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Scene Transformer: A unified multi-task model for behavior prediction and planning


Jun 15, 2021
Jiquan Ngiam, Benjamin Caine, Vijay Vasudevan, Zhengdong Zhang, Hao-Tien Lewis Chiang, Jeffrey Ling, Rebecca Roelofs, Alex Bewley, Chenxi Liu, Ashish Venugopal, David Weiss, Ben Sapp, Zhifeng Chen, Jonathon Shlens


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


Apr 20, 2021
Scott Ettinger, Shuyang Cheng, Benjamin Caine, Chenxi Liu, Hang Zhao, Sabeek Pradhan, Yuning Chai, Ben Sapp, Charles Qi, Yin Zhou, Zoey Yang, Aurelien Chouard, Pei Sun, Jiquan Ngiam, Vijay Vasudevan, Alexander McCauley, Jonathon Shlens, Dragomir Anguelov

* 15 pages, 10 figures 

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Scaling Local Self-Attention for Parameter Efficient Visual Backbones


Mar 30, 2021
Ashish Vaswani, Prajit Ramachandran, Aravind Srinivas, Niki Parmar, Blake Hechtman, Jonathon Shlens

* CVPR 2021 Oral 

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Scalable Scene Flow from Point Clouds in the Real World


Mar 15, 2021
Philipp Jund, Chris Sweeney, Nichola Abdo, Zhifeng Chen, Jonathon Shlens


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Revisiting ResNets: Improved Training and Scaling Strategies


Mar 13, 2021
Irwan Bello, William Fedus, Xianzhi Du, Ekin D. Cubuk, Aravind Srinivas, Tsung-Yi Lin, Jonathon Shlens, Barret Zoph


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Pseudo-labeling for Scalable 3D Object Detection


Mar 02, 2021
Benjamin Caine, Rebecca Roelofs, Vijay Vasudevan, Jiquan Ngiam, Yuning Chai, Zhifeng Chen, Jonathon Shlens


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Bottleneck Transformers for Visual Recognition


Jan 27, 2021
Aravind Srinivas, Tsung-Yi Lin, Niki Parmar, Jonathon Shlens, Pieter Abbeel, Ashish Vaswani

* Technical Report, 20 pages, 13 figures, 19 tables 

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Mitigating bias in calibration error estimation


Dec 15, 2020
Rebecca Roelofs, Nicholas Cain, Jonathon Shlens, Michael C. Mozer


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


May 22, 2020
Liang-Chieh Chen, Raphael Gontijo Lopes, Bowen Cheng, Maxwell D. Collins, Ekin D. Cubuk, Barret Zoph, Hartwig Adam, Jonathon Shlens

* 21 pages including reference 

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Streaming Object Detection for 3-D Point Clouds


May 04, 2020
Wei Han, Zhengdong Zhang, Benjamin Caine, Brandon Yang, Christoph Sprunk, Ouais Alsharif, Jiquan Ngiam, Vijay Vasudevan, Jonathon Shlens, Zhifeng Chen


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Improving 3D Object Detection through Progressive Population Based Augmentation


Apr 02, 2020
Shuyang Cheng, Zhaoqi Leng, Ekin Dogus Cubuk, Barret Zoph, Chunyan Bai, Jiquan Ngiam, Yang Song, Benjamin Caine, Vijay Vasudevan, Congcong Li, Quoc V. Le, Jonathon Shlens, Dragomir Anguelov


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Revisiting Spatial Invariance with Low-Rank Local Connectivity


Feb 07, 2020
Gamaleldin F. Elsayed, Prajit Ramachandran, Jonathon Shlens, Simon Kornblith


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Scalability in Perception for Autonomous Driving: Waymo Open Dataset


Dec 18, 2019
Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla, Aurelien Chouard, Vijaysai Patnaik, Paul Tsui, James Guo, Yin Zhou, Yuning Chai, Benjamin Caine, Vijay Vasudevan, Wei Han, Jiquan Ngiam, Hang Zhao, Aleksei Timofeev, Scott Ettinger, Maxim Krivokon, Amy Gao, Aditya Joshi, Yu Zhang, Jonathon Shlens, Zhifeng Chen, Dragomir Anguelov


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RandAugment: Practical automated data augmentation with a reduced search space


Nov 14, 2019
Ekin D. Cubuk, Barret Zoph, Jonathon Shlens, Quoc V. Le

* Added ablation experiments 

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RandAugment: Practical data augmentation with no separate search


Sep 30, 2019
Ekin D. Cubuk, Barret Zoph, Jonathon Shlens, Quoc V. Le


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StarNet: Targeted Computation for Object Detection in Point Clouds


Aug 29, 2019
Jiquan Ngiam, Benjamin Caine, Wei Han, Brandon Yang, Yuning Chai, Pei Sun, Yin Zhou, Xi Yi, Ouais Alsharif, Patrick Nguyen, Zhifeng Chen, Jonathon Shlens, Vijay Vasudevan


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Learning Data Augmentation Strategies for Object Detection


Jun 26, 2019
Barret Zoph, Ekin D. Cubuk, Golnaz Ghiasi, Tsung-Yi Lin, Jonathon Shlens, Quoc V. Le


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A Fourier Perspective on Model Robustness in Computer Vision


Jun 21, 2019
Dong Yin, Raphael Gontijo Lopes, Jonathon Shlens, Ekin D. Cubuk, Justin Gilmer


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Stand-Alone Self-Attention in Vision Models


Jun 13, 2019
Prajit Ramachandran, Niki Parmar, Ashish Vaswani, Irwan Bello, Anselm Levskaya, Jonathon Shlens


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Visual Wake Words Dataset


Jun 12, 2019
Aakanksha Chowdhery, Pete Warden, Jonathon Shlens, Andrew Howard, Rocky Rhodes

* 10 pages, 4 figures 

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Using learned optimizers to make models robust to input noise


Jun 08, 2019
Luke Metz, Niru Maheswaranathan, Jonathon Shlens, Jascha Sohl-Dickstein, Ekin D. Cubuk


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Using Videos to Evaluate Image Model Robustness


Apr 24, 2019
Keren Gu, Brandon Yang, Jiquan Ngiam, Quoc Le, Jonathon Shlens


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Attention Augmented Convolutional Networks


Apr 22, 2019
Irwan Bello, Barret Zoph, Ashish Vaswani, Jonathon Shlens, Quoc V. Le


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A Learned Representation for Scalable Vector Graphics


Apr 04, 2019
Raphael Gontijo Lopes, David Ha, Douglas Eck, Jonathon Shlens


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Accelerating Training of Deep Neural Networks with a Standardization Loss


Mar 03, 2019
Jasmine Collins, Johannes Balle, Jonathon Shlens

* Technical report. Results presented at WiML 2018 

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Searching for Efficient Multi-Scale Architectures for Dense Image Prediction


Sep 11, 2018
Liang-Chieh Chen, Maxwell D. Collins, Yukun Zhu, George Papandreou, Barret Zoph, Florian Schroff, Hartwig Adam, Jonathon Shlens

* Accepted by NIPS 2018 

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Progressive Neural Architecture Search


Jul 26, 2018
Chenxi Liu, Barret Zoph, Maxim Neumann, Jonathon Shlens, Wei Hua, Li-Jia Li, Li Fei-Fei, Alan Yuille, Jonathan Huang, Kevin Murphy

* To appear in ECCV 2018 as oral. The code and checkpoint for PNASNet-5 trained on ImageNet (both Mobile and Large) can now be downloaded from https://github.com/tensorflow/models/tree/master/research/slim#Pretrained. Also see https://github.com/chenxi116/PNASNet.TF for refactored and simplified TensorFlow code; see https://github.com/chenxi116/PNASNet.pytorch for exact conversion to PyTorch 

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A Dataset and Architecture for Visual Reasoning with a Working Memory


Jul 20, 2018
Guangyu Robert Yang, Igor Ganichev, Xiao-Jing Wang, Jonathon Shlens, David Sussillo


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