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Spatial Context-Aware Self-Attention Model For Multi-Organ Segmentation
Multi-organ segmentation is one of most successful applications of deep ...
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Refactoring Policy for Compositional Generalizability using Self-Supervised Object Proposals
We study how to learn a policy with compositional generalizability. We p...
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Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous Graph Neural Networks
Current graph neural networks (GNNs) lack generalizability with respect ...
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Dual Attention GANs for Semantic Image Synthesis
In this paper, we focus on the semantic image synthesis task that aims a...
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Audio-Visual Event Localization via Recursive Fusion by Joint Co-Attention
The major challenge in audio-visual event localization task lies in how ...
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DF-GAN: Deep Fusion Generative Adversarial Networks for Text-to-Image Synthesis
Synthesizing high-resolution realistic images from text descriptions is ...
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Bipartite Graph Reasoning GANs for Person Image Generation
We present a novel Bipartite Graph Reasoning GAN (BiGraphGAN) for the ch...
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Dual In-painting Model for Unsupervised Gaze Correction and Animation in the Wild
In this paper we address the problem of unsupervised gaze correction in ...
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Cross-View Image Synthesis with Deformable Convolution and Attention Mechanism
Learning to generate natural scenes has always been a daunting task in c...
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XingGAN for Person Image Generation
We propose a novel Generative Adversarial Network (XingGAN or CrossingGA...
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Belief Propagation Neural Networks
Learned neural solvers have successfully been used to solve combinatoria...
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When Dictionary Learning Meets Deep Learning: Deep Dictionary Learning and Coding Network for Image Recognition with Limited Data
We present a new Deep Dictionary Learning and Coding Network (DDLCN) for...
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Relevant Region Prediction for Crowd Counting
Crowd counting is a concerned and challenging task in computer vision. E...
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Vector-Quantized Autoregressive Predictive Coding
Autoregressive Predictive Coding (APC), as a self-supervised objective, ...
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Edge Guided GANs with Semantic Preserving for Semantic Image Synthesis
We propose a novel Edge guided Generative Adversarial Network (EdgeGAN) ...
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Exocentric to Egocentric Image Generation via Parallel Generative Adversarial Network
Cross-view image generation has been recently proposed to generate image...
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Audio-Visual Calibration with Polynomial Regression for 2-D Projection Using SVD-PHAT
This paper proposes a straightforward 2-D method to spatially calibrate ...
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Multi-Channel Attention Selection GANs for Guided Image-to-Image Translation
We propose a novel model named Multi-Channel Attention Selection Generat...
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AttentionAnatomy: A unified framework for whole-body organs at risk segmentation using multiple partially annotated datasets
Organs-at-risk (OAR) delineation in computed tomography (CT) is an impor...
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Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation
In this paper, we address the task of semantic-guided scene generation. ...
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Asymmetric Generative Adversarial Networks for Image-to-Image Translation
State-of-the-art models for unpaired image-to-image translation with Gen...
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Unified Generative Adversarial Networks for Controllable Image-to-Image Translation
Controllable image-to-image translation, i.e., transferring an image fro...
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AttentionGAN: Unpaired Image-to-Image Translation using Attention-Guided Generative Adversarial Networks
State-of-the-art methods in the unpaired image-to-image translation are ...
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Improving Semantic Segmentation of Aerial Images Using Patch-based Attention
The trade-off between feature representation power and spatial localizat...
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Cycle In Cycle Generative Adversarial Networks for Keypoint-Guided Image Generation
In this work, we propose a novel Cycle In Cycle Generative Adversarial N...
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NoduleNet: Decoupled False Positive Reductionfor Pulmonary Nodule Detection and Segmentation
Pulmonary nodule detection, false positive reduction and segmentation re...
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Cascade Attention Guided Residue Learning GAN for Cross-Modal Translation
Since we were babies, we intuitively develop the ability to correlate th...
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Relating Simple Sentence Representations in Deep Neural Networks and the Brain
What is the relationship between sentence representations learned by dee...
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GazeCorrection:Self-Guided Eye Manipulation in the wild using Self-Supervised Generative Adversarial Networks
Gaze correction aims to redirect the person's gaze into the camera by ma...
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Expression Conditional GAN for Facial Expression-to-Expression Translation
In this paper, we focus on the facial expression translation task and pr...
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Time-Contrastive Learning Based Deep Bottleneck Features for Text-Dependent Speaker Verification
There are a number of studies about extraction of bottleneck (BN) featur...
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Joint Learning of Self-Representation and Indicator for Multi-View Image Clustering
Multi-view subspace clustering aims to divide a set of multisource data ...
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Structured Discriminative Tensor Dictionary Learning for Unsupervised Domain Adaptation
Unsupervised Domain Adaptation (UDA) addresses the problem of performanc...
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Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation
Cross-view image translation is challenging because it involves images w...
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VoiceID Loss: Speech Enhancement for Speaker Verification
In this paper, we propose VoiceID loss, a novel loss function for traini...
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An Unsupervised Autoregressive Model for Speech Representation Learning
This paper proposes a novel unsupervised autoregressive neural model for...
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Attention-Guided Generative Adversarial Networks for Unsupervised Image-to-Image Translation
The state-of-the-art approaches in Generative Adversarial Networks (GANs...
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An End-to-end Framework For Integrated Pulmonary Nodule Detection and False Positive Reduction
Pulmonary nodule detection using low-dose Computed Tomography (CT) is of...
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Automatic Pulmonary Lobe Segmentation Using Deep Learning
Pulmonary lobe segmentation is an important task for pulmonary disease r...
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Automated pulmonary nodule detection using 3D deep convolutional neural networks
Early detection of pulmonary nodules in computed tomography (CT) images ...
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Improving Dense Crowd Counting Convolutional Neural Networks using Inverse k-Nearest Neighbor Maps and Multiscale Upsampling
Gatherings of thousands to millions of people occur frequently for an en...
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Attribute-Guided Sketch Generation
Facial attributes are important since they provide a detailed descriptio...
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Fast and Robust Dynamic Hand Gesture Recognition via Key Frames Extraction and Feature Fusion
Gesture recognition is a hot topic in computer vision and pattern recogn...
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Dual Generator Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
State-of-the-art methods for image-to-image translation with Generative ...
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Generalizing semi-supervised generative adversarial networks to regression
In this work, we generalize semi-supervised generative adversarial netwo...
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On The Inductive Bias of Words in Acoustics-to-Word Models
Acoustics-to-word models are end-to-end speech recognizers that use word...
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Frame-level speaker embeddings for text-independent speaker recognition and analysis of end-to-end model
In this paper, we propose a Convolutional Neural Network (CNN) based spe...
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Deep Micro-Dictionary Learning and Coding Network
In this paper, we propose a novel Deep Micro-Dictionary Learning and Cod...
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GestureGAN for Hand Gesture-to-Gesture Translation in the Wild
Hand gesture-to-gesture translation in the wild is a challenging task si...
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Accurate indoor mapping using an autonomous unmanned aerial vehicle (UAV)
An autonomous indoor aerial vehicle requires reliable simul- taneous loc...
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