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Vijay Vasudevan

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

23

Venues

15

Active years

2007–2022

Best venue rank

A*

Where they publish

Papers

23 indexed papers, newest first.

YearVenueTitleAuthors
2022ICLRScene Transformer: A unified architecture for predicting future trajectories of multiple agents.Jiquan Ngiam, Vijay Vasudevan, Benjamin Caine, Zhengdong Zhang, Hao-Tien Lewis Chiang, Jeffrey Ling, Rebecca Roelofs, Alex Bewley, Chenxi Liu, Ashish Venugopal, David J. Weiss, Ben Sapp, Zhifeng Chen, Jonathon Shlens
2021CVPRTo the Point: Efficient 3D Object Detection in the Range Image With Graph Convolution Kernels.Yuning Chai, Pei Sun, Jiquan Ngiam, Weiyue Wang, Benjamin Caine, Vijay Vasudevan, Xiao Zhang, Dragomir Anguelov
2021ICCVLarge Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset.Scott Ettinger, Shuyang Cheng, Benjamin Caine, Chenxi Liu, Hang Zhao, Sabeek Pradhan, Yuning Chai, Ben Sapp, Charles R. Qi, Yin Zhou, Zoey Yang, Aurelien Chouard, Pei Sun, Jiquan Ngiam, Vijay Vasudevan, Alexander McCauley, Jonathon Shlens, Dragomir Anguelov
2020CVPRScalability in Perception for Autonomous Driving: Waymo Open Dataset.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
2020ECCVImproving 3D Object Detection Through Progressive Population Based Augmentation.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
2020ECCVStreaming Object Detection for 3-D Point Clouds.Wei Han, Zhengdong Zhang, Benjamin Caine, Brandon Yang, Christoph Sprunk, Ouais Alsharif, Jiquan Ngiam, Vijay Vasudevan, Jonathon Shlens, Zhifeng Chen
2019CoRLEnd-to-End Multi-View Fusion for 3D Object Detection in LiDAR Point Clouds.Yin Zhou, Pei Sun, Yu Zhang, Dragomir Anguelov, Jiyang Gao, Tom Ouyang, James Guo, Jiquan Ngiam, Vijay Vasudevan
2019CVPRAutoAugment: Learning Augmentation Strategies From Data.Ekin D. Cubuk, Barret Zoph, Dandelion Man, Vijay Vasudevan, Quoc V. Le
2019CVPRMnasNet: Platform-Aware Neural Architecture Search for Mobile.Mingxing Tan, Bo Chen, Ruoming Pang, Vijay Vasudevan, Mark Sandler, Andrew Howard, Quoc V. Le
2019ICCVSearching for MobileNetV3.Andrew Howard, Ruoming Pang, Hartwig Adam, Quoc V. Le, Mark Sandler, Bo Chen, Weijun Wang, Liang-Chieh Chen, Mingxing Tan, Grace Chu, Vijay Vasudevan, Yukun Zhu
2018CVPRLearning Transferable Architectures for Scalable Image Recognition.Barret Zoph, Vijay Vasudevan, Jonathon Shlens, Quoc V. Le
2018ICMLUnderstanding and Simplifying One-Shot Architecture Search.Gabriel Bender, Pieter-Jan Kindermans, Barret Zoph, Vijay Vasudevan, Quoc V. Le
2017ICMLNeural Optimizer Search with Reinforcement Learning.Irwan Bello, Barret Zoph, Vijay Vasudevan, Quoc V. Le
2017ISCAIn-Datacenter Performance Analysis of a Tensor Processing Unit.Norman P. Jouppi, Cliff Young, Nishant Patil, David A. Patterson, Gaurav Agrawal, Raminder Bajwa, Sarah Bates, Suresh Bhatia, Nan Boden, Al Borchers, Rick Boyle, Pierre-luc Cantin, Clifford Chao, Chris Clark, Jeremy Coriell, Mike Daley, Matt Dau, Jeffrey Dean, Ben Gelb, Tara Vazir Ghaemmaghami, Rajendra Gottipati, William Gulland, Robert Hagmann, C. Richard Ho, Doug Hogberg, John Hu, Robert Hundt, Dan Hurt, Julian Ibarz, Aaron Jaffey, Alek Jaworski, Alexander Kaplan, Harshit Khaitan, Daniel Killebrew, Andy Koch, Naveen Kumar, Steve Lacy, James Laudon, James Law, Diemthu Le, Chris Leary, Zhuyuan Liu, Kyle Lucke, Alan Lundin, Gordon MacKean, Adriana Maggiore, Maire Mahony, Kieran Miller, Rahul Nagarajan, Ravi Narayanaswami, Ray Ni, Kathy Nix, Thomas Norrie, Mark Omernick, Narayana Penukonda, Andy Phelps, Jonathan Ross, Matt Ross, Amir Salek, Emad Samadiani, Chris Severn, Gregory Sizikov, Matthew Snelham, Jed Souter, Dan Steinberg, Andy Swing, Mercedes Tan, Gregory Thorson, Bo Tian, Horia Toma, Erick Tuttle, Vijay Vasudevan, Richard Walter, Walter Wang, Eric Wilcox, Doe Hyun Yoon
2016OSDITensorFlow: A System for Large-Scale Machine Learning.Martn Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, Manjunath Kudlur, Josh Levenberg, Rajat Monga, Sherry Moore, Derek Gordon Murray, Benoit Steiner, Paul A. Tucker, Vijay Vasudevan, Pete Warden, Martin Wicke, Yuan Yu, Xiaoqiang Zheng
2012CLOUDUsing vector interfaces to deliver millions of IOPS from a networked key-value storage server.Vijay Vasudevan, Michael Kaminsky, David G. Andersen
2011HotOSThe Case for VOS: The Vector Operating System.Vijay Vasudevan, David G. Andersen, Michael Kaminsky
2009HotOSFAWNdamentally Power-efficient Clusters.Vijay Vasudevan, Jason Franklin, David G. Andersen, Amar Phanishayee, Lawrence Tan, Michael Kaminsky, Iulian Moraru
2009PAMA First Look at Media Conferencing Traffic in the Global Enterprise.Vijay Vasudevan, Sudipta Sengupta, Jin Li
2009SIGCOMMSafe and effective fine-grained TCP retransmissions for datacenter communication.Vijay Vasudevan, Amar Phanishayee, Hiral Shah, Elie Krevat, David G. Andersen, Gregory R. Ganger, Garth A. Gibson, Brian Mueller
2009SOSPFAWN: a fast array of wimpy nodes.David G. Andersen, Jason Franklin, Michael Kaminsky, Amar Phanishayee, Lawrence Tan, Vijay Vasudevan
2008FASTMeasurement and Analysis of TCP Throughput Collapse in Cluster-based Storage Systems.Amar Phanishayee, Elie Krevat, Vijay Vasudevan, David G. Andersen, Gregory R. Ganger, Garth A. Gibson, Srinivasan Seshan
2007SCOn application-level approaches to avoiding TCP throughput collapse in cluster-based storage systems.Elie Krevat, Vijay Vasudevan, Amar Phanishayee, David G. Andersen, Gregory R. Ganger, Garth A. Gibson, Srinivasan Seshan