Jonathon Shlens

papers

7,394

total citations

papers (14)

Scalability in Perception for Autonomous Driving: Waymo Open Dataset

CVPR 2020arXiv

3,690

citations

Bottleneck Transformers for Visual Recognition

CVPR 2021arXiv

1,133

citations

Large Scale Interactive Motion Forecasting for Autonomous Driving: The Waymo Open Motion Dataset

ICCV 2021arXiv

743

citations

Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation

ECCV 2020arXiv

118

citations

Soft Calibration Objectives for Neural Networks

NEURIPS 2021arXiv

107

citations

Improving 3D Object Detection through Progressive Population Based Augmentation

ECCV 2020arXiv

citations

Perceptual Grouping in Contrastive Vision-Language Models

ICCV 2023arXiv

citations

Streaming Object Detection for 3-D Point Clouds

ECCV 2020arXiv

citations

PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds

ECCV 2022arXiv

citations

MOFI: Learning Image Representations from Noisy Entity Annotated Images

ICLR 2024arXiv

citations

Learning Visual Composition through Improved Semantic Guidance

CVPR 2025arXiv

citations

Jonathon Shlens

papers (14)

Scalability in Perception for Autonomous Driving: Waymo Open Dataset

Bottleneck Transformers for Visual Recognition

Large Scale Interactive Motion Forecasting for Autonomous Driving: The Waymo Open Motion Dataset

Learning Data Augmentation Strategies for Object Detection

Scaling Local Self-Attention for Parameter Efficient Visual Backbones

Revisiting ResNets: Improved Training and Scaling Strategies

Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation

Soft Calibration Objectives for Neural Networks

Improving 3D Object Detection through Progressive Population Based Augmentation

Perceptual Grouping in Contrastive Vision-Language Models

Streaming Object Detection for 3-D Point Clouds

PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds

MOFI: Learning Image Representations from Noisy Entity Annotated Images

Learning Visual Composition through Improved Semantic Guidance

papers (14)

Scalability in Perception for Autonomous Driving: Waymo Open Dataset

Bottleneck Transformers for Visual Recognition

Large Scale Interactive Motion Forecasting for Autonomous Driving: The Waymo Open Motion Dataset

Learning Data Augmentation Strategies for Object Detection

Scaling Local Self-Attention for Parameter Efficient Visual Backbones

Revisiting ResNets: Improved Training and Scaling Strategies

Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation

Soft Calibration Objectives for Neural Networks

Improving 3D Object Detection through Progressive Population Based Augmentation

Perceptual Grouping in Contrastive Vision-Language Models

Streaming Object Detection for 3-D Point Clouds

PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds

MOFI: Learning Image Representations from Noisy Entity Annotated Images

Learning Visual Composition through Improved Semantic Guidance