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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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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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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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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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11/03/2019
Conservative Wasserstein Training for Pose Estimation
This paper targets the task with discrete and periodic class labels (e.g...
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08/05/2019
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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08/03/2019
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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07/05/2019
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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06/24/2019
Efficient and Effective Context-Based Convolutional Entropy Modeling for Image Compression
It has long been understood that precisely estimating the probabilistic ...
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04/17/2019
Correlated Logistic Model With Elastic Net Regularization for Multilabel Image Classification
In this paper, we present correlated logistic (CorrLog) model for multil...
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04/01/2019