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08/16/2023
GPA-3D: Geometry-aware Prototype Alignment for Unsupervised Domain Adaptive 3D Object Detection from Point Clouds
LiDAR-based 3D detection has made great progress in recent years. Howeve...
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07/19/2022
Metadata Representations for Queryable ML Model Zoos
Machine learning (ML) practitioners and organizations are building model...
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12/24/2021
3D Point Cloud Reconstruction and SLAM as an Input
To handle the different types of surface reconstruction tasks, we have r...
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12/02/2021
Quantifying the uncertainty of neural networks using Monte Carlo dropout for deep learning based quantitative MRI
Dropout is conventionally used during the training phase as regularizati...
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11/14/2021
SDnDTI: Self-supervised deep learning-based denoising for diffusion tensor MRI
The noise in diffusion-weighted images (DWIs) decreases the accuracy and...
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06/02/2021
Towards Unified Surgical Skill Assessment
Surgical skills have a great influence on surgical safety and patients' ...
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03/29/2021
SIENet: Spatial Information Enhancement Network for 3D Object Detection from Point Cloud
LiDAR-based 3D object detection pushes forward an immense influence on a...
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02/17/2021
SRDTI: Deep learning-based super-resolution for diffusion tensor MRI
High-resolution diffusion tensor imaging (DTI) is beneficial for probing...
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08/27/2020
Surgical Skill Assessment on In-Vivo Clinical Data via the Clearness of Operating Field
Surgical skill assessment is important for surgery training and quality ...
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08/27/2020
Unsupervised Surgical Instrument Segmentation via Anchor Generation and Semantic Diffusion
Surgical instrument segmentation is a key component in developing contex...
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10/19/2018