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06/14/2023
Anticipatory Music Transformer
We introduce anticipation: a method for constructing a controllable gene...
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05/23/2023
Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training
Given the massive cost of language model pre-training, a non-trivial imp...
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12/28/2022
Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP
Retrieval-augmented in-context learning has emerged as a powerful approa...
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08/08/2022
FourCastNet: Accelerating Global High-Resolution Weather Forecasting using Adaptive Fourier Neural Operators
Extreme weather amplified by climate change is causing increasingly deva...
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02/22/2022
FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators
FourCastNet, short for Fourier Forecasting Neural Network, is a global d...
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09/16/2021
Evaluating the Impact of Semantic Segmentation and Pose Estimation on Dense Semantic SLAM
Recent Semantic SLAM methods combine classical geometry-based estimation...
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10/03/2020
A simulation environment for drone cinematography
In this paper, we present a workflow for the simulation of drone operati...
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09/24/2020
Task-Oriented Dialogue as Dataflow Synthesis
We describe an approach to task-oriented dialogue in which dialogue stat...
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09/11/2020
The Robotic Vision Scene Understanding Challenge
Being able to explore an environment and understand the location and typ...
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08/03/2020
BenchBot: Evaluating Robotics Research in Photorealistic 3D Simulation and on Real Robots
We introduce BenchBot, a novel software suite for benchmarking the perfo...
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05/18/2020
Tropical and Extratropical Cyclone Detection Using Deep Learning
Extracting valuable information from large sets of diverse meteorologica...
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01/08/2020
What can robotics research learn from computer vision research?
The computer vision and robotics research communities are each strong. H...
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10/07/2019
From Google Maps to a Fine-Grained Catalog of Street trees
Up-to-date catalogs of the urban tree population are important for munic...
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08/12/2019
An energy consistent discretization of the nonhydrostatic equations in primitive variables
We derive a formulation of the nonhydrostatic equations in spherical geo...
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03/19/2019
The Probabilistic Object Detection Challenge
We introduce a new challenge for computer and robotic vision, the first ...
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11/27/2018
Probability-based Detection Quality (PDQ): A Probabilistic Approach to Detection Evaluation
We propose a new visual object detector evaluation measure which not onl...
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01/25/2018
A Rapidly Deployable Classification System using Visual Data for the Application of Precision Weed Management
In this work we demonstrate a rapidly deployable weed classification sys...
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02/04/2017
Towards Unsupervised Weed Scouting for Agricultural Robotics
Weed scouting is an important part of modern integrated weed management ...
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05/20/2016