Rajvinder Singh

Orcid: 0000-0001-9116-6054

According to our database1, Rajvinder Singh authored at least 14 papers between 2019 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Self-supervised pseudo multi-class pre-training for unsupervised anomaly detection and segmentation in medical images.
Medical Image Anal., December, 2023

Unsupervised Anomaly Detection in Medical Images with a Memory-Augmented Multi-level Cross-Attentional Masked Autoencoder.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

2022
Toward a Human-Centered AI-assisted Colonoscopy System.
CoRR, 2022

Unsupervised Anomaly Detection in Medical Images with a Memory-augmented Multi-level Cross-attentional Masked Autoencoder.
CoRR, 2022

In Defense of Kalman Filtering for Polyp Tracking from Colonoscopy Videos.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021
Multi-centred Strong Augmentation via Contrastive Learning for Unsupervised Lesion Detection and Segmentation.
CoRR, 2021

Weakly-supervised Video Anomaly Detection with Contrastive Learning of Long and Short-range Temporal Features.
CoRR, 2021

Detecting, Localising and Classifying Polyps from Colonoscopy Videos using Deep Learning.
CoRR, 2021

Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Deep learning uncertainty and confidence calibration for the five-class polyp classification from colonoscopy.
Medical Image Anal., 2020

Few-Shot Anomaly Detection for Polyp Frames from Colonoscopy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Photoshopping Colonoscopy Video Frames.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
One-Stage Five-Class Polyp Detection and Classification.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019


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