Rahul Kumar Jain

Orcid: 0000-0002-0768-2193

According to our database1, Rahul Kumar Jain authored at least 13 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Early Recurrence Prediction of Hepatocellular Carcinoma Using Deep Learning Frameworks with Multi-Task Pre-Training.
Inf., August, 2024

Unsupervised Logo Detection Using Adversarial Learning From Synthetic to Real Images.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

A motion-aware and temporal-enhanced Spatial-Temporal Graph Convolutional Network for skeleton-based human action segmentation.
Neurocomputing, 2024

A Novel Adaptive Hypergraph Neural Network for Enhancing Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023
Ladder Fine-tuning approach for SAM integrating complementary network.
CoRR, 2023

A Spatial-Temporal Graph Convolutional Networks-based Approach for the OpenPack Challenge 2022.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2023

Automatic Detection of Focal Liver Lesions in Multi-phase CT Images Using One-Stage Object Detectors.
Proceedings of the 12th IEEE Global Conference on Consumer Electronics, 2023

A Self-Attention Based Fusion Model of Radiomics and Deep Features for Early Recurrence Prediction in NSCLC.
Proceedings of the 12th IEEE Global Conference on Consumer Electronics, 2023

Unsupervised Domain Adaptation Using Fourier Phase Enhanced Training Images for Liver Tumors Detection in Multi-phase CT Images.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Adaptive Graph Convolutional Networks for Medical Image Segmentation.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022
A multi-head pseudo nodes based spatial-temporal graph convolutional network for emotion perception from GAIT.
Neurocomputing, 2022

Unsupervised Domain Adaptation Using Adversarial Learning and Maximum Square Loss for Liver Tumors Detection in Multi-phase CT Images.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
LogoNet: Layer-Aggregated Attention CenterNet for Logo Detection.
Proceedings of the IEEE International Conference on Consumer Electronics, 2021


  Loading...