Zobrazeno 1 - 10
of 611
pro vyhledávání: '"Shotton, P."'
Autor:
Zürn, Jannik, Gladkov, Paul, Dudas, Sofía, Cotter, Fergal, Toteva, Sofi, Shotton, Jamie, Simaiaki, Vasiliki, Mohan, Nikhil
We present WayveScenes101, a dataset designed to help the community advance the state of the art in novel view synthesis that focuses on challenging driving scenes containing many dynamic and deformable elements with changing geometry and texture. Th
Externí odkaz:
http://arxiv.org/abs/2407.08280
Autor:
Renz, Katrin, Chen, Long, Marcu, Ana-Maria, Hünermann, Jan, Hanotte, Benoit, Karnsund, Alice, Shotton, Jamie, Arani, Elahe, Sinavski, Oleg
In this technical report, we present CarLLaVA, a Vision Language Model (VLM) for autonomous driving, developed for the CARLA Autonomous Driving Challenge 2.0. CarLLaVA uses the vision encoder of the LLaVA VLM and the LLaMA architecture as backbone, a
Externí odkaz:
http://arxiv.org/abs/2406.10165
Autor:
Ishida, Shu, Corrado, Gianluca, Fedoseev, George, Yeo, Hudson, Russell, Lloyd, Shotton, Jamie, Henriques, João F., Hu, Anthony
We propose LangProp, a framework for iteratively optimizing code generated by large language models (LLMs), in both supervised and reinforcement learning settings. While LLMs can generate sensible coding solutions zero-shot, they are often sub-optima
Externí odkaz:
http://arxiv.org/abs/2401.10314
Autor:
Marcu, Ana-Maria, Chen, Long, Hünermann, Jan, Karnsund, Alice, Hanotte, Benoit, Chidananda, Prajwal, Nair, Saurabh, Badrinarayanan, Vijay, Kendall, Alex, Shotton, Jamie, Arani, Elahe, Sinavski, Oleg
Autonomous driving has long faced a challenge with public acceptance due to the lack of explainability in the decision-making process. Video question-answering (QA) in natural language provides the opportunity for bridging this gap. Nonetheless, eval
Externí odkaz:
http://arxiv.org/abs/2312.14115
Autor:
Chen, Long, Sinavski, Oleg, Hünermann, Jan, Karnsund, Alice, Willmott, Andrew James, Birch, Danny, Maund, Daniel, Shotton, Jamie
Large Language Models (LLMs) have shown promise in the autonomous driving sector, particularly in generalization and interpretability. We introduce a unique object-level multimodal LLM architecture that merges vectorized numeric modalities with a pre
Externí odkaz:
http://arxiv.org/abs/2310.01957
Autor:
Hu, Anthony, Russell, Lloyd, Yeo, Hudson, Murez, Zak, Fedoseev, George, Kendall, Alex, Shotton, Jamie, Corrado, Gianluca
Autonomous driving promises transformative improvements to transportation, but building systems capable of safely navigating the unstructured complexity of real-world scenarios remains challenging. A critical problem lies in effectively predicting th
Externí odkaz:
http://arxiv.org/abs/2309.17080
Autor:
Stocking, Kaylene C., Murez, Zak, Badrinarayanan, Vijay, Shotton, Jamie, Kendall, Alex, Tomlin, Claire, Burgess, Christopher P.
Object-centric representations enable autonomous driving algorithms to reason about interactions between many independent agents and scene features. Traditionally these representations have been obtained via supervised learning, but this decouples pe
Externí odkaz:
http://arxiv.org/abs/2307.07147
Publikováno v:
International Breastfeeding Journal, Vol 19, Iss 1, Pp 1-7 (2024)
Abstract Background This paper outlines a pilot of a new memory aide for breastfeeding conducted in the Northeast of England and North Cumbria between April and August 2023. The United Kingdom has some of the lowest rates of breastfeeding, particular
Externí odkaz:
https://doaj.org/article/11fc2d4d717849169cdb387a4a1c2bc4
OpenCitations Meta is a new database that contains bibliographic metadata of scholarly publications involved in citations indexed by the OpenCitations infrastructure. It adheres to Open Science principles and provides data under a CC0 license for max
Externí odkaz:
http://arxiv.org/abs/2306.16191
Autor:
Shotton, Jack
Let $F/\mathbb{Q}_p$ be finite and let $\mathfrak{X}_G$ be the moduli space of Langlands parameters valued in $G$, in characteristic distinct from $p$. First, we determine the irreducible components of $\mathfrak{X}_G$. Then, we determine the local s
Externí odkaz:
http://arxiv.org/abs/2302.10125