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Found 11 papers, 4 papers with code
Gaze-guided Hand-Object Interaction Synthesis: Benchmark and Method
Here, the object motion diffusion model generates sequences of object motions based on gaze conditions, while the hand motion diffusion model produces hand motions based on the generated object motion.
Assessing Large Language Models in Mechanical Engineering Education: A Study on Mechanics-Focused Conceptual Understanding
This study is a pioneering endeavor to investigate the capabilities of Large Language Models (LLMs) in addressing conceptual questions within the domain of mechanical engineering with a focus on mechanics.
TripleSurv: Triplet Time-adaptive Coordinate Loss for Survival Analysis
However, ranking loss only focus on the ranking of survival time and does not consider potential effect of samples for exact survival time values.
Benefit from public unlabeled data: A Frangi filtering-based pretraining network for 3D cerebrovascular segmentation
In this study, we construct the largest preprocessed unlabeled TOF-MRA datasets (1510 subjects) to date.
Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images
Furthermore, we demonstrate that our model can generalize to two unseen sites with 229 WSIs.
Coarse-to-Fine Covid-19 Segmentation via Vision-Language Alignment
Segmentation of COVID-19 lesions can assist physicians in better diagnosis and treatment of COVID-19.
Ranked #1 on
Medical Image Segmentation
on MosMedData
2D and 3D CT Radiomic Features Performance Comparison in Characterization of Gastric Cancer: A Multi-center Study
We comprehensively compared 2D and 3D radiomic features' representation and discrimination capacity regarding GC, via three tasks.
Enhanced Decentralized Federated Learning based on Consensus in Connected Vehicles
Federated learning (FL) is emerging as a new paradigm to train machine learning (ML) models in distributed systems, including vehicles in V2X networks.
TFCNs: A CNN-Transformer Hybrid Network for Medical Image Segmentation
Medical image segmentation is one of the most fundamental tasks concerning medical information analysis.
Ranked #5 on
Semantic Segmentation
on ACDC Scribbles
Speckle-based optical cryptosystem and its application for human face recognition via deep learning
A scattering ground glass is exploited to generate physical secret keys of gigabit length and encrypt face images via seemingly random optical speckles at light speed.
A Discrete-event-based Simulator for Distributed Deep Learning
New intelligence applications are driving increasing interest in deploying deep neural networks (DNN) in a distributed way.
