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Symmetric-Constrained Irregular Structure Inpainting for Brain MRI Registration with Tumor Pathology
Deformable registration of magnetic resonance images between patients wi...
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Dual-cycle Constrained Bijective VAE-GAN For Tagged-to-Cine Magnetic Resonance Image Synthesis
Tagged magnetic resonance imaging (MRI) is a widely used imaging techniq...
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A Unified Conditional Disentanglement Framework for Multimodal Brain MR Image Translation
Multimodal MRI provides complementary and clinically relevant informatio...
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VoxelHop: Successive Subspace Learning for ALS Disease Classification Using Structural MRI
Deep learning has great potential for accurate detection and classificat...
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Subtype-aware Unsupervised Domain Adaptation for Medical Diagnosis
Recent advances in unsupervised domain adaptation (UDA) show that transf...
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Identity-aware Facial Expression Recognition in Compressed Video
This paper targets to explore the inter-subject variations eliminated fa...
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Energy-constrained Self-training for Unsupervised Domain Adaptation
Unsupervised domain adaptation (UDA) aims to transfer the knowledge on a...
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Importance-Aware Semantic Segmentation in Self-Driving with Discrete Wasserstein Training
Semantic segmentation (SS) is an important perception manner for self-dr...
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Mutual Information Regularized Identity-aware Facial ExpressionRecognition in Compressed Video
This paper targets to explore the inter-subject variations eliminated fa...
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Reinforced Wasserstein Training for Severity-Aware Semantic Segmentation in Autonomous Driving
Semantic segmentation is important for many real-world systems, e.g., au...
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AUTO3D: Novel view synthesis through unsupervisely learned variational viewpoint and global 3D representation
This paper targets on learning-based novel view synthesis from a single ...
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Disentanglement for Discriminative Visual Recognition
Recent successes of deep learning-based recognition rely on maintaining ...
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TPPO: A Novel Trajectory Predictor with Pseudo Oracle
Forecasting pedestrian trajectories in dynamic scenes remains a critical...
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A Novel Graph based Trajectory Predictor with Pseudo Oracle
Pedestrian trajectory prediction in dynamic scenes remains a challenging...
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Towards Disentangled Representations for Human Retargeting by Multi-view Learning
We study the problem of learning disentangled representations for data a...
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Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models
AI Safety is a major concern in many deep learning applications such as ...
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Unimodal-uniform Constrained Wasserstein Training for Medical Diagnosis
The labels in medical diagnosis task are usually discrete and successive...
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Conservative Wasserstein Training for Pose Estimation
This paper targets the task with discrete and periodic class labels (e.g...
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Confidence Regularized Self-Training
Recent advances in domain adaptation show that deep self-training presen...
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Attention Control with Metric Learning Alignment for Image Set-based Recognition
This paper considers the problem of image set-based face verification an...
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Permutation-invariant Feature Restructuring for Correlation-aware Image Set-based Recognition
We consider the problem of comparing the similarity of image sets with v...
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Dependency-aware Attention Control for Unconstrained Face Recognition with Image Sets
This paper targets the problem of image set-based face verification and ...
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Control with Distributed Deep Reinforcement Learning: Learn a Better Policy
Distributed approach is a very effective method to improve training effi...
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Image Inpainting using Block-wise Procedural Training with Annealed Adversarial Counterpart
Recent advances in deep generative models have shown promising potential...
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Image Inpainting using Block-wise Procedural Training with Annealed Adversarial Counterpar
Recent advances in deep generative models have shown promising potential...
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Fast Online Clustering with Randomized Skeleton Sets
We present a new fast online clustering algorithm that reliably recovers...
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