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Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images
Despite the remarkable advances in visual saliency analysis for natural ...
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A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges
Uncertainty quantification (UQ) plays a pivotal role in reduction of unc...
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Single Image Super-Resolution via a Holistic Attention Network
Informative features play a crucial role in the single image super-resol...
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Adv-watermark: A Novel Watermark Perturbation for Adversarial Examples
Recent research has demonstrated that adding some imperceptible perturba...
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Efficient Adversarial Attacks for Visual Object Tracking
Visual object tracking is an important task that requires the tracker to...
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Face Super-Resolution Guided by 3D Facial Priors
State-of-the-art face super-resolution methods employ deep convolutional...
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Task-Feature Collaborative Learning with Application to Personalized Attribute Prediction
As an effective learning paradigm against insufficient training samples,...
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Fast Stochastic Ordinal Embedding with Variance Reduction and Adaptive Step Size
Learning representation from relative similarity comparisons, often call...
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iSplit LBI: Individualized Partial Ranking with Ties via Split LBI
Due to the inherent uncertainty of data, the problem of predicting parti...
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Identifying and Resisting Adversarial Videos Using Temporal Consistency
Video classification is a challenging task in computer vision. Although ...
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Learning Personalized Attribute Preference via Multi-task AUC Optimization
Traditionally, most of the existing attribute learning methods are train...
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Single Image Deraining: A Comprehensive Benchmark Analysis
We present a comprehensive study and evaluation of existing single image...
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Deep Robust Subjective Visual Property Prediction in Crowdsourcing
The problem of estimating subjective visual properties (SVP) of images (...
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Robust Ordinal Embedding from Contaminated Relative Comparisons
Existing ordinal embedding methods usually follow a two-stage routine: o...
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Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional Margin
In the absence of prior knowledge, ordinal embedding methods obtain new ...
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ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples
Deep neural networks (DNNs) have been demonstrated to be vulnerable to a...
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Transferable Adversarial Attacks for Image and Video Object Detection
Adversarial examples have been demonstrated to threaten many computer vi...
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HSCS: Hierarchical Sparsity Based Co-saliency Detection for RGBD Images
Co-saliency detection aims to discover common and salient objects in an ...
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A Margin-based MLE for Crowdsourced Partial Ranking
A preference order or ranking aggregated from pairwise comparison data i...
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Disc-aware Ensemble Network for Glaucoma Screening from Fundus Image
Glaucoma is a chronic eye disease that leads to irreversible vision loss...
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Gated Fusion Network for Single Image Dehazing
In this paper, we propose an efficient algorithm to directly restore a c...
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From Social to Individuals: a Parsimonious Path of Multi-level Models for Crowdsourced Preference Aggregation
In crowdsourced preference aggregation, it is often assumed that all the...
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Fake Colorized Image Detection
Image forensics aims to detect the manipulation of digital images. Curre...
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Joint Optic Disc and Cup Segmentation Based on Multi-label Deep Network and Polar Transformation
Glaucoma is a chronic eye disease that leads to irreversible vision loss...
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Stochastic Non-convex Ordinal Embedding with Stabilized Barzilai-Borwein Step Size
Learning representation from relative similarity comparisons, often call...
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An Iterative Co-Saliency Framework for RGBD Images
As a newly emerging and significant topic in computer vision community, ...
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Saliency Detection for Stereoscopic Images Based on Depth Confidence Analysis and Multiple Cues Fusion
Stereoscopic perception is an important part of human visual system that...
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Co-saliency Detection for RGBD Images Based on Multi-constraint Feature Matching and Cross Label Propagation
Co-saliency detection aims at extracting the common salient regions from...
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Video Deblurring via Semantic Segmentation and Pixel-Wise Non-Linear Kernel
Video deblurring is a challenging problem as the blur is complex and usu...
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Halftone Image Watermarking by Content Aware Double-sided Embedding Error Diffusion
In this paper, we carry out a performance analysis from a probabilistic ...
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Cascade one-vs-rest detection network for fine-grained recognition without part annotations
Fine-grained recognition is a challenging task due to the small intra-ca...
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CUNet: A Compact Unsupervised Network for Image Classification
In this paper, we propose a compact network called CUNet (compact unsupe...
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A Hierarchical Distributed Processing Framework for Big Image Data
This paper introduces an effective processing framework nominated ICP (I...
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False Discovery Rate Control and Statistical Quality Assessment of Annotators in Crowdsourced Ranking
With the rapid growth of crowdsourcing platforms it has become easy and ...
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Makeup like a superstar: Deep Localized Makeup Transfer Network
In this paper, we propose a novel Deep Localized Makeup Transfer Network...
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Quadratic Projection Based Feature Extraction with Its Application to Biometric Recognition
This paper presents a novel quadratic projection based feature extractio...
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Matching-CNN Meets KNN: Quasi-Parametric Human Parsing
Both parametric and non-parametric approaches have demonstrated encourag...
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