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09/20/2023
3D-U-SAM Network For Few-shot Tooth Segmentation in CBCT Images
Accurate representation of tooth position is extremely important in trea...
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07/05/2023
A ChatGPT Aided Explainable Framework for Zero-Shot Medical Image Diagnosis
Zero-shot medical image classification is a critical process in real-wor...
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07/05/2023
ToothSegNet: Image Degradation meets Tooth Segmentation in CBCT Images
In computer-assisted orthodontics, three-dimensional tooth models are re...
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06/08/2023
On the Effectiveness of Out-of-Distribution Data in Self-Supervised Long-Tail Learning
Though Self-supervised learning (SSL) has been widely studied as a promi...
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02/15/2023
DIVOTrack: A Novel Dataset and Baseline Method for Cross-View Multi-Object Tracking in DIVerse Open Scenes
Cross-view multi-object tracking aims to link objects between frames and...
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10/30/2022
Generate, Discriminate and Contrast: A Semi-Supervised Sentence Representation Learning Framework
Most sentence embedding techniques heavily rely on expensive human-annot...
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10/29/2022
TFormer: 3D Tooth Segmentation in Mesh Scans with Geometry Guided Transformer
Optical Intra-oral Scanners (IOS) are widely used in digital dentistry, ...
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08/22/2022
Towards Calibrated Hyper-Sphere Representation via Distribution Overlap Coefficient for Long-tailed Learning
Long-tailed learning aims to tackle the crucial challenge that head clas...
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06/30/2022
Towards Federated Long-Tailed Learning
Data privacy and class imbalance are the norm rather than the exception ...
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03/11/2022
AI-enabled Automatic Multimodal Fusion of Cone-Beam CT and Intraoral Scans for Intelligent 3D Tooth-Bone Reconstruction and Clinical Applications
A critical step in virtual dental treatment planning is to accurately de...
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02/17/2022
Federated Stochastic Gradient Descent Begets Self-Induced Momentum
Federated learning (FL) is an emerging machine learning method that can ...
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08/13/2021
Track without Appearance: Learn Box and Tracklet Embedding with Local and Global Motion Patterns for Vehicle Tracking
Vehicle tracking is an essential task in the multi-object tracking (MOT)...
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10/09/2020
Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation
AMR-to-text generation is used to transduce Abstract Meaning Representat...
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09/25/2020
An Unsupervised Sentence Embedding Method byMutual Information Maximization
BERT is inefficient for sentence-pair tasks such as clustering or semant...
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11/25/2019
Biologically Plausible Sequence Learning with Spiking Neural Networks
Motivated by the celebrated discrete-time model of nervous activity outl...
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08/17/2019
Scheduling Policies for Federated Learning in Wireless Networks
Motivated by the increasing computational capacity of wireless user equi...
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12/04/2017
Vprop: Variational Inference using RMSprop
Many computationally-efficient methods for Bayesian deep learning rely o...
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11/21/2017
Variational Probability Flow for Biologically Plausible Training of Deep Neural Networks
The quest for biologically plausible deep learning is driven, not just b...
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11/15/2017