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08/23/2023
TAI-GAN: Temporally and Anatomically Informed GAN for early-to-late frame conversion in dynamic cardiac PET motion correction
The rapid tracer kinetics of rubidium-82 (^82Rb) and high variation of c...
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08/18/2023
Masked Spatio-Temporal Structure Prediction for Self-supervised Learning on Point Cloud Videos
Recently, the community has made tremendous progress in developing effec...
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07/07/2023
All in One: Exploring Unified Vision-Language Tracking with Multi-Modal Alignment
Current mainstream vision-language (VL) tracking framework consists of t...
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06/01/2023
BUOL: A Bottom-Up Framework with Occupancy-aware Lifting for Panoptic 3D Scene Reconstruction From A Single Image
Understanding and modeling the 3D scene from a single image is a practic...
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05/19/2023
Three-way Imbalanced Learning based on Fuzzy Twin SVM
Three-way decision (3WD) is a powerful tool for granular computing to de...
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05/17/2023
Joint Denoising and Few-angle Reconstruction for Low-dose Cardiac SPECT Using a Dual-domain Iterative Network with Adaptive Data Consistency
Myocardial perfusion imaging (MPI) by single-photon emission computed to...
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05/17/2023
Cross-domain Iterative Network for Simultaneous Denoising, Limited-angle Reconstruction, and Attenuation Correction of Low-dose Cardiac SPECT
Single-Photon Emission Computed Tomography (SPECT) is widely applied for...
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05/06/2023
PointCMP: Contrastive Mask Prediction for Self-supervised Learning on Point Cloud Videos
Self-supervised learning can extract representations of good quality fro...
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04/02/2023
FedFTN: Personalized Federated Learning with Deep Feature Transformation Network for Multi-institutional Low-count PET Denoising
Low-count PET is an efficient way to reduce radiation exposure and acqui...
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10/10/2022
HiCo: Hierarchical Contrastive Learning for Ultrasound Video Model Pretraining
The self-supervised ultrasound (US) video model pretraining can use a sm...
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05/25/2022
You Need to Read Again: Multi-granularity Perception Network for Moment Retrieval in Videos
Moment retrieval in videos is a challenging task that aims to retrieve t...
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03/30/2022
One-Step Two-Critic Deep Reinforcement Learning for Inverter-based Volt-Var Control in Active Distribution Networks
A one-step two-critic deep reinforcement learning (OSTC-DRL) approach fo...
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12/31/2020
FREA-Unet: Frequency-aware U-net for Modality Transfer
While Positron emission tomography (PET) imaging has been widely used in...
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09/16/2020
Using Sensory Time-cue to enable Unsupervised Multimodal Meta-learning
As data from IoT (Internet of Things) sensors become ubiquitous, state-o...
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06/16/2017
Local Feature Descriptor Learning with Adaptive Siamese Network
Although the recent progress in the deep neural network has led to the d...
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08/08/2012