| 2026 | AAAI | Coverage-Constrained Human-AI Cooperation with Multiple Experts. | Zheng Zhang, Cuong C. Nguyen, Kevin Wells, Thanh-Toan Do, David Rosewarne, Gustavo Carneiro |
| 2026 | ACL | Layer-Wise High-Impact Parameter Ratio Optimization in Post-Training Quantization for Large Language Models. | Cuong Pham, Dung Anh Hoang, Cuong C. Nguyen, Trung Le, Gustavo Carneiro, Thanh-Toan Do |
| 2026 | WACV | Reciprocal Teaching: Dynamic Multi-Model Teacher-Student Learning for Multiple Noisy Annotations. | Wenjie Ai, Cuong C. Nguyen, Adrian Hilton, Gustavo Carneiro |
| 2025 | CVPR | CLOC: Contrastive Learning for Ordinal Classification with Multi-Margin N-pair Loss. | Dileepa Pitawela, Gustavo Carneiro, Hsiang-Ting Chen |
| 2025 | ICLR | Probabilistic Learning to Defer: Handling Missing Expert Annotations and Controlling Workload Distribution. | Cuong C. Nguyen, Thanh-Toan Do, Gustavo Carneiro |
| 2025 | MICCAI | Risk Estimation of Knee Osteoarthritis Progression via Predictive Multi-task Modelling from Efficient Diffusion Model Using X-Ray Images. | David Butler, Adrian Hilton, Gustavo Carneiro |
| 2025 | WACV | 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 |
| 2024 | CVPR | Unraveling Instance Associations: A Closer Look for Audio-Visual Segmentation. | Yuanhong Chen, Yuyuan Liu, Hu Wang, Fengbei Liu, Chong Wang, Helen Frazer, Gustavo Carneiro |
| 2024 | ECCV | CPM: Class-Conditional Prompting Machine for Audio-Visual Segmentation. | Yuanhong Chen, Chong Wang, Yuyuan Liu, Hu Wang, Gustavo Carneiro |
| 2024 | ECCV | Instance-Dependent Noisy-Label Learning with Graphical Model Based Noise-Rate Estimation. | Arpit Garg, Cuong Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro |
| 2024 | ECCV | ItTakesTwo: Leveraging Peer Representations for Semi-supervised LiDAR Semantic Segmentation. | Yuyuan Liu, Yuanhong Chen, Hu Wang, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro |
| 2024 | ECCV | MetaAug: Meta-data Augmentation for Post-training Quantization. | Cuong Pham, Hoang Anh Dung, Cuong C. Nguyen, Trung Le, Dinh Phung, Gustavo Carneiro, Thanh-Toan Do |
| 2024 | ECCV | Bayesian Detector Combination for Object Detection with Crowdsourced Annotations. | Zhi Qin Tan, Olga Isupova, Gustavo Carneiro, Xiatian Zhu, Yunpeng Li |
| 2024 | ECCV | Learning to Complement and to Defer to Multiple Users. | Zheng Zhang, Wenjie Ai, Kevin Wells, David Rosewarne, Thanh-Toan Do, Gustavo Carneiro |
| 2024 | ICPR | Effects of Primary Capsule Shapes and Sizes in Capsule Networks. | William Tapper, Gustavo Carneiro, Mohammad Hussein, Phillip Evans, Spencer Angus Thomas |
| 2024 | WACV | Frequency Attention for Knowledge Distillation. | Cuong Pham, Van-Anh Nguyen, Trung Le, Dinh Q. Phung, Gustavo Carneiro, Thanh-Toan Do |
| 2023 | CVPR | Multi-Modal Learning with Missing Modality via Shared-Specific Feature Modelling. | Hu Wang, Yuanhong Chen, Congbo Ma, Jodie Avery, Louise Hull, Gustavo Carneiro |
| 2023 | ICCV | 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 |
| 2023 | ICCV | Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation. | Yuyuan Liu, Choubo Ding, Yu Tian, Guansong Pang, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro |
| 2023 | ICCV | Learning Support and Trivial Prototypes for Interpretable Image Classification. | Chong Wang, Yuyuan Liu, Yuanhong Chen, Fengbei Liu, Yu Tian, Davis J. McCarthy, Helen Frazer, Gustavo Carneiro |
| 2023 | MICCAI | Multi-Head Multi-Loss Model Calibration. | Adrian Galdran, Johan W. Verjans, Gustavo Carneiro, Miguel ngel Gonzlez Ballester |
| 2023 | MICCAI | Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality. | Hu Wang, Congbo Ma, Jianpeng Zhang, Yuan Zhang, Jodie Avery, Louise Hull, Gustavo Carneiro |
| 2023 | WACV | Knowing What to Label for Few Shot Microscopy Image Cell Segmentation. | Youssef Dawoud, Arij Bouazizi, Katharina Ernst, Gustavo Carneiro, Vasileios Belagiannis |
| 2023 | WACV | Instance-Dependent Noisy Label Learning via Graphical Modelling. | Arpit Garg, Cuong Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro |
| 2023 | WACV | Bootstrapping the Relationship Between Images and Their Clean and Noisy Labels. | Brandon Smart, Gustavo Carneiro |
| 2022 | AAAI | Deep One-Class Classification via Interpolated Gaussian Descriptor. | Yuanhong Chen, Yu Tian, Guansong Pang, Gustavo Carneiro |
| 2022 | CVPR | Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation. | Yuyuan Liu, Yu Tian, Yuanhong Chen, Fengbei Liu, Vasileios Belagiannis, Gustavo Carneiro |
| 2022 | CVPR | ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification. | Fengbei Liu, Yu Tian, Yuanhong Chen, Yuyuan Liu, Vasileios Belagiannis, Gustavo Carneiro |
| 2022 | ECCV | 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 |
| 2022 | ECCV | 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 |
| 2022 | ICIP | Mixup-Based Deep Metric Learning Approaches for Incomplete Supervision. | Luiz H. Buris, Daniel C. G. Pedronette, Joo P. Papa, Jurandy Almeida, Gustavo Carneiro, Fbio Augusto Faria |
| 2022 | MICCAI | Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation. | Yuanhong Chen, Hu Wang, Chong Wang, Yu Tian, Fengbei Liu, Yuyuan Liu, Michael Elliott, Davis J. McCarthy, Helen Frazer, Gustavo Carneiro |
| 2022 | MICCAI | Edge-Based Self-supervision for Semi-supervised Few-Shot Microscopy Image Cell Segmentation. | Youssef Dawoud, Katharina Ernst, Gustavo Carneiro, Vasileios Belagiannis |
| 2022 | MICCAI | On the Optimal Combination of Cross-Entropy and Soft Dice Losses for Lesion Segmentation with Out-of-Distribution Robustness. | Adrian Galdran, Gustavo Carneiro, Miguel ngel Gonzlez Ballester |
| 2022 | MICCAI | Test Time Transform Prediction for Open Set Histopathological Image Recognition. | Adrian Galdran, Katherine Jane Hewitt, Narmin Ghaffari Laleh, Jakob Nikolas Kather, Gustavo Carneiro, Miguel ngel Gonzlez Ballester |
| 2022 | MICCAI | Censor-Aware Semi-supervised Learning for Survival Time Prediction from Medical Images. | Renato Hermoza, Gabriel Maicas, Jacinto C. Nascimento, Gustavo Carneiro |
| 2022 | MICCAI | NVUM: Non-volatile Unbiased Memory for Robust Medical Image Classification. | Fengbei Liu, Yuanhong Chen, Yu Tian, Yuyuan Liu, Chong Wang, Vasileios Belagiannis, Gustavo Carneiro |
| 2022 | MICCAI | Contrastive Transformer-Based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection. | Yu Tian, Guansong Pang, Fengbei Liu, Yuyuan Liu, Chong Wang, Yuanhong Chen, Johan Verjans, Gustavo Carneiro |
| 2022 | MICCAI | Knowledge Distillation to Ensemble Global and Interpretable Prototype-Based Mammogram Classification Models. | Chong Wang, Yuanhong Chen, Yuyuan Liu, Yu Tian, Fengbei Liu, Davis J. McCarthy, Michael Elliott, Helen Frazer, Gustavo Carneiro |
| 2021 | AAAI | Domain Generalisation with Domain Augmented Supervised Contrastive Learning (Student Abstract). | Hoang-Son Le, Rini Akmeliawati, Gustavo Carneiro |
| 2021 | BMVC | PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels. | Filipe Rolim Cordeiro, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro |
| 2021 | DICTA | Combining Data Augmentation and Domain Distance Minimisation to Reduce Domain Generalisation Error. | Hoang-Son Le, Rini Akmeliawati, Gustavo Carneiro |
| 2021 | DICTA | A Chaos Theory Approach to Understand Neural Network Optimization. | Michele Sasdelli, Thalaiyasingam Ajanthan, Tat-Jun Chin, Gustavo Carneiro |
| 2021 | ICCV | Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning. | Yu Tian, Guansong Pang, Yuanhong Chen, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro |
| 2021 | MICCAI | Balanced-MixUp for Highly Imbalanced Medical Image Classification. | Adrian Galdran, Gustavo Carneiro, Miguel ngel Gonzlez Ballester |
| 2021 | MICCAI | Convolutional Nets Versus Vision Transformers for Diabetic Foot Ulcer Classification. | Adrian Galdran, Gustavo Carneiro, Miguel ngel Gonzlez Ballester |
| 2021 | MICCAI | 3D Semantic Mapping from Arthroscopy Using Out-of-Distribution Pose and Depth and In-Distribution Segmentation Training. | Yaqub Jonmohamadi, Shahnewaz Ali, Fengbei Liu, Jonathan Roberts, Ross Crawford, Gustavo Carneiro, Ajay K. Pandey |
| 2021 | MICCAI | Self-supervised Mean Teacher for Semi-supervised Chest X-Ray Classification. | Fengbei Liu, Yu Tian, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro |
| 2021 | MICCAI | Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images. | Yu Tian, Guansong Pang, Fengbei Liu, Yuanhong Chen, Seon-Ho Shin, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro |
| 2021 | MICCAI | Self-Supervised Lesion Change Detection and Localisation in Longitudinal Multiple Sclerosis Brain Imaging. | Minh-Son To, Ian G. Sarno, Chee Chong, Mark Jenkinson, Gustavo Carneiro |
| 2021 | WACV | EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels. | Ragav Sachdeva, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro |
| 2021 | UAI | Probabilistic task modelling for meta-learning. | Cuong Cao Nguyen, Thanh-Toan Do, Gustavo Carneiro |
| 2020 | ACCV | Augmentation Network for Generalised Zero-Shot Learning. | Rafael Felix, Michele Sasdelli, Ian D. Reid, Gustavo Carneiro |
| 2020 | BMVC | Deep Metric Learning Meets Deep Clustering: An Novel Unsupervised Approach for Feature Embedding. | Binh X. Nguyen, Binh D. Nguyen, Gustavo Carneiro, Erman Tjiputra, Quang D. Tran, Thanh-Toan Do |
| 2020 | CVPR | Self-Supervised Monocular Trained Depth Estimation Using Self-Attention and Discrete Disparity Volume. | Adrian Johnston, Gustavo Carneiro |
| 2020 | DICTA | Generalised Zero-shot Learning with Multi-modal Embedding Spaces. | Rafael Felix, Michele Sasdelli, Ben Harwood, Gustavo Carneiro |
| 2020 | ICPR | Creating Classifier Ensembles through Meta-heuristic Algorithms for Aerial Scene Classification. | lvaro R. Ferreira, Gustavo Henrique de Rosa, Joo P. Papa, Gustavo Carneiro, Fbio Augusto Faria |
| 2020 | ICPR | Double Encoder-Decoder Networks for Gastrointestinal Polyp Segmentation. | Adrian Galdran, Gustavo Carneiro, Miguel ngel Gonzlez Ballester |
| 2020 | ICPR | A Hierarchical Multi-task Approach to Gastrointestinal Image Analysis. | Adrian Galdran, Gustavo Carneiro, Miguel ngel Gonzlez Ballester |
| 2020 | MICCAI | Region Proposals for Saliency Map Refinement for Weakly-Supervised Disease Localisation and Classification. | Renato Hermoza, Gabriel Maicas, Jacinto C. Nascimento, Gustavo Carneiro |
| 2020 | MICCAI | Self-supervised Depth Estimation to Regularise Semantic Segmentation in Knee Arthroscopy. | Fengbei Liu, Yaqub Jonmohamadi, Gabriel Maicas, Ajay K. Pandey, Gustavo Carneiro |
| 2020 | MICCAI | Few-Shot Anomaly Detection for Polyp Frames from Colonoscopy. | Yu Tian, Gabriel Maicas, Leonardo Zorron Cheng Tao Pu, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro |
| 2020 | WACV | Probabilistic Object Detection: Definition and Evaluation. | David Hall, Feras Dayoub, John Skinner, Haoyang Zhang, Dimity Miller, Peter Corke, Gustavo Carneiro, Anelia Angelova, Niko Snderhauf |
| 2020 | WACV | Uncertainty in Model-Agnostic Meta-Learning using Variational Inference. | Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro |
| 2019 | CVPR | A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning. | Thanh-Toan Do, Toan Tran, Ian D. Reid, B. G. Vijay Kumar, Tuan Hoang, Gustavo Carneiro |
| 2019 | DICTA | Generalised Zero-Shot Learning with Domain Classification in a Joint Semantic and Visual Space. | Rafael Felix, Ben Harwood, Michele Sasdelli, Gustavo Carneiro |
| 2019 | DICTA | Single View 3D Point Cloud Reconstruction using Novel View Synthesis and Self-Supervised Depth Estimation. | Adrian Johnston, Gustavo Carneiro |
| 2019 | ICML | Bayesian Generative Active Deep Learning. | Toan Tran, Thanh-Toan Do, Ian D. Reid, Gustavo Carneiro |
| 2018 | ECCV | Multi-modal Cycle-Consistent Generalized Zero-Shot Learning. | Rafael Felix, B. G. Vijay Kumar, Ian D. Reid, Gustavo Carneiro |
| 2018 | ECCV | Bayesian Semantic Instance Segmentation in Open Set World. | Trung Pham, B. G. Vijay Kumar, Thanh-Toan Do, Gustavo Carneiro, Ian D. Reid |
| 2018 | MICCAI | Training Medical Image Analysis Systems like Radiologists. | Gabriel Maicas, Andrew P. Bradley, Jacinto C. Nascimento, Ian D. Reid, Gustavo Carneiro |
| 2017 | DICTA | Region of Interest Autoencoders with an Application to Pedestrian Detection. | Jerome Williams, Gustavo Carneiro, David Suter |
| 2017 | IBPRIA | Multi-channel Convolutional Neural Network Ensemble for Pedestrian Detection. | David Ribeiro, Gustavo Carneiro, Jacinto C. Nascimento, Alexandre Bernardino |
| 2017 | ICCV | Smart Mining for Deep Metric Learning. | Ben Harwood, Vijay Kumar B. G, Gustavo Carneiro, Ian D. Reid, Tom Drummond |
| 2017 | ICIP | Mass segmentation in mammograms: A cross-sensor comparison of deep and tailored features. | Jaime S. Cardoso, Nuno Marques, Neeraj Dhungel, Gustavo Carneiro, Andrew P. Bradley |
| 2017 | MICCAI | Deep Reinforcement Learning for Active Breast Lesion Detection from DCE-MRI. | Gabriel Maicas, Gustavo Carneiro, Andrew P. Bradley, Jacinto C. Nascimento, Ian D. Reid |
| 2016 | CVPR | Learning Local Image Descriptors with Deep Siamese and Triplet Convolutional Networks by Minimizing Global Loss Functions. | Vijay Kumar B. G, Gustavo Carneiro, Ian D. Reid |
| 2016 | ECCV | Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue. | Ravi Garg, B. G. Vijay Kumar, Gustavo Carneiro, Ian D. Reid |
| 2016 | ITS | CRISTAL: Adapting Workplace Training to the Real World Context with an Intelligent Simulator for Radiology Trainees. | Hope Lee, Amali Weerasinghe, Jayden Barnes, Luke Oakden-Rayner, William Gale, Gustavo Carneiro |
| 2016 | MICCAI | The Automated Learning of Deep Features for Breast Mass Classification from Mammograms. | Neeraj Dhungel, Gustavo Carneiro, Andrew P. Bradley |
| 2016 | WACV | On the importance of normalisation layers in deep learning with piecewise linear activation units. | Zhibin Liao, Gustavo Carneiro |
| 2015 | DICTA | Automated Mass Detection in Mammograms Using Cascaded Deep Learning and Random Forests. | Neeraj Dhungel, Gustavo Carneiro, Andrew P. Bradley |
| 2015 | DICTA | 3-D Modeling from Concept Sketches of Human Characters with Minimal User Interaction. | Adrian Johnston, Gustavo Carneiro, Ren Ding, Luiz Velho |
| 2015 | ICCV | Robust Optimization for Deep Regression. | Vasileios Belagiannis, Christian Rupprecht, Gustavo Carneiro, Nassir Navab |
| 2015 | ICCV | Weakly-Supervised Structured Output Learning with Flexible and Latent Graphs Using High-Order Loss Functions. | Gustavo Carneiro, Tingying Peng, Christine Bayer, Nassir Navab |
| 2015 | ICIP | Automatic detection of necrosis, normoxia and hypoxia in tumors from multimodal cytological images. | Gustavo Carneiro, Tingying Peng, Christine Bayer, Nassir Navab |
| 2015 | ICIP | Deep structured learning for mass segmentation from mammograms. | Neeraj Dhungel, Gustavo Carneiro, Andrew P. Bradley |
| 2015 | ICIP | The use of deep learning features in a hierarchical classifier learned with the minimization of a non-greedy loss function that delays gratification. | Zhibin Liao, Gustavo Carneiro |
| 2015 | ICIP | Towards reduction of the training and search running time complexities for non-rigid object segmentation. | Jacinto C. Nascimento, Gustavo Carneiro |
| 2015 | ICIP | Lung segmentation in chest radiographs using distance regularized level set and deep-structured learning and inference. | Tuan Anh Ngo, Gustavo Carneiro |
| 2015 | MICCAI | Unregistered Multiview Mammogram Analysis with Pre-trained Deep Learning Models. | Gustavo Carneiro, Jacinto C. Nascimento, Andrew P. Bradley |
| 2015 | MICCAI | Flexible and Latent Structured Output Learning - Application to Histology. | Gustavo Carneiro, Tingying Peng, Christine Bayer, Nassir Navab |
| 2015 | MICCAI | Deep Learning and Structured Prediction for the Segmentation of Mass in Mammograms. | Neeraj Dhungel, Gustavo Carneiro, Andrew P. Bradley |
| 2014 | CVPR | Non-rigid Segmentation Using Sparse Low Dimensional Manifolds and Deep Belief Networks. | Jacinto C. Nascimento, Gustavo Carneiro |
| 2014 | CVPR | Fully Automated Non-rigid Segmentation with Distance Regularized Level Set Evolution Initialized and Constrained by Deep-Structured Inference. | Tuan Anh Ngo, Gustavo Carneiro |
| 2014 | ECCV | Artistic Image Analysis Using the Composition of Human Figures. | Qian Chen, Gustavo Carneiro |
| 2013 | CVPR | Top-Down Segmentation of Non-rigid Visual Objects Using Derivative-Based Search on Sparse Manifolds. | Jacinto C. Nascimento, Gustavo Carneiro |
| 2013 | DICTA | Closed-Loop Deep Vision. | Gustavo Carneiro, Zhibin Liao, Tat-Jun Chin |
| 2013 | DICTA | Point Correspondence Validation under Unknown Radial Distortion. | William X. Liu, Tat-Jun Chin, Gustavo Carneiro, David Suter |
| 2013 | ICIP | Combining a bottom up and top down classifiers for the segmentation of the left ventricle from cardiac imagery. | Jacinto C. Nascimento, Gustavo Carneiro |
| 2013 | ICIP | Left ventricle segmentation from cardiac MRI combining level set methods with deep belief networks. | Tuan Anh Ngo, Gustavo Carneiro |
| 2013 | IFSA | Fuzzy clustering based encoding for Visual Object Classification. | Danilo Dell'Agnello, Gustavo Carneiro, Tat-Jun Chin, Giovanna Castellano, Anna Maria Fanelli |
| 2013 | MICCAI | Automated Nucleus and Cytoplasm Segmentation of Overlapping Cervical Cells. | Zhi Lu, Gustavo Carneiro, Andrew P. Bradley |
| 2012 | CVPR | 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 |
| 2012 | ECCV | Artistic Image Classification: An Analysis on the PRINTART Database. | Gustavo Carneiro, Nuno Pinho da Silva, Alessio Del Bue, Joo Paulo Costeira |
| 2012 | ECCV | In Defence of RANSAC for Outlier Rejection in Deformable Registration. | Quoc-Huy Tran, Tat-Jun Chin, Gustavo Carneiro, Michael S. Brown, David Suter |
| 2012 | ICIP | On-line re-training and segmentation with reduction of the training set: Application to the left ventricle detection in ultrasound imaging. | Jacinto C. Nascimento, Gustavo Carneiro |
| 2011 | ICCV | Incremental on-line semi-supervised learning for segmenting the left ventricle of the heart from ultrasound data. | Gustavo Carneiro, Jacinto C. Nascimento |
| 2011 | ICIP | Reducing the training set using semi-supervised self-training algorithm for segmenting the left ventricle in ultrasound images. | Jacinto C. Nascimento, Gustavo Carneiro |
| 2010 | CVPR | The automatic design of feature spaces for local image descriptors using an ensemble of non-linear feature extractors. | Gustavo Carneiro |
| 2010 | CVPR | 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 |
| 2010 | ICIP | Efficient search methods and deep belief networks with particle filtering for non-rigid tracking: Application to lip tracking. | Jacinto C. Nascimento, Gustavo Carneiro |
| 2010 | ICPR | A Comparative Study on the Use of an Ensemble of Feature Extractors for the Automatic Design of Local Image Descriptors. | Gustavo Carneiro |
| 2010 | ICPR | The Fusion of Deep Learning Architectures and Particle Filtering Applied to Lip Tracking. | Gustavo Carneiro, Jacinto C. Nascimento |
| 2009 | MICCAI | Fast and Robust 3-D MRI Brain Structure Segmentation. | Michael Wels, Yefeng Zheng, Gustavo Carneiro, Martin Huber, Joachim Hornegger, Dorin Comaniciu |
| 2008 | CVPR | 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 |
| 2008 | MICCAI | A Discriminative Model-Constrained Graph Cuts Approach to Fully Automated Pediatric Brain Tumor Segmentation in 3-D MRI. | Michael Wels, Gustavo Carneiro, Alexander Aplas, Martin Huber, Joachim Hornegger, Dorin Comaniciu |
| 2007 | ICCV | 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 |
| 2007 | MICCAI | Automatic Fetal Measurements in Ultrasound Using Constrained Probabilistic Boosting Tree. | Gustavo Carneiro, Bogdan Georgescu, Sara Good, Dorin Comaniciu |
| 2007 | MSWIM | Integration of mobility and qos in 4g scenarios. | Vitor Jesus, Susana Sargento, Miguel Almeida, Daniel Corujo, Rui L. Aguiar, Janusz Gozdecki, Gustavo Carneiro, Albert Banchs, Pablo Yez-Mingot |
| 2006 | CVPR | Weakly Supervised Top-down Image Segmentation. | Manuela Vasconcelos, Nuno Vasconcelos, Gustavo Carneiro |
| 2006 | ECCV | Sparse Flexible Models of Local Features. | Gustavo Carneiro, David Lowe |
| 2005 | CVPR | The Distinctiveness, Detectability, and Robustness of Local Image Features. | Gustavo Carneiro, Allan D. Jepson |
| 2005 | CVPR | Formulating Semantic Image Annotation as a Supervised Learning Problem. | Gustavo Carneiro, Nuno Vasconcelos |
| 2005 | PIMRC | Robust header compression in 4G networks with QoS support. | Pedro Fortuna, Gustavo Carneiro, Manuel Ricardo |
| 2005 | SIGIR | A database centric view of semantic image annotation and retrieval. | Gustavo Carneiro, Nuno Vasconcelos |
| 2004 | CVPR | Flexible Spatial Models for Grouping Local Image Features. | Gustavo Carneiro, Allan D. Jepson |
| 2004 | ICPR | Pruning Local Feature Correspondences Using Shape Context. | Gustavo Carneiro, Allan D. Jepson |
| 2003 | CVPR | Multi-scale Phase-based Local Features. | Gustavo Carneiro, Allan D. Jepson |
| 2002 | ECCV | Phase-Based Local Features. | Gustavo Carneiro, Allan D. Jepson |
| 2002 | ECCV | What Is the Role of Independence for Visual Recognition? | Nuno Vasconcelos, Gustavo Carneiro |
| 2002 | PIMRC | Support of IP QoS over UMTS networks. | Manuel Ricardo, Jaime Dias, Gustavo Carneiro, Jos Ruela |