Search Results for author: Antoine Yang

Found 6 papers, 4 papers with code

Learning to Answer Visual Questions from Web Videos

1 code implementation10 May 2022 Antoine Yang, Antoine Miech, Josef Sivic, Ivan Laptev, Cordelia Schmid

We use our method to generate the WebVidVQA3M dataset from the WebVid dataset, i. e., videos with alt-text annotations, and show its benefits for training VideoQA models.

Question Answering Question Generation +3

Just Ask: Learning to Answer Questions from Millions of Narrated Videos

1 code implementation ICCV 2021 Antoine Yang, Antoine Miech, Josef Sivic, Ivan Laptev, Cordelia Schmid

In this work, we propose to avoid manual annotation and generate a large-scale training dataset for video question answering making use of automatic cross-modal supervision.

 Ranked #1 on Video Question Answering on iVQA (using extra training data)

Question Answering Question Generation +3

NAS evaluation is frustratingly hard

1 code implementation ICLR 2020 Antoine Yang, Pedro M. Esperança, Fabio M. Carlucci

As such, and due to the under-use of ablation studies, there is a lack of clarity regarding why certain methods are more effective than others.

Image Classification Neural Architecture Search

MANAS: Multi-Agent Neural Architecture Search

no code implementations3 Sep 2019 Fabio Maria Carlucci, Pedro M. Esperança, Marco Singh, Victor Gabillon, Antoine Yang, Hang Xu, Zewei Chen, Jun Wang

The Neural Architecture Search (NAS) problem is typically formulated as a graph search problem where the goal is to learn the optimal operations over edges in order to maximise a graph-level global objective.

Neural Architecture Search

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