François Schnitzler — accepted AI-conference papers

2021

On the Hidden Treasure of Dialog in Video Question Answering

Deniz Engin, François Schnitzler, Ngoc Q. K. Duong, Yannis Avrithis

ICCV 2021poster

High-level understanding of stories in video such as movies and TV shows from raw data is extremely challenging. Modern video question answering (VideoQA) systems often use additional human-made sources like plot synopses, scripts, video descriptions or knowledge bases. In this work, we present a ne…

Cited by 12 PDF ↗code ↗Scholar ↗

2021

SkipW: Resource Adaptable RNN with Strict Upper Computational Limit

Tsiry Mayet, Anne Lambert, Pascal Leguyadec, Francoise Le Bolzer, François Schnitzler

ICLR 2021poster

We introduce Skip-Window, a method to allow recurrent neural networks (RNNs) to trade off accuracy for computational cost during the analysis of a sequence. Similarly to existing approaches, Skip-Window extends existing RNN cells by adding a mechanism to encourage the model to process fewer inputs.…

Cited by 3 Source ↗PDF ↗Scholar ↗