Marcel Worring

research

∙ 09/20/2023

ProtoExplorer: Interpretable Forensic Analysis of Deepfake Videos using Prototype Exploration and Refinement

In high-stakes settings, Machine Learning models that can provide predic...

0 Merel de Leeuw den Bouter, et al. ∙

research

∙ 07/05/2023

Multimodal Temporal Fusion Transformers Are Good Product Demand Forecasters

Multimodal demand forecasting aims at predicting product demand utilizin...

0 Maarten Sukel, et al. ∙

research

∙ 07/04/2023

Query-based Video Summarization with Pseudo Label Supervision

Existing datasets for manually labelled query-based video summarization ...

0 Jia-Hong Huang, et al. ∙

research

∙ 04/06/2023

Improving Visual Question Answering Models through Robustness Analysis and In-Context Learning with a Chain of Basic Questions

Deep neural networks have been critical in the task of Visual Question A...

0 Jia-Hong Huang, et al. ∙

research

∙ 03/10/2023

Open-Ended Medical Visual Question Answering Through Prefix Tuning of Language Models

Medical Visual Question Answering (VQA) is an important challenge, as it...

4 Tom van Sonsbeek, et al. ∙

research

∙ 02/28/2023

Meta Learning to Bridge Vision and Language Models for Multimodal Few-Shot Learning

Multimodal few-shot learning is challenging due to the large domain gap ...

25 Ivona Najdenkoska, et al. ∙

research

∙ 02/22/2023

X-TRA: Improving Chest X-ray Tasks with Cross-Modal Retrieval Augmentation

An important component of human analysis of medical images and their con...

0 Tom van Sonsbeek, et al. ∙

research

∙ 11/14/2022

An Analytics of Culture: Modeling Subjectivity, Scalability, Contextuality, and Temporality

There is a bidirectional relationship between culture and AI; AI models ...

0 Nanne van Noord, et al. ∙

research

∙ 10/13/2022

Probabilistic Integration of Object Level Annotations in Chest X-ray Classification

Medical image datasets and their annotations are not growing as fast as ...

0 Tom van Sonsbeek, et al. ∙

research

∙ 10/10/2022

Association Graph Learning for Multi-Task Classification with Category Shifts

In this paper, we focus on multi-task classification, where related clas...

6 Jiayi Shen, et al. ∙

research

∙ 08/30/2022

PanorAMS: Automatic Annotation for Detecting Objects in Urban Context

Large collections of geo-referenced panoramic images are freely availabl...

1 Inske Groenen, et al. ∙

research

∙ 04/12/2022

LifeLonger: A Benchmark for Continual Disease Classification

Deep learning models have shown a great effectiveness in recognition of ...

1 Mohammad Mahdi Derakhshani, et al. ∙

research

∙ 11/26/2021

Inside Out Visual Place Recognition

Visual Place Recognition (VPR) is generally concerned with localizing ou...

0 Sarah Ibrahimi, et al. ∙

research

∙ 11/10/2021

Multi-Task Neural Processes

Neural processes have recently emerged as a class of powerful neural lat...

0 Jiayi Shen, et al. ∙

research

∙ 11/09/2021

Variational Multi-Task Learning with Gumbel-Softmax Priors

Multi-task learning aims to explore task relatedness to improve individu...

0 Jiayi Shen, et al. ∙

research

∙ 10/13/2021

The Dawn of Quantum Natural Language Processing

In this paper, we discuss the initial attempts at boosting understanding...

13 Riccardo Di Sipio, et al. ∙

research

∙ 07/15/2021

Variational Topic Inference for Chest X-Ray Report Generation

Automating report generation for medical imaging promises to reduce work...

11 Ivona Najdenkoska, et al. ∙

research

∙ 05/30/2021

Longer Version for "Deep Context-Encoding Network for Retinal Image Captioning"

Automatically generating medical reports for retinal images is one of th...

0 Jia-Hong Huang, et al. ∙

research

∙ 05/17/2021

Graph Neural Networks for Knowledge Enhanced Visual Representation of Paintings

We propose ArtSAGENet, a novel multimodal architecture that integrates G...

0 Athanasios Efthymiou, et al. ∙

research

∙ 04/26/2021

Contextualized Keyword Representations for Multi-modal Retinal Image Captioning

Medical image captioning automatically generates a medical description t...

0 Jia-Hong Huang, et al. ∙

research

∙ 04/26/2021

GPT2MVS: Generative Pre-trained Transformer-2 for Multi-modal Video Summarization

Traditional video summarization methods generate fixed video representat...

10 Jia-Hong Huang, et al. ∙

research

∙ 03/19/2021

Variational Knowledge Distillation for Disease Classification in Chest X-Rays

Disease classification relying solely on imaging data attracts great int...

0 Tom van Sonsbeek, et al. ∙

research

∙ 11/01/2020

DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation

In this work, we propose an AI-based method that intends to improve the ...

0 Jia-Hong Huang, et al. ∙

research

∙ 05/12/2020

Detecting CNN-Generated Facial Images in Real-World Scenarios

Artificial, CNN-generated images are now of such high quality that human...

7 Nils Hulzebosch, et al. ∙

research

∙ 05/05/2020

II-20: Intelligent and pragmatic analytic categorization of image collections

We introduce II-20 (Image Insight 2020), a multimedia analytics approach...

0 Jan Zahálka, et al. ∙

research

∙ 04/07/2020

Query-controllable Video Summarization

When video collections become huge, how to explore both within and acros...

0 Jia-Hong Huang, et al. ∙

research

∙ 11/30/2019

Assessing the Robustness of Visual Question Answering

Deep neural networks have been playing an essential role in the task of ...

0 Jia-Hong Huang, et al. ∙

research

∙ 10/22/2019

4-Connected Shift Residual Networks

The shift operation was recently introduced as an alternative to spatial...

0 Pascal Mettes, et al. ∙

research

∙ 10/07/2019

BERT for Evidence Retrieval and Claim Verification

Motivated by the promising performance of pre-trained language models, w...

0 Amir Soleimani, et al. ∙

research

∙ 09/19/2019

HyperLearn: A Distributed Approach for Representation Learning in Datasets With Many Modalities

Multimodal datasets contain an enormous amount of relational information...

52 Devanshu Arya, et al. ∙

research

∙ 05/07/2019

Interactive Search and Exploration in Online Discussion Forums Using Multimodal Embeddings

In this paper we present a novel interactive multimodal learning system,...

0 Iva Gornishka, et al. ∙

research

∙ 04/30/2019

Multimodal Classification of Urban Micro-Events

In this paper we seek methods to effectively detect urban micro-events. ...

0 Maarten Sukel, et al. ∙

research

∙ 04/18/2019

Exquisitor: Interactive Learning at Large

Increasing scale is a dominant trend in today's multimedia collections, ...

0 Björn Þór Jónsson, et al. ∙

research

∙ 04/05/2019

Learning Task Relatedness in Multi-Task Learning for Images in Context

Multimedia applications often require concurrent solutions to multiple t...

0 Gjorgji Strezoski, et al. ∙

research

∙ 03/28/2019

Many Task Learning with Task Routing

Typical multi-task learning (MTL) methods rely on architectural adjustme...

0 Gjorgji Strezoski, et al. ∙

research

∙ 08/02/2017

OmniArt: Multi-task Deep Learning for Artistic Data Analysis

Vast amounts of artistic data is scattered on-line from both museums and...

0 Gjorgji Strezoski, et al. ∙

research

∙ 08/23/2016

Unsupervised, Efficient and Semantic Expertise Retrieval

We introduce an unsupervised discriminative model for the task of retrie...

0 Christophe Van Gysel, et al. ∙

Marcel Worring

Featured Co-authors