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06/22/2022
Scaling Autoregressive Models for Content-Rich Text-to-Image Generation
We present the Pathways Autoregressive Text-to-Image (Parti) model, whic...
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05/09/2022
When does dough become a bagel? Analyzing the remaining mistakes on ImageNet
Image classification accuracy on the ImageNet dataset has been a baromet...
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05/04/2022
CoCa: Contrastive Captioners are Image-Text Foundation Models
Exploring large-scale pretrained foundation models is of significant int...
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06/15/2021
Scene Transformer: A unified multi-task model for behavior prediction and planning
Predicting the future motion of multiple agents is necessary for plannin...
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04/20/2021
Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset
As autonomous driving systems mature, motion forecasting has received in...
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03/02/2021
Pseudo-labeling for Scalable 3D Object Detection
To safely deploy autonomous vehicles, onboard perception systems must wo...
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05/04/2020
Streaming Object Detection for 3-D Point Clouds
Autonomous vehicles operate in a dynamic environment, where the speed wi...
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04/02/2020
Improving 3D Object Detection through Progressive Population Based Augmentation
Data augmentation has been widely adopted for object detection in 3D poi...
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12/10/2019
Scalability in Perception for Autonomous Driving: Waymo Open Dataset
The research community has increasing interest in autonomous driving res...
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12/10/2019
Scalability in Perception for Autonomous Driving: An Open Dataset Benchmark
The research community has increasing interest in autonomous driving res...
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10/15/2019
End-to-End Multi-View Fusion for 3D Object Detection in LiDAR Point Clouds
Recent work on 3D object detection advocates point cloud voxelization in...
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08/29/2019
StarNet: Targeted Computation for Object Detection in Point Clouds
LiDAR sensor systems provide high resolution spatial information about t...
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05/06/2019
Searching for MobileNetV3
We present the next generation of MobileNets based on a combination of c...
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11/16/2018
Domain Adaptive Transfer Learning with Specialist Models
Transfer learning is a widely used method to build high performing compu...
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07/31/2018
MnasNet: Platform-Aware Neural Architecture Search for Mobile
Designing convolutional neural networks (CNN) models for mobile devices ...
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05/25/2018
Parallel Architecture and Hyperparameter Search via Successive Halving and Classification
We present a simple and powerful algorithm for parallel black box optimi...
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05/24/2018
AutoAugment: Learning Augmentation Policies from Data
In this paper, we take a closer look at data augmentation for images, an...
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09/21/2017
Neural Optimizer Search with Reinforcement Learning
We present an approach to automate the process of discovering optimizati...
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07/21/2017
Learning Transferable Architectures for Scalable Image Recognition
Developing neural network image classification models often requires sig...
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04/16/2017
In-Datacenter Performance Analysis of a Tensor Processing Unit
Many architects believe that major improvements in cost-energy-performan...
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03/14/2016