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09/18/2023
AR-TTA: A Simple Method for Real-World Continual Test-Time Adaptation
Test-time adaptation is a promising research direction that allows the s...
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09/18/2023
Looking through the past: better knowledge retention for generative replay in continual learning
In this work, we improve the generative replay in a continual learning s...
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08/18/2023
Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-free Continual Learning
In this work, we investigate exemplar-free class incremental learning (C...
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06/23/2023
Machine Learning methods for simulating particle response in the Zero Degree Calorimeter at the ALICE experiment, CERN
Currently, over half of the computing power at CERN GRID is used to run ...
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06/22/2023
Towards More Realistic Membership Inference Attacks on Large Diffusion Models
Generative diffusion models, including Stable Diffusion and Midjourney, ...
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05/31/2023
The Tunnel Effect: Building Data Representations in Deep Neural Networks
Deep neural networks are widely known for their remarkable effectiveness...
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05/12/2023
BlendFields: Few-Shot Example-Driven Facial Modeling
Generating faithful visualizations of human faces requires capturing bot...
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03/27/2023
Exploring Continual Learning of Diffusion Models
Diffusion models have achieved remarkable success in generating high-qua...
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02/09/2023
Hypernetworks build Implicit Neural Representations of Sounds
Implicit Neural Representations (INRs) are nowadays used to represent mu...
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02/07/2023
Can gamification reduce the burden of self-reporting in mHealth applications? Feasibility study using machine learning from smartwatch data to estimate cognitive load
The effectiveness of digital treatments can be measured by requiring pat...
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01/31/2023
Learning Data Representations with Joint Diffusion Models
We introduce a joint diffusion model that simultaneously learns meaningf...
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12/20/2022
Towards Unsupervised Visual Reasoning: Do Off-The-Shelf Features Know How to Reason?
Recent advances in visual representation learning allowed to build an ab...
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11/11/2022
Emergency action termination for immediate reaction in hierarchical reinforcement learning
Hierarchical decomposition of control is unavoidable in large dynamical ...
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11/03/2022
HyperSound: Generating Implicit Neural Representations of Audio Signals with Hypernetworks
Implicit neural representations (INRs) are a rapidly growing research fi...
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07/04/2022
Progressive Latent Replay for efficient Generative Rehearsal
We introduce a new method for internal replay that modulates the frequen...
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07/04/2022
Selectively increasing the diversity of GAN-generated samples
Generative Adversarial Networks (GANs) are powerful models able to synth...
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06/16/2022
Continual Learning with Guarantees via Weight Interval Constraints
We introduce a new training paradigm that enforces interval constraints ...
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05/31/2022
On Analyzing Generative and Denoising Capabilities of Diffusion-based Deep Generative Models
Diffusion-based Deep Generative Models (DDGMs) offer state-of-the-art pe...
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05/30/2022
A Deep Learning Approach for Automatic Detection of Qualitative Features of Lecturing
Artificial Intelligence in higher education opens new possibilities for ...
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05/27/2022
Deep Learning Fetal Ultrasound Video Model Match Human Observers in Biometric Measurements
Objective. This work investigates the use of deep convolutional neural n...
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05/19/2022
BabyNet: Residual Transformer Module for Birth Weight Prediction on Fetal Ultrasound Video
Predicting fetal weight at birth is an important aspect of perinatal car...
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05/16/2022
Continual learning on 3D point clouds with random compressed rehearsal
Contemporary deep neural networks offer state-of-the-art results when ap...
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01/23/2022
POTHER: Patch-Voted Deep Learning-based Chest X-ray Bias Analysis for COVID-19 Detection
A critical step in the fight against COVID-19, which continues to have a...
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01/17/2022
Logarithmic Continual Learning
We introduce a neural network architecture that logarithmically reduces ...
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12/03/2021
CoNeRF: Controllable Neural Radiance Fields
We extend neural 3D representations to allow for intuitive and interpret...
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10/26/2021
Non-Gaussian Gaussian Processes for Few-Shot Regression
Gaussian Processes (GPs) have been widely used in machine learning to mo...
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10/24/2021
EgoNN: Egocentric Neural Network for Point Cloud Based 6DoF Relocalization at the City Scale
The paper presents a deep neural network-based method for global and loc...
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10/12/2021
HyperCube: Implicit Field Representations of Voxelized 3D Models
Recently introduced implicit field representations offer an effective wa...
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10/06/2021
Large-Scale Topological Radar Localization Using Learned Descriptors
In this work, we propose a method for large-scale topological localizati...
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10/05/2021
Efficient GPU implementation of randomized SVD and its applications
Matrix decompositions are ubiquitous in machine learning, including appl...
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09/04/2021
On robustness of generative representations against catastrophic forgetting
Catastrophic forgetting of previously learned knowledge while learning n...
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08/03/2021
HyperColor: A HyperNetwork Approach for Synthesizing Auto-colored 3D Models for Game Scenes Population
Designing a 3D game scene is a tedious task that often requires a substa...
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07/14/2021
FetalNet: Multi-task deep learning framework for fetal ultrasound biometric measurements
In this paper, we propose an end-to-end multi-task neural network called...
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06/23/2021
Multiband VAE: Latent Space Partitioning for Knowledge Consolidation in Continual Learning
We propose a new method for unsupervised continual knowledge consolidati...
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06/21/2021
Visual Probing: Cognitive Framework for Explaining Self-Supervised Image Representations
Recently introduced self-supervised methods for image representation lea...
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06/09/2021
Zero Time Waste: Recycling Predictions in Early Exit Neural Networks
The problem of reducing processing time of large deep learning models is...
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04/18/2021
Convolutional Neural Networks in Orthodontics: a review
Convolutional neural networks (CNNs) are used in many areas of computer ...
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04/12/2021
MinkLoc++: Lidar and Monocular Image Fusion for Place Recognition
We introduce a discriminative multimodal descriptor based on a pair of s...
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04/01/2021
TrajeVAE – Controllable Human Motion Generation from Trajectories
The generation of plausible and controllable 3D human motion animations ...
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02/17/2021
I Want This Product but Different : Multimodal Retrieval with Synthetic Query Expansion
This paper addresses the problem of media retrieval using a multimodal q...
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02/11/2021
Modeling 3D Surface Manifolds with a Locally Conditioned Atlas
Recently proposed 3D object reconstruction methods represent a mesh with...
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02/11/2021
HyperPocket: Generative Point Cloud Completion
Scanning real-life scenes with modern registration devices typically giv...
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11/30/2020
RegFlow: Probabilistic Flow-based Regression for Future Prediction
Predicting future states or actions of a given system remains a fundamen...
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08/16/2020
Spontaneous preterm birth prediction using convolutional neural networks
An estimated 15 million babies are born too early every year. Approximat...
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06/15/2020
HyperFlow: Representing 3D Objects as Surfaces
In this work, we present HyperFlow - a novel generative model that lever...
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06/11/2020
End-to-end Sinkhorn Autoencoder with Noise Generator
In this work, we propose a novel end-to-end sinkhorn autoencoder with no...
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03/23/2020
Understanding the robustness of deep neural network classifiers for breast cancer screening
Deep neural networks (DNNs) show promise in breast cancer screening, but...
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12/10/2019
SuperNCN: Neighbourhood consensus network for robust outdoor scenes matching
In this paper, we present a framework for computing dense keypoint corre...
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09/11/2019
Late fusion of deep learning and hand-crafted features for Achilles tendon healing monitoring
Healing process assessment of the Achilles tendon is usually a complex p...
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09/11/2019