research
∙
09/07/2023
Text-to-feature diffusion for audio-visual few-shot learning
Training deep learning models for video classification from audio-visual...
share
research
∙
08/21/2023
Image-free Classifier Injection for Zero-Shot Classification
Zero-shot learning models achieve remarkable results on image classifica...
research
∙
07/20/2023
Addressing caveats of neural persistence with deep graph persistence
Neural Persistence is a prominent measure for quantifying neural network...
research
∙
06/12/2023
Waffling around for Performance: Visual Classification with Random Words and Broad Concepts
The visual classification performance of vision-language models such as ...
research
∙
04/06/2023
Exposing and Mitigating Spurious Correlations for Cross-Modal Retrieval
Cross-modal retrieval methods are the preferred tool to search databases...
research
∙
10/25/2022
PlanT: Explainable Planning Transformers via Object-Level Representations
Planning an optimal route in a complex environment requires efficient re...
research
∙
07/20/2022
Temporal and cross-modal attention for audio-visual zero-shot learning
Audio-visual generalised zero-shot learning for video classification req...
research
∙
04/05/2022
CLEVR-X: A Visual Reasoning Dataset for Natural Language Explanations
Providing explanations in the context of Visual Question Answering (VQA)...
research
∙
03/07/2022
Audio-visual Generalised Zero-shot Learning with Cross-modal Attention and Language
Learning to classify video data from classes not included in the trainin...
research
∙
12/17/2021
Audio Retrieval with Natural Language Queries: A Benchmark Study
The objectives of this work are cross-modal text-audio and audio-text re...
research
∙
05/05/2021
Audio Retrieval with Natural Language Queries
We consider the task of retrieving audio using free-form natural languag...
research
∙
05/04/2021
Where and When: Space-Time Attention for Audio-Visual Explanations
Explaining the decision of a multi-modal decision-maker requires to dete...
research
∙
04/22/2021
Distilling Audio-Visual Knowledge by Compositional Contrastive Learning
Having access to multi-modal cues (e.g. vision and audio) empowers some ...
research
∙
10/28/2019
Self-supervised learning of class embeddings from video
This work explores how to use self-supervised learning on videos to lear...
research
∙
08/21/2018
Self-supervised learning of a facial attribute embedding from video
We propose a self-supervised framework for learning facial attributes by...
research
∙
07/27/2018