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09/11/2023
Radiomics Boosts Deep Learning Model for IPMN Classification
Intraductal Papillary Mucinous Neoplasm (IPMN) cysts are pre-malignant p...
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08/22/2023
MatFuse: Controllable Material Generation with Diffusion Models
Creating high quality and realistic materials in computer graphics is a ...
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07/26/2023
Non-Linear Self Augmentation Deep Pipeline for Cancer Treatment outcome Prediction
Immunotherapy emerges as promising approach for treating cancer. Encoura...
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07/06/2023
A Privacy-Preserving Walk in the Latent Space of Generative Models for Medical Applications
Generative Adversarial Networks (GANs) have demonstrated their ability t...
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07/05/2023
RADiff: Controllable Diffusion Models for Radio Astronomical Maps Generation
Along with the nearing completion of the Square Kilometre Array (SKA), c...
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07/03/2023
MeT: A Graph Transformer for Semantic Segmentation of 3D Meshes
Polygonal meshes have become the standard for discretely approximating 3...
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05/05/2023
On the Effectiveness of Equivariant Regularization for Robust Online Continual Learning
Humans can learn incrementally, whereas neural networks forget previousl...
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04/20/2023
A baseline on continual learning methods for video action recognition
Continual learning has recently attracted attention from the research co...
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03/08/2023
Transformer-based Image Generation from Scene Graphs
Graph-structured scene descriptions can be efficiently used in generativ...
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03/08/2023
Radio astronomical images object detection and segmentation: A benchmark on deep learning methods
In recent years, deep learning has been successfully applied in various ...
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01/11/2023
TinyHD: Efficient Video Saliency Prediction with Heterogeneous Decoders using Hierarchical Maps Distillation
Video saliency prediction has recently attracted attention of the resear...
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10/12/2022
On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning
Rehearsal approaches enjoy immense popularity with Continual Learning (C...
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07/01/2022
Transforming Image Generation from Scene Graphs
Generating images from semantic visual knowledge is a challenging task, ...
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06/21/2022
Neural Transformers for Intraductal Papillary Mucosal Neoplasms (IPMN) Classification in MRI images
Early detection of precancerous cysts or neoplasms, i.e., Intraductal Pa...
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06/20/2022
Decentralized Distributed Learning with Privacy-Preserving Data Synthesis
In the medical field, multi-center collaborations are often sought to yi...
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06/03/2022
Effects of Auxiliary Knowledge on Continual Learning
In Continual Learning (CL), a neural network is trained on a stream of d...
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06/01/2022
Transfer without Forgetting
This work investigates the entanglement between Continual Learning (CL) ...
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05/17/2022
MIDGARD: A Simulation Platform for Autonomous Navigation in Unstructured Environments
We present MIDGARD, an open source simulation platform for autonomous ro...
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09/03/2021
Hierarchical 3D Feature Learning for Pancreas Segmentation
We propose a novel 3D fully convolutional deep network for automated pan...
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08/02/2021
Bringing AI pipelines onto cloud-HPC: setting a baseline for accuracy of COVID-19 AI diagnosis
HPC is an enabling platform for AI. The introduction of AI workloads in ...
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07/23/2021
SurfaceNet: Adversarial SVBRDF Estimation from a Single Image
In this paper we present SurfaceNet, an approach for estimating spatiall...
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04/07/2021
Information Bottleneck Attribution for Visual Explanations of Diagnosis and Prognosis
Visual explanation methods have an important role in the prognosis of th...
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01/28/2021
An Explainable AI System for Automated COVID-19 Assessment and Lesion Categorization from CT-scans
COVID-19 infection caused by SARS-CoV-2 pathogen is a catastrophic pande...
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10/02/2020
Video Saliency Detection with Domain Adaptation using Hierarchical Gradient Reversal Layers
In this work, we propose a 3D fully convolutional architecture for video...
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09/16/2020
Domain Adaptation for Outdoor Robot Traversability Estimation from RGB data with Safety-Preserving Loss
Being able to estimate the traversability of the area surrounding a mobi...
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01/10/2020
Diagnosing Colorectal Polyps in the Wild with Capsule Networks
Colorectal cancer, largely arising from precursor lesions called polyps,...
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10/25/2018
Decoding Brain Representations by Multimodal Learning of Neural Activity and Visual Features
This paper tackles the problem of learning brain-visual representations ...
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09/15/2017
Top-Down Saliency Detection Driven by Visual Classification
This paper presents an approach for top-down saliency detection guided b...
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03/28/2017
Semi and Weakly Supervised Semantic Segmentation Using Generative Adversarial Network
Semantic segmentation has been a long standing challenging task in compu...
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09/01/2016
Deep Learning Human Mind for Automated Visual Classification
What if we could effectively read the mind and transfer human visual cap...
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01/05/2016