Search Results for author: Anthony Hu

Found 9 papers, 5 papers with code

GAIA-1: A Generative World Model for Autonomous Driving

no code implementations29 Sep 2023 Anthony Hu, Lloyd Russell, Hudson Yeo, Zak Murez, George Fedoseev, Alex Kendall, Jamie Shotton, Gianluca Corrado

Autonomous driving promises transformative improvements to transportation, but building systems capable of safely navigating the unstructured complexity of real-world scenarios remains challenging.

Autonomous Driving

Neural World Models for Computer Vision

no code implementations15 Jun 2023 Anthony Hu

We present for the first time a model that can predict probabilistic future trajectories of dynamic agents in bird's-eye view from 360{\deg} surround monocular cameras only.

Autonomous Driving Inductive Bias +3

Model-Based Imitation Learning for Urban Driving

1 code implementation14 Oct 2022 Anthony Hu, Gianluca Corrado, Nicolas Griffiths, Zak Murez, Corina Gurau, Hudson Yeo, Alex Kendall, Roberto Cipolla, Jamie Shotton

Our approach is the first camera-only method that models static scene, dynamic scene, and ego-behaviour in an urban driving environment.

Autonomous Driving Bird's-Eye View Semantic Segmentation +4

SPIN: Simplifying Polar Invariance for Neural networks Application to vision-based irradiance forecasting

no code implementations29 Nov 2021 Quentin Paletta, Anthony Hu, Guillaume Arbod, Philippe Blanc, Joan Lasenby

Translational invariance induced by pooling operations is an inherent property of convolutional neural networks, which facilitates numerous computer vision tasks such as classification.

Data Augmentation Solar Irradiance Forecasting

ECLIPSE : Envisioning CLoud Induced Perturbations in Solar Energy

2 code implementations26 Apr 2021 Quentin Paletta, Anthony Hu, Guillaume Arbod, Joan Lasenby

Efficient integration of solar energy into the electricity mix depends on a reliable anticipation of its intermittency.

Multimodal Sentiment Analysis To Explore the Structure of Emotions

2 code implementations ICLR 2018 Anthony Hu, Seth Flaxman

We propose a novel approach to multimodal sentiment analysis using deep neural networks combining visual analysis and natural language processing.

Multimodal Sentiment Analysis

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