Carneiro, Gustavo

67 publications

TMLR 2026 Deep Multimodal Learning with Missing Modality: A Survey Renjie Wu, Hu Wang, Hsiang-Ting Chen, Gustavo Carneiro

WACV 2025 A Novel Perspective for Multi-Modal Multi-Label Skin Lesion Classification Yuan Zhang, Yutong Xie, Hu Wang, Jodie C Avery, M Louise Hull, Gustavo Carneiro

CVPR 2025 CLOC: Contrastive Learning for Ordinal Classification with Multi-Margin N-Pair Loss Dileepa Pitawela, Gustavo Carneiro, Hsiang-Ting Chen

TMLR 2025 Maximising the Utility of Validation Sets for Imbalanced Noisy-Label Meta-Learning Hoang Anh Dung, Cuong C. Nguyen, Vasileios Belagiannis, Thanh-Toan Do, Gustavo Carneiro

ICLR 2025 Probabilistic Learning to Defer: Handling Missing Expert Annotations and Controlling Workload Distribution Cuong C. Nguyen, Thanh-Toan Do, Gustavo Carneiro

ECCV 2024 Bayesian Detector Combination for Object Detection with Crowdsourced Annotations Zhi Qin Tan, Olga Isupova, Gustavo Carneiro, Xiatian Zhu, Yunpeng Li

ECCV 2024 CPM: Class-Conditional Prompting Machine for Audio-Visual Segmentation Yuanhong Chen, Chong Wang, Yuyuan Liu, Hu Wang, Gustavo Carneiro

CoLLAs 2024 Consistency Regularisation for Unsupervised Domain Adaptation in Monocular Depth Estimation Amir El-Ghoussani, Julia Hornauer, Gustavo Carneiro, Vasileios Belagiannis

WACV 2024 Frequency Attention for Knowledge Distillation Cuong Pham, Van-Anh Nguyen, Trung Le, Dinh Phung, Gustavo Carneiro, Thanh-Toan Do

ECCV 2024 Instance-Dependent Noisy-Label Learning with Graphical Model Based Noise-Rate Estimation Arpit Garg, Cuong Cao Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro

ECCV 2024 ItTakesTwo: Leveraging Peer Representations for Semi-Supervised LiDAR Semantic Segmentation Yuyuan Liu, Yuanhong Chen, Hu Wang, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro

ECCV 2024 Learning to Complement and to Defer to Multiple Users Zheng Zhang, Wenjie Ai, Kevin Wells, David M Rosewarne, Thanh-Toan Do, Gustavo Carneiro

ECCV 2024 MetaAug: Meta-Data Augmentation for Post-Training Quantization Cuong Van Pham, Hoang Anh Dung, Cuong Cao Nguyen, Trung Le, Dinh Phung, Gustavo Carneiro, Thanh-Toan Do

CVPR 2024 Unraveling Instance Associations: A Closer Look for Audio-Visual Segmentation Yuanhong Chen, Yuyuan Liu, Hu Wang, Fengbei Liu, Chong Wang, Helen Frazer, Gustavo Carneiro

ICCV 2023 BoMD: Bag of Multi-Label Descriptors for Noisy Chest X-Ray Classification Yuanhong Chen, Fengbei Liu, Hu Wang, Chong Wang, Yuyuan Liu, Yu Tian, Gustavo Carneiro

WACV 2023 Bootstrapping the Relationship Between Images and Their Clean and Noisy Labels Brandon Smart, Gustavo Carneiro

WACV 2023 Instance-Dependent Noisy Label Learning via Graphical Modelling Arpit Garg, Cuong Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro

WACV 2023 Knowing What to Label for Few Shot Microscopy Image Cell Segmentation Youssef Dawoud, Arij Bouazizi, Katharina Ernst, Gustavo Carneiro, Vasileios Belagiannis

ICCV 2023 Learning Support and Trivial Prototypes for Interpretable Image Classification Chong Wang, Yuyuan Liu, Yuanhong Chen, Fengbei Liu, Yu Tian, Davis McCarthy, Helen Frazer, Gustavo Carneiro

NeurIPS 2023 Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning Van Cuong Pham, Cuong Nguyen, Trung Le, Dinh Phung, Gustavo Carneiro, Thanh-Toan Do

CVPR 2023 Multi-Modal Learning with Missing Modality via Shared-Specific Feature Modelling Hu Wang, Yuanhong Chen, Congbo Ma, Jodie Avery, Louise Hull, Gustavo Carneiro

ICCV 2023 Residual Pattern Learning for Pixel-Wise Out-of-Distribution Detection in Semantic Segmentation Yuyuan Liu, Choubo Ding, Yu Tian, Guansong Pang, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro

ICCVW 2023 SelectNAdapt: Support Set Selection for Few-Shot Domain Adaptation Youssef Dawoud, Gustavo Carneiro, Vasileios Belagiannis

TMLR 2023 Task Weighting in Meta-Learning with Trajectory Optimisation Cuong C. Nguyen, Thanh-Toan Do, Gustavo Carneiro

CVPR 2022 ACPL: Anti-Curriculum Pseudo-Labelling for Semi-Supervised Medical Image Classification Fengbei Liu, Yu Tian, Yuanhong Chen, Yuyuan Liu, Vasileios Belagiannis, Gustavo Carneiro

AAAI 2022 Deep One-Class Classification via Interpolated Gaussian Descriptor Yuanhong Chen, Yu Tian, Guansong Pang, Gustavo Carneiro

CVPR 2022 Perturbed and Strict Mean Teachers for Semi-Supervised Semantic Segmentation Yuyuan Liu, Yu Tian, Yuanhong Chen, Fengbei Liu, Vasileios Belagiannis, Gustavo Carneiro

ECCV 2022 Pixel-Wise Energy-Biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes Yu Tian, Yuyuan Liu, Guansong Pang, Fengbei Liu, Yuanhong Chen, Gustavo Carneiro

ECCV 2022 Uncertainty-Aware Multi-Modal Learning via Cross-Modal Random Network Prediction Hu Wang, Jianpeng Zhang, Yuanhong Chen, Congbo Ma, Jodie Avery, Louise Hull, Gustavo Carneiro

AAAI 2021 Domain Generalisation with Domain Augmented Supervised Contrastive Learning (Student Abstract) Hoang-Son Le, Rini Akmeliawati, Gustavo Carneiro

WACV 2021 EvidentialMix: Learning with Combined Open-Set and Closed-Set Noisy Labels Ragav Sachdeva, Filipe R. Cordeiro, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro

UAI 2021 Probabilistic Task Modelling for Meta-Learning Cuong C. Nguyen, Thanh-Toan Do, Gustavo Carneiro

ICCV 2021 Weakly-Supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning Yu Tian, Guansong Pang, Yuanhong Chen, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro

ECML-PKDD 2020 Few-Shot Microscopy Image Cell Segmentation Youssef Dawoud, Julia Hornauer, Gustavo Carneiro, Vasileios Belagiannis

WACV 2020 Probabilistic Object Detection: Definition and Evaluation David Hall, Feras Dayoub, John Skinner, Haoyang Zhang, Dimity Miller, Peter Corke, Gustavo Carneiro, Anelia Angelova, Niko Suenderhauf

WACV 2020 Uncertainty in Model-Agnostic Meta-Learning Using Variational Inference Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro

ICML 2019 Bayesian Generative Active Deep Learning Toan Tran, Thanh-Toan Do, Ian Reid, Gustavo Carneiro

ECCV 2018 Bayesian Semantic Instance Segmentation in Open Set World Trung Pham, Vijay B. G. Kumar, Thanh-Toan Do, Gustavo Carneiro, Ian Reid

ECCV 2018 Multi-Modal Cycle-Consistent Generalized Zero-Shot Learning Rafael Felix, Vijay B. G. Kumar, Ian Reid, Gustavo Carneiro

NeurIPS 2017 A Bayesian Data Augmentation Approach for Learning Deep Models Toan Tran, Trung Pham, Gustavo Carneiro, Lyle Palmer, Ian Reid

ICCVW 2017 Scaling CNNs for High Resolution Volumetric Reconstruction from a Single Image Adrian Johnston, Ravi Garg, Gustavo Carneiro, Ian D. Reid

ICCV 2017 Smart Mining for Deep Metric Learning Ben Harwood, B G Vijay Kumar, Gustavo Carneiro, Ian Reid, Tom Drummond

CVPR 2016 Learning Local Image Descriptors with Deep Siamese and Triplet Convolutional Networks by Minimising Global Loss Functions B G Vijay Kumar, Gustavo Carneiro, Ian Reid

WACV 2016 On the Importance of Normalisation Layers in Deep Learning with Piecewise Linear Activation Units Zhibin Liao, Gustavo Carneiro

ECCV 2016 Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue Ravi Garg, B. G. Vijay Kumar, Gustavo Carneiro, Ian D. Reid

ICCV 2015 Robust Optimization for Deep Regression Vasileios Belagiannis, Christian Rupprecht, Gustavo Carneiro, Nassir Navab

ICCV 2015 Weakly-Supervised Structured Output Learning with Flexible and Latent Graphs Using High-Order Loss Functions Gustavo Carneiro, Tingying Peng, Christine Bayer, Nassir Navab

ECCVW 2014 Artistic Image Analysis Using the Composition of Human Figures Qian Chen, Gustavo Carneiro

CVPR 2014 Fully Automated Non-Rigid Segmentation with Distance Regularized Level Set Evolution Initialized and Constrained by Deep-Structured Inference Tuan Anh Ngo, Gustavo Carneiro

CVPR 2014 Non-Rigid Segmentation Using Sparse Low Dimensional Manifolds and Deep Belief Networks Jacinto C. Nascimento, Gustavo Carneiro

CVPR 2013 Top-Down Segmentation of Non-Rigid Visual Objects Using Derivative-Based Search on Sparse Manifolds Jacinto C. Nascimento, Gustavo Carneiro

ECCV 2012 Artistic Image Classification: An Analysis on the PRINTART Database Gustavo Carneiro, Nuno Pinho da Silva, Alessio Del Bue, João Paulo Costeira

ECCV 2012 In Defence of RANSAC for Outlier Rejection in Deformable Registration Quoc-Huy Tran, Tat-Jun Chin, Gustavo Carneiro, Michael S. Brown, David Suter

CVPR 2012 The Use of On-Line Co-Training to Reduce the Training Set Size in Pattern Recognition Methods: Application to Left Ventricle Segmentation in Ultrasound Gustavo Carneiro, Jacinto C. Nascimento

ICCV 2011 Incremental On-Line Semi-Supervised Learning for Segmenting the Left Ventricle of the Heart from Ultrasound Data Gustavo Carneiro, Jacinto C. Nascimento

CVPR 2010 Multiple Dynamic Models for Tracking the Left Ventricle of the Heart from Ultrasound Data Using Particle Filters and Deep Learning Architectures Gustavo Carneiro, Jacinto C. Nascimento

CVPR 2010 The Automatic Design of Feature Spaces for Local Image Descriptors Using an Ensemble of Non-Linear Feature Extractors Gustavo Carneiro

CVPR 2008 Semantic-Based Indexing of Fetal Anatomies from 3-D Ultrasound Data Using Global/semi-Local Context and Sequential Sampling Gustavo Carneiro, Fernando Amat, Bogdan Georgescu, Sara Good, Dorin Comaniciu

ICCV 2007 A Probabilistic, Hierarchical, and Discriminant Framework for Rapid and Accurate Detection of Deformable Anatomic Structure Shaohua Kevin Zhou, Feng Guo, Gustavo Carneiro, John Jackson, M. Brendel, Costas Simopoulos, Joanne Otsuki, Dorin Comaniciu

ECCV 2006 Sparse Flexible Models of Local Features Gustavo Carneiro, David Lowe

CVPR 2006 Weakly Supervised Top-Down Image Segmentation Manuela Vasconcelos, Nuno Vasconcelos, Gustavo Carneiro

CVPR 2005 Formulating Semantic Image Annotation as a Supervised Learning Problem Gustavo Carneiro, Nuno Vasconcelos

CVPR 2005 The Distinctiveness, Detectability, and Robustness of Local Image Features Gustavo Carneiro, Allan D. Jepson

CVPR 2004 Flexible Spatial Models for Grouping Local Image Features Gustavo Carneiro, Allan D. Jepson

CVPR 2003 Multi-Scale Phase-Based Local Features Gustavo Carneiro, Allan D. Jepson

ECCV 2002 Phase-Based Local Features Gustavo Carneiro, Allan D. Jepson

ECCV 2002 What Is the Role of Independence for Visual Recognition? Nuno Vasconcelos, Gustavo Carneiro