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09/16/2023
Bias and Fairness in Chatbots: An Overview
Chatbots have been studied for more than half a century. With the rapid ...
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07/05/2023
MRecGen: Multimodal Appropriate Reaction Generator
Verbal and non-verbal human reaction generation is a challenging task, a...
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05/30/2023
Incremental Learning for Heterogeneous Structure Segmentation in Brain Tumor MRI
Deep learning (DL) models for segmenting various anatomical structures h...
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05/23/2023
Attentive Continuous Generative Self-training for Unsupervised Domain Adaptive Medical Image Translation
Self-training is an important class of unsupervised domain adaptation (U...
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05/17/2023
NFI_2: Learning Noise-Free Illuminance-Interpolator for Unsupervised Low-Light Image Enhancement
Low-light situations severely restrict the pursuit of aesthetic quality ...
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03/17/2023
Posterior Estimation Using Deep Learning: A Simulation Study of Compartmental Modeling in Dynamic PET
Background: In medical imaging, images are usually treated as determinis...
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02/14/2023
Synthesizing audio from tongue motion during speech using tagged MRI via transformer
Investigating the relationship between internal tissue point motion of t...
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01/21/2023
Successive Subspace Learning for Cardiac Disease Classification with Two-phase Deformation Fields from Cine MRI
Cardiac cine magnetic resonance imaging (MRI) has been used to character...
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01/10/2023
Differentiable modeling to unify machine learning and physical models and advance Geosciences
Process-Based Modeling (PBM) and Machine Learning (ML) are often perceiv...
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12/22/2022
Infrared Image Super-Resolution: Systematic Review, and Future Trends
Image Super-Resolution (SR) is essential for a wide range of computer vi...
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09/16/2022
Memory Consistent Unsupervised Off-the-Shelf Model Adaptation for Source-Relaxed Medical Image Segmentation
Unsupervised domain adaptation (UDA) has been a vital protocol for migra...
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08/26/2022
Constraining Pseudo-label in Self-training Unsupervised Domain Adaptation with Energy-based Model
Deep learning is usually data starved, and the unsupervised domain adapt...
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08/16/2022
Unsupervised Domain Adaptation for Segmentation with Black-box Source Model
Unsupervised domain adaptation (UDA) has been widely used to transfer kn...
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08/16/2022
Subtype-Aware Dynamic Unsupervised Domain Adaptation
Unsupervised domain adaptation (UDA) has been successfully applied to tr...
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08/15/2022
Deep Unsupervised Domain Adaptation: A Review of Recent Advances and Perspectives
Deep learning has become the method of choice to tackle real-world probl...
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06/05/2022
ACT: Semi-supervised Domain-adaptive Medical Image Segmentation with Asymmetric Co-training
Unsupervised domain adaptation (UDA) has been vastly explored to allevia...
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06/05/2022
Tagged-MRI Sequence to Audio Synthesis via Self Residual Attention Guided Heterogeneous Translator
Understanding the underlying relationship between tongue and oropharynge...
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03/25/2022
Sparse Federated Learning with Hierarchical Personalization Models
Federated learning (FL) is widely used in the Internet of Things (IoT), ...
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03/05/2022
Bathymetry Inversion using a Deep-Learning-Based Surrogate for Shallow Water Equations Solvers
River bathymetry is critical for many aspects of water resources managem...
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02/25/2022
Structure-aware Unsupervised Tagged-to-Cine MRI Synthesis with Self Disentanglement
Cycle reconstruction regularized adversarial training – e.g., CycleGAN, ...
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01/22/2022
A Multi-modal Fusion Framework Based on Multi-task Correlation Learning for Cancer Prognosis Prediction
Morphological attributes from histopathological images and molecular pro...
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01/18/2022
Variational Inference for Quantifying Inter-observer Variability in Segmentation of Anatomical Structures
Lesions or organ boundaries visible through medical imaging data are oft...
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01/13/2022
Self-semantic contour adaptation for cross modality brain tumor segmentation
Unsupervised domain adaptation (UDA) between two significantly disparate...
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12/20/2021
Surrogate Model for Shallow Water Equations Solvers with Deep Learning
Shallow water equations are the foundation of most models for flooding a...
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07/28/2021
Adversarial Unsupervised Domain Adaptation with Conditional and Label Shift: Infer, Align and Iterate
In this work, we propose an adversarial unsupervised domain adaptation (...
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07/28/2021
Recursively Conditional Gaussian for Ordinal Unsupervised Domain Adaptation
There has been a growing interest in unsupervised domain adaptation (UDA...
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07/22/2021
Domain Generalization under Conditional and Label Shifts via Variational Bayesian Inference
In this work, we propose a domain generalization (DG) approach to learn ...
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07/22/2021
Segmentation of Cardiac Structures via Successive Subspace Learning with Saab Transform from Cine MRI
Assessment of cardiovascular disease (CVD) with cine magnetic resonance ...
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07/22/2021
Deep 3D-CNN for Depression Diagnosis with Facial Video Recording of Self-Rating Depression Scale Questionnaire
The Self-Rating Depression Scale (SDS) questionnaire is commonly utilize...
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06/23/2021
Generative Self-training for Cross-domain Unsupervised Tagged-to-Cine MRI Synthesis
Self-training based unsupervised domain adaptation (UDA) has shown great...
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06/23/2021
Adapting Off-the-Shelf Source Segmenter for Target Medical Image Segmentation
Unsupervised domain adaptation (UDA) aims to transfer knowledge learned ...
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04/30/2021
Embedding Semantic Hierarchy in Discrete Optimal Transport for Risk Minimization
The widely-used cross-entropy (CE) loss-based deep networks achieved sig...
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04/09/2021
Language model fusion for streaming end to end speech recognition
Streaming processing of speech audio is required for many contemporary p...
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01/17/2021
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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01/14/2021
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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01/14/2021
A Unified Conditional Disentanglement Framework for Multimodal Brain MR Image Translation
Multimodal MRI provides complementary and clinically relevant informatio...
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01/13/2021
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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01/01/2021
Subtype-aware Unsupervised Domain Adaptation for Medical Diagnosis
Recent advances in unsupervised domain adaptation (UDA) show that transf...
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01/01/2021
Identity-aware Facial Expression Recognition in Compressed Video
This paper targets to explore the inter-subject variations eliminated fa...
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01/01/2021
Energy-constrained Self-training for Unsupervised Domain Adaptation
Unsupervised domain adaptation (UDA) aims to transfer the knowledge on a...
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10/21/2020
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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10/20/2020
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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08/11/2020
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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07/13/2020
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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06/14/2020
Disentanglement for Discriminative Visual Recognition
Recent successes of deep learning-based recognition rely on maintaining ...
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02/04/2020
TPPO: A Novel Trajectory Predictor with Pseudo Oracle
Forecasting pedestrian trajectories in dynamic scenes remains a critical...
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02/02/2020
A Novel Graph based Trajectory Predictor with Pseudo Oracle
Pedestrian trajectory prediction in dynamic scenes remains a challenging...
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12/12/2019
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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11/18/2019
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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11/03/2019