← Authors

Gustavo Carneiro

46 papers · 2013–2026 · 10 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (15) 🌍 Conference Polyglot (10) πŸƒ Academic Marathon (13) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (69) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🀝 Dynamic Duo (12) πŸ† Grand Slam πŸ† Keyword Champion πŸ’Ž Century Club (45) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (159) πŸ”₯ Unstoppable (14) ⚑ Prolific Year (8) πŸš€ Conference Pioneer

Conferences

CVPR (11) ECCV (10) WACV (9) ICCV (7) AAAI (3) NIPS (2) ICLR (1) ICML (1) MICCAI (1) UAI (1)

Top co-authors

Thanh-Toan Do (13) Yuanhong Chen (12) Ian Reid (10) Yuyuan Liu (9) Yu Tian (8) Vasileios Belagiannis (7) Hu Wang (7) Fengbei Liu (6) Chong Wang (4) Cuong C. Nguyen (4)

Keywords

data augmentation (4) contrastive learning (4) noisy label learning (4) semantic segmentation (3) deep learning (3) convolutional neural network (3) multi-label classification (3) medical imaging (3) weakly supervised learning (3) semi-supervised learning (3) non-rigid segmentation (3) medical image segmentation (3) few-shot learning (2) generative model (2) deep belief network (2) multi-modal learning (2) self-supervised learning (2) bayesian inference (2) image segmentation (2) uncertainty quantification (2)

Papers

Reciprocal Teaching: Dynamic Multi-Model Teacher-Student Learning for Multiple Noisy Annotations WACV 2026
Coverage-Constrained Human-AI Cooperation with Multiple Experts AAAI 2026
Risk Estimation of Knee Osteoarthritis Progression via Predictive Multi-task Modelling from Efficient Diffusion Model using X-ray Images MICCAI 2025
CLOC: Contrastive Learning for Ordinal Classification with Multi-Margin N-pair Loss CVPR 2025
Probabilistic Learning to Defer: Handling Missing Expert Annotations and Controlling Workload Distribution ICLR 2025
A Novel Perspective for Multi-Modal Multi-Label Skin Lesion Classification WACV 2025
MetaAug: Meta-Data Augmentation for Post-Training Quantization ECCV 2024
Learning to Complement and to Defer to Multiple Users ECCV 2024
Bayesian Detector Combination for Object Detection with Crowdsourced Annotations ECCV 2024
Frequency Attention for Knowledge Distillation WACV 2024
Unraveling Instance Associations: A Closer Look for Audio-Visual Segmentation CVPR 2024
ItTakesTwo: Leveraging Peer Representations for Semi-supervised LiDAR Semantic Segmentation ECCV 2024
Instance-dependent Noisy-label Learning with Graphical Model Based Noise-rate Estimation ECCV 2024
CPM: Class-conditional Prompting Machine for Audio-visual Segmentation ECCV 2024
Knowing What To Label for Few Shot Microscopy Image Cell Segmentation WACV 2023
Bootstrapping the Relationship Between Images and Their Clean and Noisy Labels WACV 2023
BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification ICCV 2023
Learning Support and Trivial Prototypes for Interpretable Image Classification ICCV 2023
Instance-Dependent Noisy Label Learning via Graphical Modelling WACV 2023
Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning NIPS 2023
Multi-Modal Learning With Missing Modality via Shared-Specific Feature Modelling CVPR 2023
Residual Pattern Learning for Pixel-Wise Out-of-Distribution Detection in Semantic Segmentation ICCV 2023
Pixel-Wise Energy-Biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes ECCV 2022
Deep One-Class Classification via Interpolated Gaussian Descriptor AAAI 2022
ACPL: Anti-Curriculum Pseudo-Labelling for Semi-Supervised Medical Image Classification CVPR 2022
Perturbed and Strict Mean Teachers for Semi-Supervised Semantic Segmentation CVPR 2022
Uncertainty-Aware Multi-modal Learning via Cross-Modal Random Network Prediction ECCV 2022
Probabilistic task modelling for meta-learning UAI 2021
Weakly-Supervised Video Anomaly Detection With Robust Temporal Feature Magnitude Learning ICCV 2021
Domain Generalisation with Domain Augmented Supervised Contrastive Learning (Student Abstract) AAAI 2021
EvidentialMix: Learning With Combined Open-Set and Closed-Set Noisy Labels WACV 2021
Probabilistic Object Detection: Definition and Evaluation WACV 2020
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference WACV 2020
Self-Supervised Monocular Trained Depth Estimation Using Self-Attention and Discrete Disparity Volume CVPR 2020
Bayesian Generative Active Deep Learning ICML 2019
A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning CVPR 2019
Bayesian Semantic Instance Segmentation in Open Set World ECCV 2018
Multi-modal Cycle-consistent Generalized Zero-Shot Learning ECCV 2018
Smart Mining for Deep Metric Learning ICCV 2017
A Bayesian Data Augmentation Approach for Learning Deep Models NIPS 2017
Learning Local Image Descriptors With Deep Siamese and Triplet Convolutional Networks by Minimising Global Loss Functions CVPR 2016
Weakly-Supervised Structured Output Learning With Flexible and Latent Graphs Using High-Order Loss Functions ICCV 2015
Robust Optimization for Deep Regression ICCV 2015
Fully Automated Non-rigid Segmentation with Distance Regularized Level Set Evolution Initialized and Constrained by Deep-structured Inference CVPR 2014
Non-rigid Segmentation using Sparse Low Dimensional Manifolds and Deep Belief Networks CVPR 2014
Top-Down Segmentation of Non-rigid Visual Objects Using Derivative-Based Search on Sparse Manifolds CVPR 2013