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Browsing "Computer Science publications" by Author Carneiro, G.

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PreviewIssue DateTitleAuthor(s)
20153-D Modeling from Concept Sketches of Human Characters with Minimal User InteractionJohnston, A.; Carneiro, G.; Ding, R.; Velho, L.; 2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA 2015) (23 Nov 2015 - 25 Nov 2015 : Adelaide, AUSTRALIA)
20213D semantic mapping from arthroscopy using out-of-distribution pose and depth and in-distribution segmentation trainingJonmohamadi, Y.; Ali, S.; Liu, F.; Roberts, J.; Crawford, R.; Carneiro, G.; Pandey, A.K.; DeBruijne, M.; Cattin, P.C.; Cotin, S.; Padoy, N.; Speidel, S.; Zheng, Y.; Essert, C.; 24th International Conference of Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 (27 Sep 2021 - 1 Oct 2021 : Strasbourg, France)
2018A Bayesian data augmentation approach for learning deep modelsTran, T.; Pham, T.; Carneiro, G.; Palmer, L.; Reid, I.; Guyon, I.; Luxburg, U.V.; Bengio, S.; Wallach, H.; Fergus, R.; Vishwanathan, S.; Garnett, R.; NIPS Foundation Inc (4 Dec 2017 - 9 Dec 2017 : Long Beach, CA)
2021A Chaos Theory Approach to Understand Neural Network OptimizationSasdelli, M.; Ajanthan, T.; Chin, T.J.; Carneiro, G.; Digital Image Computing: Techniques and Applications (DICTA) (29 Nov 2021 - 1 Dec 2021 : Gold Coast, Australia)
2010A comparative study on the use of an ensemble of feature extractors for the automatic design of local image descriptorsCarneiro, G.; International Conference on Pattern Recognition (20th : 2010 : Istanbul, Turkey)
2017A deep convolutional neural network module that promotes competition of multiple-size filtersLiao, Z.; Carneiro, G.
2008A discriminative model-constrained graph cuts approach to fully automated pediatric brain tumor segmentation in 3-D MRIWels, M.; Carneiro, G.; Aplas, A.; Huber, M.; Hornegger, J.; Comaniciu, D.; International Conference on Medical Image Computing and Computer-Assisted Intervention (11th : 2008 : New York, NY)
2007A probabilistic, hierarchical, and discriminant framework for rapid and accurate detection of deformable anatomic structureZhou, S.; Guo, F.; Park, J.; Carneiro, G.; Jackson, J.; Simopoulos, C.; Brendel, M.; Otsuki, J.; Comaniciu, D.; IEEE International Conference on Computer Vision (11th : 2007 : Rio de Janeiro, Brazil)
2020A survey on deep learning with noisy labels: How to train your model when you cannot trust on the annotations?Cordeiro, F.R.; Carneiro, G.; Conference on Graphics, Patterns and Images (SIBGRAPI) (7 Nov 2020 - 10 Nov 2020 : virtual online)
2019A theoretically sound upper bound on the triplet loss for improving the efficiency of deep distance metric learningDo, T.-T.; Tran, T.; Reid, I.; Kumar, V.; Hoang, T.; Carneiro, G.; IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (16 Jun 2019 - 20 Jun 2019 : Long Beach, CA, USA)
2022ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image ClassificationLiu, F.; Tian, Y.; Chen, Y.; Liu, Y.; Belagiannis, V.; Carneiro, G.; IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (18 Jun 2022 - 24 Jun 2022 : New Orleans, Louisiana)
2015An improved joint optimization of multiple level set functions for the segmentation of overlapping cervical cellsLu, Z.; Carneiro, G.; Bradley, A.
2020Approximate Fisher information matrix to characterise the training of deep neural networksLiao, Z.; Drummond, T.; Reid, I.; Carneiro, G.
2021Artificial intelligence for the diagnosis of lymph node metastases in patients with abdominopelvic malignancy: a systematic review and meta-analysisBedrikovetski, S.; Dudi-Venkata, N.N.; Maicas Suso, G.; Kroon, H.M.; Seow, W.; Carneiro, G.; Moore, J.W.; Sammour, T.
2013Artistic image analysis using graph-based learning approachesCarneiro, G.
2015Artistic image analysis using the composition of human figuresChen, Q.; Carneiro, G.; Agapito, L.; Bronstein, M.; Rother, C.; 13th European Conference on Computer Vision Workshops (ECCV 2014) (6 Sep 2014 - 7 Sep 2014 : Zurich, Switzerland)
2012Artistic image classification: an analysis on the PRINTART databaseCarneiro, G.; da Silva, N.; Del Bue, A.; Costeira, J.; Fitzgibbon, A.; Lazebnik, S.; Perona, P.; Sato, Y.; Schmid, C.; European Conference on Computer Vision (12th : 2012 : Florence, Italy)
2020Augmentation network for generalised zero-shot learningFelix Alves, R.; Sasdelli, M.; Reid, I.D.; Carneiro, G.; Ishikawa, H.; Liu, C.-L.; Pajdla, T.; Shi, J.; Asian Conference on Computer Vision (ACCV) (30 Nov 2020 - 4 Dec 2020 : virtual online)
2017Automated 5-year mortality prediction using deep learning and radiomics features from chest computed tomographyCarneiro, G.; Oakden-Rayner, L.; Bradley, A.; Nascimento, J.; Palmer, L.; IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017) (18 Apr 2017 - 21 Apr 2017 : Melbourne, AUSTRALIA)
2017Automated analysis of unregistered multi-view mammograms with deep learningCarneiro, G.; Nascimento, J.; Bradley, A.
Showing results 1 to 20 of 132  next >