output
20202026
most citedRobust Motion In-betweening

259 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2021Show all

6 papers · 1 filter

cs.LG2021★ 2 cited

Graph augmented Deep Reinforcement Learning in the GameRLand3D environment

Edward Beeching, Maxim Peter, Philippe Marcotte +4

We address planning and navigation in challenging 3D video games featuring maps with disconnected regions reachable by agents using special actions. In this setting, classical symb…

eess.AS2021★ 111 cited

A Comparison of Discrete and Soft Speech Units for Improved Voice Conversion

Benjamin van Niekerk, Marc-André Carbonneau, Julian Zaïdi +3

The goal of voice conversion is to transform source speech into a target voice, keeping the content unchanged. In this paper, we focus on self-supervised representation learning fo…

cs.CV2021★ 6 cited

Satellite Image Semantic Segmentation

Eric Guérin, Killian Oechslin, Christian Wolf +1

In this paper, we propose a method for the automatic semantic segmentation of satellite images into six classes (sparse forest, dense forest, moor, herbaceous formation, building,…

cs.SD2021★ 21 cited

Daft-Exprt: Cross-Speaker Prosody Transfer on Any Text for Expressive Speech Synthesis

Julian Zaïdi, Hugo Seuté, Benjamin van Niekerk +1

This paper presents Daft-Exprt, a multi-speaker acoustic model advancing the state-of-the-art for cross-speaker prosody transfer on any text. This is one of the most challenging, a…

cs.LG2021★ 23 cited

Causal Reinforcement Learning using Observational and Interventional Data

Maxime Gasse, Damien Grasset, Guillaume Gaudron +1

Learning efficiently a causal model of the environment is a key challenge of model-based RL agents operating in POMDPs. We consider here a scenario where the learning agent has the…

cs.CV2021★ 259 cited

Robust Motion In-betweening

Félix G. Harvey, Mike Yurick, Derek Nowrouzezahrai +1

In this work we present a novel, robust transition generation technique that can serve as a new tool for 3D animators, based on adversarial recurrent neural networks. The system sy…