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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...
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07/05/2023
Multimodal Temporal Fusion Transformers Are Good Product Demand Forecasters
Multimodal demand forecasting aims at predicting product demand utilizin...
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07/04/2023
Query-based Video Summarization with Pseudo Label Supervision
Existing datasets for manually labelled query-based video summarization ...
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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...
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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...
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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 ...
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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...
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11/14/2022
An Analytics of Culture: Modeling Subjectivity, Scalability, Contextuality, and Temporality
There is a bidirectional relationship between culture and AI; AI models ...
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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 ...
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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...
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08/30/2022
PanorAMS: Automatic Annotation for Detecting Objects in Urban Context
Large collections of geo-referenced panoramic images are freely availabl...
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04/12/2022
LifeLonger: A Benchmark for Continual Disease Classification
Deep learning models have shown a great effectiveness in recognition of ...
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11/26/2021
Inside Out Visual Place Recognition
Visual Place Recognition (VPR) is generally concerned with localizing ou...
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11/10/2021
Multi-Task Neural Processes
Neural processes have recently emerged as a class of powerful neural lat...
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11/09/2021
Variational Multi-Task Learning with Gumbel-Softmax Priors
Multi-task learning aims to explore task relatedness to improve individu...
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10/13/2021
The Dawn of Quantum Natural Language Processing
In this paper, we discuss the initial attempts at boosting understanding...
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07/15/2021
Variational Topic Inference for Chest X-Ray Report Generation
Automating report generation for medical imaging promises to reduce work...
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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...
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05/17/2021
Graph Neural Networks for Knowledge Enhanced Visual Representation of Paintings
We propose ArtSAGENet, a novel multimodal architecture that integrates G...
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04/26/2021
Contextualized Keyword Representations for Multi-modal Retinal Image Captioning
Medical image captioning automatically generates a medical description t...
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04/26/2021
GPT2MVS: Generative Pre-trained Transformer-2 for Multi-modal Video Summarization
Traditional video summarization methods generate fixed video representat...
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03/19/2021
Variational Knowledge Distillation for Disease Classification in Chest X-Rays
Disease classification relying solely on imaging data attracts great int...
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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 ...
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05/12/2020
Detecting CNN-Generated Facial Images in Real-World Scenarios
Artificial, CNN-generated images are now of such high quality that human...
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05/05/2020
II-20: Intelligent and pragmatic analytic categorization of image collections
We introduce II-20 (Image Insight 2020), a multimedia analytics approach...
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04/07/2020
Query-controllable Video Summarization
When video collections become huge, how to explore both within and acros...
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11/30/2019
Assessing the Robustness of Visual Question Answering
Deep neural networks have been playing an essential role in the task of ...
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10/22/2019
4-Connected Shift Residual Networks
The shift operation was recently introduced as an alternative to spatial...
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10/07/2019
BERT for Evidence Retrieval and Claim Verification
Motivated by the promising performance of pre-trained language models, w...
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09/19/2019
HyperLearn: A Distributed Approach for Representation Learning in Datasets With Many Modalities
Multimodal datasets contain an enormous amount of relational information...
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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,...
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04/30/2019
Multimodal Classification of Urban Micro-Events
In this paper we seek methods to effectively detect urban micro-events. ...
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04/18/2019
Exquisitor: Interactive Learning at Large
Increasing scale is a dominant trend in today's multimedia collections, ...
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04/05/2019
Learning Task Relatedness in Multi-Task Learning for Images in Context
Multimedia applications often require concurrent solutions to multiple t...
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03/28/2019
Many Task Learning with Task Routing
Typical multi-task learning (MTL) methods rely on architectural adjustme...
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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...
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08/23/2016