94 citations · 189 across the 10 of their papers we have counts for
11 papers
Multiplayer Interactive World Models with Representation Autoencoders
Anthony Hu, Václav Volhejn, Adrien Ramanana Rahary +24
We introduce the first multiplayer world model for highly dynamic environments governed by complex physical interactions. Whereas single-player world models treat the other agents…
GAIA-1: A Generative World Model for Autonomous Driving
Anthony Hu, Lloyd Russell, Hudson Yeo +5
Autonomous driving promises transformative improvements to transportation, but building systems capable of safely navigating the unstructured complexity of real-world scenarios rem…
Neural World Models for Computer Vision
Anthony Hu
Humans navigate in their environment by learning a mental model of the world through passive observation and active interaction. Their world model allows them to anticipate what mi…
Model-Based Imitation Learning for Urban Driving
Anthony Hu, Gianluca Corrado, Nicolas Griffiths +6
An accurate model of the environment and the dynamic agents acting in it offers great potential for improving motion planning. We present MILE: a Model-based Imitation LEarning app…
SPIN: Simplifying Polar Invariance for Neural networks Application to vision-based irradiance forecasting
Quentin Paletta, Anthony Hu, Guillaume Arbod +2
Translational invariance induced by pooling operations is an inherent property of convolutional neural networks, which facilitates numerous computer vision tasks such as classifica…
ECLIPSE : Envisioning CLoud Induced Perturbations in Solar Energy
Quentin Paletta, Anthony Hu, Guillaume Arbod +1
Efficient integration of solar energy into the electricity mix depends on a reliable anticipation of its intermittency. A promising approach to forecast the temporal variability of…
FIERY: Future Instance Prediction in Bird's-Eye View from Surround Monocular Cameras
Anthony Hu, Zak Murez, Nikhil Mohan +5
Driving requires interacting with road agents and predicting their future behaviour in order to navigate safely. We present FIERY: a probabilistic future prediction model in bird's…
Probabilistic Future Prediction for Video Scene Understanding
Anthony Hu, Fergal Cotter, Nikhil Mohan +2
We present a novel deep learning architecture for probabilistic future prediction from video. We predict the future semantics, geometry and motion of complex real-world urban scene…
Learning a Spatio-Temporal Embedding for Video Instance Segmentation
Anthony Hu, Alex Kendall, Roberto Cipolla
We present a novel embedding approach for video instance segmentation. Our method learns a spatio-temporal embedding integrating cues from appearance, motion, and geometry; a 3D ca…
Ensemble-based cover song detection
Marc Sarfati, Anthony Hu, Jonathan Donier
Audio-based cover song detection has received much attention in the MIR community in the recent years. To date, the most popular formulation of the problem has been to compare the…
Multimodal Sentiment Analysis To Explore the Structure of Emotions
Anthony Hu, Seth Flaxman
We propose a novel approach to multimodal sentiment analysis using deep neural networks combining visual analysis and natural language processing. Our goal is different than the st…