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09/04/2023
DiffHPE: Robust, Coherent 3D Human Pose Lifting with Diffusion
We present an innovative approach to 3D Human Pose Estimation (3D-HPE) b...
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08/14/2023
The Performance of Transferability Metrics does not Translate to Medical Tasks
Transfer learning boosts the performance of medical image analysis by en...
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08/10/2023
Test-Time Selection for Robust Skin Lesion Analysis
Skin lesion analysis models are biased by artifacts placed during image ...
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06/22/2023
Slimmable Encoders for Flexible Split DNNs in Bandwidth and Resource Constrained IoT Systems
The execution of large deep neural networks (DNN) at mobile edge devices...
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05/09/2023
Even Small Correlation and Diversity Shifts Pose Dataset-Bias Issues
Distribution shifts are common in real-world datasets and can affect the...
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08/20/2022
Artifact-Based Domain Generalization of Skin Lesion Models
Deep Learning failure cases are abundant, particularly in the medical ar...
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06/01/2022
A Survey on Deep Learning for Skin Lesion Segmentation
Skin cancer is a major public health problem that could benefit from com...
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06/17/2021
An Evaluation of Self-Supervised Pre-Training for Skin-Lesion Analysis
Self-supervised pre-training appears as an advantageous alternative to s...
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05/03/2021
Single-Training Collaborative Object Detectors Adaptive to Bandwidth and Computation
In the past few years, mobile deep-learning deployment progressed by lea...
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04/20/2021
GAN-Based Data Augmentation and Anonymization for Skin-Lesion Analysis: A Critical Review
Despite the growing availability of high-quality public datasets, the la...
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06/24/2020
Insights from the Future for Continual Learning
Continual learning aims to learn tasks sequentially, with (often severe)...
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04/28/2020
Less is More: Sample Selection and Label Conditioning Improve Skin Lesion Segmentation
Segmenting skin lesions images is relevant both for itself and for assis...
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04/28/2020
Small-Task Incremental Learning
Lifelong learning has attracted much attention, but existing works still...
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04/23/2020
Debiasing Skin Lesion Datasets and Models? Not So Fast
Data-driven models are now deployed in a plethora of real-world applicat...
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11/23/2019
Compressing Representations for Embedded Deep Learning
Despite recent advances in architectures for mobile devices, deep learni...
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10/29/2019
The Six Fronts of the Generative Adversarial Networks
Generative Adversarial Networks fostered a newfound interest in generati...
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06/06/2019
Handling Inter-Annotator Agreement for Automated Skin Lesion Segmentation
In this work, we explore the issue of the inter-annotator agreement for ...
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04/29/2019
Solo or Ensemble? Choosing a CNN Architecture for Melanoma Classification
Convolutional neural networks (CNNs) deliver exceptional results for com...
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04/18/2019
(De)Constructing Bias on Skin Lesion Datasets
Melanoma is the deadliest form of skin cancer. Automated skin lesion ana...
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02/08/2019
Skin Lesion Synthesis with Generative Adversarial Networks
Skin cancer is by far the most common type of cancer. Early detection is...
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09/05/2018
Data Augmentation for Skin Lesion Analysis
Deep learning models show remarkable results in automated skin lesion an...
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08/25/2018
Deep-Learning Ensembles for Skin-Lesion Segmentation, Analysis, Classification: RECOD Titans at ISIC Challenge 2018
This extended abstract describes the participation of RECOD Titans in pa...
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06/12/2018
Adversarial Attacks on Variational Autoencoders
Adversarial attacks are malicious inputs that derail machine-learning mo...
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11/01/2017
Data, Depth, and Design: Learning Reliable Models for Melanoma Screening
State of the art on melanoma screening evolved rapidly in the last two y...
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10/08/2017
Paperclickers: Affordable Solution for Classroom Response Systems
We propose a low-cost classroom response system requiring a single mobil...
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03/22/2017
Knowledge Transfer for Melanoma Screening with Deep Learning
Knowledge transfer impacts the performance of deep learning -- the state...
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03/14/2017
RECOD Titans at ISIC Challenge 2017
This extended abstract describes the participation of RECOD Titans in pa...
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12/05/2016
Known Unknowns: Uncertainty Quality in Bayesian Neural Networks
We evaluate the uncertainty quality in neural networks using anomaly det...
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12/01/2016
Adversarial Images for Variational Autoencoders
We investigate adversarial attacks for autoencoders. We propose a proced...
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09/05/2016
Towards Automated Melanoma Screening: Exploring Transfer Learning Schemes
Deep learning is the current bet for image classification. Its greed for...
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04/14/2016
Towards Automated Melanoma Screening: Proper Computer Vision & Reliable Results
In this paper we survey, analyze and criticize current art on automated ...
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10/19/2015
Exploring the Space of Adversarial Images
Adversarial examples have raised questions regarding the robustness and ...
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10/09/2015
Where Is My Puppy? Retrieving Lost Dogs by Facial Features
A pet that goes missing is among many people's worst fears: a moment of ...
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05/11/2012
Are visual dictionaries generalizable?
Mid-level features based on visual dictionaries are today a cornerstone ...
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04/28/2011
Content-Based Spam Filtering on Video Sharing Social Networks
In this work we are concerned with the detection of spam in video sharin...
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04/25/2011
Bayesian approach for near-duplicate image detection
In this paper we propose a bayesian approach for near-duplicate image de...
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04/19/2011
Hue Histograms to Spatiotemporal Local Features for Action Recognition
Despite the recent developments in spatiotemporal local features for act...
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01/12/2011
