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A Topological Filter for Learning with Label Noise
Noisy labels can impair the performance of deep neural networks. To tack...
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Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization
We introduce a novel representation learning method to disentangle pose-...
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Error-Bounded Correction of Noisy Labels
To collect large scale annotated data, it is inevitable to introduce lab...
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Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness
Adversarial data augmentation has shown promise for training robust deep...
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Deep Learning based NAS Score and Fibrosis Stage Prediction from CT and Pathology Data
Non-Alcoholic Fatty Liver Disease (NAFLD) is becoming increasingly preva...
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Measure Anatomical Thickness from Cardiac MRI with Deep Neural Networks
Accurate estimation of shape thickness from medical images is crucial in...
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Enhanced MRI Reconstruction Network using Neural Architecture Search
The accurate reconstruction of under-sampled magnetic resonance imaging ...
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PC-U Net: Learning to Jointly Reconstruct and Segment the Cardiac Walls in 3D from CT Data
The 3D volumetric shape of the heart's left ventricle (LV) myocardium (M...
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Oriented Object Detection in Aerial Images with Box Boundary-Aware Vectors
Oriented object detection in aerial images is a challenging task as the ...
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OnlineAugment: Online Data Augmentation with Less Domain Knowledge
Data augmentation is one of the most important tools in training modern ...
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Learn distributed GAN with Temporary Discriminators
In this work, we propose a method for training distributed GAN with sequ...
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Unbiased Auxiliary Classifier GANs with MINE
Auxiliary Classifier GANs (AC-GANs) are widely used conditional generati...
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MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps
The ability to reliably perceive the environmental states, particularly ...
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Point Cloud Processing via Recurrent Set Encoding
We present a new permutation-invariant network for 3D point cloud proces...
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Robust Conditional GAN from Uncertainty-Aware Pairwise Comparisons
Conditional generative adversarial networks have shown exceptional gener...
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Unsupervised Domain Adaptation via Calibrating Uncertainties
Unsupervised domain adaptation (UDA) aims at inferring class labels for ...
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Effective 3D Humerus and Scapula Extraction using Low-contrast and High-shape-variability MR Data
For the initial shoulder preoperative diagnosis, it is essential to obta...
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MRI Reconstruction via Cascaded Channel-wise Attention Network
We consider an MRI reconstruction problem with input of k-space data at ...
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Quantized Densely Connected U-Nets for Efficient Landmark Localization
In this paper, we propose quantized densely connected U-Nets for efficie...
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Learning to Forecast and Refine Residual Motion for Image-to-Video Generation
We consider the problem of image-to-video translation, where an input im...
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Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation
Random data augmentation is a critical technique to avoid overfitting in...
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Self-Attention Generative Adversarial Networks
In this paper, we propose the Self-Attention Generative Adversarial Netw...
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Improving GANs Using Optimal Transport
We present Optimal Transport GAN (OT-GAN), a variant of generative adver...
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Toward Marker-free 3D Pose Estimation in Lifting: A Deep Multi-view Solution
Lifting is a common manual material handling task performed in the workp...
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Interactive Reinforcement Learning for Object Grounding via Self-Talking
Humans are able to identify a referred visual object in a complex scene ...
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StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks
Although Generative Adversarial Networks (GANs) have shown remarkable su...
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Automatic Liver Segmentation Using an Adversarial Image-to-Image Network
Automatic liver segmentation in 3D medical images is essential in many c...
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Automatic Vertebra Labeling in Large-Scale 3D CT using Deep Image-to-Image Network with Message Passing and Sparsity Regularization
Automatic localization and labeling of vertebra in 3D medical images pla...
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Sketch-based Face Editing in Video Using Identity Deformation Transfer
We address the problem of using hand-drawn sketch to edit facial identit...
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Reconstruction-Based Disentanglement for Pose-invariant Face Recognition
Deep neural networks (DNNs) trained on large-scale datasets have recentl...
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StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks
Synthesizing high-quality images from text descriptions is a challenging...
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