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06/13/2023
Learning to Estimate 6DoF Pose from Limited Data: A Few-Shot, Generalizable Approach using RGB Images
The accurate estimation of six degrees-of-freedom (6DoF) object poses is...
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12/03/2022
StegaNeRF: Embedding Invisible Information within Neural Radiance Fields
Recent advances in neural rendering imply a future of widespread visual ...
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11/30/2022
Hint-dynamic Knowledge Distillation
Knowledge Distillation (KD) transfers the knowledge from a high-capacity...
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07/12/2022
Knowledge Condensation Distillation
Knowledge Distillation (KD) transfers the knowledge from a high-capacity...
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04/17/2022
AFSC: Adaptive Fourier Space Compression for Anomaly Detection
Anomaly Detection (AD) on medical images enables a model to recognize an...
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06/13/2021
Domain Generalization on Medical Imaging Classification using Episodic Training with Task Augmentation
Medical imaging datasets usually exhibit domain shift due to the variati...
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05/31/2021
Hierarchical Deep Network with Uncertainty-aware Semi-supervised Learning for Vessel Segmentation
The analysis of organ vessels is essential for computer-aided diagnosis ...
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03/16/2021
Consistent Posterior Distributions under Vessel-Mixing: A Regularization for Cross-Domain Retinal Artery/Vein Classification
Retinal artery/vein (A/V) classification is a critical technique for dia...
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03/16/2021
Unsupervised Anomaly Segmentation using Image-Semantic Cycle Translation
The goal of unsupervised anomaly segmentation (UAS) is to detect the pix...
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12/10/2020