Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Gustavo Carneiro

ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification


Dec 19, 2021
Fengbei Liu, Yu Tian, Yuanhong Chen, Yuyuan Liu, Vasileios Belagiannis, Gustavo Carneiro


  Access Paper or Ask Questions

ACPL: Anti-curriculum Pseudo-labelling forSemi-supervised Medical Image Classification


Nov 25, 2021
Fengbei Liu, Yu Tian, Yuanhong Chen, Yuyuan Liu, Vasileios Belagiannis, Gustavo Carneiro


  Access Paper or Ask Questions

Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation


Nov 25, 2021
Yuyuan Liu, Yu Tian, Yuanhong Chen, Fengbei Liu, Vasileios Belagiannis, Gustavo Carneiro


  Access Paper or Ask Questions

Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes


Nov 24, 2021
Yu Tian, Yuyuan Liu, Guansong Pang, Fengbei Liu, Yuanhong Chen, Gustavo Carneiro


  Access Paper or Ask Questions

A Hierarchical Multi-Task Approach to Gastrointestinal Image Analysis


Nov 16, 2021
Adrian Galdran, Gustavo Carneiro, Miguel A. González Ballester


  Access Paper or Ask Questions

Convolutional Nets Versus Vision Transformers for Diabetic Foot Ulcer Classification


Nov 12, 2021
Adrian Galdran, Gustavo Carneiro, Miguel A. González Ballester


  Access Paper or Ask Questions

PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels


Oct 22, 2021
Filipe R. Cordeiro, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro

* Paper accepted at BMVC'21: The 32nd British Machine Vision Conference 

  Access Paper or Ask Questions

Double Encoder-Decoder Networks for Gastrointestinal Polyp Segmentation


Oct 05, 2021
Adrian Galdran, Gustavo Carneiro, Miguel A. González Ballester

* Accepted at International Conference on Pattern Recognition, AIHA workshop 2021 

  Access Paper or Ask Questions

Balanced-MixUp for Highly Imbalanced Medical Image Classification


Sep 20, 2021
Adrian Galdran, Gustavo Carneiro, Miguel A. González Ballester

* Accepted at MICCAI 2021, International Conference on Medical Image Computing and Computer Assisted Intervention 

  Access Paper or Ask Questions

Multi-centred Strong Augmentation via Contrastive Learning for Unsupervised Lesion Detection and Segmentation


Sep 03, 2021
Yu Tian, Fengbei Liu, Guansong Pang, Yuanhong Chen, Yuyuan Liu, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro

* Submit to IEEE Transactions on Medical Imaging (TMI); Under Review 

  Access Paper or Ask Questions

3D Semantic Mapping from Arthroscopy using Out-of-distribution Pose and Depth and In-distribution Segmentation Training


Jun 10, 2021
Yaqub Jonmohamadi, Shahnewaz Ali, Fengbei Liu, Jonathan Roberts, Ross Crawford, Gustavo Carneiro, Ajay K. Pandey


  Access Paper or Ask Questions

Probabilistic task modelling for meta-learning


Jun 09, 2021
Cuong C. Nguyen, Thanh-Toan Do, Gustavo Carneiro

* Accepted at UAI 2021 

  Access Paper or Ask Questions

Self-supervised Lesion Change Detection and Localisation in Longitudinal Multiple Sclerosis Brain Imaging


Jun 02, 2021
Minh-Son To, Ian G Sarno, Chee Chong, Mark Jenkinson, Gustavo Carneiro

* Provisional accepted for MICCAI 2021 

  Access Paper or Ask Questions

ScanMix: Learning from Severe Label Noise via Semantic Clustering and Semi-Supervised Learning


Mar 21, 2021
Ragav Sachdeva, Filipe R Cordeiro, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro


  Access Paper or Ask Questions

LongReMix: Robust Learning with High Confidence Samples in a Noisy Label Environment


Mar 06, 2021
Filipe R. Cordeiro, Ragav Sachdeva, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro


  Access Paper or Ask Questions

Noisy Label Learning for Large-scale Medical Image Classification


Mar 06, 2021
Fengbei Liu, Yu Tian, Filipe R. Cordeiro, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro


  Access Paper or Ask Questions

Self-supervised Mean Teacher for Semi-supervised Chest X-ray Classification


Mar 05, 2021
Fengbei Liu, Yu Tian, Filipe R. Cordeiro, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro


  Access Paper or Ask Questions

Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images


Mar 05, 2021
Yu Tian, Guansong Pang, Fengbei Liu, Yuanhong chen, Seon Ho Shin, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro

* 10 pages; Under Review 

  Access Paper or Ask Questions

Post-hoc Overall Survival Time Prediction from Brain MRI


Feb 22, 2021
Renato Hermoza, Gabriel Maicas, Jacinto C. Nascimento, Gustavo Carneiro

* 5 pages, 2 figure 

  Access Paper or Ask Questions

Similarity of Classification Tasks


Jan 27, 2021
Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro

* Accepted at Neurips Meta-learning Workshop 2020 

  Access Paper or Ask Questions

Unsupervised Anomaly Detection and Localisation with Multi-scale Interpolated Gaussian Descriptors


Jan 25, 2021
Yuanhong Chen, Yu Tian, Guansong Pang, Gustavo Carneiro


  Access Paper or Ask Questions

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


Jan 25, 2021
Yu Tian, Guansong Pang, Yuanhong Chen, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro


  Access Paper or Ask Questions

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


Jan 09, 2021
Yu Tian, Leonardo Zorron Cheng Tao Pu, Yuyuan Liu, Gabriel Maicas, Johan W. Verjans, Alastair D. Burt, Seon Ho Shin, Rajvinder Singh, Gustavo Carneiro

* Preprint to submit to IEEE journals 

  Access Paper or Ask Questions

Semantics for Robotic Mapping, Perception and Interaction: A Survey


Jan 02, 2021
Sourav Garg, Niko SĂĽnderhauf, Feras Dayoub, Douglas Morrison, Akansel Cosgun, Gustavo Carneiro, Qi Wu, Tat-Jun Chin, Ian Reid, Stephen Gould, Peter Corke, Michael Milford

* Foundations and Trends in Robotics: Vol. 8: No. 1-2, pp 1-224 (2020) 
* 81 pages, 1 figure, published in Foundations and Trends in Robotics, 2020 

  Access Paper or Ask Questions

Domain Generalisation with Domain Augmented Supervised Contrastive Learning (Student Abstract)


Dec 27, 2020
Hoang Son Le, Rini Akmeliawati, Gustavo Carneiro


  Access Paper or Ask Questions

A Survey on Deep Learning with Noisy Labels: How to train your model when you cannot trust on the annotations?


Dec 05, 2020
Filipe R. Cordeiro, Gustavo Carneiro

* 2020 33rd SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI) 
* Paper published at SIBRAPI, 2020 (camera ready version) 

  Access Paper or Ask Questions

EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels


Nov 11, 2020
Ragav Sachdeva, Filipe R. Cordeiro, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro

* Paper accepted at WACV'21: Winter Conference on Applications of Computer Vision 

  Access Paper or Ask Questions

Deep Metric Learning Meets Deep Clustering: An Novel Unsupervised Approach for Feature Embedding


Sep 09, 2020
Binh X. Nguyen, Binh D. Nguyen, Gustavo Carneiro, Erman Tjiputra, Quang D. Tran, Thanh-Toan Do

* Accepted in BMVC 2020 

  Access Paper or Ask Questions

Self-supervised Depth Estimation to Regularise Semantic Segmentation in Knee Arthroscopy


Jul 05, 2020
Fengbei Liu, Yaqub Jonmohamadi, Gabriel Maicas, Ajay K. Pandey, Gustavo Carneiro

* 10 pages, 6 figures 

  Access Paper or Ask Questions

Few-Shot Microscopy Image Cell Segmentation


Jun 29, 2020
Youssef Dawoud, Julia Hornauer, Gustavo Carneiro, Vasileios Belagiannis

* 16 pages, 4 figures, Accepted by ECML-PKDD 2020 conference 

  Access Paper or Ask Questions