method is applied to the RSVQA remote sensing dataset and achieves a significant accuracy increase over the previous benchmark.
The proceedings contain 117 papers. The topics discussed include: training region selector for gram stained slides with limited data: a data distillation approach;hyperspectral image segmentation of retinal vasculatur...
ISBN:
(纸本)9781538666029
The proceedings contain 117 papers. The topics discussed include: training region selector for gram stained slides with limited data: a data distillation approach;hyperspectral image segmentation of retinal vasculature, optic disc and macula;classification of white blood cells using bispectral invariant features of nuclei shape;drivers performance evaluation using physiological measurement in a driving simulator;bone age assessment based on two-stage deep neural networks;memory and time efficient 3D neuron morphology tracing in large-scale images;left ventricle volume measuring using echocardiography sequences;active contours based on an anisotropic diffusion;circular shape prior in efficient graph based image segmentation to segment nucleus;generative adversarial framework for learning multiple clinical tasks;and online relational manifold learning for multiview segmentation in echocardiography.
We introduce CAMVOS (Context-Aware Memory Video Object Segmentation), a novel method designed to enhance video object segmentation by leveraging contextual information, long-range dependency and memory-efficient techn...
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Light field (LF) imaging captures both angular and spatial light distributions, enabling advanced photographic techniques. However, micro-lens array (MLA)-based cameras face a spatial-angular resolution tradeoff due t...
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